Abstract
Wear is a complex and frequently observed phenomenon in industrial processes. In past studies, the equipment wear has been the major focus for researchers, while particle wear and its distribution have received less attention. However, in processes such as grinding, mass finishing, and polishing, understanding particle wear and its distribution is equally important. Predicting particle wear and its distribution can help predict shape changes during processing and guide production to improve economic efficiency. In this study, a method combining an energy-based wear model IEEM (Impact Energy erosion model) and an intersection algorithm is proposed to obtain the wear distribution within the DEM (Discrete Element Method) framework. The accuracy of the method is validated by the comparison between experiments and corresponding simulations, where the experiment is conducted on cube workpieces using a laboratory-scale planetary ball mill under wet conditions. Furthermore, the influence of particle shape on the wear distribution is investigated by DEM simulations.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
