Abstract
An intensive field measurement was carried out to assess the force acting on the rollers for a large diameter pipe conveyor. A special idler enclosing two dynamometers was designed and installed in the various roller positions. The forces on the rollers were metered while the conveyor was running with and without conveying material. The position of the two dynamometers was such allowing to derive the theoretical contact point of the belt onto the roller. The measurements were carried out in a straight section of the pipe conveyor and in the centre part of a horizontal curve. Obtained data are presented, analysed, and compared with the values from a six-point stiffness testing device. Further, the participation factor of the material load on the roller forces for a single roller is derived. The study concludes with a critical review of the findings comparing them with results presented in the literature.
1 Introduction
The design engineer of a pipe conveyor needs to take a series of decision establishing the design and characteristic of every single component. The State-of-the-Art knowledge allows the designer to take sound and economically choices for up to medium size pipe conveyors. When it comes to large diameter pipe conveyors, references and or design guidelines become rare or not existing at all. Whereas, most design parameters can be extrapolated, when it comes to the roller design, the engineer is mostly left to its own experience. The lack of standards and guidelines is also expressed in [1] and [2].
Current works [1, 3,4,5,6,7,8,9,10] and [11] have studied and collected in dept the behaviour of belt forming forces. However, all the measurements are carried out on test stands and the obtained results are not compared to measurements taken on executed and operational pipe conveyors. The principal aim of the cited studies was to detect abnormal behaviour or as in [12] to assure the belt having sufficient stiffness to not collapse during operation.
[13] and [14] approached the belt forming forces problem with the means of finite element analysis. Unfortunately, both studies again only compare to laboratory experiments.
In contrast [15] and [16] did measurements on an existing pipe conveyor, but unfortunately lacked a direct comparison to estimated values or laboratory experiments.
All above cited works present a deep insight into the behaviour of belt stiffness and associated belt forming forces. Dependencies on belt forming forces were investigated varying belt tension, position and material fill. The studies did those investigations for pipe conveyors with diameters up to 350mm.
Starting from the existing knowledge presented above, this work wants to contribute with roller load data measured during commissioning on a large diameter pipe conveyor. Those data are compared with experimental results from a six-point stiffness test device. The study is pushed further investigating probabilistic characteristics of the forces on the rollers and with the help of signal identification, the belt behaviour is characterised.
1.1 System
The pipe conveyer is part of a coal thermoelectric power plant, conveying the coal from the jetty into the coal storage. The conveyor starts out on the ground in a straight line, then makes a horizontal curve to the right and gains elevation to the coal storage building top. The pipe conveyor system with all its dimension and main technical data are represented in Figure 1. The panel spacing along straight sections of the conveyor is 2.2m were as in curved sections (vertical and horizontal) the panel spacing is 1.6m.

Pipe system in sectional and plan view, including technical characteristics.
1.2 Definitions
Throughout the document rollers and panels are identified with numbers. The individual numbers of the rollers are shown in Section A-A in Figure 1.
Roller numbers have been attributed anticlockwise in the running sense of each strand of the conveyor. Panels where numbered on site increasing from the jetty towards the storage building.
The single measurements on the rollers are labelled with following string: id_yyy_rr_tttt_ss_nnnn. Where id is ID number, yyy panel number, rr roller number, tttt belt running condition, ss if a stiffener profile was applied to the panel SY(yes) or SN(no) and nnnn additional notes (may be suppressed).
This naming convention is used throughout this document. For example, 01_145_08_all_SN means a measurement with ID 01, taken on panel 145 of roller 08 in all conditions (start, running and stop) without stiffener profile on panel.
During commissioning phase light vibrations on the panels were observed. To mitigate those vibrations a stiffener profile was applied horizontally in the vertical centre of the panel. Aiming to understand, if the vibrations have any influence on the roller loads. Measurement campaigns were carried out with and without the stiffener profile showing no influence whatsoever.
2 Laboratory experiments
The transverse flexibility of the belt is experimented by testing a 150mm wide section in a six-point stiffness test device. This test configuration can be considered the minimum and most simple setup to investigate the belt behaviour in terms of forming a pipe and as such is widely used.
For this study two stripes of belt were prepared according to recommendations given in [17]. [10] gives a good summery of validated test rigs. A large variety of more or less complex test stand exist, some even tensioning the belt. Figure 2 shows images of the six-point stiffness test device used for this study. The contact surface properties between the rollers and belt were tried to be as realistic as possible. To achieve this the contact plates were convex in shape and painted. The load cells are U93 cells from HBM. On purpose the experiment was kept simple, as the aim was to understand if valid design parameters can be derived anyway. Results obtained from the contact force experiment are summarised in Table 1. The contact forces are measured for 5min after placing the sample in the six-point stiffness test device. The measurement rate was 5Hz and the contact forces is the arithmetic mean, Eq. (1), of the final 2s of the measured time series. Between the overlap a 0.1 mm thick PTFE Film was placed in order to reduce as much as possible friction forces. The so measured contact forces can be considered neither reduced due to the belt opening force being reduce by the friction nor to be overestimated due to be belt locking in the overlap.

