An analytical model for force prediction in micromilling silicon carbide particle–reinforced aluminum matrix composites. (August 2020)

• Record Type: Journal Article
• Authors: Liu, Junwei; Cheng, Kai; Ding, Hui; Chen, Shijin
• Is Part Of: Proceedings of the Institution of Mechanical Engineers. Volume 234:Number 10(2020)
• Page Start: 1273
• Page End: 1282
• Publication Date: 2020-08
• Subjects: Silicon carbide particle–reinforced aluminum matrix composites -- micromilling -- size effect -- analytical force -- fracture force; Mechanical engineering -- Periodicals; Engineering -- Management -- Periodicals; Manufacturing processes -- Periodicals; 629.8
• DOI: 10.1177/0954405420923418
• Languages: English
• ISSNs: 0954-4054

Abstract

In micromilling the silicon carbide particle–reinforced aluminum matrix composites, cutting forces can provide a better insight of the cutting mechanism. In this article, an analytical model for force prediction in micromilling composites is developed considering the size effect of the matrix. In modeling, for the matrix, the cutting area is divided into shearing area and plowing area and the removal forces are established considering chip formation and edge forces; for the particle, the removal forces are established based on Griffith fracture theory. The model is verified by micromilling experiments. The influences of the process parameters (milling width, milling depth, and feed per tooth) on the milling force were studied. It shows that the maximum milling force increased with the increase in the feed per tooth and the milling depth and increases first and then stabilizes with the increase in milling width; the average milling force increases with the increase in the three parameters. In addition, the contribution of the particle fracture force is analyzed, and it is found that the contribution of the particle fracture force is affected by the feed per tooth, which basically accounts for about 23% of the maximum milling force and accounts for 23%–30% of the average milling force.