A review on industrial optimization approach in polymer matrix composites manufacturing

Optimization is generally referred to as making the best and most effective use of materials. Optimization plays the most significant role when it comes to the field of research and development. Developing new products needs the best results with optimal time, cost, and resources. Especially in the case of industrial experiments, optimizing materials can save time, money, and manual power. So, it is necessary to have a comprehensive knowledge of various optimizing techniques currently adopted in industry. Hence this review covers the multiple types of polymer matrix composites manufacturing techniques currently adopted in industry, focusing on the manufacturing problems from the optimization perspective. Also, this review addresses some of the optimization approaches that current researchers attempt at every step of their research journey. Generally, optimization has to be coupled with the advancement of the manufacturing process that provides an ideal solution for cost reduction, energy consumption minimization, and improved competitiveness while assuring the end products’ quality. Stochastic algorithms such as Genetic Algorithms and Particle Swarm Optimization are examples of advanced statistical optimization techniques adopted by researchers in solving process parameters. Furthermore, experimental approaches such as the Taguchi Method and Response Surface Methodology for polymer matrix composite manufacturing optimization are also discussed in this review. Last but not least, a brief overview of how 3D printing can benefit the fabrication of polymer matrix composites is mentioned.