Home Technology Detection of early stage of ductile and fatigue damage presented in Inconel 718 alloy using instrumented indentation technique
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Detection of early stage of ductile and fatigue damage presented in Inconel 718 alloy using instrumented indentation technique

  • Maciej Malicki EMAIL logo , Grzegorz Socha and Józef Krysztofik
Published/Copyright: December 23, 2022
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Abstract

Structural materials under various mechanical loads are damaged as a result of their plastic deformation and subsequent nucleation and propagation of cracks. Detection of damage in its initial phase is crucial to ensure safety and durability of construction elements. In this work, we proposed contact stiffness ( S ) determined using the instrumented indentation technique as the damage indicator. New procedure for deformation-induced damage investigation is proposed and the indentation tests were performed in the specially designed specimens made from Inconel 718 alloy, which was previously subjected to mechanical loads. Damage parameter ( D ε ) determined on the basis of Johnson–Cook damage model was used as a reference measure of damage degree. Fracture analysis was carried out to investigate the early stage of damage development in the tested specimens. The value of contact stiffness determined from the instrumented indentation shows linear correlation with the value of damage parameter. This innovative approach was used in the presented investigation.

1 Introduction

There are a lot of damage mechanisms related to the conditions in which the material is working [1]. In many cases, damage mechanism caused by the mechanical load is related to the plastic deformation of the material. In early development stage, damage takes place at microscopic level and is related to growth of the structure defects in material crystal lattice during plastic deformation. This is manifested at macroscopic level of observation by increase in the hysteresis loop [2,3]. It is commonly accepted that interactions between these structures and the other elements of material structure like grain and phase boundaries correspond to incubation micro cracks and micro voids. Growth and coalescence of this micro discontinuities lead to the formation of dominant crack and final rupture. Incubation of micro discontinuities can take main part of the damage development. That state of affair is especially evident in the case of construction element made from metal alloys which are under cyclic loads. In such cases, the incubation of damage can be responsible for 90% of failure live in the construction element [4,5,6]. That is why the possibility to detect damage in its early stage is important to ensure the safety and reliability of the constructions. There are many methods to measure the damage introduced into the material. In general such methods rely on measurements of changes in some physical quantity [7,8,9,10]. This physical quantity is sometimes called damage indicator. Damage indicators can be divided into categories [7] such as metallurgical, mechanical, physical and parameters related to surface crack quantifications. Most of the mechanical indicators like, for example, strain energy or elastic moduli can be determined only by making specimens from inspected object and laboratory tests. This is serious a disadvantage of such indicators since they cannot be measured for engineering structure under service conditions. On the other hand, such indicators can be the best way to determine progress of damage due to their direct relation with the material ability to carry load. One of the methods which can be used to measure mechanical properties of material without significantly affecting the element made of this material is the hardness measurements. Use of hardness measurements to determine the material damage has been previously proposed in other publications [8]. In this work indentation tests were used to quantify the damage of Inconel 718 introduced by monotonic and cyclic plastic deformations.

Hardness measurements are performed in small material area which allows one to investigate local changes in the material properties. Since damage process is often limited to a certain volume (especially fatigue damage process), it can be regarded as an additional advantage. In the presented investigation, contact stiffness was used as the damage indicator ( S ). The reason why we use contact stiffness is the fact that it is related to the indentation modulus E IT [11], which is also a function of Young modulus [12].

(1) E IT = ( 1 ν s 2 ) 2 β A S π 1 ν i 2 E i 1 .

Furthermore, Young’s modulus is one of the basic mechanical parameters influenced by the material discontinuities [10]. So, E IT should also be influenced by damage progress. Assuming that the Poisson ratio ν i and elasticity modulus E i of the indenter material and parameter β related to the shape of the indenter are constant during the measurements, relation between E IT and measured contact stiffness S can be reduced to the formula,

(2) E IT ( 1 ν s 2 ) 1 . 1284 A S ,

where ν s is the Poisson ratio of the tested material, and A is the projected contact area between the indentation and tested material.

