Optimization of Parameter for Cutting Condition of Uhmwpe Acetabular Cup Based On Taguchi and Desirability Functions

References

• Anggoro, P. W., Anthony, A. A., Tauviqirrahman, M., Jamari Bayuseno, A. P., Han, A. L., & Han, A. (2020). Machining parameter optimization of EVA foam orthotic shoe insoles. International Journal of Engineering and Technology Innovation, 10(3), 179–15. https://doi.org/10.46604/ijeti.2020.5099
   Web of Science ®Google Scholar
• Anggoro, P. W., Bawono, B., Andreyas, W., Jamari, J., & Bayuseno, A. P. (2016). Parameter optimization of strategies at CNC milling machines Rolland modela MDX 40R CAM against surface roughness made insole shoe orthotic EVA rubber foam. International Journal of Mechanical and Mechatronics Engineering, 16(4), 96–102. https://ijens.org/Vol_16_I_04/163804-1919-IJMME-IJENS.pdf
   Google Scholar
• Anggoro, P. W., Bawono, B., Jamari Bayuseno, A. P., Tauviqirrahman, M., & Bayuseno, A. P. (2021). Advanced design and manufacturing of custom orthotics insoles based on hybrid Taguchi-response surface method. Heliyon, 7(3), 1–15. https://doi.org/10.1016/j.heliyon.2021.e06481
   Web of Science ®Google Scholar
• Anggoro, P. W., Bawono, B., Setyohadi, D. B., Ratnasari, L., Fergiawan, P. K., Tauviqirahma, M., Jamari, J., & Bayuseno, A. P. (2023). Optimisation of the machining time required by insole orthotic shoes for patients with clubfoot using the Taguchi and response surface methodology. Heliyon, 9(6), e16860. https://doi.org/10.1016/j.heliyon.2023.e16860
   PubMed Web of Science ®Google Scholar
• Anggoro, P. W., Bawono, B., Tauviqirrahman, M., & Jamari Bayuseno, A. P. (2019). Design and manufacturing orthotics shoe insole with optimum surface roughness using the CNC milling. Journal of Engineering Science & Technology, 14(4), 1799–1819. http://jestec.taylors.edu.my/Vol%2014%20issue%204%20August%202019/14_4_4.pdf
   Google Scholar
• Anggoro, P. W., Purharyono, Y., Abet, A. A., Tauviqirrahman, M., Bayuseno, A. P., Jamari, J. (2022). Optimization of cutting parameters of new material orthotic insole using a Taguchi and response surface methodology approach. Alexandria Engineering Journal, 61(5), 3613–3632. https://doi.org/10.1016/j.aej.2021.08.083
   Web of Science ®Google Scholar
• Anggoro, P. W., Tauviqirrahman, M., Jamari Bayuseno, A. P., Bawono, B., Avellina, M. M., & Avelina, M. M. (2018). Computer-aided reverse engineering system in the design and production of orthotic insole shoes for patients with diabetes. Cogent Engineering, 5(1), 1–20. https://doi.org/10.1080/23311916.2018.1470916
   Web of Science ®Google Scholar
• Asiltürk, I., & Nesseli, S. (2012). The multiresponse optimization of CNC turning parameters with Taguchi method-based response surface analysis. Measurement, 45(4), 785–794. https://doi.org/10.1016/j.measurement.2011.12.004
   Web of Science ®Google Scholar
• Baldwin, J. S., Allen, P. M., Winder, B., & Keith Ridgway, K. (2005). Modelling manufacturing evolution: Thoughts on sustainable industrial development. Journal of Cleaner Production, 13(9), 887–902. https://doi.org/10.1016/j.jclepro.2004.04.009
   Web of Science ®Google Scholar
• Bellavendram, N. (1995). Quality by design. Prentice Hall.
