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Investigation of Effects of Tool Geometry Parameters on Cutting Forces, Temperature and Tool Wear in Turning Using Finite Element Method and Taguchi’s Technique

Received: 4 May 2016     Accepted: 20 May 2016     Published: 6 June 2016
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Abstract

Turning is one of the most widely metal cutting methods. Machines, tool geometry and machining parameters are the main factors influencing machining quality and efficiency. So there is a lot of research on it. This paper studies on the influence of the geometrical parameters of the tool including: back rake angle (BR), side rake angle (SR) and side cutting-edge angle (SCEA) on cutting forces, temperature and tool wear in turning using FEM (by Deform 3D finite element simulation software) and Taguchi’s technique (by Minitab16 statistical software) is used to design the experiment and to analyze output quality characteristics from simulation results. And the optimum tool geometry parameters are given.

Published in International Journal of Mechanical Engineering and Applications (Volume 4, Issue 3)
DOI 10.11648/j.ijmea.20160403.12
Page(s) 109-114
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

FEM, FEA, BR, SR, SCEA, Deform 3D, Taguchi Method, S/N Ratio

References
[1] Hassan Abdel, Gawad El-Hofy. Fundamentals of machining processes: conventional and nonconventional processes. CRC press, 2006.
[2] Valery Marinov. Manufacturing processes for metal products. Kendall Hunt Publishing Company, 2010.
[3] T. Ozel, I. Llanos, J. Soriano And P. J. Arrazola. 3D finite element modelling of chip formation process for machining inconel 718: comparison of fe software predictions. Machining Science and Technology. 15, (2011), 21-46.
[4] Tugrul O¨ zel. The influence of friction models on finite element simulations of machining. International Journal of Machine Tools & Manufacture, 46 (2006) 518–530.
[5] N. Senthilkumar, T. Tamizharasan. Effect of tool geometry in turning aisi 1045 steel: experimental investigation and fem analysis. Arab J Sci Eng (2014) 39, 4963–4975.
[6] Stephenson, A. A., & Agapiou, J. S. Metal cutting theory and practice. Marcel Dekker. Inc, New York, 1996.
[7] Gunay, M., Korkut, I. & Seker, U. Experimental investigation of the effect of cutting tool rake angle on main cutting force. Journal of Material Processing Technology, 166, 2005, 44–49.
[8] Haci Saglam, Faruk Unsacar, Suleyman Yaldiz. Investigation of the effect of rake angle and approaching angle on main cutting force and tool tip temperature. International Journal of Machine Tools & Manufacture, 46 (2006), 132–141.
[9] Cerenitti, E., Fallbohmer, P. & Altan, T. Application of 2d fem to chip formation in orthogonal cutting. Journal of Materials Processing Technology, 59, 1996, 169–180.
[10] Sabri Ozturk. Slip-line metal cutting model with negative rake angle, Journal of the Brazilian Society of Mechanical Sciences and Engineering, vol.34 (2012).
[11] W. H. Yang, Y. S. Tarng. Design optimization of cutting parameters for turning operations based on the Taguchi method. Journal of Material Processing Technology, 84(1998) 122-129.
[12] W. Grzesik, P. Nies³ony. FEM–based thermal modelling of the cutting process using power law temperature dependent concept. International Scientific Journal, Volume 29 Issue 2February 2008, 105-108.
[13] W. Grzesik, M. Bartoszuk, P. Nieslony. Finite element modelling of temperature distribution in the cutting zone in turning processes with differently coated tools. Journal of Materials Processing Technology 164–165 (2005), 1204–1211.
[14] Corina Constantin, Sorin Mihai Croitoru, George Constantin, Claudiu Florinel Bisu. 3D fem analysis of cutting processes. Advances In Visualization, Imaging And Simulation.
[15] Shufeng Sun1,A, Pingping Wang1,B, Xin Wu1,C, Sen Lin1,D. NC turning process parameters optimization based on simulation software. Applied Mechanics And Materials Vols. 271-272 (2013), 452-456.
[16] Ruan Hongyan1, A, Yan Hua1, Lu Shubin1, Liu Huixia1, Wang Xiao1. The investigation of tool wear in metal machiningusing finite element method. Key Engineering Materials Vols 407-408 (2009), 395-399.
Cite This Article
  • APA Style

