%0 Journal Article
%T 面向低碳制造的轴类零件磨削加工参数优化<br>Optimization of Grinding Parameters for Axis Parts for Low Carbon Manufacturing
%A 郑阳阳
%A 李仁旺
%J Modeling and Simulation
%P 5090-5102
%@ 2324-870X
%D 2023
%I Hans Publishing
%R 10.12677/MOS.2023.126463
%X 全球变暖问题日益严重，全球各国愈发关注温室效应问题，发展低碳理念已经刻不容缓。我国制造业快速发展的同时对环境产生了较大的影响，其中碳排放量显著增加。因此制造业应积极响应国家双碳政策，降低制造业碳排放。本文从磨削加工中碳排放和加工成本影响因素出发，结合约束条件建立以低碳低成本为目标的轴类零件磨削加工优化模型。在此基础上，选用改进粒子群算法作为优化算法对轴类零件外圆精磨加工多目标优化模型求解最优工艺参数。结果表明，实验磨削加工工艺的碳排放减少了17.3%，加工成本减少了30.7%。本文所建立的模型和工艺参数优化方法可为企业低碳低成本制造提供一种可行方案。<br />
The problem of global warming is becoming increasingly serious, and countries around the world are paying more attention to the greenhouse effect issue. It is urgent to develop a low-carbon con-cept. The rapid development of China’s manufacturing industry has had a significant impact on the environment, with a significant increase in carbon emissions. Therefore, the manufacturing indus-try should actively respond to the national dual carbon policy and reduce its carbon emissions. This article starts from the factors that affect carbon emissions and processing costs in grinding, and combines constraints to establish an optimization model for shaft parts grinding with the goal of low-carbon and low-cost. On this basis, an improved particle swarm optimization algorithm is se-lected as the optimization algorithm to solve the optimal process parameters for the multi-objective optimization model of precision grinding of shaft parts. The results showed that the carbon emis-sions of the experimental processing technology were reduced by 17.3%, and the processing cost was reduced by 30.7%. The model and process parameter optimization method established in this article can provide a feasible solution for low-carbon and low-cost manufacturing in enterprises.
%K 低碳，磨削加工，轴类零件，改进粒子群算法，参数优化<br>Low Carbon
%K Grinding
%K Shaft Parts
%K Improved Particle Swarm Optimization
%K Parameter Optimization
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=74755