   Google Scholar
• Bras, J. A., Isaacs, M. O., & Overcash, M. (2006). Environmentally benign manufacturing – a workshop report. Journal of Cleaner Production, 14(5), 527–535. https://doi.org/10.1016/j.jclepro.2005.03.019
   Web of Science ®Google Scholar
• Brent, A. C., & Visser, J. K. (2005). An environmental performance resource impact indicator for life cycle management in the manufacturing industry. Journal of Cleaner Production, 13(6), 557–565. https://doi.org/10.1016/j.jclepro.2003.12.007
   Web of Science ®Google Scholar
• Fratila, D., & Caizar, C. (2011). Application of Taguchi method to the selection of optimal lubrication and cutting conditions in face milling of AlMg 3. Journal of Cleaner Production, 19(6–7), 640–645. https://doi.org/10.1016/j.jclepro.2010.12.007
   Web of Science ®Google Scholar
• Ghani, J. A., Choudhudy, I. A., Hassan, & Hasan, H. H. (2004). Application of Taguchi method in the optimization of end milling parameters. Journal of Material Technology, 145(1), 84–92. https://doi.org/10.1016/S0924-0136(03)00865-3
   Web of Science ®Google Scholar
• Hanafi, I., Cabrera, E., Khamlichi, A., Almansa, Jabbouri, A., & Almansa, F. M. (2012). Optimization of cutting conditions for sustainable machining of PEEK-CF0 using TiN tools. Journal of Cleaner Production, 33, 1–9. https://doi.org/10.1016/j.jclepro.2012.05.005
   Web of Science ®Google Scholar
• Kam, M., & Demirtaş, M. (2021). Analysis of tool vibration and surface roughness during turning process of tempered steel samples using Taguchi method. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 095440892110019. https://doi.org/10.1177/09544089211001976
   Google Scholar
• Kam, M., & Şeremet, M. (2021). Experimental investigation of the effect of machinability on surface quality and vibration in hard turning of hardened AISI 4140 steels using ceramic cutting tools. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 095440892110073. https://doi.org/10.1177/09544089211007366
   Google Scholar
• Khosrow Dehnad, A. T., & Dehnad, K. 1989. Quality control, robust design and the taguchi method, wadsworth & books. https://doi.org/10.1007/978-1-4684-1472-1
   Google Scholar
• Lestari, W. D., Anggoro, P. W., Fergiawan, P. K., Ismail, R., Jamari, & Bayuseno, A. P. (2018). The influence of tool path strategies on surface roughness and machining time in the CNC milling of UHMWPE. Journal of Engineering & Applied Sciences, 13(1), 259–263.
   Google Scholar
• Lestari, W. D., Ismail, R., Jamari, J., Bayuseno, A. P., & Anggoro, P. W. (2019). Optimization of CNC milling parameters through the Taguchi and RSM methods for surface roughness of UHMWPE acetabular cup. International Journal of Mechanical Engineering and Technology (IJMET), 10(2), 1762–1775.
   Google Scholar
• Montgomery, D. C. (2013). Design analysis of experiments. John Wiley & Sons.
   Google Scholar
• Park, S. H. (1996). Robust design and analysis for quality engineering. Chapman & Hall.
   Google Scholar
• Phadke, M. S. (1989). Quality engineering using robust design. Prentice Hall. https://doi.org/10.1007/978-1-4684-1472-1_3
   Google Scholar
• Ranjit, R. (2001). Design of experiments using the Taguchi approach: 16 steps to product and process improvement. John Wiley & Sons.
   Google Scholar
• Roy, R. K. (1990). A primer on the Taguchi method. Van Nostrand Reinhold.
   Google Scholar
• Sarıkaya, M., & Güllü, A. (2014). Taguchi design and response surface methodology based analysis of machining parameters in CNC turning under MQL. Journal of Cleaner Production, 65, 604–616. https://doi.org/10.1016/j.jclepro.2013.08.040
   Web of Science ®Google Scholar
• Shimazaki, Y., Inoue, T., & Nozu, S. (2016). Shock-absorption properties of functionally graded EVA laminates for footwear design. Polymer Testing, 54, 98–103. https://doi.org/10.1016/j.polymertesting.2016.04.024
   Web of Science ®Google Scholar
• Unal, R., & Dean, E. B. (1991). Taguchi approach to design optimization for quality and cost. An Overview Proceedings of the International Society of Parametric Analyst 13th Annual, May 21-24.
   Google Scholar
• Xavior, M. A., & Adithan, M. (2009). Determining the influence of cutting fluids on tool wear and surface roughness during turning of AISI 304 austenitic stainless steel. Journal of Materials Processing Technology, 209(2), 900–909. https://doi.org/10.1016/j.jmatprotec.2008.02.068
   Web of Science ®Google Scholar
• Yadav, R. N. (2017). A hybrid approach of Taguchi-RSM for modeling and optimization of duplex turning process. Measurement, 100, 131–138. https://doi.org/10.1016/j.measurement.2016.12.060
   Web of Science ®Google Scholar