International Journal of Science, Technology and Society

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Analysis of Variations Control Model for Vehicle Manufacture

Received: 28 October 2015    Accepted: 9 November 2015    Published: 19 November 2015
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Abstract

Because the body manufacturing quality affects the quality of the vehicle, the control of manufacturing quality plays a decisive influence on the development of the auto industry. As an important factor of manufacturing quality, the research of variations is essential. In this paper, after analysising and comparing of the model used to control the variations of body, which is from traditional to existing, rigid to flexible, we got the optimization model which is based on the model of influence coefficient method. And making a bold speculation about the future research trends in this area, aim to provide useful reference for the future research.

DOI 10.11648/j.ijsts.20150306.13
Published in International Journal of Science, Technology and Society (Volume 3, Issue 6, November 2015)
Page(s) 288-294
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

The Control of Automobile Body Deviation, Flexible Sheet Assembly, Dimension Chain, Deterministic Analysis, the Method of Influence Coefficient

References
[1] J. D. Power and Associates, Initial Quality Survey 1997 for Automobiles, J. D. Power and Associated, 1997.
[2] J. D. Power and Associates, Product performance and quality trends of Chinese auto market, J. D. Power and Associated, 2005.
[3] TANG Dehong. From American Automobile 2mm Program to China Automobile Manufacturing Quality Program [J]. Development & Innovation of Machinery & Electrical Products, 2006, 19(1): 26-28.
[4] CHEN Xiaohua, HUANG Jinling. Application of RPS in precision designed body [J]. Automobile Technol-Ogy, 2006(8):18-21.
[5] ZHANG Haipeng. Study and Application on Tolerance Allocation of Compliant Autobody Panel multiStation Assembly [D]. Jilin: Jilin University, 41.
[6] ZHANG Zhenzhu. Research of Technology on Sheet-metal Processing Tolerance Allotting in Body-in-white and Quality Control [D]. Chongqing.: Chongqing University.2012.
[7] LIU Yinhua. Study on variation source diagnosis Based on Bayesian Networks in Auto-Body Assembly Processes [D]. Shanghai.: Shanghai Jiao Tong University.2013.
[8] Hu S J. Stream of Variation Theory for Automotive Body Assembly [J]. Annals of the CIRP, 1997, 46(1):1-6.
[9] WEN Zejun, LIU Deshun, YANG Shuyi. Study on Sequence Planning of Two Dimensional Multi-station Assembly Based on Stream of Variation Analysis [J]. Chinese Journal of Mechanical Engineering., 2008,19(24):2944-2949.
[10] Greenwood. W.H. Chase. K.W. Worst case tolerance analysis with nonlinear problem [J]. Journal of Engineering for Industry, 1988, 110(8):232-235.
[11] Greenwood. W.H. and Chase. K.W. Root sum squarea tolerance analysis with nonlinear problem [J]. ASME Journal of Engineering for Industry, 1989[J], 112(8): 382-384.
[12] WANG Taiyong, XIONG Yuedong, LU Shizhong. Application of Monte Carlo Method to Dimension and Tolerance Design [J]. Transactions of the Chinese Society for Agricultural Machinery, 2005,[9]36(5):101-104.
[13] CHEN Zhenzhong, PENG Siping, LIU Yuanyun. Monte Carlo Simulation and its Applation in Position Marker Tolerance Analysis [J]. GUIDANCE&FUZE, 2014, 35(3):55-60.
[14] D.B. Parkson. Assessment and optimization of Dimensional tolerance [J]. Computer-Aided Design. 1985, 17 (4):191~199.
[15] W.J. Lee and T.C. Woo. Tolerancing: Their analysis and synthesis [J].Journal of Engineering for industry. 1990(110):113~121.
[16] YANG Jiangxin. Research of tolerance optimization design system based on the assembly success rate [D]. Zhejiang, Zhejiang University, 1996.
[17] ZHOU Jiangqi, CHEN Guanlong, LAI Xinmin, LIN Zhongqin. Automatic generation of dimension chains for auto-body dimensional quality evaluation [J]. Journal of computer-aided design & computer graphics, 2005, 17(5):1034-1038.
[18] K.W. Chase, AR Parkinson, A Survey of Research in the Application of Tolerance Analysis to the Design of Mechanical Assemblies [J]. Research in Engineering Design, 1991 3(1):23-37.
