Advancements in metaheuristic optimization techniques for laser beam cutting of FRP composites: A review

Abstract

Laser beam cutting is a crucial processing method for fiber-reinforced polymer (FRP) composites because it offers precision and minimizes damage like delamination, which is necessary to maintain material integrity. This research explores the use of metaheuristic optimization techniques such as ant colony optimization, particle swarm optimization, and genetic algorithms to enhance the laser cutting performance of fiber-reinforced polymer (FRP) composites. These techniques have been shown their effectiveness with regard to changing some important variables and the result in comparing dicing rate and cutting efficiency. This paper attempts to familiarize the researchers and the readers with the fruitful research experiments carried out to demonstrate the efficacy of using metaheuristics to overcome these challenges of fibre reinforced polymer laser cutting. It brings out the fact that many decent experiments which integrate different strategies of optimizing the field will likely achieve this. This work demonstrates how it is very necessary to supply additional research to build up more sophisticated optimization models to be capable to use without any problems for different types of fiber-reinforced composites and the laser cutting technology requirements.