2006Tianjin Gongye Daxue xuebaoRequires access

Selection of optimum process parameters of surface roughness in high-speed cutting

Xiaorun Chen

Open publisher page 1 citations

Abstract

The optimization of the cutting parameters in high-speed cutting is analyzed based on the Taguchi method.High speed milling experiments with cutting speed,feed per tooth and depth of cut as cutting parameters have been performed with the surface roughness as measurement index.The effects of these parameters on the surface roughness have been researched by means of the signal-to-noise ratio and analysis of variance,and then the optimal cutting parameters have been found.

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What this paper is about

The optimization of the cutting parameters in high-speed cutting is analyzed based on the Taguchi method.High speed milling experiments with cutting speed,feed per tooth and depth of cut as cutting parameters have been performed with the surface roughness as measurement index.The effects of these parameters on the surface roughness have been researched by means of the signal-to-noise ratio and analysis of variance,and then the optimal cutting parameters have been found.

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Available abstract

The optimization of the cutting parameters in high-speed cutting is analyzed based on the Taguchi method.High speed milling experiments with cutting speed,feed per tooth and depth of cut as cutting parameters have been performed with the surface roughness as measurement index.The effects of these parameters on the surface roughness have been researched by means of the signal-to-noise ratio and analysis of variance,and then the optimal cutting parameters have been found.

Key concepts: Taguchi methods, Surface roughness, Materials science, Process (computing), Noise (video), Surface finish, Mechanical engineering, Signal-to-noise ratio (imaging)

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