The Parameters Optimized Design for Cutting SKD61 Tool Steel

• Main Authors: Jyun-Wei Wu, 吳峻葳
• Other Authors: Dai-Jia Juan
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/qkwag3

碩士 === 國立虎尾科技大學 === 機械與機電工程研究所 === 102 === Cutting machining operations for molds, cutting tools, machine parts surface treatment requirements will continue to increase. Prolong life, reduce production costs and create higher profits, is the industry common goal. To cope with the cutting processing, save a lot of processing time versus costs and after machining surface roughness has become an important research topic. This research is the most important effects of cutting parameters: spindle speed, feed rate, axial and radial depth of cut four factors as the main subject discussed, according to tool life and surface roughness of both quality objectives are chosen by Taguchi’s Orthogonal matrix to reduce the number of experiments. And using grey relation analysis to identify multiple targets (quality) to optimize data. The practical cutting operations were then handled on a machining center. Then using microscope and surface roughness machine to measure the tool life and surface roughness to detect the tool wear and surface roughness. Finally, find the optimal or most appropriate cutting conditions to verify. Validation results end mills average error is the 8.29%, ball nose end mill average error is the 1.625%, Show this research gray relational method to find the optimum cutting parameters of multiple targets in good agreement.