基于NSGA-Ⅱ算法的低碳机床主轴多目标优化设计
发布时间：2018-08-26 09:18
【摘要】：机床加工过程能耗及碳排放分析表明,主轴转动惯量是影响机床能耗和碳排放的重要因素之一。考虑弯矩和剪力对主轴刚度的影响,以机床主轴刚度最大和转动惯量最小作为优化目标,以强度、刚度和扭转等受载变形作为约束条件,建立面向高质、低碳的机床主轴多目标优化模型;采用多目标进化算法NSGA-Ⅱ求解,获得Pareto最优解集,为选择最优主轴结构参数提供支持。机床主轴设计案例分析表明,通过提高机床主轴刚度、减小转动惯量,有效地降低了机床加工过程碳排放。
[Abstract]:The analysis of energy consumption and carbon emission of machine tool shows that the moment of inertia of spindle is one of the important factors that affect the energy consumption and carbon emission of machine tool. Considering the influence of bending moment and shear force on the stiffness of spindle, the maximum stiffness and minimum moment of inertia of machine tool spindle are taken as the optimization objectives, and the load deformation such as strength, stiffness and torsion are taken as the constraint conditions to establish a high quality oriented machine tool. The multi-objective optimization model of machine tool spindle with low carbon is solved by multi-objective evolutionary algorithm NSGA- 鈪，
本文编号：2204412
[Abstract]:The analysis of energy consumption and carbon emission of machine tool shows that the moment of inertia of spindle is one of the important factors that affect the energy consumption and carbon emission of machine tool. Considering the influence of bending moment and shear force on the stiffness of spindle, the maximum stiffness and minimum moment of inertia of machine tool spindle are taken as the optimization objectives, and the load deformation such as strength, stiffness and torsion are taken as the constraint conditions to establish a high quality oriented machine tool. The multi-objective optimization model of machine tool spindle with low carbon is solved by multi-objective evolutionary algorithm NSGA- 鈪，
本文编号：2204412
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