An analytical model for the optimized design of micro-textured cutting tools. Issue 1 (2022)

• Record Type: Journal Article
• Authors: Kishawy, Hossam A.; Salem, Amr; Hegab, Hussien; Hosseini, Ali; Elbestawi, Mohamed
• Is Part Of: CIRP annals. Volume 71:Issue 1(2022)
• Page Start: 49
• Page End: 52
• Publication Date: 2022
• Subjects: Modeling -- Design -- Cutting; Production engineering -- Research -- Periodicals; 670.5
• DOI: 10.1016/j.cirp.2022.04.067
• Languages: English
• ISSNs: 0007-8506

Abstract

Abstract: Proper design of micro-textured cutting tools is an effective strategy to improve the machining performance by reducing the tool-chip contact length and the resultant friction and thus improving tool life and workpiece surface integrity. In this paper, an Oxely-based analytical model is developed to optimize micro-textured cutting tool design(s) which eliminate the occurrence of derivative cutting. The model accommodates any workpiece material, tool geometry, and machining parameter. The model was validated by orthogonal cutting of AISI 1045 steel tubes. The results show that the optimum micro-texture design eliminates derivative cutting and lowers forces compared to the non-textured cutting tool.