Abstract: In order to effectively realize the energy saving and emission reduction of the grinding processes, a multi-layer and multi-objective optimization model of the grinding process plan for cleaner production was proposed. A model of grinding energy consumption and carbon emission was established from the perspective of “three streams (material flow, energy flow and environmental emission flow)” of cleaner production. A multi-layer and multi-objective optimization model targeting grinding energy consumption, grinding carbon emissions and grinding time was established from the routing levels and process parameter levels, and an improved genetic algorithm based on the combination of AHP(analytic hierarchy process) and CRITIC(criteria importance through intercriteria correlation) was proposed for optimization. The grinding processes of a certain bearing ring were tested and verified. Compared with the traditional processing plan, the optimization processing plan obtained through algorithm saves 6.48% machining time, 42.81% energy consumption, and 8.26% carbon emissions at the routing level; and saves 25% grinding time, 18.84% energy consumption and 8.69% carbon emissions at the process parameter level, which verifies the effectiveness of the model and method. Finally, corresponding energy-saving and emission-reduction strategies were proposed based on the above research. 

Key words: grinding, optimization model, energy consumption, carbon emission, cleaner production

摘要： 为了实现磨削过程的节能减排，提出了一种面向清洁生产的磨削工艺方案多层多目标优化模型。从清洁生产“三流（物料流、能量流、环境排放流）”的角度建立了面向清洁生产的磨削能耗与碳排放模型。从工艺路线和工序工艺参数层建立了以磨削能耗、磨削碳排放和磨削时间为目标的多层多目标优化模型，采用基于层次分析法和客观赋权法(CRITIC)法组合赋权的改进遗传算法进行优化求解。以某轴承套圈为研究对象进行磨削工艺实验，结果表明：通过算法优化得到的加工方案相较于传统的加工方案，在工艺层面节约了6.48%的加工时间、降低了42.81%的能耗、减少了8.26%的碳排放；在工序层面缩短了25%的磨削时间、降低了18.84%的能耗、减少了8.69%的碳排放。结果验证了模型和方法的有效性。最后依据上述研究结果提出了相应的节能减排策略。

关键词: 磨削, 优化模型, 能耗, 碳排放, 清洁生产