Six-point stiffness test device with sample installed in carrying strain configuration.
Results from the six-point stiffness test of the two 0.15 m wide belt samples. For every sample the sample’s weight, troughability and the force on roller 01 to 12 is shown. Last two rows arithmetic mean and standard deviation of measured values.
| Roller | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sample | Mass | ymax | 01 | 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 10 | 11 | 12 |
| kg | m | N | ||||||||||||
| 1 | 12.19 | 0.838 | 180 | 188 | 96 | 204 | 5 | 125 | 277 | 30 | 76 | 95 | 106 | 36 |
| 2 | 11.97 | 0.830 | 167 | 191 | 83 | 178 | 22 | 131 | 276 | 58 | 94 | 77 | 113 | 69 |
| μ | 12.08 | 0.834 | 173 | 189 | 89 | 191 | 14 | 128 | 277 | 44 | 85 | 86 | 109 | 52 |
| σ | 0.16 | 0.006 | 9 | 2 | 9 | 18 | 12 | 4 | 1 | 20 | 12 | 13 | 5 | 23 |
Both configurations with overlap on top and at bottom were tested and the troughability test as per [17] was performed.
Considering the belt in transversal direction to have uniform stiffness (This is not correct as the belt has transversal steel reinforcement only in the central part and not extending out to the border.) the transversal stiffness can be estimated following the approach described in [20].
Using the analytical Fertis models results in a corresponding transversal stiffness of 45 · 106N m−2m−1.
3 Material and methods
Measurements on the pipe system had to be carried out during commissioning phase. This posed challenges not only on the measurement device as such but also on the installation onto the pipe system. Two locations along the pipe were identified, one in a straight section and one in the middle of the horizontal curve. The positions are indicatively shown in Figure 1. The two locations are on panel 145, located about 385 m from tail drum and on panel 711 located about 1555 m from tail. Panel 711 is in the horizontal curve’s middle. Those location were chosen such to obtain representative data to directly compare with the laboratory experiments.
A special idler was constructed to measure forces excreted onto the rollers by the belt system, see Figure 3. This idler housed two digital dynamometers equipped with a spherical loading head on top. The roller support rests freely on top of the loading heads and any possible contact with the housing was reduced as much as possible. The digital dynamometer has a resolution of 5N and the registered values can be logged via RS232C on a computer. The special idler housing was fixed with the same bolts to the panel as the standard idlers and care was taking to not alter roller the position.

Special idler constructed for measuring force excreted onto the roller.
In total measurements were taken in 22 roller positions on panel 145 and 711, not measuring roller in position 05 and 09 on panel 145. In each roller position the force of the left Fleft and right Fright dynamometer was logged with a sample rate of 5Hz. The minimum measurement duration of each roller position was well beyond 900s. This is the time needed for the belt to complete one full revolution at a speed of 5.0ms−1.
During most measurements, the absorption of the three motors and other drive related parameters were logged. Those data were used to verify the overall system behaviour during roller force measurement but are not discussed further.
4 Field measurement results and discussion
The raw data for every roller position needed preprocessing before undergoing specific analysis. Due to the inherent functionality of the RS232C interface the logs of the two dynamometers are not done at the same time instant. Performing any operations (e.g. Ftot = Fleft + Fright) on the two signals Fleft and Fright required to re-sample them to make the discrete values have identical time instants.
In the first part, the data are analysed in the time domain, performing auto-covariance and cross-covariance of the signals. As special cross-covariance is made between the signal and an identification function in order to identify individual sections of the belt. The study in the time domain is concluded with probability density of the force signals. In the second part, the deviation angle δ from the roller centre to the presumed contact point (see Figure 11) is derived and the data presented in radial graphs. A quick view on the probability density of the deviation angle concludes the study. The last and third part shows the results of forces on roller 01 on panel 145 while coal is conveyed. The section concludes with a table collecting the contact force values and comparing them to the experimentally obtained values.
4.1 Time domain analysis
The individual signals were visually inspected for any anomalies. In this process the boundaries, start and end of measurement period, were set. Figure 4 show the left Fleft and right Fright roller force data as well as the summed force Ftot.

Left, right and summed force acting on roller 01 on panel 145. The boundary indicates start and end of measurement.
A further target was to identity the force Fstatic acting on the rollers with the belt at rest. From looking at the signals it became clear that after the belt halted the roller force reached a constant value after about 10s. This constant value is taken as static roller force Fstatic. The static force Fstatic for the various roller positions can be found in Table 2.
Compendium of measured force on rollers. Forces are scaled to a 1.0m long belt element.
| Roller | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Value | Unit | 01 | 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 10 | 11 | 12 |
| Laboratory experiment | |||||||||||||
| μFexp | Nm−1 | 1157 | 1261 | 594 | 1274 | 93 | 855 | 1844 | 295 | 565 | 575 | 728 | 349 |
| σFexp | Nm−1 | 60.1 | 13.1 | 61.2 | 118.5 | 81.1 | 27.6 | 3.4 | 131.3 | 83.1 | 85.9 | 33.4 | 152.5 |
| Field measurement on Panel 145 | |||||||||||||
| μFtot | Nm−1 | 899 | 693 | 257 | 861 | - | 924 | 1803 | 768 | - | 439 | 640 | 814 |
| σFtot | Nm−1 | 42.7 | 34.5 | 50.3 | 53.3 | - | 46.8 | 103.5 | 112.3 | - | 132.4 | 125.2 | 102.7 |
| Fstatic | Nm−1 | 837 | 652 | 246 | 653 | - | 802 | 1494 | 664 | - | 333 | 411 | 667 |
| μδ | ◦ | 0.93 | -1.43 | 4.11 | -4.14 | - | -2.06 | 4.19 | 7.84 | - | -0.56 | 2.50 | -10.43 |
| σδ | ◦ | 0.573 | 0.546 | 3.479 | 1.219 | - | 0.478 | 0.901 | 1.483 | - | 0.738 | 0.650 | 1.396 |
| Field measurement on Panel 711 | |||||||||||||
| μFtot | Nm−1 | 1351 | 1421 | 1087 | 1062 | 156 | 666 | 1801 | 779 | 357 | 652 | 1186 | 1539 |
| σFtot | Nm−1 1 | 64.7 | 65.8 | 62.8 | 99.5 | 44.5 | 68.0 | 154.0 | 152.0 | 166.5 | 170.3 | 139.7 | 169.0 |
| Fstatic | Nm− | 1116 | 1040 | 749 | 562 | 203 | 499 | 1658 | 572 | 203 | 549 | 895 | 1450 |
| μδ | ◦ | -1.48 | -4.76 | 7.01 | -5.21 | 14.44 | 7.39 | 2.20 | 7.31 | 5.13 | -0.96 | -3.52 | -8.44 |
| σδ | ◦ | 0.472 | 0.603 | 1.315 | 1.219 | 5.710 | 0.544 | 0.925 | 1.137 | 1.564 | 0.640 | 0.450 | 1.271 |
Looking at the signal in Figure 4 a not surprising repetitive pattern becomes visual. In addition, the signal shows distinct footprints i.e. offset of the mean for a certain duration. Detecting those regularities can reveal fundamental in context of computerized system identification and anomaly detection.
The arithmetic mean μf of a finite-duration sequences f (i) with number of elements N is defined as
and the standard deviation σf as
A powerful instrument to understand temporal similarity of two series is the cross-correlation. The crosscorrelation and autocorrelation (signal correlated with itself) for finite-duration sequences x(n) and y(n) can be expressed as
where i = l, k = 0 for l ≤ 0, and i = 0, k = l for l < 0 following [18], mean see Eq. (1). The cross-correlation can be normalised following
and the autocorrelation can be normalised following
All temporal correlation studies are carried out on the summed roller force Ftot. The above formulae are only valid when the signal is discrete in time with constant sampling rate. In consequence the time interval has no influence on the correlation. In the following, lag is number of discrete sample points, i.e. with a sampling frequency of 5Hz, 1 lag corresponds to 0.2s.
As the belt is a continuous loop, the expectation is the signal to repeat itself after the belt to complete one full revolution. Therefore, the autocorrelation should give the second highest correlation value exactly when the signal starts to repeat itself. in the upper part Figure 5 shows the autocorrelation function identifying 2nd to 4th peak, in the lower part the signal is overlaid with itself shifted for the lag of the second most significant peak.

