2012
DOI: 10.4028/www.scientific.net/msf.723.196
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The Optimization of Cutting Parameters for Surface Roughness in High Speed Milling Based on Taguchi Method

Abstract: In this study AISI 1045 steel of different hardness are used in high speed milling. According to Taguchi method, cutting parameters (milling speed, milling depth, feed per tooth) and workpiece hardness for the influence of high speed milling of the surface roughness are optimized. Through this study, not only the optimal cutting parameters of the minimum surface roughness is obtained, but also the main cutting parameters that effect performance in high speed milling is analysed. Researching results can be prov… Show more

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Cited by 3 publications
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“…A multi-objective optimization mathematical model was established and the high-speed milling process parameters were optimized according to the required range of the actual machining parameters and the best combination of process parameters was obtained. Li et al [10] conducted high-speed dry milling experiments on AISI 1045 steel with different hardness. The research adopted the Taguchi experiment method to optimize the cutting parameters (milling speed, milling depth, feed per tooth) and workpiece hardness and obtained the optimal combination of cutting parameters with the minimum surface roughness as the goal.…”
Section: Introductionmentioning
confidence: 99%
“…A multi-objective optimization mathematical model was established and the high-speed milling process parameters were optimized according to the required range of the actual machining parameters and the best combination of process parameters was obtained. Li et al [10] conducted high-speed dry milling experiments on AISI 1045 steel with different hardness. The research adopted the Taguchi experiment method to optimize the cutting parameters (milling speed, milling depth, feed per tooth) and workpiece hardness and obtained the optimal combination of cutting parameters with the minimum surface roughness as the goal.…”
Section: Introductionmentioning
confidence: 99%