关键词: 箱体零件, 工艺路线, 多色集理论, 多目标优化, 遗传算法

Abstract: Aiming at optimizing the low-carbon and low-cost of process routes during the processes of process design for housing parts, the machining features of complex housing parts were analyzed. On the basis of machining step sequencing principles and machining process routes, according to the polychromatic sets theory, the “feature-step” and “feature-face” contour Boolean matrixes of the step sequencing problem were constructed. A multi-objective optimization method of machining process routes was proposed, which took the lowest total carbon emissions(low-carbon) and minimum total processing costs(low-cost) as the optimization objectives. And the optimum solution was obtained by applying improved genetic algorithm to solve the machining step sequencing problem. A housing part was taken as an example to verify the effectiveness and feasibility of the proposed optimization method.

Key words: housing part, process route, polychromatic sets theory, multi-objective optimization, genetic algorithm.