Optimization and parametric economic analysis for carbon fiber reinforced plastic composites with Taguchi-present worth method

Main Article Content

Adeyinka Oluwo
Bayo Yemisi Ogunmola
Sunday Ayoola Oke
John Rajan
Swaminathan Jose
Boluvar Lathashankar
Samuel Bolaji Aderibigbe
Samson Oluwaseun Odudare

Abstract

Within the drilling community, an integrated method of the technical and economic parameters is needed to improve profit margins and for sustainable operations. In this article, a novel framework that establishes the economic dimension of the drilling operation for the carbon fiber-reinforced plastic (CFRP) composites is presented by fusing the Taguchi method with the present worth method. The present worth, level, interest rate and the value of the optimal parametric setting at the various levels are integrated. Then the optimal points for variables are identified based on derivatives with response tables developed from the orthogonal array and signal-to-noise ratios with parametric ranking. The optimal parametric setting obtained using the Taguchi method was SP3PA1FR3TF1/TF3, matched against the optimal result of PW(i)SP3PW(i)PA3PW(i)FR3PW(i)TF2 for the present worth derivative with respect to n. The Taguchi method yielded 3000 rpm (speed), 100° (point angle), 500 mm/min (feed rate) and 84.23 N (thrust force). However, the optimal results for the present worth derivative with respect to i were interpreted as 3000 rpm (speed), 135° (point angle), 500 mm/min (feed rate) and 197.35 N (thrust force). Moreover, the optimal results regarding the derivative of present worth with respect to n are 1000 rpm (speed), 135° (point angle), 100 mm/min (feed rate) and 197.35 N (thrust force). In addition, when Oke and Fagbolagun's model was deployed, the positions of the parameters/response with respect to the T-PW method’s evaluation were the thrust force (1st, -40.0460), spindle speed (2nd, -51.0999), point angle (3rd, -50.1034) and feed rate (4th, -50.2274). Thus, the work provides help to process engineers to control their operators and for budget planning purposes.

Downloads

Download data is not yet available.

Article Details

How to Cite
Oluwo, A., Ogunmola, B. Y., Oke, S. A., Rajan, J., Jose, S., Lathashankar, B., Bolaji Aderibigbe, S., & Oluwaseun Odudare, S. (2025). Optimization and parametric economic analysis for carbon fiber reinforced plastic composites with Taguchi-present worth method. Science, Engineering and Health Studies, 19, 25040002. https://doi.org/10.69598/sehs.19.25040002
Section
Engineering

References

Adedeji, W. O., Odusoro, S. I., Adedeji, K. A., Rajan, J., Oke, S. A., Oyetunji, E. O., & Nwankiti, U. S. (2023). An application of data envelopment analysis in the selection of the best response for the drilling of carbon fiber-reinforced plastic composites. International Journal of Industrial Engineering and Engineering Management, 5(1), 1–14. https://doi.org/10.24002/ijieem.v5i1.5792

Akdulum, A., & Kayir, Y. (2023). Modeling and estimation of thrust force, torque, and surface roughness in indexable drilling of AA6061-T651 with Taguchi, ANN, and ANFIS. Sādhanā, 48, Article 143. https://doi.org/10.1007/s12046-023-02209-w

Anand, G., Alagumurthi, N., Palanikumar, K., Venkateshwaran, N., & Elansezhain, R. (2018). Influence of drilling process parameters on hybrid vinyl ester composite. Materials and Manufacturing Processes, 33(12), 1299–1305. https://doi.org/10.1080/10426914.2018.1453161

Ateeq, M. (2023). A state of art review on recycling and remanufacturing of the carbon fiber from carbon fiber polymer composite. Composites Part C: Open Access, 12, Article 100412. https://doi.org/10.1016/j.jcomc.2023.100412

