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基于NSGA-Ⅱ算法的低碳機(jī)床主軸多目標(biāo)優(yōu)化設(shè)計(jì)

發(fā)布時(shí)間:2018-08-26 09:18
【摘要】:機(jī)床加工過程能耗及碳排放分析表明,主軸轉(zhuǎn)動慣量是影響機(jī)床能耗和碳排放的重要因素之一。考慮彎矩和剪力對主軸剛度的影響,以機(jī)床主軸剛度最大和轉(zhuǎn)動慣量最小作為優(yōu)化目標(biāo),以強(qiáng)度、剛度和扭轉(zhuǎn)等受載變形作為約束條件,建立面向高質(zhì)、低碳的機(jī)床主軸多目標(biāo)優(yōu)化模型;采用多目標(biāo)進(jìn)化算法NSGA-Ⅱ求解,獲得Pareto最優(yōu)解集,為選擇最優(yōu)主軸結(jié)構(gòu)參數(shù)提供支持。機(jī)床主軸設(shè)計(jì)案例分析表明,通過提高機(jī)床主軸剛度、減小轉(zhuǎn)動慣量,有效地降低了機(jī)床加工過程碳排放。
[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,

本文編號:2204412

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