American Journal of Aerospace Engineering

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Optimization of Turning Parameters to Minimize Burr by Using Taguchi Design Method

Received: Jul. 09, 2019    Accepted: Aug. 12, 2019    Published: Sep. 02, 2019
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Abstract

Reducing burr formation in machining operations is of vital importance as they can decrease the functionality of components and can cause injuries. Nowadays, additional processes for deburring are often necessary. To avoid deburring, the modification of turning processes is a promising approach. Here, different parameters have a significant influence on burr formation. This paper presents the influence of cutting parameters like cutting speed, feed rate, depth of cut on the burr size of 5A06, 6061 and 6063 aluminum alloy during turning on CNC lathe. A plan of experiments based on Taguchi method has been used to acquire the data. An orthogonal array, signal to noise (S/N) ratio and analysis of variance (ANOVA) are employed to investigate machining characteristics using fine turning tool within the domain of experiments considered. Experimental runs were chosen following L9 orthogonal array of Taguchi. Analysis of variance was undertaken to find out the influence of process parameters on the response noted. Predicted values are finally checked for accuracy through a confirmation test. Confirmation tests have been carried out to predict the optimal setting of process parameters to validated the proposed method and obtained the values 0.024 mm, 0.006 mm, and 0.009 mm for burr height of 5A06, 6061 and 6063 aluminum alloy respectively. In this paper, methods for burr minimization in various cutting processes are presented. Burr reduction strategies for turning of different materials are presented.

DOI 10.11648/j.ajae.20190601.12
Published in American Journal of Aerospace Engineering ( Volume 6, Issue 1, June 2019 )
Page(s) 11-16
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), 2024. Published by Science Publishing Group

Keywords

Burr, Turning, Taguchi, Signal to Noise, Analysis of Variance

References
[1] Andrey Toropov, Sung-Lim Ko, Byung-Kwon Kim (2005) Experimental study of burrs formed in feed direction when turning aluminium alloy Al6061-T6. International Journal of Machine Tools & Manufacture, 45: 1015-1022.
[2] Zhijie Zou, Liangwei Liu, Binglin Li, Wenjun Deng (2016) Research on burr formation mechanism in metal cutting with a backup material. Int J Adv Manuf Technol, 86: 1895-1907.
[3] Hashimura M., Chang Y. P., Dornfeld D. A. (1999) Analysis of burr formation mechanism in orthogonal cutting. Journal of Manufacturing Science and Engineering, 121: 1-7.
[4] Chern G. L. (2006) Study on mechanisms of burr formation and edge breakout near the exit of orthogonal cutting. J Mater Process Technol, 176: 152-157.
[5] Avinash A. Thakre, Shashank Soni (2016) Modeling of burr size in drilling of aluminium silicon carbide composites using response surface methodology. Engineering Science and Technology, an International Journal, 19: 1199-1205.
[6] Gongyu Liu, Jiaqiang Dang, Yaofeng Chen, Dapeng Dong, Qinglong An (2019) Numerical and experimental investigation on grinding-induced exit burr formation. The International Journal of Advanced Manufacturing Technology, 103: 2331-2346.
[7] Juan Huang, Yunming Zhu, Qinfeng Li, Guicheng Wang (2014) Active control methods of cutting burr in precision and ultra-precision machining. Applied Mechanics and Materials, 494-495: 620-623.
[8] Henrik Persson, Mathias Agmell, Volodymyr Bushlya, Jan-Eric Stahl (2017) Experimental and numerical investigation of burr formation in intermittent turning of AISI 4140. 16th CIRP Conference on Modelling of Machining Operations, 58: 37-42.
[9] Jingui Huang, Juan Huang, Cheng Yang, Guicheng Wang (2014) Analysis of feed-direction burr formation in micro-turning. Applied Mechanics and Materials, 590: 299-303.
[10] Reddy Sreenivasulu, Chalamalasetti SrinivasaRao (2018) Investigation of influence of drill geometry and thrust force during drilling of aluminium 2014 alloy on burr formation through design of experiments and nueral network. Technological Engineering, XV: 5-10.
[11] Muhammad Asad, Hassan Ijaz, Waqas Saleem, Abdullah S. B. Mahfouz, Zeshan Ahmad, Tarek Mabrouki (2019) Finite element analysis and statistical optimization of end-burr in turning AA2024. Metals, 9: 1-19.
[12] Balogun Aizebeoje Vincent, Isuamfon Friday Edem, Omonigho B. Otanocha (2018) Characterization of chip and burr formation at high speed machining of nitronic 33 steel alloys. International Journal of Engineering Research in Africa, 35: 125-133.
[13] Wei Zhao, Haitao Wang, Wei Chen (2019) Studying the effects of cutting parameters on burr formation and deformation of hierarchical micro-structures in ultra-precision raster milling. The International Journal of Advanced Manufacturing Technology, 101: 1133-1141.
[14] Longhua Xu, Chuanzhen Huang, Rui Su, Hongtao Zhu, Hanlian Liu, Yue Liu, Chengwu Li, and Jun Wang (2019) Estimation of tool life and cutting burr in high speed milling of the compacted graphite iron by DE based adaptive neuro-fuzzy inference system. Mechanical Sciences, 10: 243-254.
[15] Yoomin Ahn, Seoung Hwan Lee (2017) Classification and prediction of burr formation in micro drilling of ductile metals. International Journal of Production Research, 55: 4833-4846.
[16] Rahul Patil, Sagar Shinde, Deepak Marla, Suhas Joshi (2016) Experimental analysis of burr formation in drilling of TI-6AL-4V alloy. International Journal of Mechatronics and Manufacturing Systems, 9: 237-253.
[17] Sanjib Kundu, Santanu Das, Partha Pratim Saha (2014) Optimization of drilling parameters to minimize burr by providing back-up support on aluminium alloy. 12th Golbal Congress on Manufacturing and Management, GCMM 2014, 97: 230-240.
[18] Yin Bu, Wenhe Liao, Wei Tian, Jianxin Shen, Jian Hu (2016) An analytical model for exit burrs in drilling of aluminium materials. Int J Adv Manuf Technol, 85: 2783-2796.
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  • APA Style