2 Materials and methods

2.1 Materials

The material under investigation is Inconel 718. The chemical composition of this alloy is presented in Table 1. This high-strength and heat-resistant nickel-based alloy is commonly used for components working in the hot sections of rocket and jet engine. One of the reasons of high strength of this alloy is the ability to undergo age hardening process. During this process, fine and hard precipitations of intermetallic γ '' and less significantly γ ' phases are formed in the alloy matrix. The structure of the material is typical for annealing process and consists of equiaxed grains with metal carbides (MCs) type primary carbides evenly spaced in the matrix. Recrystallization twins can be seen in Figure 1. The material is not age hardened. It means that the contents of γ '' and γ ' are low which makes the material more ductile.

Table 1

Chemical composition of the tested material

C Mn P S Si Cr Ni Al
0.05 0.01 0.008 0.0002 0.10 17.98 52.30 0.60
Mo Cu Nb Ta Ti Co B Fe
2.88 0.02 4.97 0.01 1.02 0,04 0.002 19.96
Figure 1 
                  Image of the alloy used in the test. Before (a) and after (b) etching.
Figure 1

Image of the alloy used in the test. Before (a) and after (b) etching.

2.2 Experimental procedure and design of specimen

For quantifying damage and validating S as a damage indicator, the damage parameter D ε proposed by Johson–Cook was selected as the reference quantity. D ε is defined by the formula [13] given by

(3) D ε = ε ε f ,

where Δ ε denotes the increments of the plastic strain intensity during deformation process and ε f denotes the final value of the accumulated plastic strain intensity corresponding to the failure of the material. This simple definition can be extended to be used in the case of arbitrary deformation along the non-proportional path under complex stress by replacement of the sum of plastic strain intensity increments with the so-called Odqvist’s parameter ε ̅ p [14]. In this case, damage indicator is defined as the integral,

(4) Δ ε = ε ̅ p = d ε i p ,

where d ε i p is the infinitesimal increment of plastic strain intensity. Validation of the proposed damage indicators was performed according to the procedure described in the paper [15]. The idea behind this procedure was to produce in single test plastic strain intensity field varying from zero (undamaged state) to that corresponding to the failure, equation (3), in the gage part of the specimen shown in Figure 2. Plastic strain in the gage part cross-sections vary with respect to this cross-section areas and is determined by measuring the geometry of the selected cross-section before and after test, assuming incompressibility of the material. Plastic strain intensity in the vicinity of the fractured section is regarded as the failure strain ε f . Damage parameter as proposed by Johnson–Cook and modified in the paper [16] changes with the progressing accumulation of plastic strain intensity. In the general case of arbitrary loading path in the stress space, it can be used for any mechanism of damage as suggested in the paper [16]. Ratchetting is responsible for damage progress for the applied load scheme, in the case of low cycle fatigue (LCF) and high cycle fatigue (HCF) tests and monotonic deformation in the case of static tension. To verify the usefulness of indentation tests for damage assessment, three specimens as shown in Figure 2 were prepared. If such a specimen is subjected to uniaxial load, non-zero strain tensor components can be identified as principal strains. In terms of principal strain increments, d ε 1 p , d ε 2 p and d ε 3 p strain intensity increment d ε i p (see equation (3)) can be expressed by the following formula [17,18,19]:

(5) d ε i p = 2 9 [ ( d ε 1 p d ε 2 p ) 2 + ( d ε 2 p d ε 3 p ) 2 + ( d ε 3 p d ε 1 p ) 2 ] .

Figure 2 
                  Specimen with varying cross-sections of the gage part used for the investigation.
Figure 2

Specimen with varying cross-sections of the gage part used for the investigation.

In the case of uniaxial loading along the proportional strain path (simple tension or ratchetting), applying the principle of incompressibility of the material during strain increment

(6) d ε 1 p = ( d ε 2 p + d ε 3 p ) ,

and for further simplifying the state of strain assuming that

(7) d ε 2 p = d ε 3 p = 1 2 d ε 1 p .

The equations (5) and (4) can be reduced, respectively, to simple formulas as follows:

(8) d ε i p = d ε 1 p ,

(9) ε = ε ̅ p = d ε 1 p = ε 1 p ,

where ε 1 p is a plastic strain in a direction parallel to the direction of main load applied during the mechanical tests. Reference damage parameter ( D ε ) can be now defined as the ratio of plastic strain intensity at a given spot of the material to the value of plastic strain intensity corresponding to the failure of the material using the formula given by

(10) D ε = ε 1 p ε 1 p f .

