Process parameter optimization in laser cutting of Coir fiber reinforced Epoxy composite - a review

• Published in: Materials today : proceedings Vol. 48; pp. 1021 - 1027
• Main Authors: Singh, Yadvinder, Singh, Jujhar, Sharma, Shubham, Sharma, Abhinav, Singh Chohan, Jasgurpreet
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 2022
• Subjects: Coir Fiber Reinforced Epoxy Composite; Laser cutting; Machinability; Optimization; Taguchi method; Laser cutting; Machinability; Coir Fiber Reinforced Epoxy Composite; Optimization; Taguchi method
• ISSN: 2214-7853; 2214-7853
• DOI: 10.1016/j.matpr.2021.06.344

Composite materials are progressively being employed in the aerospace, automotive, aeronautics, and marine sectors because of their high strength-to-weight ratio. Traditional machining methods have trouble machining composite materials. However, laser cutting provides an alternative quality machining method that can be accomplished by regulating various process variables. A commonly used thermally dependent non-contact advanced machining technique is laser cutting. The efficiency of the laser cutting method is the subject of extensive study. Analytical approaches based on Regression analysis, and Response surface methodology (RSM) are all standard techniques for solving optimization issues in laser cutting utilizing the Taguchi method. The main theories and practices used in the Taguchi method are explored in this article, as well as a summary of the Taguchi method. The paper discusses research study based on the implementation of the Taguchi method for laser cutting process optimization after examining the parameters as well as performance requirements of the laser cutting process and further concluded that most of the performance characteristics studied (kerf taper, and deviation) as well as surface quality was found to be related (surface roughness). In addition, the Taguchi method has only been utilized to increase metallurgical properties (HAZ, Burr inclusion) and production efficiency (MRR). Taguchi method, being a model-free optimization technique, restricts further level interpolation or extrapolation. It was also reported that to address this shortcoming of the Taguchi method, it was combined with response surface methodology to get optimal results. This paper offers a review of the literature's findings and addresses the problems that need to be discussed.