Parameter Optimization of Creep Feed Grinding for IC10 Directionally Solidified Superalloy
YANG Zhongxue 1 , ZHANG Shuaiqi 1 , WANG Sai 1 , WANG Shuai 1 , ZHANG Changchun 1 , XIONG Yifeng 2, 3 , JIANG Ruisong 4 , ZHANG Qiang 1
1. National Key Laboratory of Advanced High Temperature Structural Materials, Beijing Institute of Aeronautical Materials, Beijing 100095, China ;
2. Key Laboratory of High Performance Manufacturing for Aero Engine, Ministry of Industry and Information Technology, School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, China ;
3.Engineering Research Center of Advanced Manufacturing Technology for Aero Engine, Ministry of Education, School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, China ;
4. Sichuan University, Chengdu 610065, China
Abstract：Orthogonal experiments were designed to research the effects of grinding parameters and surface roughness on the fatigue life of IC10 superalloy during creep feed grinding. Based on experimental results, empirical models of grinding parameters and surface roughness, fatigue life were established. Then multi-objective optimization of grinding parameters was carried out for smaller surface roughness, longer fatigue life and higher machining efficiency. The results show that the fatigue life increases with increasing grinding wheel speed while it decreases with increasing workpiece feed speed or grinding depth. The wheel speed has the highest influence on the fatigue life, followed by workpiece feed speed and grinding depth. As surface roughness R a increased from 0.44μm to 0.94μm, the fatigue life decreased about 87.1% from 9.69×106 to 1.25×106 , indicating that the grinding surface roughness has a significant influence on fatigue life. By optimization of grinding parameters, a group of suitable grinding parameters could be given as: wheel speed vs = 20m/s, the workpiece feed speed vw = 117mm/min, and the grinding depth ap =0.48mm, with taking, full account of the fatigue life, machining efficiency and surface roughness.
2022, 
