Modelling of abrasive material loss at soil tillage via scratch test with the discrete element method

Schramm, Florian; Kalácska, Ádám; Pfeiffer, V.; Sukumaran, Jacob; Baets, Patrick De; Frerichs, Ludger

doi:10.1016/j.jterra.2020.08.002

Cited by 16 publications

(9 citation statements)

References 35 publications

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“…This wear model has been used widely for bulk handling process, such as the prediction of the wear of mill lifters [35] and local failure prediction of abrasive wear on tipper bodies [36]. Equation (8) shows the generalized equation to calculate sliding wear volume:…”

Section: Archard Wear Modelmentioning

confidence: 99%

“…Inspired by the bionic design method, a convex pattern surface is introduced [6] and optimized [7] to reduce the sliding wear of the surfaces of bulk solids handing equipment by using a discrete element method (DEM). Many works [8][9][10][11][12][13][14][15][16] have been completed on the investigation of sliding wear caused by the bulk material based on the DEM method, while other studies [9,[11][12][13][14]16] whilwhile seldom focused on the influence of particle size on sliding wear. Although the previous studies have shown that the convex pattern surface can significantly reduce sliding wear compared with the flat surface, the effect of particle size is still unknown.…”

Section: Introductionmentioning

confidence: 99%

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The Influence of Particle Size on Sliding Wear of a Convex Pattern Surface

2022

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Sliding wear of bulk handling equipment (e.g., shovel bucket, mill and transfer chute) can be dramatically reduced by using a convex pattern surface compared to a flat surface, by adjusting the flow behavior of particles moving along the convex pattern surface. To study the effect of particle size relative to the dimensions of the convex pattern surface, a coarse graining technique is applied. Comparisons of bulk flow and wear behavior between the convex pattern and flat surfaces illustrate the two-sided effect of the convex pattern surface on sliding wear. The bulk flow behavior indicates that the particle size has a minor effect on the velocity and angular velocity of particles for the flat surface, while it has a significant effect on those of the convex pattern surface. The wear results show that the particle size has negligible influence on the sliding wear of a flat surface and a linear relationship with the sliding wear of the convex pattern surface. The convex pattern surface can reduce the sliding wear through influencing the flow behavior of the bulk material when the equivalent radius of the convex is larger than r50 of particles. This research reveals the relationship between the dimensions of the convex pattern and the particle size on the sliding wear caused by the interaction between bulk material and bulk handling equipment. The relationship should be carefully considered for the applications of the convex pattern surface to bulk handling equipment.

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Section: Archard Wear Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Influence of Particle Size on Sliding Wear of a Convex Pattern Surface

2022

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“…By obtaining a global wear constant and analysing the mesh size sensitivity, the predicted wear profile can match the measurement through a mesh smoothing technique. Additionally, Schramm et al [ 21 ] modelled a scratch test to study the abrasive material loss at soil tillage and compared it with a cross-section profile.…”

Section: Introductionmentioning

confidence: 99%

Pin-on-Disc Modelling with Mesh Deformation Using Discrete Element Method

2022

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The pin-on-disc test is a standard sliding wear test used to analyse sliding properties, including wear contour and wear volume. In this study, long-term laboratory test performance is compared with a short-term numerical model. A discrete element method (DEM) approach combined with an Archard wear model and a deformable geometry technique is used. The effect of mesh size on wear results is evaluated, and a scaling factor is defined to relate the number of revolutions between the experiment and the numerical model. The simulation results indicate that the mesh size of the disc has a significant effect on the wear contour. The wear depth and wear width follow a normal distribution after experiencing a run-in phase, while the wear volume has a quadratic relation with the number of revolutions. For the studied material combination, the calibration of the wear coefficient shows that the wear volume of the pin-on-disc test accurately matches the simulation results for a minimum of eight revolutions with a wear coefficient lower than 2 × 10−11𝑃a−1.

