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Numerical Modeling of Orthogonal Machining Process Using Smoothed Particle Hydrodynamics—A Parametric Study

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Trends in Manufacturing and Engineering Management

Abstract

Some of the challenges faced during numerical modeling of machining processes using finite element method are: extreme deformations, complicated and discontinuous contact conditions between the workpiece and cutting tool, and the chances of self-contact due to chip curling. Another difficulty encountered in FEM is in the form of mass and energy losses. Lately, the smoothed particle hydrodynamics (SPH) method has developed as a potential alternative for modeling machining processes due to its ability to handle severe deformations while avoiding energy losses and mass losses encountered by traditional FE Model. This method has been implemented in commercial finite element package Abaqus, for solving problems involving localized severe deformations. Several control parameters are used in a typical SPH formulation. The purpose of this research work is to investigate the influence of the important factors such as the type of SPH formulation, mass scaling, particle density, artificial bulk viscosity, and the smoothing length in the numerical modeling of orthogonal machining of AISI 1045 steel. The challenges involved in accurately modeling this highly nonlinear problem is handled using the Abaqus/Explicit integration scheme along with the Johnson–Cook material model. Results from this parametric study are validated with the results from previously published literatures.

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References

  1. Niu W, Mo R, Liu GR, Sun H, Dong X, Wang G (2017) Modeling of orthogonal cutting process of A2024-T351 with an improved Sph method. Int J Adv Manuf Technol 95:905–919

    Google Scholar 

  2. Olleak AA, El-Hofy HA (2015) Prediction of cutting forces in high speed machining of Ti6Al4 V using Sph method. In: Proceedings of the ASME 2015 International Manufacturing Science And Engineering Conference MSEC 2015 June 812, 2015, Charlotte, North Carolina, USA

    Google Scholar 

  3. Ramesh A, Sumesh CS, Abhilash PM, Rakesh S (2015) Finite element modelling of orthogonal machining of hard to machine materials. Int J Mach Machinability Mater 17(6):543–568

    Google Scholar 

  4. Avachat CS, Cherukuri HP (2015) A parametric study of the modeling of orthogonal machining using the smoothed particle hydrodynamics method. In: Proceedings of the ASME 2015 International Mechanical Engineering Congress and Exposition IMECE 2015, 13–19 Nov 2015, Houston, Texas

    Google Scholar 

  5. Bagci E (2011) 3-D Numerical analysis of orthogonal cutting process via Meshfree method. Int J Phys Sci 6(6):1267–1282

    Google Scholar 

  6. Liu MB, Liu GR (2010) Smoothed particle hydrodynamics (Sph): an overview and recent developments. Arch Comput Methods Eng 17:25–76

    Google Scholar 

  7. Kershah T (2000) Prediction of cutting coefficients during orthogonal metal cutting process using FEA approach

    Google Scholar 

  8. Madaja M, Píškaa M (2013) On the Sph orthogonal cutting simulation of A2024-T351 alloy. In: 14th CIRP Conference on Modeling of Machining Operations, Procedia Cirp, vol 8, pp 152–157

    Google Scholar 

  9. Sumesh CS, Ramesh A (2018) Numerical modelling and optimization of dry orthogonal turning of Al 6061 T6 alloy. Periodica Polytechnica Mech Eng 62(3):196–202

    Google Scholar 

  10. Zetterberg M (2014) A critical overview of machining simulations in Abaqus. Degree Project. In: Solid mechanics, Second Level Stockholm, Sweden

    Google Scholar 

  11. Villumsen MF, Fauerholdt TG (2008) Simulation of metal cutting using smooth particle hydrodynamics. Ls-Dyna Anwenderforum, Bamberg

    Google Scholar 

  12. Haddag B, Atlati S, Nouari M, Barlier C, Zenasni M (2012) Analysis of the cutting parameters influence during machining Aluminium alloy A2024-T351 with uncoated carbide inserts. Eng Trans 60(1):31–39

    Google Scholar 

  13. Barge M, Rech J, Hamdi H, Bergheau J-M (2005) Numerical modelling of orthogonal cutting numerical, physical and process parameters dependence. In: Proceedings of the 2nd International Conference on Manufacturing Engineering (ICMEN), 5–7 Oct 2005, Kallithea-Chalkidiki, Greece

    Google Scholar 

  14. Zhang D, Zhang X-M, Xu W-J, Ding H (2016) Stress field analysis in orthogonal cutting process using digital image correlation technique. J Manuf Sci Eng 139:031001-1 (March 2017)

    Google Scholar 

  15. Limido J, Espinosa C, Salaun M, Mabru C, Chieragatti R, Lacome JL (2011) Metal cutting modelling Sph approach. Int J Mach Machinability Mater 9(¾)

    Google Scholar 

  16. Chen G, Ren C, Yang X, Jin X, Guo T (2011) Finite element simulation of high-speed machining of Titanium alloy (Ti-6Al-4V) based on ductile failure model. Int J Adv Manuf Technol 56:1027–1038

    Article  Google Scholar 

  17. Cleary PW, Savage G, Ha J, Prakash M (2014) Flow analysis and validation of numerical modelling for a thin walled high pressure die casting using Sph. Comp Part Mech. https://doi.org/10.1007/s40962-017-0144-9

  18. Hu MY, Cai JJ, Li N, Yu HL, Zhang Y, Sun B, Sun WL (2017) Flow modeling in high-pressure die casting processes using Sph model. Am Foundry Soc. https://doi.org/10.1007/s40962-017-0144-9

  19. Liu GR, Liu MB (2003) Smoothed particle hydrodynamics: a Meshfree particle method. World Scientic, Singapore

    Google Scholar 

  20. Dassault Systmes Simulia Corporation. ABAQUS Analysis user’s guide (2013)

    Google Scholar 

  21. Dassault Systmes Simulia Corporation. ABAQUS Analysis user’s guide (2016), Section 15.2.2

    Google Scholar 

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Correspondence to C. S. Sumesh .

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Surendran, S.B.T., Sumesh, C.S., Ramesh, A. (2021). Numerical Modeling of Orthogonal Machining Process Using Smoothed Particle Hydrodynamics—A Parametric Study. In: Vijayan, S., Subramanian, N., Sankaranarayanasamy, K. (eds) Trends in Manufacturing and Engineering Management. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-4745-4_44

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  • DOI: https://doi.org/10.1007/978-981-15-4745-4_44

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  • Online ISBN: 978-981-15-4745-4

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