Upper plot normalised auto-correlation with 2nd to 4th peak identified. Bottom plot signal overlaid with shifted signal by 2nd peak’s lag. Signal name indicated in the title of bottom plot.
Looking at the autocorrelation analysis of all signals shows the 2nd peak’s lag to range from 4214 × 0.2s to 4232 × 0.2s. With an effective belt speed of 5.18ms−1 (the belt more likely runs at the speed of its external surface when wrap around a driving drum) the lag translate into a belt length of 4366m to 4384m. This is well in line with the theoretical overall belt length of 4382 m leading to a maximum length error of −0.3% in relation to the theoretical belt length.
The cross-correlation calculated between two different roller force measurements indicates of the degree of similarity. In Figure 6 this is done for the roller 04 and 07 on panel 145. Although, apparently the signals have low similarity the cross-correlation maximises with c̄xy = 0.645.

Upper plot normalised cross-correlation of loads on two different rollers indicating 1st to 3rd peak. Bottom plot signal overlaid with shifted signal by 1st peak’s lag.
The cross-correlation was calculated for multiple combination of roller positions. What comes apparent is that the cross-correlation value as such may not be very high however, the peaks are distinctive, see Figure 7.

Upper plot normalised cross-correlation of loads on two different rollers indicating 1st to 3rd peak. Bottom plot signal overlaid with shifted signal by 1st peak’s lag.
When the cross-correlation is computed between a signal and a defined function (or template function), patterns on the signal can be identified. The aim here is to identify individual belt sections revealing themselves with an off-set mean value. The template function
with Fconst. constant value, ε a sufficient small number close to 0. The belt section length s is considered as its travel time t0 = s/v. Following values were applied Fconst. = 485N, ε = −4.85N and belt section length s = 180m.
Figure 8 shows that in the 4223 lags long belt three distinct belt sectionswere identified. These three belt sections can be understood as to be stiffer in transversal direction and in consequence exerting higher forces on the roller.

Upper plot normalised cross-correlation between roller force and template function indicating 1st to 5th peak. Bottom plot roller force signal with marked areas of identified belt section.
The probability density for the force acting on the carrying strand rollers are shown in Figure 9 and Figure 10. Together with the probability density the mean μmeas and standard deviation σmeas of the force is computed, see Table 2. The plots and values are derived taking one complete revolution of the belt.

Probability density of the force on the rollers on panel 145 carrying strain.

Probability density of the force on the rollers on panel 711 carrying strain.
The first thing, coming apparent comparing Figure 9 and Figure 10 is the shift of the force on rollers on panel 711. As expected, roller 02 and 03 located towards the centre of the horizontal curve increase whereas roller 05 and 06 decrease. The top and bottom rollers 01 and 04 do not change significantly.
Assuming the force on the roller to be a uniform stochastic process, the force distributions should be normally distributed. However, a certain level of divergencecan be observed. Among others, this can be attributed to the non-uniformity of the individual belt sections.
4.2 Radial representation
An interesting parameter to investigate is the theoretical contact points of the belt on the rollers. The contact point location for every roller can be estimated based on the two (left and right) dynamometer readings. The deviation angle δ between the roller centre and the contact point is defined as graphed in Figure 11 and expressed in Eq. (8).

Definition of the deviation angle δ between the roller centre and the theoretical contact point.
with ΔL axial distance of the load cells 300mm, and R external radii of pipe 350mm. The measurement idler was always installed such that the left dynamometer is in anticlockwise position of the right one.
Figure 12,13,14 and 15 show the force on the roller for all measured roller positions on panel 145 and 711. It can be observed that the mean deviation angle is never 0◦ and thus the contact points is not in the roller centre. Worth noticing is that, the contact point on rollers left and right from the overlap move towards it. This independent if the panel is located in a horizontal curve or not.

Plot showing forces Ftot on panel 145 carrying strain rollers, together with the mean force μFtot and mean angle μδ are shown.

Plot showing forces Ftot on panel 145 carrying return rollers, together with the mean force μFtot and mean angle μδ are shown.

Plot showing forces Ftot on panel 711 carrying strain rollers, together with the mean force μFtot and mean angle μδ are shown.

Plot showing forces Ftot on panel 711 return strain rollers, together with the mean force μFtot and mean angle μδ are shown.
The probability density distribution of the deviation angle δ is shown in Figure 16. The mean μδ and standard deviation σδ of the deviation angle δ is listed in Table 2.

Probability density of deviation angle δ on panel 711 return strain rollers.
4.3 Force on roller while conveying
Commissioning phase foresaw several conveying material tests. During such test the forces Lleft and Lright acting on roller 01 on panel 145 were measured. To differentiate from forces on roller denominated with F... measured without conveying material. For the sake of clarity when material is conveyed the forces are denominated with L.... The measurementswere carried out in two occasions with measurement duration larger than one hour. Figure 17 shows the measured forces together with the instantaneous material flow rate Q(i).

