Multi-Objective Optimization of Laser Cutting Process on Al 7075 Metal Matrix Composites for Automobile Applications

Abstract

Aluminum is preferred as a material for matrix composites due to its high technical characteristics and low density. Due to its stiffness, specific strength, and wear resistance, MMCs are being widely used in various automotive applications. Due to its high strength and toughness, Al 7075 is a widely used heat treatable aluminum alloy. It is also used in the car and aerospace industries. B4C is a highly attractive reinforcing material due to its thermal and chemical stability. Compared to other reinforcements such as SiC and Al2O3, B4C has a higher hardness and lower density. The proposed technique is based on the L27 orthogonal array design of Taguchi. The laser cutting process was designed to optimize the input parameters of the given process, such as the cutting speed, pulse width, and frequency. The two response parameters, the surface roughness and the MRR, were then analyzed using the ANFIS technique. It was also used to find the optimal set of parameters while dealing with the uncertainty of the data.