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

ABSTRACT

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.

KEYWORDS:

• Carbon emissions
• cost
• profit per unit carbon emissions；genetic algorithms
• cutting parameters
• optimisation model

Acknowledgments

The authors would like to thank Dr. Aihua Huang. This work was supported by the National Natural Science Foundation of China (No.51765010), by the Science Foundation of Guizhou, China ([2015]2035), by the Foundation for the Introduction Talents of Guizhou University, China ([2014]42), and the China Scholarship Council (No.201708525022).

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [No.51765010]; the China Scholarship Council [No.201708525022]; the Science Foundation of Guizhou, China [[2015]2035]; the Foundation for the Introduction Talents of Guizhou University, China [[2014]42].