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- 2017
基于Pareto遗传算法和TRIZ理论的数控装备加工参数智能优化
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Abstract:
针对数控装备加工参数优化问题, 提出了一种基于Pareto遗传算法结合TRIZ理论的优化算法．首先建立优化目标为切削效率和刀具耐用度的多目标优化模型, 基于Pareto遗传算法实现先寻优后决策的求解模式, 并得到Pareto最优解集; 其次, 基于TRIZ发明问题解决理论, 从最优解集中分析技术矛盾并建立矛盾矩阵表, 根据技术问题解决原理进行最优解的决策, 有效地避免了基于经验和偏好选择的弊端, 实现合理寻优和理性决策的良好组合．最后, 通过采用4组切削参数分别进行铣削后的表面粗糙度实验验证了该方法的可行性和有效性．
Based on the Pareto genetic algorithm and TRIZ theory，an optimization algorithm was proposed for the optimization of CNC equipment machining parameters. Firstly，a multi-objective optimization model was built with cutting efficiency and tool life as optimization objectives. The Pareto optimal solutions front was generated based on the Pareto genetic algorithm with the solving mode of optimization followed by decisions. Secondly，based on TRIZ inventive problem solving theory，technical contradiction was analyzed on the Pareto optimal solutions and contradiction matrix table was built. The optimal solution was decided based on technical problem-solving principles，which effectively avoided the drawbacks induced by the choice of experience and preference. In this way，a satisfactory the good combination of reasonable optimization and rational decision was achieved. Finally，the feasibility and effectiveness of the proposed method were verified by the experiment results of the surface roughness after milling with four sets of machining parameters respectively
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