Genetic Optimization of Machining Parameters Affecting Thrust Force during Drilling of Pineapple Fiber Composite Plates - an Experimental Approach

• Published in: Journal of natural fibers 2022-05, Vol.19 (5), p.1729-1740
• Main Authors: Mercy, J. Lilly, Sivashankari, P., Sangeetha, M., Kavitha, K.R., Prakash, S.
• Format: Article
• Language: English
• Subjects: Adhesive strength; Biodegradability; Biodegradation; Composite structures; Drilling; drilling parameters; Epoxy resins; Fiber composites; Fiber reinforced polymers; Fibers; Genetic algorithms; genetic optimization; Machining; Mathematical models; Optimization; Orthogonal arrays; Pineapple fiber; Pineapples; polymer composite; Polymer matrix composites; Polymers; Process parameters; Reinforcing fibers; Statistical models; Thrust; 聚合物复合材料; 菠萝纤维; 遗传优化; 钻井参数
• ISSN: 1544-0478; 1544-046X
• DOI: 10.1080/15440478.2020.1788484

Natural fibers replace synthetic reinforcing fibers in polymer composites due to its biodegradability, strength, and satisfactory adhesion to the polymer matrix. Pineapple unidirectional fiber mats were reinforced in epoxy resin to fabricate pineapple fiber reinforced epoxy composite. Drilling experiments were conducted under different conditions of machining by Taguchi L 27 orthogonal array. The thrust force exerted on the composite during drilling was studied and correlated with the machining parameters. Statistical modeling was done to establish the mathematical relationship between the input parameters and output responses. Genetic algorithm was used for optimizing thrust force. It was found that the highest speed, lowest feed, and lowest drill diameter were found to give the minimal thrust force.