Evolutionary Algorithms for Optimization of Drilling Variables for Reduced Thrust Force in Composite Material Drilling
Article Sidebar
Main Article Content
Abstract
This study aims to optimize drilling variables to reduce the thrust force required for drilling composite materials. The optimization process involves using evolutionary algorithms such as particle swarm optimization (PSO) and genetic algorithm (GA) to determine the best combination of drilling parameters, including drill speed, feed rate, and point angle. The objective is to minimize the thrust force required for drilling while maintaining the desired quality of the drilled holes. ANOVA and regression analysis is implemented to discuss the impact of drilling variable on the thrust force. The results demonstrate that the proposed approach is effective in reducing thrust force and improving drilling efficiency. The optimized drilling parameters obtained can be used to enhance the performance of composite material drilling processes. Performance output of both algorithms for optimization of problem is discussed in detail.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
How to Cite
References
Kannan G, Thangaraju R (2022) Recent Progress on Natural Lignocellulosic Fiber Reinforced Polymer Composites: A Review. J Nat Fibers 19:7100–7131. https://doi.org/10.1080/15440478.2021.1944425
Malik K, Ahmad F, Gunister E (2021) Drilling Performance of Natural Fiber Reinforced Polymer Composites: A Review. J Nat Fibers 00:1–19. https://doi.org/10.1080/15440478.2020.1870624
Arputhabalan J, Prabhu S, Palanikumar K, et al (2019) Assay of machining attributes in drilling of natural hybrid fiber reinforced polymer composite. Mater Today Proc 16:1097–1105. https://doi.org/10.1016/j.matpr.2019.05.201
Jayabal S, Natarajan U (2010) Optimization of thrust force, torque, and tool wear in drilling of coir fiber-reinforced composites using Nelder-Mead and genetic algorithm methods. Int J Adv Manuf Technol 51:371–381. https://doi.org/10.1007/s00170-010-2605-7
(2022) Genetic Optimization of Machining Parameters Affecting Thrust Force during Drilling of Pineapple Fib _ Enhanced Reader.pdf
Belaadi A, Boumaaza M, Alshahrani H, Bourchak M (2022) Delamination in drilling of jute / cork ‑ reinforced polymer biosandwich materials: optimization by response surface methodology and genetic algorithm. Int J Adv Manuf Technol 122:2095–2111. https://doi.org/10.1007/s00170-022-10001-z
Lilly Mercy J, Sivashankari P, Sangeetha M, et al (2022) Genetic Optimization of Machining Parameters Affecting Thrust Force during Drilling of Pineapple Fiber Composite Plates-an Experimental Approach. J Nat Fibers 19:1729–1740. https://doi.org/10.1080/15440478.2020.1788484
Feito N, Muñoz-Sánchez A, Díaz-Álvarez A, Miguelez MH (2019) Multi-objective optimization analysis of cutting parameters when drilling composite materials with special geometry drills. Compos Struct 225: https://doi.org/10.1016/J.COMPSTRUCT.2019.111187
Chaudhary V, Gohil PP (2016) Investigations on Drilling of Bidirectional Cotton Polyester Composite. Mater Manuf Process 31:960–968. https://doi.org/10.1080/10426914.2015.1059444