Research Article
BibTex RIS Cite

Optimization of turning parameters to minimize surface roughness and tool wear in carbon fiber and glass fiber composite rods

Year 2025, Volume: 9 Issue: 3, 177 - 190, 25.12.2025
https://doi.org/10.35860/iarej.1744062

Abstract

The objective of this research is to optimize the cutting parameters for reduced surface roughness and tool wear in turning carbon fiber (CFRP) and glass fiber (GFRP) composite rods. Experiments were conducted under dry machining with a Taguchi L8 orthogonal array, and effects of cutting speed, feed rate, depth of cut, together with coated cutting insert were studied. Taguchi analysis as well as regression models and desirability function approach were utilized in assessing the impact of parameters on output such as average surface roughness (Ra), tool wear, including cutting time. The findings revealed that different optimum parameter combinations for CFRP and GFRP; for surface roughness in CFRP, coated tools with 120 m/min cutting speed, 0.2 mm/rev feed rate and 0.5 mm depth of cut provided the lowest surface roughness (2.240 µm), while in GFRP, coated tools with 150 m/min cutting speed, 0.2 mm/rev feed rate and 0.5 mm depth of cut provided the lowest surface roughness (3.557 µm). For tool wear, uncoated tools with 150 m/min, 0.2 mm/rev and 0.8 mm in CFRP (22 µm) and uncoated tools with 60 m/min, 0.2 mm/rev and 0.8 mm in GFRP (25 µm) gave optimum results. Moreover, the seventh experiment (150 m/min, 0.2 mm/rev, 0.8 mm, uncoated) presented the optimum balance with low surface roughness, tool wear and cutting time. This work showed that CVD TiCN+Al₂O₃ coating type was inadequate against the abrasive nature of composite materials and was not suitable due to problems such as peeling style deformation. Results were obtained that GFRP has higher surface roughness compared to CFRP, supporting the hypothesis of fiber pull-out tendency of glass fibers and low thermal conductivity stated in previous literature. The study aims to provide a practical guide to improve the efficiency and quality of processing these composites in industrial applications.

Project Number

TÜBİTAK 1919B012327215

Thanks

The authors acknowledge the financial support provided by Scientific and Technological Research Council of Türkiye (TÜBİTAK) through the project number 1919B012327215.

