Welding parameters and sequences integrated decision-making considering carbon emission and processing time for multi-characteristic laser welding cell

Abstract

Welding parameters and sequences significantly impact the carbon emission and processing time for laser welding cells. Considering the multi-characteristic of the laser welding cell, achieving integrated decision-making on welding parameters and sequences for laser welding cells remains the challenge. To tackle the gap, this research carries out the welding parameters and sequences integrated decision-making considering carbon emission and processing time for multi-characteristic laser welding cell. Firstly, the 6 M characteristics (multi-source, multi-device, multi-state, multi-feature, multi-stage, and multi-sequence) of the laser welding cell are proposed for revealing the time-series coupling and dynamics of the carbon emission. Then, an integrated decision-making model of welding parameters and sequences for laser welding cell is proposed for minimizing carbon emission and processing time. To obtain the optimal solution, a two-layer solving algorithm combined with the state compression dynamic programming (SCDP) and multi-objective marine predator algorithm (MOMPA) is developed, and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is employed for decision-making on solution set. Finally, the case study of one laser welding cell for aluminum alloy body-in-white is performed for demonstrating the reliability and effectiveness of the integrated decision-making model and solving method, and the carbon-reduction and time-saving potential of the laser welding cell is analyzed.