Analytical Modeling of Particle Scratching Process
Source abstract
Abstract
This study develops a new physical and analytical model for the particle scratching process, where a particle is modeled as a sphere. It investigates the flow of workpiece material introduced by the particle’s motion, dividing the contact area into zones of elastic and plastic deformation. Forces applied to the particle in both zones are calculated, and parameters defining the extent of elastic rebound and plastic upheaval are introduced. The study also presents stress distribution in the plastic zone, discusses the factors influencing the force ratio, and reveals that the force ratio increases with greater elastic rebound, plastic upheaval, cutting depth, and strain strengthening, but decreases with larger particle sizes. Yield stress was found to have no effect on the force ratio. These findings will guide research in practical material processing as well as in scratch applications.
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Research context
OpenAlex topics: Advanced Surface Polishing Techniques · Advanced machining processes and optimization · Metal and Thin Film Mechanics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, China
Institute of Manufacturing Engineering, Huaqiao University, Xiamen 361021, China
National and Local Joint Engineering Research Center for Intelligent Manufacturing Technology of Brittle Material Products, Xiamen 361021, China
Nan’an-HQU Institute of Stone Industry Innovations Technology, Quanzhou 362261, China
Funding
Fujian Science and Technology Project · Fujian Province’s Major Science and Technology Special Projects · seventh batch of high-level talent team projects introduced in Quanzhou City
References (31)
Show source-provided references
1. Experimental study of abrasive process10.1016/j.wear.2006.08.046 ↗
2. Development of specific grinding energy model10.1016/j.ijmachtools.2011.11.003 ↗
3. Pandiyan, V., Caesarendra, W., Tjahjowidodo, T., and Praveen, G. (2017). Predictive modelling and analysis of process parameters on material removal characteristics in abrasive belt grinding process. Appl. Sci., 7.10.3390/app7040363 ↗
4. A molecular-scale analytic model to evaluate material removal rate in chemical mechanical planarization considering the abrasive shape10.1016/j.mee.2015.02.012 ↗
5. Specific energy modeling of abrasive cut off operation based on sliding, plowing, and cutting10.1016/j.jmrt.2022.03.185 ↗
6. Analytical prediction of chatter stability of end milling process using three-dimensional cutting force model10.1007/s40430-016-0567-x ↗
7. A stochastic grinding force model considering random grit distribution10.1016/j.ijmachtools.2008.05.012 ↗
8. Using parallel scratches to simulate abrasive wear10.1016/j.wear.2009.06.005 ↗
9. Scratching of polymers—Modeling abrasive wear10.1016/j.wear.2006.10.017 ↗
10. Study on the machined depth when nanoscratching on 6H-SiC using Berkovich indenter: Modelling and experimental study10.1016/j.apsusc.2016.02.032 ↗
11. Modeling and simulation of material removal in planarization process10.1007/s00170-007-0978-z ↗
12. Modeling the effects of particle deformation in chemical mechanical polishing10.1016/j.apsusc.2012.04.079 ↗
13. Modelling abrasive wear10.1016/j.wear.2004.09.065 ↗
14. Effect of the belt grinding on the surface texture: Modeling of the contact and abrasive wear10.1016/j.wear.2005.02.113 ↗
15. Modeling of abrasive wear by the meshless smoothed particle hydrodynamics method10.3103/S1068366616010037 ↗
16. Miyoshi, K. (2001). Solid Lubrication Fundamentals and Applications, CRC Press. [1st ed.].10.1201/9781420027068 ↗
17. Orthogonal cutting of hardened AISI D2 steel with TiAlN-coated inserts—Simulations and experiments10.1007/s00170-012-4122-3 ↗
18. Machining evaluation of a hybrid MQL-CO2 grinding technology10.1016/j.jclepro.2010.07.002 ↗
19. Simulation of Grinding Surface Creation—A Single Grit Approach10.4028/www.scientific.net/AMR.126-128.23 ↗
20. Performance improvement of minimum quantity lubrication (MQL) technique in surface grinding by modeling and optimization10.1016/j.jclepro.2014.08.045 ↗
21. Liu, J., Xiong, J., and Yuan, W. (2012). Experiment Study on Grinding Force of 65Mn Steel in Grinding-Hardening Machining, Springer.10.1007/978-3-642-31003-4_30 ↗
22. Grinding behavior and surface appearance of (TiCp+TiBw)/Ti-6Al-4V titanium matrix composites10.1016/j.cja.2014.08.006 ↗
23. In-Process Prediction of Surface Roughness in Grinding Process by Monitoring of Cutting Force Ratio10.4028/www.scientific.net/AMM.627.29 ↗
24. Improved method for grinding force prediction based on neural network10.1007/s00170-007-1264-9 ↗
25. Influence of Plastic Contact Area on Sliding Wear of GCr15/35CrMo Steel Tribo-pair
26. Rubber wear: Experiment and theory10.1063/5.0248199 ↗
27. Numerical analysis of torsional micro-motion thermal coupling considering frictional heat generation
28. Qian, H., Chen, M., Qi, Z., Teng, Q., Qi, H., Zhang, L., and Shan, X. (2023). Review on research and development of abrasive scratching of hard brittle materials and its underlying mechanisms. Crystals, 13.10.3390/cryst13030428 ↗
29. Distribution of force and wear analysis of surface contact
30. Microstructure Evolution and Plastic Removal for Single Crystal Nickel Induced by Particle Scratching: Atomic Simulation Method
31. Fretting wear behavior considering the contact of third body particles