Abstract

This paper aims to reduce the carbon emission of the manufacturing process and to achieve the low carbon optimization decision of the machining process route. Carbon emission was analyzed from the perspective of material flow, energy flow and environmental flow, and the machining process route carbon efficiency model was established based on the one from per unit cutted-volume. A multi-objective machining process route optimization model was established based on the genetic algorithms (GA), and the minimum processing time (high efficiency) and the optimal carbon efficiency (low carbon) were set as the optimization objectives. An experiment case study was performed on grinding carriage box, and a comparison was given between the optimized process and traditional process. The results indicate the resultant process route from the proposed algorithm, which verifies to reduce the processing time and increase the carbon efficiency.

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