References

  • 1. Bang, K. G., Design of carbon fiber composite shafts for high speed air spindles. Composite Structures, 2002. 55(2): p. 247-259.
  • 2. Prenleloup, A., Gmür, T., Botsis, J., Papailiou, K.O., Obrist, K. and Bonhôte, P., Acoustic emission inspection and analysis of crimped metal-composite joints subjected to bending. In Proc 4th Int Conf NDT. 2007: p. 11-14.
  • 3. Rob, S. A. and Srivastava, A. K., Turning of carbon fiber reinforced polymer (CFRP) composites: process modeling and optimization using Taguchi analysis and multi-objective genetic algorithm. Manufacturing Letters, 2022. 33: p. 29-40.
  • 4. Ergene, B., Bolat, C., Karakilinc, U. and Irez, A.B., A comprehensive investigation of drilling performance of anisotropic stacked glass‐carbon fiber reinforced hybrid laminate composites. Polymer Composites, 2023. 44(5): p. 2656-2670.
  • 5. O'Donnell, J. and Chalivendra, V., Multi-functional glass/carbon fibers hybrid inter/intra laminated composites. Composites Part C, 2021. 4: p. 100121.
  • 6. Rajasekaran, T., Palanikumar, K. and Vinayagam, B. K., Experimental investigation and analysis in turning of CFRP composites. Journal of Composite Materials, 2012. 46(7): p. 809-821.
  • 7. Abhishek, K., Datta, S., Masanta, M. and Mahapatra, S.S., Fuzzy embedded imperialist competitive algorithm (ICA) for multi-response optimization during machining of CFRP (Epoxy) composites. In 2017 International Conference on Advances in Mechanical, Industrial, Automation and Management Systems (AMIAMS). 2017: IEEE, p. 100-103.
  • 8. Ferreira, J. R., Coppini, N. L. and Miranda, G. W. A., Machining optimisation in carbon fibre reinforced composite materials. Journal of Materials Processing Technology, 1999. 92: p. 135-140.
  • 9. Rajasekaran, T., Palanikumar, K. and Vinayagam, B. K., Turning CFRP composites with ceramic tool for surface roughness analysis. Procedia Engineering, 2012. 38: p. 2922-2929.
  • 10. Rajasekaran, T., Palanikumar, K. and Arunachalam, S., Investigation on the turning parameters for surface roughness using Taguchi analysis. Procedia Engineering, 2013. 51: p. 781-790.
  • 11. Sauer, K., Hertel, M., Fickert, S., Witt, M. and Putz, M., Cutting parameter study of CFRP machining by turning and turn-milling. Procedia CIRP, 2020. 88: p. 457-461.
  • 12. Abhishek, K., Kumar, V.R., Datta, S. and Mahapatra, S.S., Application of JAYA algorithm for the optimization of machining performance characteristics during the turning of CFRP (epoxy) composites: comparison with TLBO, GA, and ICA. Engineering with Computers, 2017. 33: p. 457-475.
  • 13. Kumar, K. V. and Sait, A. N., Modelling and optimisation of machining parameters for composite pipes using artificial neural network and genetic algorithm. International Journal on Interactive Design and Manufacturing (IJIDeM), 2017. 11(2): p. 435-443.
  • 14. Abhishek, K., Datta, S. and Mahapatra, S. S., Optimization of MRR, surface roughness, and maximum tool-tip temperature during machining of CFRP composites. Materials Today: Proceedings, 2017. 4(2): p. 2761-2770.
  • 15. Kılıçkap, E., Çelik, Y. H. and Yardımeden, A., Karbon elyaf takviyeli plastik kompozitlerin tornalanmasında yüzey pürüzlülüğü ve takım aşınmasına etki eden parametrelerin araştırılması. Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi, 2017. 8(1): p. 175-180.
  • 16. Khairusshima, M. N. and Sharifah, I. S. S., Study on tool wear during milling CFRP under dry and chilled air machining. Procedia Engineering, 2017. 184: p. 506-517.
  • 17. Abd Halim, N. F. H., Ascroft, H. and Barnes, S., Analysis of tool wear, cutting force, surface roughness and machining temperature during finishing operation of ultrasonic assisted milling (UAM) of carbon fibre reinforced plastic (CFRP). Procedia Engineering, 2017. 184: p. 185-191.
  • 18. Wu, W., Li, S., Qin, X., Fu, G., Bao, Z., Li, H. and Zhao, Q., Tool wear influence on surface roughness, burrs and cracks in milling unidirectional carbon fiber reinforced plastics (UDCFRP). Journal of Materials Research and Technology, 2024. 30: p. 3052-3065.
  • 19. Ozkan, D., Panjan, P., Gok, M.S. and Karaoglanli, A.C., Experimental study on tool wear and delamination in milling CFRPs with TiAlN-and TiN-coated tools. Coatings, 2020. 10(7): p. 623.
  • 20. Li, B., Lu, Z., Jin, X. and Zhao, L., Tool wear prediction in milling CFRP with different fiber orientations based on multi-channel 1DCNN-LSTM. Journal of Intelligent Manufacturing, 2024. 35(6): p. 2547-2566.
  • 21. Geier, N. and Pereszlai, C., Analysis of characteristics of surface roughness of machined CFRP composites. Periodica Polytechnica Mechanical Engineering, 2020. 64(1): p. 67-80.
  • 22. Duboust, N., Watson, M., Marshall, M., O’Donnel, G.E. and Kerrigan, K., Towards intelligent CFRP composite machining: Surface analysis methods and statistical data analysis of machined fibre laminate surfaces. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2021. 235(10): p. 1602-1617.
  • 23. Kuo, C., Liu, J., Chang, T. and Ko, S., The effects of cutting conditions and tool geometry on mechanics, tool wear and machined surface integrity when routing CFRP composites. Journal of Manufacturing Processes, 2021. 64: p. 113-129.
  • 24. Çelik, Y. H. and Türkan, C., Investigation of mechanical characteristics of GFRP composites produced from chopped glass fiber and application of taguchi methods to turning operations. SN Applied Sciences, 2020. 2(5): p. 849.
  • 25. Raveendran, P. and Marimuthu, P., Multi-response optimization of turning parameters for machining glass fiber–reinforced plastic composite rod. Advances in Mechanical Engineering, 2015. 7(12): p. 1687814015620109.
