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Multi-objective Optimization in Internal Grinding SKD11 Tool Steel in Terms of Surface Roughness, Material Removal Rate and Wheel Life

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Advances in Engineering Research and Application (ICERA 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 602))

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Abstract

This paper presents a multi-objective study on the determination of optimum dressing parameters for internal grinding. The aim of this study is to achieve minimum surface roughness (SR), maximum material removal rate (MRR) and maximum wheel life (WL) concurrently. To accomplish the stated goal, six input dressing parameters including coarse dressing depth ar, coarse dressing time nr, fine dressing depth af, fine dressing time nf, non-feeding dressing n0, and dressing feed rate Sd were taken into account. The effect of the parameters on the SR, MRR and WL of the grinding process was evaluated. Furthermore, the optimal input parameters to achieve the mentioned objectives were proposed. It was also reported that the proposal optimal dressing parameters were suitable for use.

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References

  1. Hung, L.X., et al.: Determining the optimum set of dressing parameters satisfying minimum surface roughness when conducting the internal grinding of hardened SKD11 steel. In: Solid State Phenomena. Trans Tech Publications (2021)

    Google Scholar 

  2. Zhang, K., Yu, Y., Wang, W., Li, H.: Experimental study on internal cylindrical grinding of bearing steel with electrolytic in-process dressing grinding. Int. J. Adv. Manuf. Technol. 81(5), 1175–1185 (2015). https://doi.org/10.1007/s00170-015-7297-6

    Article  Google Scholar 

  3. Hung, L.X., et al.: Optimum dressing parameters for maximum material removal rate when internal cylindrical grinding using Taguchi method. Int. J. Mech. Eng. Technol. (IJMET) 9(12), 123–129 (2018)

    Google Scholar 

  4. Jeevanantham, S., et al.: A study on characteristics of parameters influencing internal grinding process with MRR. Indian J. Sci. Technol. 9(37), 1–7 (2016)

    Article  Google Scholar 

  5. Hung, L.X., et al.: Determination of optimal exchanged grinding wheel diameter when internally grinding alloy tool steel 9CrSi. In: IOP Conference Series: Materials Science and Engineering. IOP Publishing (2018)

    Google Scholar 

  6. Tran, T.-H., et al.: Optimization of replaced grinding wheel diameter for minimum grinding cost in internal grinding. Appl. Sci. 9(7), 1363 (2019)

    Article  Google Scholar 

  7. Hung, L.X., et al.: A study on calculation of optimum exchanged grinding wheel diameter when internal grinding. Mater. Today: Proc. 18, 2840–2847 (2019)

    Google Scholar 

  8. Hung, L.X., et al.: Optimization of manufacturing time in internal grinding. In: Sattler, K.-U., Nguyen, D.C., Vu, N.P., Tien Long, B., Puta, H. (eds.) ICERA 2019. LNNS, vol. 104, pp. 557–565. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-37497-6_63

    Chapter  Google Scholar 

  9. Akintseva, A., Pereverzev, P.: Modeling the influence of the circle overtravel on the stability of internal grinding process. Procedia Eng. 206, 1179–1183 (2017)

    Article  Google Scholar 

  10. Hung, L.X., et al.: Multi-objective optimization of dressing parameters of internal cylindrical grinding for 9CrSi alloy steel using Taguchi method and grey relational analysis. Mater. Today: Proc. 18, 2257–2264 (2019)

    Google Scholar 

  11. Nguyen, A.T., et al.: Optimization of dressing parameters for minimum surface roughness and maximum material removal rate in internal grinding of SKD11 tool steel. In: E3S Web of Conferences. EDP Sciences (2021)

    Google Scholar 

  12. Jeevanantham, S., et al.: Optimization of internal grinding process parameters on C40E steel using Taguchi technique. Int. J. Appl. Eng. Res. 12(19), 8660–8664 (2017)

    Google Scholar 

  13. Hung, L.X., et al.: A study on coolant parameters in internal grinding of 9CrSi steel. In: Materials Science Forum. Trans Tech Publications (2019)

    Google Scholar 

  14. Nguyen, H.-Q., et al.: A comparative study on multi-criteria decision-making in dressing process for internal grinding. Machines 10(5), 303 (2022)

    Article  Google Scholar 

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Acknowledgment

This work was supported by Thai Nguyen University of Technology.

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Authors and Affiliations

  1. Vinh Long University of Technology Education, Vĩnh Long, Vietnam

    Tran Huu Danh

  2. Electric Power University, Hanoi, Vietnam

    Nguyen Hong Linh

  3. University of Transport and Communications, Hanoi, Vietnam

    Bui Thanh Danh

  4. University of Economics—Technology for Industries, Hanoi, Vietnam

    Nguyen Anh Tuan

  5. Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Do Thi Tam, Hoang Xuan Tu & Le Xuan Hung

Authors
  1. Tran Huu Danh
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  2. Nguyen Hong Linh
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  3. Bui Thanh Danh
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  4. Nguyen Anh Tuan
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  5. Do Thi Tam
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  6. Hoang Xuan Tu
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  7. Le Xuan Hung
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Corresponding author

Correspondence to Le Xuan Hung .

Editor information

Editors and Affiliations

  1. Faculty of Electronic Engineering, Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Duy Cuong Nguyen

  2. Faculty of Mechanical Engineering, Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Ngoc Pi Vu

  3. Vietnam Association for Science Editing, Hanoi University of Science and Technology, Hanoi, Vietnam

    Banh Tien Long

  4. Institute for Automation and Systems Engineering, Ilmenau University of Technology (IUT), Ilmenau, Germany

    Horst Puta

  5. Department of Computer Science and Automation, Ilmenau University of Technology (IUT), Ilmenau, Germany

    Kai-Uwe Sattler

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Danh, T.H. et al. (2023). Multi-objective Optimization in Internal Grinding SKD11 Tool Steel in Terms of Surface Roughness, Material Removal Rate and Wheel Life. In: Nguyen, D.C., Vu, N.P., Long, B.T., Puta, H., Sattler, KU. (eds) Advances in Engineering Research and Application. ICERA 2022. Lecture Notes in Networks and Systems, vol 602. Springer, Cham. https://doi.org/10.1007/978-3-031-22200-9_75

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  • DOI: https://doi.org/10.1007/978-3-031-22200-9_75

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-22199-6

  • Online ISBN: 978-3-031-22200-9

  • eBook Packages: EngineeringEngineering (R0)

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