Optimization of pre-turning parameters for diamond burnishing of AISI 4340 steel
Year 2024,
Volume: 5 Issue: 2, 29 - 36, 31.12.2024
Mevlüt Aydın
,
Ömer Faruk Gökcepınar
,
Mete Kalyoncu
Abstract
The presented study investigated for the first time the pre-turning performance before the diamond burnishing of AISI 4340 hardened steel under various cutting speeds, feed values, and cutting depths at flood cooling cutting conditions. Multi-objective optimization was conducted to obtain an effective pre-turning process regarding total cost and surface characteristics. The results showed that the pre-turning parameters must be optimized to benefit from diamond burnishing effectively. It was also observed that the diamond burnishing could have been more influential on pre-turned specimens with high surface roughness. Under the bohr-oil-added flood-cutting conditions, the average surface roughness and maximum roughness depth improved by 63.4% and 48.5%, respectively. The most influential parameters for average surface roughness and maximum roughness depth were the feed values with 98.2% and 99.3% contribution ratios, respectively. The Bees algorithm optimized the pre-turning parameters in terms of output parameters. The optimum cutting speed, feed values, and cutting depth levels are 264 m/min, 0.1325 mm/rev, and 0.55 mm, respectively.
Ethical Statement
There are no ethical issues with the publication of this manuscript
Supporting Institution
Konya Technical University Research Project Unit (BAP)
Thanks
The work presented in this article is supported by Konya Technical University Research Project Unit (BAP) with Project Number 232010037. We would like to thank Konya Technical University.
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and low-plasticity burnishing on the high-cycle fatigue strength of DIN 34CrNiMo6 alloy steel. International
Journal of Fatigue, 11, 338–354. [CrossRef]
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integrity and fatigue behavior of AISI 4340 steel after hybrid laser-ultrasonic assisted ball burnishing process.
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science,
238(15), 76077626. [CrossRef]
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tool for complex optimisation problems. Intelligent production machines and systems (pp. 454459). Elsevier
Science Ltd. [CrossRef]
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P-20 tool steel through Taguchi’s parameter design approach. Indian Journal of Engineering & Materials
Sciences, 16, 2332.
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Year 2024,
Volume: 5 Issue: 2, 29 - 36, 31.12.2024
Mevlüt Aydın
,
Ömer Faruk Gökcepınar
,
Mete Kalyoncu
References
- REFERENCES
- [1] El-Axir, M. H. (2000). An investigation into roller burnishing. International Journal of Machine Tools and Manufacture, 40(11), 16031617. [CrossRef]
- [2] Priyadarsini, C., Ramana, V. S. N. V., Prabha, K. A., & Swetha, S. (2019). A review on ball, roller, low plasticity burnishing process. Materials Today: Proceedings, 18, 5087–5099. [CrossRef]
- [3] Babu, P. R., Prasad, T. S., Raju, A. V. S., & Babu, A. J. (2009). Effect of internal roller burnishing on surface roughness and surface hardness of mild steel. Journal of Scientific & Industrial Research, 68, 2931.
- [4] Stalin John, M. R., Balaji, B., & Vinayagam, B. K. (2017). Optimisation of internal roller burnishing process in CNC machining center using response surface methodology. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 39(10), 4045–4057. [CrossRef]
- [5] Korzynski, M., Lubas, J., Swirad, S., & Dudek, K. (2011). Surface layer characteristics due to slide diamond burnishing with a cylindrical-ended tool. Journal of Materials Processing Technology, 211(1), 84–94. [CrossRef]
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- [7] Livatyali, H., Has, E., & Türköz, M. (2020). Prediction of residual stresses in ball burnishing TI6AL4V thin sheets. International Journal of Advanced Manufacturing Technology, 110(3–4), 1083–1093. [CrossRef]
- [8] Muñoz-Cubillos, J., Coronado, J. J., & Rodríguez, S. A. (2017). Deep rolling effect on fatigue behavior of austenitic stainless steels. International Journal of Fatigue, 95, 120–131. [CrossRef]
- [9] Huuki, J., & Laakso, S. V. A. (2017). Surface improvement of shafts by the diamond burnishing and ultrasonic burnishing techniques. International Journal of Machining and Machinability of Materials, 19(3), 246–259. [CrossRef]
- [10] Sachin, B., Narendranath, S., & Chakradhar, D. (2018). Experimental evaluation of diamond burnishing for sustainable manufacturing. Materials Research Express, 5(10), Article 106514. [CrossRef]
