Optimizing to Minimize Thrust Force in Drilling Carbon Fiber Reinforced Plastic Composites with HSS Drill Bit Using Taguchi-Pareto Particle Swarm Optimization Method
DOI:
https://doi.org/10.24002/ijieem.v4i1.5081Abstract
In this study, a robust method of Taguchi-Pareto (TP) coupled with particle swarm optimization (PSO) is proposed to minimize the thrust force in the drilling of carbon fiber reinforced plastic composites. Taguchi-Pareto is used against Taguchi (T) to emphasize the prioritization scheme essential for deploying the resources to parameters. Besides, and differently from earlier studies, particle swarm optimization is integrated with the Taguchi-Pareto to optimize the structure further. A further result is placed in the fitness function of the PSO to cultivate the velocity and position vectors. In the TP-PSO, the Pareto scheme is introduced to prioritize the factors based on the 80-20-rule. The Taguchi method yielded a feasible optimal parametric setting. The TPSO and TPPSO attained minimum thrust force in four and seven iterations, respectively. Furthermore, the PSO, TPPSO, and TPSO hold the first, second, and third positions, respectively. Results suggest that the proposed robust TPPSO offers an important indicator of optimization of the thrust force while drilling carbon fiber reinforced plastic composites using existing datasets. The usefulness of this effort is to help drilling operators and process engineers undertake energy-saving decisions.
References
Abhishek, K., Datta, S., & Mahapatra, S.S. (2016). Multi-objective optimization in the drilling of CFRP (polyester) composites: Application of a fuzzy embedded harmony search (HS) algorithm. Measurement, 77, 222-239.
Agwa, M.A., & Megahed, A.A. (2019). New nonlinear regression modeling and multi-objective optimization of cutting parameters in drilling of GFRE composites to minimize delamination. Polymer Testing, 75, 92-204.
Baraheni, M., & Amini, S. (2019). Comprehensive optimization of process parameters in rotary ultrasonic drilling of CFRP aimed at minimizing delamination. International Journal of Lightweight Materials and Manufacture, 2(4), 379-387.
Bhat, R., Mohan, N., Rohit, S.S., Agarwal, A., Kamal, A.R., & Subudhi, A. (2019). Multi-response optimization of the thrust force, torque and surface roughness in drilling of glass fiber reinforced polyester composite using GRA-RSM. Materials Today: Proceedings, 19(2), 333-338.
Caggiano, A. (2018). Machining of fiber reinforced plastic composite materials. Materials (Based), 11(3), 442.
Firmansyah, M.G., Mulyadi, Y., Hasbullah, H., & Saripudin A. (2020). Optimal distributed generation placement to reduce power loss using particle swarm optimization method. IOP. Conference Series: Materials Science and Engineering, 850, Article 012010.
Gokulkumar, S., Thyla, P.R., Ramnath, R.A., & Karthi, N. (2020). Acoustical analysis and drilling process optimization of camellia sinensis/ananascomosus/ GFRP/epoxy composites by TOPSIS for indoor applications. Journal of Natural Fibers, 18(2), 1-18.
Gowda, B.M.U., Ravindra, H.V., Prakash, G.V.N., Nishanth, P., & Ugrasen G. (2015). Optimization of process parameters in drilling of epoxy Si3N4 composite material. Materials Today: Proceedings, 2(4-5), 2852-2861.
Krishnamoorthy, A. (2011). Some studies on modeling and optimization in drilling carbon fiber reinforced plastic composites. Ph.D. thesis, Faculty of Mechanical Engineering, Anna University, Chennai, India
Krishnamoorthy, A., Boopathy, S.R., Palanikumar, K., & Davim, J.P. (2012). Application of grey fuzzy logic for the optimization of drilling parameters for CFRP composites with multiple performance characteristics. Measurement, 45(5), 1286-1296.
Kilickap, E. (2010). Optimization of cutting parameters on delamination based on Taguchi method during drilling of GFRP composite. Expert Systems with Applications, 37(8), 6116-6122.
Kulkarni, S., & Ramachandran, M. (2018). Multicriteria selection of optimal CFRP composites drilling process parameters REST. Journal on Emerging Trends in Modelling and Manufacturing, 4(4), 102-106.
