基于低碳低成本的联轴器工艺参数优化

Modeling and Optimization of Coupling Pro-cess Parameters Based on Low Carbon and Low Cost

摘要: 为了更有效地推动制造业减排，综合考虑机械切削加工过程中碳排放和加工成本的影响因素，提出针对联轴器的工艺参数优化问题。首先建立了切削加工过程中包含电能、刀具和切削液在内的碳排放函数和加工成本优化函数，在此基础上建立了以最小碳排放和最小加工成本为目标的加工工艺参数优化模型；其次，为提高万有引力搜索算法(Gravitational Search Algorithm, GSA)全局搜索能力，将自适应变异触发函数引入算法，同时将聚集度作为进行变异操作评价标准，提出了改进GSA算法，降低算法复杂度。最后，针对某型号的联轴器切削加工工艺，应用改进GSA算法搜索最优解，获取对应的最佳工艺参数。结果表明，采用改进GSA算法对平均碳排放量和加工成本分别降低了10.41%和13.81%，表明该优化方法可行、有效。该研究提出的模型方法和工艺参数优化方法可为数控机床制造选择合理的切削工艺参数提供理论指导。

Abstract: In order to promote the emission reduction of manufacturing industry more effectively, this paper comprehensively considers the influencing factors of carbon emission and processing cost in the mechanical cutting process, establishes the carbon emission function and processing cost optimiza-tion function in the cutting process, including electrical energy, cutting tools and cutting fluid, and on this basis, establishes the optimization model of processing parameters with the goal of mini-mum carbon emission and minimum processing cost; In order to improve the global search ability of Gravitational Search Algorithm (GSA), the adaptive mutation trigger function is introduced into the algorithm, and the aggregation degree is used as the evaluation standard for mutation opera-tion to reduce the complexity of the algorithm. Through an example, the improved GSA algorithm is applied to search the optimal solution and obtain the corresponding optimal process parameters. The results show that the average carbon emissions and processing costs are reduced by 10.41% and 13.81% respectively, which verifies the effectiveness and feasibility of the proposed optimiza-tion method. The model and method can provide theoretical support for selecting reasonable cut-ting parameters in NC machine tool manufacturing.