Left, right and summed force acting on roller 01 on panel 145 while conveying material. On the same axis the instantaneous material flow rate is plotted. The boundary indicates one complete belt length.
The roller forces with and without conveying material can be set in following relation
with Wmat material weight and φn participation factor of material load on force on roller n. The material weight Wmat can be derived from the instantaneous material flow rate Q(i).
with Q(i) instantaneous material flow rate, v = 5.18ms−1 and l = 2.2m panel spacing. Here, the instantaneous material flow rate Q(i) is indicated as a function of (i) to underline it being a non-constant finite-duration sequences.
On the conventional conveyor belt feeding the pipe, a weight scale is installed metering the instantaneous material flow rate Q(i). The instantaneous material flow rate Q(i) gauged at the scale reaches panel 145 approximately 84.8s later. For the analysis Q(i) was shifted accordingly in time.
Finally, the participation factor φn of material load on force on roller n can be expressed as
with arithmetic mean μ... taken over one belt length. From the data analysis a participation factor φ01 = 0.68 results. Similar, although slightly smaller value was found by [14]. For conventional belt conveyors with trough angle of 60◦ the participation factor φn is slightly larger, see [19].
Figure 18 and 19 show two examples of the cross-correlation of the measured force on roller with and without material being conveyed. For both examples good cross-correlation is achieved and the Ltot − Wmat φ01 signal has the same distinctive patter as Ftot. The lag is not the same in both examples as the pipe conveyor was halted and restarted in-between.

First example: Cross-correlation of measured force on roller with and without material being conveyed. In the bottom plot signal overlaid with shifted signal by 1st peak’s lag.