    Yanfei Bian, Meng Cai, Shi Li, Shuai Zhang, Shengxuan Wu, et al. (2019). Optimization of Turning Parameters to Minimize Burr by Using Taguchi Design Method. American Journal of Aerospace Engineering, 6(1), 11-16. https://doi.org/10.11648/j.ajae.20190601.12

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    ACS Style

    Yanfei Bian; Meng Cai; Shi Li; Shuai Zhang; Shengxuan Wu, et al. Optimization of Turning Parameters to Minimize Burr by Using Taguchi Design Method. Am. J. Aerosp. Eng. 2019, 6(1), 11-16. doi: 10.11648/j.ajae.20190601.12

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    AMA Style

    Yanfei Bian, Meng Cai, Shi Li, Shuai Zhang, Shengxuan Wu, et al. Optimization of Turning Parameters to Minimize Burr by Using Taguchi Design Method. Am J Aerosp Eng. 2019;6(1):11-16. doi: 10.11648/j.ajae.20190601.12

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  • @article{10.11648/j.ajae.20190601.12,
      author = {Yanfei Bian and Meng Cai and Shi Li and Shuai Zhang and Shengxuan Wu and Lichao Tong},
      title = {Optimization of Turning Parameters to Minimize Burr by Using Taguchi Design Method},
      journal = {American Journal of Aerospace Engineering},
      volume = {6},
      number = {1},
      pages = {11-16},
      doi = {10.11648/j.ajae.20190601.12},
      url = {https://doi.org/10.11648/j.ajae.20190601.12},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajae.20190601.12},
      abstract = {Reducing burr formation in machining operations is of vital importance as they can decrease the functionality of components and can cause injuries. Nowadays, additional processes for deburring are often necessary. To avoid deburring, the modification of turning processes is a promising approach. Here, different parameters have a significant influence on burr formation. This paper presents the influence of cutting parameters like cutting speed, feed rate, depth of cut on the burr size of 5A06, 6061 and 6063 aluminum alloy during turning on CNC lathe. A plan of experiments based on Taguchi method has been used to acquire the data. An orthogonal array, signal to noise (S/N) ratio and analysis of variance (ANOVA) are employed to investigate machining characteristics using fine turning tool within the domain of experiments considered. Experimental runs were chosen following L9 orthogonal array of Taguchi. Analysis of variance was undertaken to find out the influence of process parameters on the response noted. Predicted values are finally checked for accuracy through a confirmation test. Confirmation tests have been carried out to predict the optimal setting of process parameters to validated the proposed method and obtained the values 0.024 mm, 0.006 mm, and 0.009 mm for burr height of 5A06, 6061 and 6063 aluminum alloy respectively. In this paper, methods for burr minimization in various cutting processes are presented. Burr reduction strategies for turning of different materials are presented.},
     year = {2019}
    }
    

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  • TY  - JOUR
    T1  - Optimization of Turning Parameters to Minimize Burr by Using Taguchi Design Method
    AU  - Yanfei Bian
    AU  - Meng Cai
    AU  - Shi Li
    AU  - Shuai Zhang
    AU  - Shengxuan Wu
    AU  - Lichao Tong
    Y1  - 2019/09/02
    PY  - 2019
    N1  - https://doi.org/10.11648/j.ajae.20190601.12
    DO  - 10.11648/j.ajae.20190601.12
    T2  - American Journal of Aerospace Engineering
    JF  - American Journal of Aerospace Engineering
    JO  - American Journal of Aerospace Engineering
    SP  - 11
    EP  - 16
    PB  - Science Publishing Group
    SN  - 2376-4821
    UR  - https://doi.org/10.11648/j.ajae.20190601.12
    AB  - Reducing burr formation in machining operations is of vital importance as they can decrease the functionality of components and can cause injuries. Nowadays, additional processes for deburring are often necessary. To avoid deburring, the modification of turning processes is a promising approach. Here, different parameters have a significant influence on burr formation. This paper presents the influence of cutting parameters like cutting speed, feed rate, depth of cut on the burr size of 5A06, 6061 and 6063 aluminum alloy during turning on CNC lathe. A plan of experiments based on Taguchi method has been used to acquire the data. An orthogonal array, signal to noise (S/N) ratio and analysis of variance (ANOVA) are employed to investigate machining characteristics using fine turning tool within the domain of experiments considered. Experimental runs were chosen following L9 orthogonal array of Taguchi. Analysis of variance was undertaken to find out the influence of process parameters on the response noted. Predicted values are finally checked for accuracy through a confirmation test. Confirmation tests have been carried out to predict the optimal setting of process parameters to validated the proposed method and obtained the values 0.024 mm, 0.006 mm, and 0.009 mm for burr height of 5A06, 6061 and 6063 aluminum alloy respectively. In this paper, methods for burr minimization in various cutting processes are presented. Burr reduction strategies for turning of different materials are presented.
    VL  - 6
    IS  - 1
    ER  - 

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Author Information
  • The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang, China

  • The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang, China

  • The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang, China

  • The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang, China

  • The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang, China

  • The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang, China

  • Section