The value of D ε can be easily calculated on the basis of the measurements of initial and deformed geometry of the specimens gage part cross-sections marked as shown in Figure 2. One of prepared specimens has been subjected to static tensile test at the room temperature (Figure 3a). Testing machine cross-head displacement rate was initially 0.1 mm/min and after reaching strain equal to 0.015 mm/mm, it was increased to 1.2 mm/min and kept constant during the rest of the test till the rupture of the specimen. Damage parameter was calculated using equation (10) for the gage part sections marked in Figure 2. Another two specimens were subjected to oscillating loads (Figure 3b) to introduce the material fatigue damage.

Figure 3 
                  Load scheme for mechanical test performed on speciemns used for the investigation. Tensile test (a) and fatigue test (b).
Figure 3

Load scheme for mechanical test performed on speciemns used for the investigation. Tensile test (a) and fatigue test (b).

The first specimen was loaded with a maximum stress of 600 MPa at the smallest cross-section of the gage part and cycle asymmetry ratio R = 0.05 (frequency 20 Hz, room temperature) to attain failure at Nf = 125,742 cycles. This corresponds to HCF regime. Second specimen was loaded with a maximum stress of 700 MPa (frequency 20 Hz, room temperature, asymmetry ratio R = 0.05) to rupture at Nf = 60,851 cycles, which corresponds to LCF conditions. For those two specimens, applied stress amplitude for the i-th section of the gage part was lower than that for the smallest cross-section according to the formula (Figure 4) given by

(11) σ i max = b min b i σ max ,

where b i is the width of the i-th specimen cross-section. Damage in this section corresponds to that introduced by N cycles applied with this amplitude. As mentioned, ratchetting is the main mechanism behind the progress of damage in the case of applied LCF and HCF loading program.

Figure 4 
                  Stress distribution in specimen gage part.
Figure 4

Stress distribution in specimen gage part.

2.3 Equipment used for indentation tests

Indentation tests were performed on a test set-up specially designed and produced for this purpose. This test set-up is shown in Figure 5.

Figure 5 
                  Device for instrumented indentation test.
Figure 5

Device for instrumented indentation test.

The device is equipped with 2 kN force sensor with a sensitivity of 2.02 mV/V and summary error of measured force ≤0.2% and incremental displacement gauge with 0.03 μm, typically short-range displacement measurement accuracy. Data from force sensor and displacement gauge were acquired by LabVIEW software using acquisition card with a frequency of 100 Hz and resolution of 0.1 N for force sensor and 0.05 μm for displacement gauge. Tungsten carbide ball with 2.5 mm diameter was used as an intender. The intender was moved by a servo motor. To achieve high positioning accuracy, this move was carried out via a leverage system and ball screw with a diameter of 25 mm and thread pitch of 2 mm. During the indentation tests, displacement ( D ) of the indenter and acting force ( F ) were recorded continuously. Test force was limited to 1,600 N. Typical recorded force–displacement plot is shown in Figure 6. Contact stiffness is the slope of the line tangential to the test force removal curve evaluated at maximum test force ( F max ) [20].

(12) S = ( d F d D ) F max = tg ( λ ) .

Figure 6 
                  Force–displacement plot from indentation test.
Figure 6

Force–displacement plot from indentation test.

Ball size and maximum indentation force have been selected in such a way that the diameter of indentation was greater than at least 100 grains (Figure 7).

Figure 7 
                  Estimated indentation size with respect to the elements of material structure.
Figure 7

Estimated indentation size with respect to the elements of material structure.

3 Results and discussion

3.1 Damage distribution

For all three kinds of tests (static tension, LCF and HCF) measurement of the width and thickness at marked sections were performed to calculate the plastic strain intensity at the corresponding sections. Using equation (10), the value of damage parameter was calculated and plotted as the function of distance from the ruptured surface (data points correspond to marked sections). Results of the calculations are shown in Figure 8 for all the performed mechanical tests. As it can be seen, value of the damage parameter is the highest for the specimen ruptured under static tension for all the sections of the gage part except fracture surface (where it must be equal to 1 by definition). Also, elongation of the specimen gage part is the highest. The reason for this is the fact that fatigue damage decreases the ability of the alloy to achieve plastic deformation preceding the final rupture of the material. This phenomenon can be attributed to the discontinuities appearing in the material in the form of micro cracks. Their creation and growth limits ratchetting which itself is the result of dislocations formation and their movement in the relatively high material volume (with respect to the size of micro cracks). Such micro-discontinuities grow with the applied load cycles and finally achieve the size enabling triggering of the uncontrolled crack extension leading to final quasi-static rupture of the specimen.

