A cutting parameter-based model for cost and carbon emission optimisation in a NC turning process

摘要

Cutting parameter selection is significant for process planning which directly affects product quality, production efficiency and cost. However, most literature does not consider both the cost and the carbon emissions as optimisation objectives for process evaluation. This paper presents a method for cutting parameter selection by considering both cost and carbon emissions. First, a metric called profit per unit carbon emissions is proposed with consideration of the carbon emissions and processing cost. The relationships between cutting parameters?carbon emissions and processing cost are analysed. Second, an optimisation model for the parameters used in a turning process is built where the spindle speed, feed rate and cutting depth are taken into account as optimisation variables. Constraints are proposed based on machine parameters and processing quality requirements. A genetic algorithm (GA) is employed to solve the optimisation problem. Both experimental and industrial cases are studied to validate the model. In addition, the impacts of cutting parameters on carbon emissions are discussed.