Characteristics of force chains in frictional interface during abrasive flow machining based on discrete element method

Clicks: 223
ID: 114237
2018
Free PDF
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
Abrading is a very important sub-technology of the surface treatment technology with vast applications in the industry. This study aims at analyzing the inherent laws of friction systems during abrading. In particle flow code modeling, the abrading process can be simplified to the movement of particles in a parallel-plate shear friction system. In this study, the PFC2D software is used to construct the particle flow friction system with the set of parallel plates and the model parameters according to the abrading processing equipment and processing materials, control the simulation of a single variable, and compare the output data to estimate the impact of change of parameters on the force chain. The simulation results show that the shear dilatancy can be divided into three stages: plastic strain, macroscopic failure, and granular recombination stages. The distribution and load rates of the weak force chains depend on the load, velocity, friction coefficient between granules, granular diameter, and number of granular layers. The number of granular layers and the load increase cause the direction of the force chain to be oriented with the vertical direction, and the force chains move toward the horizontal direction as the velocity increases. The increase in load does not cause the shear dilatancy stage to occur; the velocity, friction coefficient between granules, and granular diameter increase cause the shear dilatancy to occur gradually.
Reference Key
xiu2018advancescharacteristics Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Tian-Xun Xiu;Wei Wang;Kun Liu;Zhi-Yong Wang;Dao-Zhu Wei;Tian-Xun Xiu;Wei Wang;Kun Liu;Zhi-Yong Wang;Dao-Zhu Wei;
Journal advances in manufacturing
Year 2018
DOI
doi:10.1007/s40436-018-0236-7
URL
https://link.springer.com/article/10.1007/s40436-018-0236-7
Keywords
manufacturing control Machines Tools Processes Robotics Mechatronics nanotechnology and microengineering

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.