    Le Hieu Giang, Mai Duc Dai, Pham Minh Duc. (2016). Investigation of Effects of Tool Geometry Parameters on Cutting Forces, Temperature and Tool Wear in Turning Using Finite Element Method and Taguchi’s Technique. International Journal of Mechanical Engineering and Applications, 4(3), 109-114. https://doi.org/10.11648/j.ijmea.20160403.12

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    ACS Style

    Le Hieu Giang; Mai Duc Dai; Pham Minh Duc. Investigation of Effects of Tool Geometry Parameters on Cutting Forces, Temperature and Tool Wear in Turning Using Finite Element Method and Taguchi’s Technique. Int. J. Mech. Eng. Appl. 2016, 4(3), 109-114. doi: 10.11648/j.ijmea.20160403.12

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    AMA Style

    Le Hieu Giang, Mai Duc Dai, Pham Minh Duc. Investigation of Effects of Tool Geometry Parameters on Cutting Forces, Temperature and Tool Wear in Turning Using Finite Element Method and Taguchi’s Technique. Int J Mech Eng Appl. 2016;4(3):109-114. doi: 10.11648/j.ijmea.20160403.12

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  • @article{10.11648/j.ijmea.20160403.12,
      author = {Le Hieu Giang and Mai Duc Dai and Pham Minh Duc},
      title = {Investigation of Effects of Tool Geometry Parameters on Cutting Forces, Temperature and Tool Wear in Turning Using Finite Element Method and Taguchi’s Technique},
      journal = {International Journal of Mechanical Engineering and Applications},
      volume = {4},
      number = {3},
      pages = {109-114},
      doi = {10.11648/j.ijmea.20160403.12},
      url = {https://doi.org/10.11648/j.ijmea.20160403.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmea.20160403.12},
      abstract = {Turning is one of the most widely metal cutting methods. Machines, tool geometry and machining parameters are the main factors influencing machining quality and efficiency. So there is a lot of research on it. This paper studies on the influence of the geometrical parameters of the tool including: back rake angle (BR), side rake angle (SR) and side cutting-edge angle (SCEA) on cutting forces, temperature and tool wear in turning using FEM (by Deform 3D finite element simulation software) and Taguchi’s technique (by Minitab16 statistical software) is used to design the experiment and to analyze output quality characteristics from simulation results. And the optimum tool geometry parameters are given.},
     year = {2016}
    }
    

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  • TY  - JOUR
    T1  - Investigation of Effects of Tool Geometry Parameters on Cutting Forces, Temperature and Tool Wear in Turning Using Finite Element Method and Taguchi’s Technique
    AU  - Le Hieu Giang
    AU  - Mai Duc Dai
    AU  - Pham Minh Duc
    Y1  - 2016/06/06
    PY  - 2016
    N1  - https://doi.org/10.11648/j.ijmea.20160403.12
    DO  - 10.11648/j.ijmea.20160403.12
    T2  - International Journal of Mechanical Engineering and Applications
    JF  - International Journal of Mechanical Engineering and Applications
    JO  - International Journal of Mechanical Engineering and Applications
    SP  - 109
    EP  - 114
    PB  - Science Publishing Group
    SN  - 2330-0248
    UR  - https://doi.org/10.11648/j.ijmea.20160403.12
    AB  - Turning is one of the most widely metal cutting methods. Machines, tool geometry and machining parameters are the main factors influencing machining quality and efficiency. So there is a lot of research on it. This paper studies on the influence of the geometrical parameters of the tool including: back rake angle (BR), side rake angle (SR) and side cutting-edge angle (SCEA) on cutting forces, temperature and tool wear in turning using FEM (by Deform 3D finite element simulation software) and Taguchi’s technique (by Minitab16 statistical software) is used to design the experiment and to analyze output quality characteristics from simulation results. And the optimum tool geometry parameters are given.
    VL  - 4
    IS  - 3
    ER  - 

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Author Information
  • Faculty of Mechanical Engineering, University of Technology and Education, Hochiminh City, Vietnam

  • Faculty of Mechanical Engineering, University of Technology and Education, Hochiminh City, Vietnam

  • Faculty of Mechanical Engineering, University of Technology and Education, Hochiminh City, Vietnam

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