|
个人信息Personal Information
教授
博士生导师
硕士生导师
性别：女
毕业院校：大连理工大学
学位：博士
所在单位：机械工程学院
学科：机械电子工程. 精密仪器及机械
办公地点：机械知方楼7029
联系方式：lxhdlut@dlut.edu.cn
电子邮箱：lxhdlut@dlut.edu.cn
Multi-objective optimization of cutting parameters for micro-milling nickel-based superalloy thin-walled parts based on improved NSGA-II algorithm
点击次数：
论文类型：期刊论文
发表时间：2024-10-31
发表刊物：INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
卷号：135
期号：1-2
页面范围：775-786
ISSN号：0268-3768
关键字：SURFACE-ROUGHNESS
摘要：This paper focuses on the difficulties in high-quality and high-efficiency micro-milling nickel-based superalloy micro thin-walled parts. The second-generation Non-dominated Sorting Genetic Algorithm (NSGA-II) is improved. A central composite experiment is designed, and a surface roughness prediction model is developed for micro-milling thin-walled parts. A prediction model for surface residual stress on thin-walled parts is developed using an L9(34) orthogonal simulation experiment. Using the NSGA-II algorithm, the four cutting parameters (spindle speed, feed per tooth, axial cutting depth, and radial cutting depth) are optimized to achieve low surface roughness and high material removal rate, while stable cutting and surface compressive residual stress are considered constraints. Finally, the high-quality and high-efficiency micro-milling of the Inconel 718 cross-shaped thin-walled parts is realized.