[19] S.J. Lee, B.J. Gilmore, M.M. Ogot. Dimensional Tolerance Allocation of Stochastic Dynamic Mechanical Systems Through Performance and Sensitivity Analysis [J]. Journal of Mechanical Design, 1993, 115(3):392~402.
[20] R.C. Leishman, K.W. Chase. Direct Linearization Method Kinematic Variation Analysis [J]. ASME Journal of Mechanical Design, 2010, 132(7):1-9.
[21] WANG Huiqing, XIAO Tianyuan, ZHANG Linxuan. 3-D in ensional tolerance analysis based on a vector loop model [J]. Modern Manufacturing Engineering, 2005(8):82-85.
[22] W.Cai, Robust pin layout design for sheet-panel locating [J]. International Jounal of Advanced Manufacturing Technology, 2006, 28(5-6):486-494.
[23] CAO Jun. The research of 3D variation modeling and analysis based on deterministic analys- is in auto-body assembly [D]. Shanghai. Shanghai Jiao Tong University, 2008.
[24] Asada. H., By. A.. Kinematic analysis of workpart fixturing for flexible assembly with automatically reconfigurable fixtures[J]. Journal of Robotics and Automation, 1985, 1 (2):86-94.
[25] E.C. Denmeter. Restraint analysis of fixtures which rely on surface contact [J]. Journal of Engineering for Industry, 1994, 116(2):207-215.
[26] Johan.S. Carlson. Quadratic Sensitivity Analysis of Fixtures and Locating Schemes for Rigid Parts [J]. Journal of Manufacturing Science and Engineering, 2000, 123(3):462-472.
[27] Michael Yu Wang, Tong liu, Diana M. Pelinescu. Fixture kinematics analysis based on the full contact model of rigid bodies [J], Journal of Manufacturing Science and Engineering, 2003, 125(2):316-324.
[28] Takezawa, N. An Improved Method for Establishing the Process-Wise Quality Standard [J], Japanese Union of Scientists and Engineers, 1980, 27(3):63-75.
[29] Liu S.C., Hu S.J., An offset finite element model and its applications in predicting sheet metal assembly variation [J]. International Journal of machine tools and manufacture, 1995, 35(11):1545-1557.
[30] Hu S.J., Stream of variation theroy for automotive body assembly [J].Annals of the Crip, 1997, 46(1):1-6.
[31] S. Charles Liu, S. Jack Hu. Variation Simulation for Deformable Sheet Metal Assembly Using Finite Element Methods [J]. Journal of Manufacturing Science and Engineering, 1997, 119(3): 368-373.
[32] Liu S. Charles, Hu S. Jack. Sheet metal joint configuration and their variation characteristics [J]. Journal of Manufacturing Science and Engineering, 1998, 120(2):461-467.
[33] DU Sheliang, LIN Zhongqin. Finite element analysis of auto body manufacturing deviation based on bionics [J]. Journal of Shanghai Jiao Tong University, 2009, 43(1):110-113.
[34] Long YuFeng. Variation simulation for compliant sheet metal assemblies with applications [D], Dissertation Abstracts International, University of Michigan, 2000.
[35] Ungemach Georg, Mantwill Frank. Efficient Consideration of Contact in Compliant Assembly Variation Analysis [J]. Journal of Manufacturing Science & Engineering, 2009, 131(1):123-136.
[36] Stefan Dahlstrom, Lars Lindkvist. Variation Simulation of sheet metal assemblies using the method of influence coefficients with contact modeling[J], Journal of Manufacturing Science and Engineering,2006,129(3):615-622.
[37] XING Yanfeng, Assembly sequence optimization of auto-body parts based on compliant assembly variation analysis [D]. Shanghai. Shanghai Jiao Tong University, 2008.
[38] YANG Yang. The assembly deviation analysis of flexible thin pieces[D]. Zhejiang, Zhejiang University, 2014.
[39] XU BinGang, QU Liangsheng, SUN Ruixiang. Balancing of Flexible Rotors without Test Weights [N]. Journal of Xi’an Jiaotong University, 2000, 34(7):63-67.
[40] CHEN Xin, WANG Hua, JIN Sun, CHEN Guanlong. Fault diagnosis in auto-body assembly process based on non-linear principal component analysis [J]. Machinery, 2004, 31(2):31-35.
[41] LI Yongbing, LI Yating, LOU Ming, LIN Zhongqin. Lightweighting of car body and its challenges to joining technologies [J]. Journal of mechanical engineering, 2012, 48(18):44-55.
[42] LONG Jiangqi, Lan Fengchong, CHEN Jiqing. New technology of lightweight and steel-alu minum hybrid structure car body [J]. Journal of mechanical engineering, 2008, 44(6):27-40.
[43] S. Charles Liu, S. Jack. Hu. A Parametric Study of joint Performance in Sheet Metal Assembly [J]. International Journal of machine tools and manufacture, 1997, 37(6):873-884.
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  • APA Style

