摘要
绿色制造中的切削参数优化对于提高加工质量、加工成本、产品利润和节能环保具有非常重要的意义。考虑实际加工约束条件,建立了加工精度与切削能量的双目标精车切削优化模型。通过实例运用NSGA-II算法与MOPSO算法对精车优化切削模型进行仿真,结果表明,NSGA-II算法获得了更优的Pareto最优解集。在给定加工余量条件下,加工精度与切削能量的Pareto最优前沿可由三次曲线方程拟合,且拟合相关指数为0.999 9。在加工精度与切削能量的Pareto最优解集下,加工精度和进给量的关系可由二次曲线方程拟合,且拟合相关指数为0.999 99,为精车切削参数优化选择提供了实践指导。
The cutting parameters optimization of green manufacturing machining is very important for machining quality, machining economics and profit. Subject to various practical cutting constraints, a dual-objective optimization model for finish turning cutting, based on the minimum cutting energy and the minimum machining precision, is proposed. The Non-dominated Sorting Genetic Algorithm-II（ NSGA-II） and Multi-Objective Particle Swarm Optimization （ MOPSO） are applied to the dual-objective nonlinear constrained optimization finish turning cutting model. Simulation results indicate that the Pareto-optimal solutions set by using NSGA-II algorithm are obtained more complete than the Pareto-optimal solutions set by applying the MOPSO algorithm. Under certain depth of cut, the Pareto-optimal front for the cutting energy and machining precision can be fitted by the cubic polynomials equation and the fitting relevant index is equal to 0. 9999. Under the Pareto-optimal front, the machining precision and feed rates can be also fitted by the quadratic polynomials equation and the fitting relevant index is equal to 0.99999, which provides practical guides for optimization of machining parameters.
出处
《现代制造工程》
CSCD
北大核心
2014年第3期86-91,共6页
Modern Manufacturing Engineering
基金
武汉市属高校科研项目(2008J12)
关键词
现代绿色制造
加工精度
切削能量
NSGA—II算法
MOPSO算法
精车切削优化
modern green manufacturing machining
machining precision
cutting energy
NSGA-II
MOPSO
machining parameters optimization in finish turning