Ateeq, M., Shafique, M., Azam, A., & Rafiq, M. (2023). A review of 3D printing of the recycled carbon fiber reinforced polymer composites: Processing, potential, and perspectives. Journal of Materials Research and Technology, 26, 2291–2309. https://doi.org/10.1016/j.jmrt.2023.07.171

Bosco, M., Palanikumar, K., Prasad, B. D., & Velayudham, A., (2015). Analysis on influence of machining parameters on thrust force in drilling GFRP-armor steel sandwich composites. Journal of Composite Materials, 49(13), 1539–1551. https://doi.org/10.1177/0021998314536068

Deng, Z., Fan, J., Huang, Z., & Yang, X. (2023). Efficient recycling of carbon fiber from carbon fiber reinforced composite and reuse as high performance electromagnetic shielding materials with superior mechanical strength. Polymer Testing, 125, Article 108110. https://doi.org/10.1016/j.polymertesting.2023.108110

Jadoun, R. S., Kumar, P., Mishra, B. K., & Mehta, R. C. S. (2006). Optimization of process parameters for ultrasonic drilling of advanced engineering ceramics using the Taguchi approach. Engineering Optimization, 38(7), 771–787. https://doi.org/10.1080/03052150600733962

Jayaprakash, V., Sivasaravanan, S., Bupesh Raja, V. K., Anish, M., Raman, N., & Laxman, N. (2020). Optimization of drilling parameters of epoxy/rice husk composite material. Materials Today: Proceedings, 21(1), 104–107. https://doi.org/10.1016/j.matpr.2019.05.370

Juliyana, S. J., & Prakash, J. U. (2022). Optimization of burr height in drilling of aluminium matrix composites (LM5/ZrO2) using Taguchi technique. Advances in Materials and Processing Technologies, 8(1), 417–426. https://doi.org/10.1080/2374068X.2020.1814984

Kaviarasan, V., Venkatesan, R., & Natarajan, E. (2019). Prediction of surface quality and optimization of process parameters in drilling of Delrin using neural network. Progress in Rubber, Plastics and Recycling Technology, 35(3), 149–169. https://doi.org/10.1177/1477760619855078

Krishnamoorthy, A. (2011). Some studies on modelling and optimization in drilling carbon fiber reinforced plastic composites [Unpublished doctoral dissertation]. Anna University.

Manickam, C., & Parthipan, N. (2020). Optimization of drilling parameters in AISI SS317L stainless steel material using Taguchi methodology. Materials Today: Proceedings, 21(1), 837–842. https://doi.org/10.1016/j.matpr.2019.07.589

Mercy, J. L., Sivashankari, P., Sangeetha, M., Kavitha, K. R., & Prakash S. (2022). Genetic optimization of machining parameters affecting thrust force during drilling of pineapple fiber composite plates – An experimental approach. Journal of Natural Fibers, 19(5), 1729–1740. http://doi.org/10.1080/15440478.2020.1788484

Neseli, S. (2014). Optimization of process parameters with minimum thrust force and torque in drilling operation using Taguchi method. Advances in Mechanical Engineering, 6, Article 925382. https://doi.org/10.1155/2014/925382

Odusoro, S. I., & Oke, S. A. (2021a). Factor selection in drilling unidirectional carbon fiber reinforced plastic composite plates with the HSS drill bit using analytic hierarchy process. International Journal of Industrial Engineering and Engineering Management, 3(1), 1–15. http://doi.org/10.24002/ijieem.v3i1.4414

Odusoro, S. I., & Oke, S. A. (2021b). A fuzzy analytic hierarchical method to reduce imprecision and uncertainty in drilling operation’s factor selection process for unidirectional carbon fibre reinforced plastic composite plates. International Journal of Industrial Engineering and Engineering Management, 3(1), 17–26. https://doi.org/10.24002/ijieem.v3i1.4447

