Multi-objective Optimization Method of CFRP Drilling Process Parameters for Power and Drilling Quality

doi:10.3901/JME.2023.11.290

Abstract

Abstract: The proportion of carbon fiber reinforced composites (CFRP) used in high-end manufacturing fields such as aviation and aerospace has increased significantly. The large-scale production of CFRP components has been launched. Although the cost of CFRP can be reduced, problems such as consumption reduction, emission reduction and quality improvement will become increasingly prominent. In order to improve the quality of CFRP components and reduce the energy consumption and carbon emissions during the machining process, a multi-objective optimization study on the machining parameters of the drilling process for CFRP components is carried out. First, a multi-objective optimization model with spindle speed, feed rate and layer laying sequence of composite materials as optimization variables, drilling power during drilling and delamination factor at the orifice of CFRP components as objectives is determined; then, through full factor experiments, using the instrument to collect drilling power and delamination factor data; Furthermore, based on the response surface method, the influence of each machining parameter on the drilling power and delamination factor is analyzed; finally, the multi-objective model is optimized by using polynomial fitting and NSGA-II algorithm. The research results show that the constructed multi-objective optimization model and the proposed optimization method can obtain the optimal parameter combination, and the optimization results can significantly improve the machining quality and drilling power.

Key words: CNC machining system, high-efficiency and low-carbon machining, multi-objective optimization, carbon fiber reinforced composite

CLC Number:

TH166

MA Feng, HUANG Shunhu, LIU Peiji, ZHANG Hua. Multi-objective Optimization Method of CFRP Drilling Process Parameters for Power and Drilling Quality[J]. Journal of Mechanical Engineering, 2023, 59(11): 290-299.

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