  • 26. Kumar, S., Meenu, and Satsangi, P. S., Multiple-response optimization of turning machining by the taguchi method and the utility concept using uni-directional glass fiber-reinforced plastic composite and carbide (k10) cutting tool. Journal of Mechanical Science and Technology, 2013. 27: p. 2829-2837.
  • 27. Kumar, S., Optimization of the surface roughness and material removal rate in turning of unidirectional glass fiber reinforced plastics using the fuzzy-grey relational technique. Indian Journal of Engineering & Materials Sciences, 2019. 26(1).
  • 28. Equbal, A., Shamim, M., Badruddin, I.A., Equbal, M.I., Sood, A.K., Nik Ghazali, N.N. and Khan, Z.A., Application of the combined ANN and GA for multi-response optimization of cutting parameters for the turning of glass fiber-reinforced polymer composites. Mathematics, 2020. 8(6): p. 947.
  • 29. Hussain, S. A., Pandurangadu, V. and Kumar, K. P., Optimization of surface roughness in turning of GFRP composites using genetic algorithm. International Journal of Engineering, Science and Technology, 2014. 6(1): p. 49-57.
  • 30. Kini, M. V. and Chincholkar, A. M., Effect of machining parameters on surface roughness and material removal rate in finish turning of ±30 glass fibre reinforced polymer pipes. Materials & Design, 2010. 31(7): p. 3590-3598.
  • 31. Palanikumar, K. and Davim, J. P., Mathematical model to predict tool wear on the machining of glass fibre reinforced plastic composites. Materials & Design, 2007. 28(7): p. 2008-2014.
  • 32. Palanikumar, K. and Davim, J. P., Assessment of some factors influencing tool wear on the machining of glass fibre-reinforced plastics by coated cemented carbide tools. Journal of Materials Processing Technology, 2009. 209(1): p. 511-519.
  • 33. Sun, M., Guo, K., Sivalingam, V., Sun, J., Li, D. and Huang, T., Understanding the tool wear mechanism during robotic milling of glass fibre reinforced plastic. Tribology International, 2024. 195: p. 109648.
  • 34. Azmi, A. I., Monitoring of tool wear using measured machining forces and neuro-fuzzy modelling approaches during machining of GFRP composites. Advances in Engineering Software, 2015. 82: p. 53-64.
  • 35. Kuo, C., Chen, C., Jiang, S. and Chen, Y., Effects of the tool geometry, cutting and ultrasonic vibration parameters on the cutting forces, tool wear, machined surface integrity and subsurface damages in routing of glass-fibre-reinforced honeycomb cores. Journal of Manufacturing Processes, 2023. 104: p. 59-75.
  • 36. Khan, M. A. and Kumar, A. S., Machinability of glass fibre reinforced plastic (GFRP) composite using alumina-based ceramic cutting tools. Journal of Manufacturing Processes, 2011. 13(1): p. 67-73.
  • 37. Bílek, O., Řezníček, M., Matras, A., Solařík, T. and Macků, L., An Experimental Investigation into Trochoidal Milling for High-Quality GFRP Machining. Materials, 2025. 18(7): p. 1669.
  • 38. Kaw, A. K., Mechanics of Composite Materials (2nd ed.). 2006, USA: CRC Taylor & Francis.
  • 39. Nian, C. Y., Yang, W. H. and Tarng, Y. S., Optimization of turning operations with multiple performance characteristics. Journal of Materials Processing Technology, 1999. 95(1-3): p. 90-96.
  • 40. Pereira, A.C., Monteiro, S.N., da Silva, L.R.R., Binali, R., Kuntoğlu, M., Machado, A.R. and Pimenov, D.Y., Machinability and surface integrity of glass fiber reinforced plastic composite: A review. Journal of Materials Research and Technology, 2025. 35: p. 6446–6467.
  • 41. Khashaba, U.A., Abd-Elwahed, M.S., Najjar, I., Melaibari, A., Ahmed, K.I., Zitoune, R. and Eltaher, M.A., Heat-affected zone and mechanical analysis of GFRP composites with different thicknesses in drilling processes. Polymers, 2021. 13(14): p. 2246.
  • 42. Slamani, M. and Chatelain, J.F., A review on the machining of polymer composites reinforced with carbon (CFRP), glass (GFRP), and natural fibers (NFRP). Discover Mechanical Engineering, 2023. 2(1): p. 4.
  • 43. Karataş, M. A. and Gökkaya, H., A review on machinability of carbon fiber reinforced polymer (CFRP) and glass fiber reinforced polymer (GFRP) composite materials. Defence Technology, 2018. 14(4): p. 318-326.
  • 44. Klein, R.F., Hoffmann, N., Souza, A.J., Rebelo, F.J. and Amorim, H.J., Optimization of cutting parameters for finish end milling CFRP under vortex-cooled compressed air. Materials Research, 2021. 24(Suppl 2): p. e20220231.
  • 45. Mansour, G., Kyratsis, P., Korlos, A. and Tzetzis, D., Investigation into the effect of cutting conditions in turning on the surface properties of filament winding GFRP pipe rings. Machines, 2021. 9(1): p. 16.
  • 46. Bolat, Ç., Karakılınç, U., Yalçın, B., Öz, Y., Yavaş, Ç., Ergene, B., Ercetin, A. and Akkoyun, F., Effect of drilling parameters and tool geometry on the thrust force and surface roughness of aerospace grade laminate composites. Micromachines, 2023. 14(7): p. 1427.
  • 47. Li, M., Soo, S.L., Aspinwall, D.K., Pearson, D. and Leahy, W., Study on tool wear and workpiece surface integrity following drilling of CFRP laminates with variable feed rate strategy. Procedia CIRP, 2018. 71: p. 407-412.
  • 48. Lewis, C. D., Industrial and Business Forecasting Methods: A Practical Guide to Exponential Smoothing and Curve Fitting. 1982, UK: Butterworth Scientific.
  • 49. Kroisová, D., Dvořáčková, Š., Knap, A. and Knápek, T., Destruction of carbon and glass fibers during chip machining of composite systems. Polymers, 2023. 15(13): p. 2888.
  • 50. Ciecieląg, K., Machinability measurements in milling and recurrence analysis of thin-walled elements made of polymer composites. Materials, 2023. 16(13): p. 4825.
There are 50 citations in total.