Second example: Cross-correlation of measured force on roller with and without material being conveyed. In the bottom plot signal overlaid with shifted signal by 1st peak’s lag.
4.4 Data compendium
Table 2 collects the data from laboratory experiment and field measurements. The values are stated for a 1m long belt segment. Following scale factors apply, 1/0.15m for laboratory experiment, 1/2.2m on panel 145 and 1/1.6m on panel 711.
To evaluate the exactness of the measurements the sum of vertical forces (including belt mass) and the sum of horizontal forces is related to the total sum of roller forces. In perfect condition this ratio would result zero. For the laboratory experiments the vertical force ratio is 0.036 and the horizontal ratio 0.097. During the field measurements only on panel 711 all 6 rollers where measured. The vertical force ratio is 0.067 and the horizontal force ratio 0.122. When making the sum of horizontal forces the estimated horizontal radial force due to belt tension was considered. The ratios result sufficient small to proof the values trustworthy.
In general terms it becomes apparent that the field measurements for panel 145 and 711 are well aligned. For both panel and on the carrying and return strain, the most loaded roller (apart from belt and material mass) is the one where the overlap rests, rollers 04 and 07. The laboratory experiment compared to panel 145, give values indicatively in line. However, the laboratory values are not sufficiently exact to base the roller design on. Computing Fstatic ratio μFtot shows that the static force can be as low as 53% of μFtot.
5 Conclusion
The forces acting on pipe conveyor rollers were assessed with a special idler mounted in different roller and panel position while and while not conveying material. These data were analysed in the time domain and the theoretical contact point calculated. Main stochastic parameters of the force acting onto the rollers are derived and the system identified with help of cross-correlation.
During these analyses it could be shown that a system identification can be performed on the force signals. Especially, individual belt section could be clearly identified, proofing the general non uniformity of the belt in terms of transversal stiffness.
One cardinal point is the belt tension [4], which has an important role in the roller forces. This manifest the large difference between static force and force acting while the conveyor is running on the rollers. An important factor which must be considered when dealing with high tensional force in belt are installation tolerances. Which, as small as they may be, by deviating the belt increase the force acting on the rollers significantly.
Comparing forces on rollers whilst conveying material with forces without conveying material allows to derive the material load participation factor for every roller. For the roller in central bottom position is results in φ01 = 0.68.
To further enhance the presented method, it would be necessary to make a permanent installation and measure simultaneously the forces on all rollers. Combined with an evaluation unit it would allow for a continuous system monitoring. To increasingly fine tune the overall system characterisation the horizontal roller force component and the belt tension should be included into the analysis.
Finally, the measured values are compared with those obtained from a six-point stiffness test. This test allows to gain insight into the behaviour of the belt and contact forces. However, they are not sufficient representative to base design decisions on. In the laboratory the friction in the overlap is reduced as much as possible, however its possible impact especially in the field is not sufficiently considered.
Based on this study it becomes immanent that, there is limited knowledge when it comes to the design of large diameter pipe conveyors. The lack of a sound analytical model and or experimental setup to estimate the contact forces make a reliable design difficult and specially to perform an economic design nearly impossible. The data here presented however, give a solid reference in terms of force magnitude and distribution for pipe conveyor systems utilizing belts with similar transversal stiffness and width.
6 Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Further, this research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
7 Data Availability Statement
Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions. The system description, drawings and photos are restricted. The measured data that support the findings of this study are available from the corresponding author, [E.B.], upon reasonable request. The data analysis code is shared under Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).
References
[1] M. Zamiralova, G. Lodewijks, Pipe conveyor test rigs: Design, application and test results – part a, Bulk Solids Handling 34 (5) (2014) 40–45.Search in Google Scholar
[2] V. Molnár, G. Fedorko, M. Andrejiová, A. Grinčová, M. Kopas, Monitoring of dependences and ratios of normal contact forces on hexagonal idler housings of the pipe conveyor, Measurement 64 (2015) 168–176. http://dx.doi.org/10.1016/j measurement.2014.12.055.10.1016/j.measurement.2014.12.055Search in Google Scholar
[3] V. Molnár, G. Fedorko, B. Stehlíková, Ľ. Kudelás, N. Husáková, Statistical approach for evaluation of pipe conveyor’s belt contact forces on guide idlers,Measurement 46 (9) (2013) 3127–3135. http://dx.doi.org/10.1016/j.measurement.2013.06.01910.1016/j.measurement.2013.06.019Search in Google Scholar
[4] V. Molnár, G. Fedorko, B. Stehlíková, P. Michalik, M. Kopas, Mathematical models for indirect measurement of contact forces in hexagonal idler housing of pipe conveyor, Measurement 47 (2014) 794–803. http://dx.doi.org/10.1016/j.measurement.2013.10.01210.1016/j.measurement.2013.10.012Search in Google Scholar
[5] V. Molnár, G. Fedorko, M. Andrejiová, A. Grinčová, P. Michalik, Online monitoring of a pipe conveyor. part i: Measurement and analysis of selected operational parameters, Measurement 94 (2016) 364–371.10.1016/j.measurement.2016.08.018Search in Google Scholar
[6] V. Molnár, G. Fedorko, M. Andrejiová, A. Grinčová, P. Michalik, Online monitoring of pipe conveyors part II: Evaluation of selected operational parameters for the design of expert system, Measurement 104 (2017) 1–11.10.1016/j.measurement.2017.03.011Search in Google Scholar
[7] V. Molnár, G. Fedorko, L. Homolka, P. Michalik, Z. Tučková, Utilisation of measurements to predict the relationship between contact forces on the pipe conveyor idler rollers and the tension force of the conveyor belt, Measurement 136 (2019) 735–744.10.1016/j.measurement.2019.01.016Search in Google Scholar
[8] V. Molnár, G. Fedorko, S. Honus, M. Andrejiová, A. Grinčová, P. Michalik, Prediction of contact forces on idler rolls of a pipe conveyor idler housing for the needs of its online monitoring, Measurement 139 (2019) 177–184.10.1016/j.measurement.2019.02.008Search in Google Scholar
[9] M. Zamiralova, G. Lodewijks, Measurement of a pipe belt conveyor contact forces and cross section deformation by means of the six-point pipe belt stiffness testing device, Measurement 70 (2015) 232–246.10.1016/j.measurement.2015.03.045Search in Google Scholar
[10] M. Zamiralova, G. Lodewijks, Pipe conveyor test rigs: Design, application and test results – part b, Bulk Solids Handling 34 (6) (2014) 38–46.Search in Google Scholar
[11] M. Zamiralova, G. Lodewijks, Pipe conveyor test rigs: Design, application and test results – part c, Bulk Solids Handling 35 (1) (2015) 42–49.Search in Google Scholar
[12] M. Barburski, Analysis of the pipe conveyor belt pressure on the rollers on its circuit., Journal of Industrial Textiles 45 (6) (2016) 1619–1634.10.1177/1528083714567242Search in Google Scholar
[13] Y. cun Guo, S. Wang, K. Hu, D. yong Li, Optimization and experimental study of transport section lateral pressure of pipe belt conveyor, Advanced Powder Technology 27 (4) (2016) 1318–1324.10.1016/j.apt.2016.04.026Search in Google Scholar
[14] Q. Zheng, M. Xu, K. Chu, R. Pan, A. Yu, A coupled FEM/DEM model for pipe conveyor systems: Analysis of the contact forces on belt, Powder Technology 314 (2017) 480–489.10.1016/j.powtec.2016.09.070Search in Google Scholar
[15] T. Bahke, Calculation criteria and application of “rollgurt” - conveyor (tube conveyor), in: BELTCON 6: International Materials Handling Conference (IMHC), South Africa, Johannesburg, 1991.Search in Google Scholar
