面向节能高效需求的数控加工系统多目标优化模型

Multi-objective Optimization Model Faced to Demands of Energy Saving and High Efficiency for CNC Machining Systems

针对数控加工系统复杂的多源动态能耗特性,提出了一种基于单元工作状态的能耗建模与优化方法。首先,对数控加工系统能耗单元及其工作状态的能耗特性进行分析,建立了时变能耗单元和非时变能耗单元的工作状态能耗模型;其次,构建以切削速度和进给量为变量,以最小系统能耗和最短加工时间为目标的数控加工系统节能高效多目标优化模型,提出一种基于小生境遗传算法的模型求解方法;最后,通过某机床中心架底座加工案例对所提方法和模型进行了验证,并对优化结果、算法性能进行了对比分析,说明了上述模型和方法的有效性。

Aiming at the complex multi-source and dynamic energy characteristics of CNC machining systems,a unit working state-based modeling and optimization method was proposed.Firstly,the CNC machining system energy consumption units and their energy characteristics in working states were studied,and dynamic energy models of time-varying and non-time-varying units were established.Secondly,an optimization model faced to energy saving and high efficiency was established,which took cutting speed and feed as the variables,and minimum energy consumption and machining time as the objectives,a solving method was proposed based on niche genetic algorithm.Finally,a machine tool center frame base processing case study was performed to verify the effectiveness of the proposed method and model,and the optimization results and the algorithm performance were also analyzed.