木工超薄圆锯片消音缝多目标优化设计

Multi-objective Optimization Design of Silencing Slits for Woodworking Ultra-thin Circular Saw Blade

针对超薄圆锯片消音缝设计问题,提出并实施了一种基于MATLAB/ANSYS联合仿真协同非支配排序遗传算法(NSGA-Ⅱ)的多目标优化设计方法。通过Inspire软件采用变密度法进行拓扑优化,确定消音缝的设计域。构建以消音缝位置、角度及缝宽等形状参数为设计变量,以最大变形量、最大等效应力及整体振幅最小化为目标的多目标优化模型。通过MATLAB/ANSYS联合仿真协同NSGA-Ⅱ的策略,进行模型的优化求解。结果表明:4个优化解均能有效减少锯切过程中锯片的变形和整体振幅,为决策者提供了更广泛的选择空间。研究为圆锯片消音缝的多目标优化设计问题提供了可行的解决方案。

A multi-objective optimization design method based on the MATLAB/ANSYS co-simulation non�dominated aorting genetic algorithm II(NSGA-II)was proposed and implemented in this paper.The method was used to complete the design of silencing slits for ultra-thin circular saw blades.Topology optimization was performed in Inspire software by using the variable density method to determine the design domain of the silencing slit.The location,angle,and width of the silencing slit were taken as the design variables.Maximum deformation,maximum equivalent force,and overall amplitude were taken as the design objectives.On this basis,a multi-objective optimization model was established.The optimized solution of the model was carried out by the strategy of MATLAB/ANSYS co-simulation in collaboration with NSGA-II.The results showed that all the four optimized solutions can effectively reduce the deformation and overall amplitude of the saw blade during sawing,which provided a wider range of choices for decision makers.The study provided a possible solution to the problem of multi-objective optimal design of silencing slits for circular saw blade.