Figure 8 
                  Distribution of the damage parameter in the gage part of the specimens after tests.
Figure 8

Distribution of the damage parameter in the gage part of the specimens after tests.

3.2 Fracture analysis

Surface of the specimen’s gage part was examined after tests for all three kinds of the applied load program using SEM. Results of the examinations are shown in Figures 9–11. All the images are annotated by the value of the damage parameter calculated according to the procedure described above. As it can be seen, damage of the material at the specimen’s gage part surface is run by deformation of the plastic matrix and creation of physical discontinuities at the interface between the matrix and hard inclusions (niobium carbide) due to strain incompatibility. For the fatigue tests, this phenomenon is followed by crack growth (Figures 10 and 11). For all the cases of load, one can see that the progressing damage results in deformation of the material. This deformation is clearly visible, especially in the case of static tension. In the case of fatigue loading, deformation of the surface of gage part can be seen near the neck. For the rest of the gage part, this deformation is hardly visible. This effect can be attributed to the fact that load level comparing to static tension test is much lower and only very localized yielding can be observed.

Figure 9 
                  Surface of the gage part – static tension.
Figure 9

Surface of the gage part – static tension.

Figure 10 
                  Surface of the gage part – LCF.
Figure 10

Surface of the gage part – LCF.

Figure 11 
                  Surface of the gage part – HCF.
Figure 11

Surface of the gage part – HCF.

For the specimen after fatigue test, the fracture surface analysis was performed to define what value of parameter D ε and contact stiffness S correspond to early stage of fatigue damage. Fracture surfaces are located in the smallest cross-section of specimens. Origin area, fatigue fracture area and final rupture area are visible on the fracture surface of the specimens (Figures 12 and 13). Each of these areas have a different topography. Topography of the origins have crystallographic character which is typical for early stage of fatigue damage development. Origin of the fracture in both the specimens is located in the specimens’ surfaces and are about ≥100 μm in width. There is a MC type carbide right in the center of origin of fracture after HCF test (Figure 13b).

Figure 12 
                  Fracture surface (a), origin area (b) and fatigue zone (c) of the specimen after LCF test.
Figure 12

Fracture surface (a), origin area (b) and fatigue zone (c) of the specimen after LCF test.

Figure 13 
                  Fracture surface (a), origin area (b) and fatigue zone (c) of the specimen after HCF test.
Figure 13

Fracture surface (a), origin area (b) and fatigue zone (c) of the specimen after HCF test.

In the fatigue area, there are visible fatigue striations which have varying size with respect to the distance from origin. Fatigue areas correspond to the stable fatigue crack propagation. Topography with dimples present in final rupture areas is typical for ductile fracture. These areas correspond to nonstable sudden crack propagation. Thickness of the striations was measured in different fatigue area for each of the two specimens. The chart presented in Figure 14 is based on these measurements. Curves in this chart represent the approximated crack growth rate function. This function is denoted in Figure 14 as f ( L lcf ) and f ( L hcf ) , and its values are simply the thickness of the striations. Using this function and recursive formula (13) (Figure 15) it is possible to estimate the number of load cycles N nuc lcf and N nuc hcf corresponding to the nucleation of fatigue crack. These estimations showed that approximately 74% (45,000 cycles) of fatigue life for LCF test and approximately 87% (109,000 cycles) of fatigue life for HCF test correspond to the crack incubations phase. For specimen after LCF test, there are cross-sections where the stress level is the same or smaller than in the damage cross-sections of the specimen after HCF. Combining above assumption with the fact that the specimen after LCF test breaks after 60,851 cycles (which is much lesser than the number of cycles needed for incubation of fatigue crack in specimens after HCF test), a conclusion can be drawn.

Figure 14 
                  Chart representing the fatigue crack growth rate for specimens after LCF and HCF tests.
Figure 14

Chart representing the fatigue crack growth rate for specimens after LCF and HCF tests.

