Analysis model of parameters affecting cutting performance in high-speed machining

作者：Wang Yung Cheng; Chen Chi Hsiang^*; Lee Bean Yin

来源：International Journal of Advanced Manufacturing Technology, 2014, 72(1-4): 521-530.

DOI：10.1007/s00170-013-5505-9

• High-speed cutting
• Tool grinding
• Grey relational analysis
• Surface roughness
• Endmill

Further progress in green cutting applications depends on the innovativeness of machine tools, advances in tool development, and, especially, more complex tool and cutting technologies. Therefore, this study analyzes the factors influencing high-speed cutting performance. Grey relational analysis and the Taguchi method are then incorporated in the experimental plan with high-speed milling of AISI H13 tool steel. Experimental results indicate that the contributions of tool grinding precision, geometric angle, and cutting conditions to the multiple quality characteristics of high-speed milling for AISI H13 tool steel are 11.75, 9.80, and 73.11 %, respectively. For rough machining, tool life and metal removal volume are the primary evaluation indicators and cutting parameters should be prioritized, especially cutting speed and feed per tooth. In finish machining, workpiece surface roughness is the primary evaluation indicator. Besides the selection of cutting parameters, the design and grinding of endmill are critical factors, especially the design and grinding of relief angles.

• 出版日期2014-4
• 单位中国地震局工程力学研究所