Predictive model of the surface topography for compliant grinding of brittle materials

Yang, Yue; Liao, Zhirong; Wang, Zhao

Abstract

During uneven and time-dependent compliant grinding of brittle materials, the surface topography is difficult to predict as ductile and brittle regions are coupled due to compliance occurring in macro/micro tool-workpiece contact. This paper proposed a predictive model for surface topography prediction by considering its ductile-brittle transition in compliant grinding. Shape adaptive grinding and monocrystalline silicon were chosen as an example to validate the proposed model based on progressive grinding tests (spot, line, area). Feed-Spindle Projection Angles are further investigated, revealing that 0° angle can obtain a ground surface with lower area roughness and smaller brittle fragments than 45° and 90°

Citation

Yang, Y., Liao, Z., & Wang, Z. (2022). Predictive model of the surface topography for compliant grinding of brittle materials. CIRP Annals - Manufacturing Technology, 71(1), 465-468. https://doi.org/10.1016/j.cirp.2022.04.026

• Journal Article Type: Article
• Acceptance Date: Apr 21, 2022
• Online Publication Date: Apr 21, 2022
• Publication Date: 2022-04
• Deposit Date: Apr 25, 2022
• Publicly Available Date: Apr 28, 2022
• Journal: CIRP Annals
• Print ISSN: 0007-8506
• Electronic ISSN: 1726-0604
• Publisher: Elsevier BV
• Peer Reviewed: Peer Reviewed
• Volume: 71
• Issue: 1
• Pages: 465-468
• DOI: https://doi.org/10.1016/j.cirp.2022.04.026
• Keywords: Industrial and Manufacturing Engineering; Mechanical Engineering
• Public URL: https://nottingham-repository.worktribe.com/output/7787445
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S0007850622000749?via%3Dihub