Figure 15 
                  Diagram of notation used in the recursive formula (10).
Figure 15

Diagram of notation used in the recursive formula (10).

The conclusion is that in some cross-sections of the specimen, after LCF test, conditions for fatigue damage incubation are satisfied. This cross-section corresponds to the value of damage parameter D ε ≤0.24 (Figure 10). For values of damage parameter D ε ranging from 0.22 to 0.27, there are visible cracks propagating from MC type carbides. Similar source of crack is also visible in areas where D ε values are higher and damage development is more advance. This indicates that the main mechanism of fatigue damage for LCF and HCF tests is crack propagation and delamination of MC type carbides accompanying ratchetting.

L 1 = L 0 f ( L 0 ) ,

L n + 1 = L n f ( L n ) ,

If

(13) L n + 1 < 100 μ m , then N nuc lcf , N nuc hcf = N f n ,

where f ( L 0 ) , f ( L 1 ) , f ( L n ) and f ( L n + 1 ) , are the values of functions f ( L lcf ) and f ( hcf ) calculated for crack length L 0 , L 1 , L n , L n + 1 , respectively, and N f is the number of cycles to attain failure.

3.3 Contact stiffness

Based on the indentation measurement performed on the tested specimens, contact stiffness ( S ) determined from equation (12) decreases with the increase in the damage parameter (Figure 16). Such a tendency is also maintained for the early stage of damage developed in specimen after LCF test, which was defined before with respect to the values of damage parameter ( D ε 0.24 , green area in Figure 16). However, contact stiffness determined from equation (12) does not refer only to the properties of the specimen material but also to the frame stiffness and in general case is a total stiffness ( S tot ). Total stiffness can be described as inversion of the sum of the frame compliance ( C fr ) and the inverse of stiffness related to specimen ( S spec ) [21] (formula (13) and Figure 17).

(14) S tot = C fr + 1 S spec 1 = C const + C indent + 1 S spec 1 .

Figure 16 
                  Results of contact stiffness measured for specimens after tensile test and fatigue test in areas with different values of damage parameter 
                        
                           
                           
                              
                                 
                                    D
                                 
                                 
                                    ε
                                 
                              
                           
                           {D}_{\varepsilon }
                        
                     .
Figure 16

Results of contact stiffness measured for specimens after tensile test and fatigue test in areas with different values of damage parameter D ε .

Figure 17 
                  Illustration of machine frame contact stiffness components.
Figure 17

Illustration of machine frame contact stiffness components.

Moreover, frame compliance can be taken as a sum of constant compliance component ( C const ) of machine frame and indentation compliance ( C indent ) which vary depending on the depth of the indentation. The main task in our investigations is to find the changes in contact stiffness related to the material damage and so we can disregard the value of S spec . That is why the C const component of the frame compliance can be neglected assuming that it is the same for all indentation measurements. Using this assumption and formula (13), the relative specimens stiffness S spec ' can be introduce and simply described by equation:

(15) S spec ' = 1 S tot C indent 1 .

Based on the investigations presented in paper [21], the C indent can be expressed by the equation as follows:

(16) C indent = 1 E π 2 R ln l ( 2 R l ) 2 R h c 1 ,

where E is the modulus of elasticity of indenter material, R is the radius of the intender, l is the total height of the indentation, h c is the indentation depth. Using equations (15) and (16), the stiffness related with the specimen can be expressed by the formula as follows:

(17) S spec ' = 1 S tot 1 E π 2 R ln l ( 2 R l ) 2 R h c 1 1 .

According to this equation, the highest impact of C indent on changes in the total contact stiffness is for indentations with relatively small depth where greater part of the indenter is not involved in their creation (Figure 18). Indentations made in the tested specimens have depth in the range from 0.060 to 0.094 mm. That means changes in C indent are in the range from 9.09 × 10−7 to 7.94 × 10−7 mm/N (Figure 18).

Figure 18 
                  Estimated changes (using equation (16)) in compliance 
                        
                           
                           
                              
                                 
                                    C
                                 
                                 
                                    indent
                                 
                              
                           
                           {C}_{{indent}}
                        
                      with respect to the indentation depth for ball indenter with 2.5 mm diameter made from tungsten carbides.
Figure 18

Estimated changes (using equation (16)) in compliance C indent with respect to the indentation depth for ball indenter with 2.5 mm diameter made from tungsten carbides.

