Sustainable multi-objective optimization of a machining parameter model for multi-pass turning processes

Abstract

In this study, we developed an optimization model for determining the optimal parameters for multi-pass CNC turning processes. The six elements of sustainable manufacturing were considered in this study to derive new insights into multi-pass turning modeling. This paper details the relationship between time and power and considers total noise in terms of the personal health element and cost of quality in terms of the manufacturing cost element. The objective functions for our model include the total energy, surface roughness, total noise, total cost, and total carbon emission. The decision variables for our model include the cutting depth, feed rate, cutting speed, and number of roughing passes. The proposed model was solved using the Gamultiobj algorithm (MATLAB). This algorithm was used to identify a set of non-dominated points on the Pareto front. Additionally, a single optimal solution is identified using the TOPSIS method. There are twelve combinations of multi-objective optimization processes carried out. One of twelve combinations, for the five objective functions, the optimal values were determined as follows: total energy value of 495,965.751 joules, surface roughness of 0.285 μm, average noise of 78.788 dBA, total cost of $288.587, and carbon emission of 337,748.265 kgCO2.

Keywords

• Sustainable manufacturing
• multi-objective optimization
• turning process
• Pareto optimization