[16] S. Hötte, Experimentelle Untersuchungen zu den Normalkräften bei Schlauchgurten, no. ITA 03/2014, PZH Verl., TEWISS - Technik und Wissen, Garbsen, 2014.Search in Google Scholar
[17] ISO 703:2007, Conveyor Belts – Transverse Flexibility (Troughability) – Test Method, International Standard ISO, 2007.Search in Google Scholar
[18] J. G. Proakis, D. G. Manolakis, Digital signal processing: Principles, Algorithms, and Applications, third edition Edition, Prentice Hall, 1996.Search in Google Scholar
[19] K. J. G. K. Grabner, F. Kessler, Research into normal-forces between belt and idlers at critical locations on the belt conveyor track, Bulk Solids Handling 13 (4) (1993) 727–734.Search in Google Scholar
[20] M. Zamiralova, G. Lodewijks, Review of the troughability test ISO 703 for quantifying a uniform transverse bending stiffness for conveyor belts, Archives of Civil and Mechanical Engineering 17 (2017) 249–270.10.1016/j.acme.2016.10.007Search in Google Scholar
© 2021 E. Bombasaro and R. Oddera, published by De Gruyter
This work is licensed under the Creative Commons Attribution 4.0 International License.
Articles in the same Issue
- Regular Articles
- Electrochemical studies of the synergistic combination effect of thymus mastichina and illicium verum essential oil extracts on the corrosion inhibition of low carbon steel in dilute acid solution
- Adoption of Business Intelligence to Support Cost Accounting Based Financial Systems — Case Study of XYZ Company
- Techno-Economic Feasibility Analysis of a Hybrid Renewable Energy Supply Options for University Buildings in Saudi Arabia
- Optimized design of a semimetal gasket operating in flange-bolted joints
- Behavior of non-reinforced and reinforced green mortar with fibers
- Field measurement of contact forces on rollers for a large diameter pipe conveyor
- Development of Smartphone-Controlled Hand and Arm Exoskeleton for Persons with Disability
- Investigation of saturation flow rate using video camera at signalized intersections in Jordan
- The features of Ni2MnIn polycrystalline Heusler alloy thin films formation by pulsed laser deposition
- Selection of a workpiece clamping system for computer-aided subtractive manufacturing of geometrically complex medical models
- Development of Solar-Powered Water Pump with 3D Printed Impeller
- Identifying Innovative Reliable Criteria Governing the Selection of Infrastructures Construction Project Delivery Systems
- Kinetics of Carbothermal Reduction Process of Different Size Phosphate Rocks
- Plastic forming processes of transverse non-homogeneous composite metallic sheets
- Accelerated aging of WPCs Based on Polypropylene and Birch plywood Sanding Dust
- Effect of water flow and depth on fatigue crack growth rate of underwater wet welded low carbon steel SS400
- Non-invasive attempts to extinguish flames with the use of high-power acoustic extinguisher
- Filament wound composite fatigue mechanisms investigated with full field DIC strain monitoring
- Structural Timber In Compartment Fires – The Timber Charring and Heat Storage Model
- Technical and economic aspects of starting a selected power unit at low ambient temperatures
- Car braking effectiveness after adaptation for drivers with motor dysfunctions
- Adaptation to driver-assistance systems depending on experience
- A SIMULINK implementation of a vector shift relay with distributed synchronous generator for engineering classes
- Evaluation of measurement uncertainty in a static tensile test
- Errors in documenting the subsoil and their impact on the investment implementation: Case study
- Comparison between two calculation methods for designing a stand-alone PV system according to Mosul city basemap
- Reduction of transport-related air pollution. A case study based on the impact of the COVID-19 pandemic on the level of NOx emissions in the city of Krakow
- Driver intervention performance assessment as a key aspect of L3–L4 automated vehicles deployment
- A new method for solving quadratic fractional programming problem in neutrosophic environment
- Effect of fish scales on fabrication of polyester composite material reinforcements
- Impact of the operation of LNG trucks on the environment
- The effectiveness of the AEB system in the context of the safety of vulnerable road users
- Errors in controlling cars cause tragic accidents involving motorcyclists
- Deformation of designed steel plates: An optimisation of the side hull structure using the finite element approach
- Thermal-strength analysis of a cross-flow heat exchanger and its design improvement
- Effect of thermal collector configuration on the photovoltaic heat transfer performance with 3D CFD modeling
- Experimental identification of the subjective reception of external stimuli during wheelchair driving
- Failure analysis of motorcycle shock breakers
- Experimental analysis of nonlinear characteristics of absorbers with wire rope isolators
- Experimental tests of the antiresonance vibratory mill of a sectional movement trajectory
- Experimental and theoretical investigation of CVT rubber belt vibrations
- Is the cubic parabola really the best railway transition curve?
- Transport properties of the new vibratory conveyor at operations in the resonance zone
- Assessment of resistance to permanent deformations of asphalt mixes of low air void content
- COVID-19 lockdown impact on CERN seismic station ambient noise levels
- Review Articles
- FMEA method in operational reliability of forest harvesters
- Examination of preferences in the field of mobility of the city of Pila in terms of services provided by the Municipal Transport Company in Pila
- Enhancement stability and color fastness of natural dye: A review
- Special Issue: ICE-SEAM 2019 - Part II
- Lane Departure Warning Estimation Using Yaw Acceleration
- Analysis of EMG Signals during Stance and Swing Phases for Controlling Magnetorheological Brake applications
- Sensor Number Optimization Using Neural Network for Ankle Foot Orthosis Equipped with Magnetorheological Brake
- Special Issue: Recent Advances in Civil Engineering - Part II
- Comparison of STM’s reliability system on the example of selected element
- Technical analysis of the renovation works of the wooden palace floors
- Special Issue: TRANSPORT 2020
- Simulation assessment of the half-power bandwidth method in testing shock absorbers
- Predictive analysis of the impact of the time of day on road accidents in Poland
- User’s determination of a proper method for quantifying fuel consumption of a passenger car with compression ignition engine in specific operation conditions
- Analysis and assessment of defectiveness of regulations for the yellow signal at the intersection
- Streamlining possibility of transport-supply logistics when using chosen Operations Research techniques
- Permissible distance – safety system of vehicles in use
- Study of the population in terms of knowledge about the distance between vehicles in motion
- UAVs in rail damage image diagnostics supported by deep-learning networks
- Exhaust emissions of buses LNG and Diesel in RDE tests
- Measurements of urban traffic parameters before and after road reconstruction
- The use of deep recurrent neural networks to predict performance of photovoltaic system for charging electric vehicles
- Analysis of dangers in the operation of city buses at the intersections
- Psychological factors of the transfer of control in an automated vehicle
- Testing and evaluation of cold-start emissions from a gasoline engine in RDE test at two different ambient temperatures
- Age and experience in driving a vehicle and psychomotor skills in the context of automation
- Consumption of gasoline in vehicles equipped with an LPG retrofit system in real driving conditions
- Laboratory studies of the influence of the working position of the passenger vehicle air suspension on the vibration comfort of children transported in the child restraint system
- Route optimization for city cleaning vehicle
- Efficiency of electric vehicle interior heating systems at low ambient temperatures
- Model-based imputation of sound level data at thoroughfare using computational intelligence
- Research on the combustion process in the Fiat 1.3 Multijet engine fueled with rapeseed methyl esters
- Overview of the method and state of hydrogenization of road transport in the world and the resulting development prospects in Poland
- Tribological characteristics of polymer materials used for slide bearings
