Predictive topography model for shape adaptive grinding of metal matrix composites

Wu Le Zhu, Chetan Jain, Yanjun Han, Anthony Beaucamp

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

Compliant finishing (e.g. shape adaptive grinding) can routinely achieve nanoscale roughness on diverse metal and ceramic materials. However, when processing multiphase materials consisting of distinct phases with different mechanical properties, non-uniform material removal often occurs and the inherent mechanism remains unclear. Here, a deterministic and stochastic model to predict processed surface topography is derived from the different material removal behaviours across phases. Experimental topographies, profiles and roughness on three selected Si-SiC samples show high consistency with theoretical predictions. Both model and experiments indicate that improved and stable surface finish can be achieved on metal matrix composites with small grain size.

Original languageEnglish
Pages (from-to)269-272
Number of pages4
JournalCIRP Annals
Volume70
Issue number1
DOIs
Publication statusPublished - 2021 Jan
Externally publishedYes

Keywords

  • Finishing
  • Multiphase ceramics
  • Topography

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

Fingerprint

Dive into the research topics of 'Predictive topography model for shape adaptive grinding of metal matrix composites'. Together they form a unique fingerprint.

Cite this