Odusoro, S. I., & Oke, S. A. (2021c). An application of the PROMETHEE method to select the best response for carbon fibre reinforced plastic drilling in machining operations. International Journal of Industrial Engineering and Engineering Management, 3(2), 77–90. https://doi.org/10.24002/ijieem.v3i2.5458

Oji, B. C., & Oke, S. A. (2021). Optimisation of bottling process using "hard" total quality management elements. The TQM Journal, 33(2), 473–502. https://doi.org/10.1108/TQM-03-2020-0057

Okponyia, K. O., & Oke, S. A. (2020). Exploring aluminum alloy metal matrix composites in EDM using coupled factor-level-present worth analysis and fuzzy analytic hierarchy process. International Journal of Industrial Engineering and Engineering Management, 2(1), 25–44. http://doi.org/10.24002/ijieem.v2i1.3781

Oke, S. A., & Fagbolagun, I. O. (2020). Optimization of packaging process parameters using combined Taguchi method-present worth method/inflationary factor validated. International Journal of Industrial Engineering and Engineering Management, 2(2), 1–16. http://doi.org/10.24002/ijieem.v2i2.3785

Padhee, S., Pani, S., & Mahapatra, S. S. (2012). A parametric study on laser drilling of Al/SiCp metal-matrix composite. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 226(1), 76–91. http://doi.org/10.1177/0954405411415939

Park, C. S. (2013). Fundamentals of engineering economics. Pearson.

Rai, A. K., Sivasamy, A., Hossain, I., Kannan, S., Seikh, A. H., & Iqbal, A. (2023). Optimization of machining parameters in drilling of aluminium matrix composite (Al7050-12 wt% ZrO2) using Taguchi technique. The International Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-023-11815-1

Rajmohan, T., Palanikumar, K., & Kathirvel, M. (2012). Optimization of machining parameters in drilling hybrid aluminium metal matrix composites. Transactions of Nonferrous Metals Society of China, 22(6), 1286–1297. https://doi.org/10.1016/S1003-6326(11)61317-4

Senthil Kumar, P., Satishkumar, S., & Nandakumar, C. (2023). Optimization of drilling process parameters on customized alkali-silane treated pineapple fiber-epoxy composite using Taguchi-grey relational approach. Biomass Conversion and Biorefinery. https://doi.org/10.1007/s13399-023-05176-8

Shi, X., Yu, X., & Esmaeili-Falak, M. (2023). Improved arithmetic optimization algorithm and its application to carbon fiber reinforced polymer-steel bond strength estimation. Composite Structures, 306, Article 116599. https://doi.org/10.1016/j.compstruct.2022.116599

Shunmugesh, K., & Pratheesh, A. (2020). Taguchi grey relational analysis based optimization of micro-drilling parameters on carbon fiber reinforced plastics. Materials Today: Proceedings, 24(3), 1994–2003. https://doi.org/10.1016/j.matpr.2020.03.628

Singh, S., Singh, I., & Dvivedi A. (2013). Multi objective optimization in drilling of Al6063/10% SiC metal matrix composite based on grey relational analysis. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 227(12), 1767–1776. https://doi.org/10.1177/0954405413494383

Srinivasan, T., Palanikumar, K., Rajagopal, K., & Latha, B. (2017). Optimization of delamination factor in drilling GFR–polypropylene composites. Materials and Manufacturing Processes, 32(2), 226–233. https://doi.org/10.1080/10426914.2016.1151038

Vinayagamoorthy, R. (2017). Parametric optimization studies on drilling of sandwich composites using the Box–Behnken design. Materials and Manufacturing Processes, 32(6), 645–653. https://doi.org/10.1080/10426914.2016.1232811

Zhang, L., Liu, W., Jiang, H., Zhang, X., Shang, Y., Jiang, C., Wang, X., Qi, G., Li, B., Xu, P., & Qiao, J. (2023). Upcycling of carbon fiber-reinforced polymer composites. Composites Science and Technology, 231, Article 109824. https://doi.org/10.1016/j.compscitech.2022.109824