    Wang Fang, Xing Yanfeng. (2015). Analysis of Variations Control Model for Vehicle Manufacture. International Journal of Science, Technology and Society, 3(6), 288-294. https://doi.org/10.11648/j.ijsts.20150306.13

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    ACS Style

    Wang Fang; Xing Yanfeng. Analysis of Variations Control Model for Vehicle Manufacture. Int. J. Sci. Technol. Soc. 2015, 3(6), 288-294. doi: 10.11648/j.ijsts.20150306.13

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    AMA Style

    Wang Fang, Xing Yanfeng. Analysis of Variations Control Model for Vehicle Manufacture. Int J Sci Technol Soc. 2015;3(6):288-294. doi: 10.11648/j.ijsts.20150306.13

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  • @article{10.11648/j.ijsts.20150306.13,
      author = {Wang Fang and Xing Yanfeng},
      title = {Analysis of Variations Control Model for Vehicle Manufacture},
      journal = {International Journal of Science, Technology and Society},
      volume = {3},
      number = {6},
      pages = {288-294},
      doi = {10.11648/j.ijsts.20150306.13},
      url = {https://doi.org/10.11648/j.ijsts.20150306.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsts.20150306.13},
      abstract = {Because the body manufacturing quality affects the quality of the vehicle, the control of manufacturing quality plays a decisive influence on the development of the auto industry. As an important factor of manufacturing quality, the research of variations is essential. In this paper, after analysising and comparing of the model used to control the variations of body, which is from traditional to existing, rigid to flexible, we got the optimization model which is based on the model of influence coefficient method. And making a bold speculation about the future research trends in this area, aim to provide useful reference for the future research.},
     year = {2015}
    }
    

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  • TY  - JOUR
    T1  - Analysis of Variations Control Model for Vehicle Manufacture
    AU  - Wang Fang
    AU  - Xing Yanfeng
    Y1  - 2015/11/19
    PY  - 2015
    N1  - https://doi.org/10.11648/j.ijsts.20150306.13
    DO  - 10.11648/j.ijsts.20150306.13
    T2  - International Journal of Science, Technology and Society
    JF  - International Journal of Science, Technology and Society
    JO  - International Journal of Science, Technology and Society
    SP  - 288
    EP  - 294
    PB  - Science Publishing Group
    SN  - 2330-7420
    UR  - https://doi.org/10.11648/j.ijsts.20150306.13
    AB  - Because the body manufacturing quality affects the quality of the vehicle, the control of manufacturing quality plays a decisive influence on the development of the auto industry. As an important factor of manufacturing quality, the research of variations is essential. In this paper, after analysising and comparing of the model used to control the variations of body, which is from traditional to existing, rigid to flexible, we got the optimization model which is based on the model of influence coefficient method. And making a bold speculation about the future research trends in this area, aim to provide useful reference for the future research.
    VL  - 3
    IS  - 6
    ER  - 

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Author Information
  • Automobile Engineering College, Shanghai University Engineering Science, Shanghai, China

  • Automobile Engineering College, Shanghai University Engineering Science, Shanghai, China

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