The impact of C indent on the contact stiffness of S spec ' is manifested by the increase in its values with respect to the values of S tot (Figure 19). The impact of contact stiffness changing tendency with respect to the damage parameter is insignificant. In the measuring machine displacement measurement system was based on a surface of measuring table. This means that on the value of specimen stiffness will have impact not only the volume related with indentation but also volume of the material behind indentation area.

Figure 19 
                  Results of contact stiffness measured for specimens after tensile test and fatigue test in areas with different values of damage parameter 
                        
                           
                           
                              
                                 
                                    D
                                 
                                 
                                    ε
                                 
                              
                           
                           {D}_{\varepsilon }
                        
                     . As shown in Figure 16, green area correspond to early stage of damage developed in specimen after LCF test.
Figure 19

Results of contact stiffness measured for specimens after tensile test and fatigue test in areas with different values of damage parameter D ε . As shown in Figure 16, green area correspond to early stage of damage developed in specimen after LCF test.

This is another source of measuring bias due to variation in specimen thickness inducted by plastic deformation which are results of earlier performed tensile and fatigue tests. This bias can be estimated and reduced using the finite element analysis and selection of the base for displacement measurement. To estimate the specimen thickness effect on the determined contact stiffness, the modification of displacement measured system was made. After this modification, the base of the displacement measurement was upper specimen surface. It was found that contact stiffness S tot measured on modified set-up for undamaged tested material is ≈20% higher than in the previous one (Figure 20). It means that reduction in specimen thickness caused by specimen deformation during mechanical tests has the influence on changes in S spec ' depending on the damage parameter presented in Figure 19.

Figure 20 
                  Force–displacement plot from indentation test before and after modification of displacement measuring system.
Figure 20

Force–displacement plot from indentation test before and after modification of displacement measuring system.

4 Conclusion

Damage introduced into the tested material by conducted mechanical tests results in changes in the selected damage indicator. Damage of the material was quantified by reference damage parameter proposed by Johnson–Cook. Analysis of investigation results leads to the following conclusions:

  1. Damage process in the case of static tension of Inconel 718 is run by increased density of dislocations, their movement and nucleation and growth of micro-discontinuities at the interface between the ductile matrix and hard inclusions (niobium carbide). Occurrence of all these phenomena was found at an early and late stage of damage development.

  2. Damage process in the case of cyclically loaded Inconel 718 is run by nucleation and growth of micro cracks which is accompanied by the ratchetting phenomenon.

  3. It has been found that the measured contact stiffness decreases during the increase in damage parameter D ε . The tendency of these changes is the same for early and later stage of damage development.

  4. Using displacement measurement system based on the specimen upper surface is a possible way for the development of the proposed technique for measured contact stiffness

  5. In the future work, it is possible to simulate the force–displacement curves obtained from instrumented indentation by using a phenomenological approach using models that can be found in the literature [22]. It is also possible to evaluate elastoplastic properties of the material (including elastic modulus, yield strength and strain hardening exponent) from these curves [23,24,25].

  1. Conflict of interest: Authors state no conflict of interest.

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Received: 2022-10-07
Revised: 2022-11-27
Accepted: 2022-11-29
Published Online: 2022-12-23

