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韩艳君 讲师(高校)

机械工程学院

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Predictive topography model for shape adaptive grinding of metal matrix composites

影响因子:4.1

DOI码:10.1016/j.cirp.2021.04.028

发表刊物:CIRP ANNALS-MANUFACTURING TECHNOLOGY

关键字:Finishing; Topography; Multiphase ceramics

摘要: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.

论文类型:SCI

论文编号:20212510528562

卷号:70

期号:1

页面范围:269-272

ISSN号:0007-8506

是否译文:否

发表时间:2021-07-09

收录刊物:SCI、EI

发布期刊链接:https://doi.org/10.1016/j.cirp.2021.04.028