An Optimization Method of the Heavy Machine Cutting Parameters

摘要：

This paper analyzes the machining process of CNC machine tools, and builds an optimization model of the machining process parameters based on the mechanical vibration and the operational research. The model mixed genetic algorithm and particle swarm optimization (PSO) is built. It proposes an optimization algorithm that has higher convergence precision and execute ability to solve engineering problem with nonlinear and multi-extremum. According to case study, it proves the correctness of the model and the efficiency and high-performance nature of the designed optimization algorithm. It also appears the efficiency to solve the common engineering problems by the intelligent optimization algorithms.

关键词： Optimization Cutting parameters Genetic algorithm Particle swarm optimization

作者: DENG Chao MA Chao XIONG Yao WANG Yuanhang

作者单位: State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University ofScienc State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Scien

会议类型: 国际会议

会议名称: 第三届产品开发与可靠性进展国际会议

会议地点: 武汉

会议语种:英文

页码: 38-43

在线出版日期: 2012-07-29（万方平台首次上网日期，不代表论文的发表时间）