- Car reliability analysis based on periodic technical tests
- Special Issue: Terotechnology 2019 - Part II
- DOE Application for Analysis of Tribological Properties of the Al2O3/IF-WS2 Surface Layers
- The effect of the impurities spaces on the quality of structural steel working at variable loads
- Prediction of the parameters and the hot open die elongation forging process on an 80 MN hydraulic press
- Special Issue: AEVEC 2020
- Vocational Student's Attitude and Response Towards Experiential Learning in Mechanical Engineering
- Virtual Laboratory to Support a Practical Learning of Micro Power Generation in Indonesian Vocational High Schools
- The impacts of mediating the work environment on the mode choice in work trips
- Utilization of K-nearest neighbor algorithm for classification of white blood cells in AML M4, M5, and M7
- Car braking effectiveness after adaptation for drivers with motor dysfunctions
- Case study: Vocational student’s knowledge and awareness level toward renewable energy in Indonesia
- Contribution of collaborative skill toward construction drawing skill for developing vocational course
- Special Issue: Annual Engineering and Vocational Education Conference - Part II
- Vocational teachers’ perspective toward Technological Pedagogical Vocational Knowledge
- Special Issue: ICIMECE 2020 - Part I
- Profile of system and product certification as quality infrastructure in Indonesia
- Prediction Model of Magnetorheological (MR) Fluid Damper Hysteresis Loop using Extreme Learning Machine Algorithm
- A review on the fused deposition modeling (FDM) 3D printing: Filament processing, materials, and printing parameters
- Facile rheological route method for LiFePO4/C cathode material production
- Mosque design strategy for energy and water saving
- Epoxy resins thermosetting for mechanical engineering
- Estimating the potential of wind energy resources using Weibull parameters: A case study of the coastline region of Dar es Salaam, Tanzania
- Special Issue: CIRMARE 2020
- New trends in visual inspection of buildings and structures: Study for the use of drones
- Special Issue: ISERT 2021
- Alleviate the contending issues in network operating system courses: Psychomotor and troubleshooting skill development with Raspberry Pi
- Special Issue: Actual Trends in Logistics and Industrial Engineering - Part II
- The Physical Internet: A means towards achieving global logistics sustainability
- Special Issue: Modern Scientific Problems in Civil Engineering - Part I
- Construction work cost and duration analysis with the use of agent-based modelling and simulation
- Corrosion rate measurement for steel sheets of a fuel tank shell being in service
- The influence of external environment on workers on scaffolding illustrated by UTCI
- Allocation of risk factors for geodetic tasks in construction schedules
- Pedestrian fatality risk as a function of tram impact speed
- Technological and organizational problems in the construction of the radiation shielding concrete and suggestions to solve: A case study
- Finite element analysis of train speed effect on dynamic response of steel bridge
- New approach to analysis of railway track dynamics – Rail head vibrations
- Special Issue: Trends in Logistics and Production for the 21st Century - Part I
- Design of production lines and logistic flows in production
- The planning process of transport tasks for autonomous vans
- Modeling of the two shuttle box system within the internal logistics system using simulation software
- Implementation of the logistics train in the intralogistics system: A case study
- Assessment of investment in electric buses: A case study of a public transport company
- Assessment of a robot base production using CAM programming for the FANUC control system
- Proposal for the flow of material and adjustments to the storage system of an external service provider
- The use of numerical analysis of the injection process to select the material for the injection molding
- Economic aspect of combined transport
- Solution of a production process with the application of simulation: A case study
- Speedometer reliability in regard to road traffic sustainability
- Design and construction of a scanning stand for the PU mini-acoustic sensor
- Utilization of intelligent vehicle units for train set dispatching
- Special Issue: ICRTEEC - 2021 - Part I
- LVRT enhancement of DFIG-driven wind system using feed-forward neuro-sliding mode control
- Special Issue: Automation in Finland 2021 - Part I
- Prediction of future paths of mobile objects using path library
- Model predictive control for a multiple injection combustion model
- Model-based on-board post-injection control development for marine diesel engine
- Intelligent temporal analysis of coronavirus statistical data
Articles in the same Issue
- Regular Articles
- Electrochemical studies of the synergistic combination effect of thymus mastichina and illicium verum essential oil extracts on the corrosion inhibition of low carbon steel in dilute acid solution
- Adoption of Business Intelligence to Support Cost Accounting Based Financial Systems — Case Study of XYZ Company
- Techno-Economic Feasibility Analysis of a Hybrid Renewable Energy Supply Options for University Buildings in Saudi Arabia
- Optimized design of a semimetal gasket operating in flange-bolted joints
- Behavior of non-reinforced and reinforced green mortar with fibers
- Field measurement of contact forces on rollers for a large diameter pipe conveyor
- Development of Smartphone-Controlled Hand and Arm Exoskeleton for Persons with Disability
- Investigation of saturation flow rate using video camera at signalized intersections in Jordan
- The features of Ni2MnIn polycrystalline Heusler alloy thin films formation by pulsed laser deposition
- Selection of a workpiece clamping system for computer-aided subtractive manufacturing of geometrically complex medical models
- Development of Solar-Powered Water Pump with 3D Printed Impeller
- Identifying Innovative Reliable Criteria Governing the Selection of Infrastructures Construction Project Delivery Systems
- Kinetics of Carbothermal Reduction Process of Different Size Phosphate Rocks
- Plastic forming processes of transverse non-homogeneous composite metallic sheets
- Accelerated aging of WPCs Based on Polypropylene and Birch plywood Sanding Dust
- Effect of water flow and depth on fatigue crack growth rate of underwater wet welded low carbon steel SS400
- Non-invasive attempts to extinguish flames with the use of high-power acoustic extinguisher
- Filament wound composite fatigue mechanisms investigated with full field DIC strain monitoring
- Structural Timber In Compartment Fires – The Timber Charring and Heat Storage Model
- Technical and economic aspects of starting a selected power unit at low ambient temperatures
- Car braking effectiveness after adaptation for drivers with motor dysfunctions
- Adaptation to driver-assistance systems depending on experience
- A SIMULINK implementation of a vector shift relay with distributed synchronous generator for engineering classes
- Evaluation of measurement uncertainty in a static tensile test
- Errors in documenting the subsoil and their impact on the investment implementation: Case study
- Comparison between two calculation methods for designing a stand-alone PV system according to Mosul city basemap
- Reduction of transport-related air pollution. A case study based on the impact of the COVID-19 pandemic on the level of NOx emissions in the city of Krakow
- Driver intervention performance assessment as a key aspect of L3–L4 automated vehicles deployment
- A new method for solving quadratic fractional programming problem in neutrosophic environment
- Effect of fish scales on fabrication of polyester composite material reinforcements
- Impact of the operation of LNG trucks on the environment
- The effectiveness of the AEB system in the context of the safety of vulnerable road users
- Errors in controlling cars cause tragic accidents involving motorcyclists
- Deformation of designed steel plates: An optimisation of the side hull structure using the finite element approach
- Thermal-strength analysis of a cross-flow heat exchanger and its design improvement
- Effect of thermal collector configuration on the photovoltaic heat transfer performance with 3D CFD modeling
- Experimental identification of the subjective reception of external stimuli during wheelchair driving
