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Modeling, analysis, and multi-objective optimization of cold extrusion process of clutch outer gear hub using response surface method and meta-heuristic approaches

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Abstract

In this paper, a cold extrusion process was developed to manufacture the clutch outer gear hub. To reduce the forming load and improve the filling effect of internal spline fillet, this paper established the finite element (FE) model of the cold extrusion process and analyzed the influences of main process variables on the forming load and fillet clearance. Then, the second-order response models with four main process parameters as the optimization variables and forming load and fillet clearance as the optimization objectives were established by using the response surface method (RSM). Furthermore, the meta-heuristic approaches of non-dominated sorting genetic algorithm (NSGA-II) and multi-objective genetic algorithm (MOGA) were applied to optimize the models iteratively and a set of optimal process parameters was obtained. Finally, the finite element simulation and experiment confirmation results show that with the optimal parameters, the forming load can be effectively reduced and the filling effect of internal spline fillets is significantly improved. Thus, it is proved that the optimization method is feasible and that a clutch outer gear hub can be produced by cold extrusion process.

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References

  1. Wu HC, Altan T (2004) Process optimization in stamping—a case study for flanging a clutch hub from steel plate. J Mater Process Technol 146(1):8–19. https://doi.org/10.1016/s0924-0136(03)00839-2

    Article  Google Scholar 

  2. Mori K, Maeno T, Fukui Y (2011) Spline forming of ultra-high strength gear drum using resistance heating of side wall of cup. CIRP Ann 60(1):299–302. https://doi.org/10.1016/j.cirp.2011.03.144

    Article  Google Scholar 

  3. Zhuang X, Sun X, Xiang H, Xia M, Zhao Z (2015) Compound deep drawing and extrusion process for the manufacture of geared drum. Int J Adv Manuf Technol 84(9-12):2331–2345. https://doi.org/10.1007/s00170-015-7840-5

    Article  Google Scholar 

  4. Da M, Zhu C, Zhao X, Zhao S (2018) Applying low-frequency vibration for the experimental investigation of clutch hub forming. Materials 11(6). https://doi.org/10.3390/ma11060928

  5. Behrens BA, Hübner S, Vucetic M (2013) Influence of superimposing of oscillation on sheet-bulk metal forming. Key Eng Mater 554-557:1484–1489. https://doi.org/10.4028/www.scientific.net/KEM.554-557.1484

    Article  Google Scholar 

  6. Yoon J, Jeon H, Lee J (2013) Process design of cold forging with thick plate for seat recliner parts. Mater Des 49:449–455. https://doi.org/10.1016/j.matdes.2013.02.048

    Article  Google Scholar 

  7. Hussain PBC, J. S.; Kwak, D. Y.; Kim, S. Y.; & Im, Y. T. (2002) Simulation of clutch-hub forging process using CAMPform. J Mater Process Technol 123(1):120–132. https://doi.org/10.1016/s0924-0136(02)00061-4

    Article  Google Scholar 

  8. Lee JM, Kim BM, Kang CG (2006) A study on the cold ironing process for the drum clutch with inner gear shapes. Int J Mach Tools Manuf 46(6):640–650. https://doi.org/10.1016/j.ijmachtools.2005.07.027

    Article  Google Scholar 

  9. Park JH, Kim SG, Park YC, Song XG (2011) Shape design of the deep-drawing preform for manufacturing of automobile drum clutch hubs. Proc Inst Mech Eng C J Mech Eng Sci 226(4):1016–1024. https://doi.org/10.1177/0954406211417495

    Article  Google Scholar 

  10. Ko D-H, Lee S-K, Kwon Y-N, Kim S-W, Kim B-H, Kim B-M, Ko D-C (2012) Improvement in dimensional accuracy of roll-die-formed clutch hub used in automotive transmission. Int J Precis Eng Manuf 13(2):237–243. https://doi.org/10.1007/s12541-012-0029-z

    Article  Google Scholar 

  11. Mebrahtu BG, Cai YJ, Yu Q (2013) Study on the formability rules with precise die face for the inner clutch shell of automobile. Adv Mater Res 690-693:2923–2927. https://doi.org/10.4028/www.scientific.net/AMR.690-693.2923

