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Field measurement of contact forces on rollers for a large diameter pipe conveyor

  • E. Bombasaro EMAIL logo and R. Oddera
Published/Copyright: December 12, 2020
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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.

Figure 1 Pipe system in sectional and plan view, including technical characteristics.
Figure 1

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.

Figure 2 Six-point stiffness test device with sample installed in carrying strain configuration.
Figure 2

Six-point stiffness test device with sample installed in carrying strain configuration.

Table 1

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.

Figure 3 Special idler constructed for measuring force excreted onto the roller.
Figure 3

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.

Figure 4 Left, right and summed force acting on roller 01 on panel 145. The boundary indicates start and end of measurement.
Figure 4

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.

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

(1) μ f = 1 N i = 1 N f ( i )

and the standard deviation σf as

(2) σ f = 1 N 1 i = 1 N f ( i ) μ f 2 .

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

(3) c x y ( l ) = n = i N | k | l x ( n ) μ x y ( n l ) μ y
(4) c x x ( l ) = n = i N | k | l x ( n ) μ x x ( n l ) μ x

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

(5) c ¯ x y ( l ) = c x y ( l ) c x x ( 0 ) c y y ( 0 )

and the autocorrelation can be normalised following

(6) c ¯ x x ( l ) = c x x ( l ) c x x ( 0 ) .

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.

Figure 5 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.
Figure 5

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 xy = 0.645.

Figure 6 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.
Figure 6

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.

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.
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 F ~ ( t ) t m p is defined as

(7) F ~ ( t ) t m p = F ( t ) t m p m F ( t ) t m p = F c o n s t .  if  0 t < t 0 ε  if  t 0 t

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.

Figure 8 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.
Figure 8

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.

Figure 9 Probability density of the force on the rollers on panel 145 carrying strain.
Figure 9

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

Figure 10 Probability density of the force on the rollers on panel 711 carrying strain.
Figure 10

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).

Figure 11 Definition of the deviation angle δ between the roller centre and the theoretical contact point.
Figure 11

Definition of the deviation angle δ between the roller centre and the theoretical contact point.

(8) sin δ = Δ L R 1 2 F r i g h t F l e f t + F r i g h t ,

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.

Figure 12 Plot showing forces Ftot on panel 145 carrying strain rollers, together with the mean force μFtot and mean angle μδ are shown.
Figure 12

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

Figure 13 Plot showing forces Ftot on panel 145 carrying return rollers, together with the mean force μFtot and mean angle μδ are shown.
Figure 13

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

Figure 14 Plot showing forces Ftot on panel 711 carrying strain rollers, together with the mean force μFtot and mean angle μδ are shown.
Figure 14

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

Figure 15 Plot showing forces Ftot on panel 711 return strain rollers, together with the mean force μFtot and mean angle μδ are shown.
Figure 15

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.

Figure 16 Probability density of deviation angle δ on panel 711 return strain rollers.
Figure 16

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).

Figure 17 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.
Figure 17

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

(9) F t o t , n = L t o t , n W m a t φ n ,

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).

(10) W m a t = Q ( i ) v l

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

(11) φ n = μ L t o t , n μ F t o t , n μ W m a t ,

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 LtotWmat 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.

Figure 18 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.
Figure 18

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.

Figure 19 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.
Figure 19

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).

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Received: 2020-09-09
Accepted: 2020-11-04
Published Online: 2020-12-12

© 2021 E. Bombasaro and R. Oddera, published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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