- Failure analysis of motorcycle shock breakers
- Experimental analysis of nonlinear characteristics of absorbers with wire rope isolators
- Experimental tests of the antiresonance vibratory mill of a sectional movement trajectory
- Experimental and theoretical investigation of CVT rubber belt vibrations
- Is the cubic parabola really the best railway transition curve?
- Transport properties of the new vibratory conveyor at operations in the resonance zone
- Assessment of resistance to permanent deformations of asphalt mixes of low air void content
- COVID-19 lockdown impact on CERN seismic station ambient noise levels
- Review Articles
- FMEA method in operational reliability of forest harvesters
- Examination of preferences in the field of mobility of the city of Pila in terms of services provided by the Municipal Transport Company in Pila
- Enhancement stability and color fastness of natural dye: A review
- Special Issue: ICE-SEAM 2019 - Part II
- Lane Departure Warning Estimation Using Yaw Acceleration
- Analysis of EMG Signals during Stance and Swing Phases for Controlling Magnetorheological Brake applications
- Sensor Number Optimization Using Neural Network for Ankle Foot Orthosis Equipped with Magnetorheological Brake
- Special Issue: Recent Advances in Civil Engineering - Part II
- Comparison of STM’s reliability system on the example of selected element
- Technical analysis of the renovation works of the wooden palace floors
- Special Issue: TRANSPORT 2020
- Simulation assessment of the half-power bandwidth method in testing shock absorbers
- Predictive analysis of the impact of the time of day on road accidents in Poland
- User’s determination of a proper method for quantifying fuel consumption of a passenger car with compression ignition engine in specific operation conditions
- Analysis and assessment of defectiveness of regulations for the yellow signal at the intersection
- Streamlining possibility of transport-supply logistics when using chosen Operations Research techniques
- Permissible distance – safety system of vehicles in use
- Study of the population in terms of knowledge about the distance between vehicles in motion
- UAVs in rail damage image diagnostics supported by deep-learning networks
- Exhaust emissions of buses LNG and Diesel in RDE tests
- Measurements of urban traffic parameters before and after road reconstruction
- The use of deep recurrent neural networks to predict performance of photovoltaic system for charging electric vehicles
- Analysis of dangers in the operation of city buses at the intersections
- Psychological factors of the transfer of control in an automated vehicle
- Testing and evaluation of cold-start emissions from a gasoline engine in RDE test at two different ambient temperatures
- Age and experience in driving a vehicle and psychomotor skills in the context of automation
- Consumption of gasoline in vehicles equipped with an LPG retrofit system in real driving conditions
- Laboratory studies of the influence of the working position of the passenger vehicle air suspension on the vibration comfort of children transported in the child restraint system
- Route optimization for city cleaning vehicle
- Efficiency of electric vehicle interior heating systems at low ambient temperatures
- Model-based imputation of sound level data at thoroughfare using computational intelligence
- Research on the combustion process in the Fiat 1.3 Multijet engine fueled with rapeseed methyl esters
- Overview of the method and state of hydrogenization of road transport in the world and the resulting development prospects in Poland
- Tribological characteristics of polymer materials used for slide bearings
- Car reliability analysis based on periodic technical tests
- Special Issue: Terotechnology 2019 - Part II
- DOE Application for Analysis of Tribological Properties of the Al2O3/IF-WS2 Surface Layers
- The effect of the impurities spaces on the quality of structural steel working at variable loads
- Prediction of the parameters and the hot open die elongation forging process on an 80 MN hydraulic press
- Special Issue: AEVEC 2020
- Vocational Student's Attitude and Response Towards Experiential Learning in Mechanical Engineering
- Virtual Laboratory to Support a Practical Learning of Micro Power Generation in Indonesian Vocational High Schools
- The impacts of mediating the work environment on the mode choice in work trips
- Utilization of K-nearest neighbor algorithm for classification of white blood cells in AML M4, M5, and M7
- Car braking effectiveness after adaptation for drivers with motor dysfunctions
- Case study: Vocational student’s knowledge and awareness level toward renewable energy in Indonesia
- Contribution of collaborative skill toward construction drawing skill for developing vocational course
- Special Issue: Annual Engineering and Vocational Education Conference - Part II
- Vocational teachers’ perspective toward Technological Pedagogical Vocational Knowledge
- Special Issue: ICIMECE 2020 - Part I
- Profile of system and product certification as quality infrastructure in Indonesia
- Prediction Model of Magnetorheological (MR) Fluid Damper Hysteresis Loop using Extreme Learning Machine Algorithm
- A review on the fused deposition modeling (FDM) 3D printing: Filament processing, materials, and printing parameters
- Facile rheological route method for LiFePO4/C cathode material production
- Mosque design strategy for energy and water saving
- Epoxy resins thermosetting for mechanical engineering
- Estimating the potential of wind energy resources using Weibull parameters: A case study of the coastline region of Dar es Salaam, Tanzania
- Special Issue: CIRMARE 2020
- New trends in visual inspection of buildings and structures: Study for the use of drones
- Special Issue: ISERT 2021
- Alleviate the contending issues in network operating system courses: Psychomotor and troubleshooting skill development with Raspberry Pi
- Special Issue: Actual Trends in Logistics and Industrial Engineering - Part II
- The Physical Internet: A means towards achieving global logistics sustainability
- Special Issue: Modern Scientific Problems in Civil Engineering - Part I
- Construction work cost and duration analysis with the use of agent-based modelling and simulation
- Corrosion rate measurement for steel sheets of a fuel tank shell being in service
- The influence of external environment on workers on scaffolding illustrated by UTCI
- Allocation of risk factors for geodetic tasks in construction schedules
- Pedestrian fatality risk as a function of tram impact speed
- Technological and organizational problems in the construction of the radiation shielding concrete and suggestions to solve: A case study
- Finite element analysis of train speed effect on dynamic response of steel bridge
- New approach to analysis of railway track dynamics – Rail head vibrations
- Special Issue: Trends in Logistics and Production for the 21st Century - Part I
- Design of production lines and logistic flows in production
- The planning process of transport tasks for autonomous vans
- Modeling of the two shuttle box system within the internal logistics system using simulation software
- Implementation of the logistics train in the intralogistics system: A case study
- Assessment of investment in electric buses: A case study of a public transport company
- Assessment of a robot base production using CAM programming for the FANUC control system
- Proposal for the flow of material and adjustments to the storage system of an external service provider
- The use of numerical analysis of the injection process to select the material for the injection molding
- Economic aspect of combined transport
- Solution of a production process with the application of simulation: A case study
- Speedometer reliability in regard to road traffic sustainability
- Design and construction of a scanning stand for the PU mini-acoustic sensor
- Utilization of intelligent vehicle units for train set dispatching
- Special Issue: ICRTEEC - 2021 - Part I
- LVRT enhancement of DFIG-driven wind system using feed-forward neuro-sliding mode control
- Special Issue: Automation in Finland 2021 - Part I
- Prediction of future paths of mobile objects using path library
- Model predictive control for a multiple injection combustion model
- Model-based on-board post-injection control development for marine diesel engine
- Intelligent temporal analysis of coronavirus statistical data