- [11] Zaghal, J., Molnár, V., & Benke, M. (2023). Improving surface integrity by optimizing slide diamond burnishing parameters after hard turning of 42CrMo4 steel. International Journal of Advanced Manufacturing Technology, 128(5–6), 2087–2103. [CrossRef]
- [12] Ouahiba, T., Hamid, H., Selma, B., & Laouar, L. (2024). Multi-objective optimization of slide diamond burnishing parameters for enhanced fatigue resistance of AISI 52100 steel. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 46(8), Article 451. [CrossRef]
- [13] Cobanoglu, T., & Ozturk, S. (2015). Effect of burnishing parameters on the surface quality and hardness. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 229(2), 286–294. [CrossRef]
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- [15] Rodríguez, A., López de Lacalle, L. N., Celaya, A., Lamikiz, A., & Albizuri, J. (2012). Surface improvement of shafts by the deep ball-burnishing technique. Surface and Coatings Technology, 206(11–12), 2817–2824. [CrossRef]
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- [17] López de Lacalle, L. N., Lamikiz, A., Sánchez, J. A., & Arana, J. L. (2007). The effect of ball burnishing on heat-treated steel and Inconel 718 milled surfaces. The International Journal of Advanced Manufacturing Technology, 32, 958968. [CrossRef]
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- [19] Qiao, Y., Chen, H., Qi, K., & Guo, P. (2020). Research on mechanical properties of 210cr12 shaft surface
processed with rolling. Coatings, 10(7), Article 611. [CrossRef]
- [20] Arun, K. R., & Stalin, P. M. R. (2021). Optimization of external roller burnishing process on magnesium
silicon carbide metal matrix composite using response surface methodology. Journal of the Brazilian Society of
Mechanical Sciences and Engineering, 43(7), 1–12. [CrossRef]
- [21] Maximov, J. T., Duncheva, G. V., Anchev, A. P., Dunchev, V. P., & Ichkova, M. D. (2020). Improvement in fatigue strength of 41Cr4 steel through slide diamond burnishing. Journal of the Brazilian Society of Mechanical
Sciences and Engineering, 42(4), 1–20. [CrossRef]
- [22] Bag, R., Panda, A., Sahoo, A. K., & Kumar, R. (2020). A comprehensive review on AISI 4340 hardened steel:
Emphasis on industry ımplemented machining settings, implications, and statistical analysis. International
- Journal of Integrated Engineering, 12(8), 61–82. [CrossRef]
- [23] de Souza, M. F., Serrão, L. F., Pardal, J. M., Tavares, S. S. M., & Fonseca, M. C. (2022). Tempering influence on residual stresses and mechanical properties of AISI 4340 steel. International Journal of Advanced
Manufacturing Technology, 120(1–2), 1123–1134. [CrossRef]
- [24] Boozarpoor, M., & Elyasi, M. (2018). An investigation of the surface quality of burnished AISI 4340 steel.
Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering,
232(3), 299313. [CrossRef]
- [25] Cammett, J. T., & Prevey, P. S. (2015). Fatigue strength restoration in corrossion pitted 4340 alloy steel
via low plasticity Burnishing, Proceedings of the National Turbine Engine High Cycle Fatigue (HCF) Conference
April 14-16, Monterey, CA, 2003.
- [26] Avilés, A., Avilés, R., Albizuri, J., Pallarés-Santasmartas, L., & Rodríguez, A. (2019). Effect of shot-peening
and low-plasticity burnishing on the high-cycle fatigue strength of DIN 34CrNiMo6 alloy steel. International
Journal of Fatigue, 11, 338–354. [CrossRef]
- [27] Khodabandeh, A., Sayadi, D., Rajabi, S., Khosrojerdi, M., Khajehzadeh, M., & Razfar, M. R. (2024). Surface
integrity and fatigue behavior of AISI 4340 steel after hybrid laser-ultrasonic assisted ball burnishing process.
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science,
238(15), 76077626. [CrossRef]
- [28] Taguchi, G., & Wu, Y. (1979). Introduction to off-line quality control. Central Japan Quality Control Assoc.
- [29] Pham, D. T., Ghanbarzadeh, A., Koç, E., Otri, S., Rahim, S., & Zaidi, M. (2006). The bees algorithm—a novel
tool for complex optimisation problems. Intelligent production machines and systems (pp. 454459). Elsevier
Science Ltd. [CrossRef]
- [30] Groover, M. P. (2010). Fundamentals of modern manufacturing: materials, processes, and systems. John Wiley & Sons.
- [31] Aggarwal, A., Singh, H., Kumar, P., & Singh, M. (2009). Optimizing feed and radial forces in CNC machining of
P-20 tool steel through Taguchi’s parameter design approach. Indian Journal of Engineering & Materials
Sciences, 16, 2332.
- [32] St, L., & Wold, S. (1989). Analysis of variance (ANOVA). Chemometrics and İntelligent Laboratory
Systems, 6(4), 259272. [CrossRef]