    Article  Google Scholar 

  12. Sun X, Zhu S, Zhuang X, Zhao Z (2016) Numerical investigation on tooth filling of clutch drum forming processes. Prod Eng 10(1):25–35. https://doi.org/10.1007/s11740-016-0658-7

    Article  Google Scholar 

  13. Ji TW, Gao J, Zhao GQ, Zhang CR (2006) Research on GA-ANN integration and its applications to cold extrusion process design. Mater Sci Forum 532-533:897–900. https://doi.org/10.4028/www.scientific.net/MSF.532-533.897

    Article  Google Scholar 

  14. Zhang G, Zhang Z, Ming W, Guo J, Huang Y, Shao X (2013) The multi-objective optimization of medium-speed WEDM process parameters for machining SKD11 steel by the hybrid method of RSM and NSGA-II. Int J Adv Manuf Technol 70(9-12):2097–2109. https://doi.org/10.1007/s00170-013-5427-6

    Article  Google Scholar 

  15. Islam M, Buijk A, Rais-Rohani M, Motoyama K (2015) Process parameter optimization of lap joint fillet weld based on FEM–RSM–GA integration technique. Adv Eng Softw 79:127–136. https://doi.org/10.1016/j.advengsoft.2014.09.007

    Article  Google Scholar 

  16. Bakhtiari H, Karimi M, Rezazadeh S (2014) Modeling, analysis and multi-objective optimization of twist extrusion process using predictive models and meta-heuristic approaches, based on finite element results. J Intell Manuf 27(2):463–473. https://doi.org/10.1007/s10845-014-0879-6

    Article  Google Scholar 

  17. Ong P, Chin DDVS, Ho CS, Ng CH (2016) Modeling and optimization of cold extrusion process by using response surface methodology and metaheuristic approaches. Neural Comput & Applic 29(11):1077–1087. https://doi.org/10.1007/s00521-016-2626-8

    Article  Google Scholar 

  18. Torabi SHR, Alibabaei S, Bonab BB, Sadeghi MH, Faraji G (2015) Design and optimization of turbine blade preform forging using RSM and NSGA II. J Intell Manuf 28(6):1409–1419. https://doi.org/10.1007/s10845-015-1058-0

    Article  Google Scholar 

  19. Alimirzaloo V, Abdollahi Khangahi A, Gheshlagi Gadim H (2018) Minimisation of the damage in the extrusion process of titanium alloy blades using the response surface method and finite element analysis. Aust J Mech Eng 18:1–14. https://doi.org/10.1080/14484846.2018.1429040

    Article  Google Scholar 

  20. Peng A, Xiao X, Yue R (2014) Process parameter optimization for fused deposition modeling using response surface methodology combined with fuzzy inference system. Int J Adv Manuf Technol 73(1-4):87–100. https://doi.org/10.1007/s00170-014-5796-5

    Article  Google Scholar 

  21. Padhi PC, Mahapatra SS, Yadav SN, Tripathy DK (2016) Multi-objective optimization of wire electrical discharge machining (WEDM) process parameters using weighted sum genetic algorithm approach. J Adv Manuf Syst 15(02):85–100. https://doi.org/10.1142/s0219686716500086

    Article  Google Scholar 

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Funding

This study was funded by the National Key Research and Development Program of China (2018YFB1106504) and Postdoctoral Science Foundation of Chongqing Natural Science Foundation (cstc2020jcyj-bshX0006).

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Zuofa Liu designed experimental method. Zuofa Liu, Jie Zhou, and Yingying Chen prepared experimental materials and performed experiments. Wenjie Feng provided financial support for materials and equipment. Zuofa Liu and Wenjie Feng wrote the paper. Jie Zhou and Yingying Chen reviewed the manuscript. All authors read and approved the manuscript.

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Correspondence to Jie Zhou or Wenjie Feng.

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Liu, Z., Zhou, J., Feng, W. et al. Modeling, analysis, and multi-objective optimization of cold extrusion process of clutch outer gear hub using response surface method and meta-heuristic approaches. Int J Adv Manuf Technol 116, 229–239 (2021). https://doi.org/10.1007/s00170-021-07451-2

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