Details

Primary Language English
Subjects Composite and Hybrid Materials, Manufacturing Processes and Technologies (Excl. Textiles), Machine Tools
Journal Section Research Article
Authors

Kemal Cengiz 0009-0002-0993-454X

Sinan Kesriklioğlu 0000-0002-2914-808X

Project Number TÜBİTAK 1919B012327215
Submission Date July 17, 2025
Acceptance Date November 6, 2025
Publication Date December 25, 2025
Published in Issue Year 2025 Volume: 9 Issue: 3

Cite

APA Cengiz, K., & Kesriklioğlu, S. (2025). Optimization of turning parameters to minimize surface roughness and tool wear in carbon fiber and glass fiber composite rods. International Advanced Researches and Engineering Journal, 9(3), 177-190. https://doi.org/10.35860/iarej.1744062
AMA Cengiz K, Kesriklioğlu S. Optimization of turning parameters to minimize surface roughness and tool wear in carbon fiber and glass fiber composite rods. Int. Adv. Res. Eng. J. December 2025;9(3):177-190. doi:10.35860/iarej.1744062
Chicago Cengiz, Kemal, and Sinan Kesriklioğlu. “Optimization of Turning Parameters to Minimize Surface Roughness and Tool Wear in Carbon Fiber and Glass Fiber Composite Rods”. International Advanced Researches and Engineering Journal 9, no. 3 (December 2025): 177-90. https://doi.org/10.35860/iarej.1744062.
EndNote Cengiz K, Kesriklioğlu S (December 1, 2025) Optimization of turning parameters to minimize surface roughness and tool wear in carbon fiber and glass fiber composite rods. International Advanced Researches and Engineering Journal 9 3 177–190.
IEEE K. Cengiz and S. Kesriklioğlu, “Optimization of turning parameters to minimize surface roughness and tool wear in carbon fiber and glass fiber composite rods”, Int. Adv. Res. Eng. J., vol. 9, no. 3, pp. 177–190, 2025, doi: 10.35860/iarej.1744062.
ISNAD Cengiz, Kemal - Kesriklioğlu, Sinan. “Optimization of Turning Parameters to Minimize Surface Roughness and Tool Wear in Carbon Fiber and Glass Fiber Composite Rods”. International Advanced Researches and Engineering Journal 9/3 (December2025), 177-190. https://doi.org/10.35860/iarej.1744062.
JAMA Cengiz K, Kesriklioğlu S. Optimization of turning parameters to minimize surface roughness and tool wear in carbon fiber and glass fiber composite rods. Int. Adv. Res. Eng. J. 2025;9:177–190.
MLA Cengiz, Kemal and Sinan Kesriklioğlu. “Optimization of Turning Parameters to Minimize Surface Roughness and Tool Wear in Carbon Fiber and Glass Fiber Composite Rods”. International Advanced Researches and Engineering Journal, vol. 9, no. 3, 2025, pp. 177-90, doi:10.35860/iarej.1744062.
Vancouver Cengiz K, Kesriklioğlu S. Optimization of turning parameters to minimize surface roughness and tool wear in carbon fiber and glass fiber composite rods. Int. Adv. Res. Eng. J. 2025;9(3):177-90.



Creative Commons License

Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.