Lopes, R., Silva, F.J.G., Godina, R., Campilho, R., Dieguez, T., Ferreira, L.P., & Baptista, A. (2020). Reducing scrap and improving an air conditioning pipe production line. Procedia Manufacturing, 51, 1410-1415.
Mahapatra, S.S., & Chaturvedi, V. (2009). Modeling and analysis of abrasive wear performance of composites using Taguchi approach. International Journal of Engineering, Science and Technology, 1(1), 123-135.
Mariajayaprakash, A., Senthivelan, J., & Vivekananthan, K.P. (2013). Optimization of shock absorber process parameters using failure mode and effect analysis and genetic algorithm. Journal of Industrial Engineering International, 9(18), 1-10.
Mercy, J.L., Siva Shankari, P., Sangeetha, M., Kavitha, K.R., & Prakash, S. (2020). Genetic optimization of machining parameters affecting thrust force during drilling of pineapple fiber composite plates – An experimental approach. Journal of Natural Fibres, 19, 1-12.
Nasir, A.A.A., Azmi, A.I., & Khalil, A.N.M. (2015). Measurement and optimization of residual tensile strength and delamination damage of drilled flax fiber reinforced composites. Measurement, 75, 298-307.
Odusoro, S.I., & Oke, S.A. (2021). Factor selection in drilling fiber reinforced plastic composites with the HSS drill bit using analytic hierarchy process. International Journal of Industrial Engineering and Engineering Management, 3(1), 1-15.
Prasad, K.S., & Chaitany, G. (2021). Optimization of process parameters on surface roughness during drilling of GFRP composites using Taguchi technique. Materials Today: Proceedings, 39(4), 1553-1558.
Priti, Singh, M., & Singh, S. (2021). Micro machining of CFRP composites using electrochemical; discharge machining and process optimization by entropy-VIKOR method. Materials Today: Proceedings, 44(1), 260-265.
Rajendran, A., Paul, B., & Shunmugesh, K. (2021). Optimization of milling parameters in jute fiber reinforced epoxy composite using GRA. Materials Today: Proceedings, 43(6), 3951-3955.
Saravanan, M., Ramalingam, D., Manikandan, G., & Kaarthikeyen, R.R. (2012). Multi-objective optimization of drilling parameters using genetic algorithm. Procedia Engineering, 38, 197-207.
Shokrani, A., Leafe, H., & Newman, S.T. (2019). Cryogenic drilling of carbon fiber reinforced plastic with tool consideration. Procedia CIRP, 85, 55-60.
Soepangkat, B.O.P., Norcahyo, R., Effendi, M.K., & Pramujati, B. (2020). Multi-response optimization of carbon fiber reinforced polymer (CFRP) drilling using back propagation neural network-particle swarm optimization (BPNN-PSO). Engineering Science and Technology: an International Journal, 23(3), 700-713.
Tran, Q.P., Diem-My. T., & Huang S.C. (2020a). Optimization of CFRP drilling process with multi-criteria using TGRA, 2020 IEEE Eurasia Conference on IoT, Communication an Engineering, 23-25 Oct. 2020.
Tran, Q.P., Nguyen, V.N., & Huang, S.C. (2020b). Drilling process on CFRP: Multicriteria decision making with entropy weight using grey-TOPSIS method. Applied Science, 10(20), Article 7207.
Wang, Q., & Jia, X. (2020). Multi-objective optimization of CFRP drilling parameters with a hybrid method integrating the ANN, NSGA-II and fuzzy C-means. Composite Structures, 235, Article 111803.
Xu, J., Lin, T., Davim, P., Chen, M., & El-Mansori, M. (2021). Wear behavior of special tools in the drilling of CFRP composite laminates. Wear, 476, Article 203738.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 International Journal of Industrial Engineering and Engineering Management
This work is licensed under a Creative Commons Attribution 4.0 International License.
The copyright of the received article shall be assigned to the journal as the publisher of the journal. The intended copyright includes the right to publish the article in various forms (including reprints). The journal maintains the publishing rights to the published articles.
This work is licensed under a Creative Commons Attribution 4.0 International License