© 2022 the author(s), published by De Gruyter

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

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  8. Control logic algorithm to create gaps for mixed traffic: A comprehensive evaluation
  9. Numerical prediction of cavitation phenomena on marine vessel: Effect of the water environment profile on the propulsion performance
  10. Boundary element analysis of rotating functionally graded anisotropic fiber-reinforced magneto-thermoelastic composites
  11. Effect of heat-treatment processes and high temperature variation of acid-chloride media on the corrosion resistance of B265 (Ti–6Al–4V) titanium alloy in acid-chloride solution
  12. Influence of selected physical parameters on vibroinsulation of base-exited vibratory conveyors
  13. System and eco-material design based on slow-release ferrate(vi) combined with ultrasound for ballast water treatment
  14. Experimental investigations on transmission of whole body vibration to the wheelchair user's body
  15. Determination of accident scenarios via freely available accident databases
  16. Elastic–plastic analysis of the plane strain under combined thermal and pressure loads with a new technique in the finite element method
  17. Design and development of the application monitoring the use of server resources for server maintenance
  18. The LBC-3 lightweight encryption algorithm
  19. Impact of the COVID-19 pandemic on road traffic accident forecasting in Poland and Slovakia
  20. Development and implementation of disaster recovery plan in stock exchange industry in Indonesia
  21. Pre-determination of prediction of yield-line pattern of slabs using Voronoi diagrams
  22. Urban air mobility and flying cars: Overview, examples, prospects, drawbacks, and solutions
  23. Stadiums based on curvilinear geometry: Approximation of the ellipsoid offset surface
  24. Driftwood blocking sensitivity on sluice gate flow
  25. Solar PV power forecasting at Yarmouk University using machine learning techniques
  26. 3D FE modeling of cable-stayed bridge according to ICE code
  27. Review Articles
  28. Partial discharge calibrator of a cavity inside high-voltage insulator
  29. Health issues using 5G frequencies from an engineering perspective: Current review
  30. Modern structures of military logistic bridges
  31. Retraction
  32. Retraction note: COVID-19 lockdown impact on CERN seismic station ambient noise levels
  33. Special Issue: Trends in Logistics and Production for the 21st Century - Part II
  34. Solving transportation externalities, economic approaches, and their risks
  35. Demand forecast for parking spaces and parking areas in Olomouc
  36. Rescue of persons in traffic accidents on roads
  37. Special Issue: ICRTEEC - 2021 - Part II
  38. Switching transient analysis for low voltage distribution cable
  39. Frequency amelioration of an interconnected microgrid system
  40. Wireless power transfer topology analysis for inkjet-printed coil
  41. Analysis and control strategy of standalone PV system with various reference frames
  42. Special Issue: AESMT
  43. Study of emitted gases from incinerator of Al-Sadr hospital in Najaf city
  44. Experimentally investigating comparison between the behavior of fibrous concrete slabs with steel stiffeners and reinforced concrete slabs under dynamic–static loads
  45. ANN-based model to predict groundwater salinity: A case study of West Najaf–Kerbala region
  46. Future short-term estimation of flowrate of the Euphrates river catchment located in Al-Najaf Governorate, Iraq through using weather data and statistical downscaling model
  47. Utilization of ANN technique to estimate the discharge coefficient for trapezoidal weir-gate
  48. Experimental study to enhance the productivity of single-slope single-basin solar still
  49. An empirical formula development to predict suspended sediment load for Khour Al-Zubair port, South of Iraq
  50. A model for variation with time of flexiblepavement temperature
  51. Analytical and numerical investigation of free vibration for stepped beam with different materials
  52. Identifying the reasons for the prolongation of school construction projects in Najaf
  53. Spatial mixture modeling for analyzing a rainfall pattern: A case study in Ireland
  54. Flow parameters effect on water hammer stability in hydraulic system by using state-space method
  55. Experimental study of the behaviour and failure modes of tapered castellated steel beams
  56. Water hammer phenomenon in pumping stations: A stability investigation based on root locus
  57. Mechanical properties and freeze-thaw resistance of lightweight aggregate concrete using artificial clay aggregate
  58. Compatibility between delay functions and highway capacity manual on Iraqi highways
  59. The effect of expanded polystyrene beads (EPS) on the physical and mechanical properties of aerated concrete
  60. The effect of cutoff angle on the head pressure underneath dams constructed on soils having rectangular void
  61. An experimental study on vibration isolation by open and in-filled trenches
  62. Designing a 3D virtual test platform for evaluating prosthetic knee joint performance during the walking cycle
  63. Special Issue: AESMT-2 - Part I
  64. Optimization process of resistance spot welding for high-strength low-alloy steel using Taguchi method