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“…According to the different wear mechanisms, it can be divided into adhesive wear, abrasive wear, fatigue wear and erosion wear [3]. Abrasive wear is generated by the sliding motion of soil-engaging components that are in contact with the soil [4,5]. The wear behavior of agricultural machinery could be classified as abrasive wear, which is commonly found in the mouldboard plough [6], rotary tiller blade [7], disc cutter [8], ditching disc [9] and other agricultural machinery soil working parts.…”

Section: Introductionmentioning

confidence: 99%

EDEM Investigation and Experimental Evaluation of Abrasive Wear Resistance Performance of Bionic Micro-Thorn and Convex Hull Geometrically Coupled Structured Surface

et al. 2021

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Procambarus clarkii was found to have excellent anti-wear performance against abrasive materials. To improve the wear resistance performance of the soil-engaging component of agricultural machinery, in this study, the micro-thorn and convex hull coupled geometrical structured surfaces inspired from the cephalothorax exoskeleton of the Procambarus clarkii was selected as the bionic prototype. By adopting bionic engineering techniques, three types of novel geometrical structured surfaces were proposed, which were bionic single, double and triple micro-thorn coupled convex hull surfaces (Bionic Type 2, 3 and 4, respectively). The anti-abrasive wear properties of these proposed geometrical surfaces were compared with a conventional bionic convex hull structured surface (Bionic Type 1) and a surface without any structures (smooth). Abrasive wear tests were conducted by using a rotational abrasive wear testing system. The accumulative test time was 80 h and the total wear distance was 6.09 × 105 m. By adopting the EDEM software (discrete element modeling), the Archard Wear model was selected to simulate the wear behavior of five different surfaces. In addition, the wear mechanisms of different surfaces were investigated. The results showed that the smooth surface suffered the most severe abrasive were, the abrasion loss reached 194.1 mg. The anti-abrasive properties of bionic geometric structured non-smooth surfaces were greatly improved; the reduction in terms of abrasion losses ranged between 20.4% and 94.1%, as compared with the smooth surface. The wear resistance property of micro-thorn and convex hull coupled structured surfaces were greatly improved as compared with convex hull and smooth surface. Bionic Type 3 was found to have the best anti-abrasive wear property: the abrasion loss was 11.5 mg. The wear morphology was observed by a scanning electron microscope. Smooth surface was characterized with wide, large size of grinding debris, while the bionic non-smooth surface featured narrow and small size abrasive dust. The results obtained from EDEM simulation agreed well with those of the aforementioned real scenario tests. It was revealed that the wear areas of the micro-thorn and convex hull coupled structured surface were mainly concentrated on the edge of convex hull and micro-thorn that faced the coming direction of particle flow. The geometric structure of the convex hull had beneficial effects on changing the movement behavior of particles, which means the stream of particle flow could be altered from a sliding to rolling state. Consequently, the ploughing and cutting phenomena of particles that act on the surfaces were greatly mitigated. Moreover, after being coupled with micro-thorns, the anti-abrasive wear preparty of the bionic convex hull geometrical structured surface was further improved. The rebound angle of particle flow that contacted the bionic micro-thorn coupled convex hull structured surface was greater than that of the conventional convex hull surface. Therefore, the dispersion effect of particle flow was further enhanced, since the movement behavior of the subsequent impact particle flow was altered. As a result, the wear of the bionic non-smooth surface was further reduced. This biconically inspired novel micro-thorn and convex hull coupled structured surface could provide theatrical and technical references to enhance the wear resistance performance of the soil-engaging component of agricultural machinery and mitigate the problem of abrasive wear failure.

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Modelling of abrasive material loss at soil tillage via scratch test with the discrete element method

Cited by 16 publications

References 35 publications

The Influence of Particle Size on Sliding Wear of a Convex Pattern Surface

The Influence of Particle Size on Sliding Wear of a Convex Pattern Surface

Pin-on-Disc Modelling with Mesh Deformation Using Discrete Element Method

EDEM Investigation and Experimental Evaluation of Abrasive Wear Resistance Performance of Bionic Micro-Thorn and Convex Hull Geometrically Coupled Structured Surface

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