  65. Cyclic performance of moment connections with reduced beam sections using different cut-flange profiles
  66. Time overruns in the construction projects in Iraq: Case study on investigating and analyzing the root causes
  67. Contribution of lift-to-drag ratio on power coefficient of HAWT blade for different cross-sections
  68. Geotechnical correlations of soil properties in Hilla City – Iraq
  69. Improve the performance of solar thermal collectors by varying the concentration and nanoparticles diameter of silicon dioxide
  70. Enhancement of evaporative cooling system in a green-house by geothermal energy
  71. Destructive and nondestructive tests formulation for concrete containing polyolefin fibers
  72. Quantify distribution of topsoil erodibility factor for watersheds that feed the Al-Shewicha trough – Iraq using GIS
  73. Seamless geospatial data methodology for topographic map: A case study on Baghdad
  74. Mechanical properties investigation of composite FGM fabricated from Al/Zn
  75. Causes of change orders in the cycle of construction project: A case study in Al-Najaf province
  76. Optimum hydraulic investigation of pipe aqueduct by MATLAB software and Newton–Raphson method
  77. Numerical analysis of high-strength reinforcing steel with conventional strength in reinforced concrete beams under monotonic loading
  78. Deriving rainfall intensity–duration–frequency (IDF) curves and testing the best distribution using EasyFit software 5.5 for Kut city, Iraq
  79. Designing of a dual-functional XOR block in QCA technology
  80. Producing low-cost self-consolidation concrete using sustainable material
  81. Performance of the anaerobic baffled reactor for primary treatment of rural domestic wastewater in Iraq
  82. Enhancement isolation antenna to multi-port for wireless communication
  83. A comparative study of different coagulants used in treatment of turbid water
  84. Field tests of grouted ground anchors in the sandy soil of Najaf, Iraq
  85. New methodology to reduce power by using smart street lighting system
  86. Optimization of the synergistic effect of micro silica and fly ash on the behavior of concrete using response surface method
  87. Ergodic capacity of correlated multiple-input–multiple-output channel with impact of transmitter impairments
  88. Numerical studies of the simultaneous development of forced convective laminar flow with heat transfer inside a microtube at a uniform temperature
  89. Enhancement of heat transfer from solar thermal collector using nanofluid
  90. Improvement of permeable asphalt pavement by adding crumb rubber waste
  91. Study the effect of adding zirconia particles to nickel–phosphorus electroless coatings as product innovation on stainless steel substrate
  92. Waste aggregate concrete properties using waste tiles as coarse aggregate and modified with PC superplasticizer
  93. CuO–Cu/water hybrid nonofluid potentials in impingement jet
  94. Satellite vibration effects on communication quality of OISN system
  95. Special Issue: Annual Engineering and Vocational Education Conference - Part III
  96. Mechanical and thermal properties of recycled high-density polyethylene/bamboo with different fiber loadings
  97. Special Issue: Advanced Energy Storage
  98. Cu-foil modification for anode-free lithium-ion battery from electronic cable waste
  99. Review of various sulfide electrolyte types for solid-state lithium-ion batteries
  100. Optimization type of filler on electrochemical and thermal properties of gel polymer electrolytes membranes for safety lithium-ion batteries
  101. Pr-doped BiFeO3 thin films growth on quartz using chemical solution deposition
  102. An environmentally friendly hydrometallurgy process for the recovery and reuse of metals from spent lithium-ion batteries, using organic acid
  103. Production of nickel-rich LiNi0.89Co0.08Al0.03O2 cathode material for high capacity NCA/graphite secondary battery fabrication
  104. Special Issue: Sustainable Materials Production and Processes
  105. Corrosion polarization and passivation behavior of selected stainless steel alloys and Ti6Al4V titanium in elevated temperature acid-chloride electrolytes
  106. Special Issue: Modern Scientific Problems in Civil Engineering - Part II
  107. The modelling of railway subgrade strengthening foundation on weak soils
  108. Special Issue: Automation in Finland 2021 - Part II
  109. Manufacturing operations as services by robots with skills
  110. Foundations and case studies on the scalable intelligence in AIoT domains
  111. Safety risk sources of autonomous mobile machines
  112. Special Issue: 49th KKBN - Part I
  113. Residual magnetic field as a source of information about steel wire rope technical condition
  114. Monitoring the boundary of an adhesive coating to a steel substrate with an ultrasonic Rayleigh wave
  115. Detection of early stage of ductile and fatigue damage presented in Inconel 718 alloy using instrumented indentation technique
  116. Identification and characterization of the grinding burns by eddy current method
  117. Special Issue: ICIMECE 2020 - Part II
  118. Selection of MR damper model suitable for SMC applied to semi-active suspension system by using similarity measures
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