Skip to main content
Log in

Integrating case-based with rule-based reasoning in body-in-white fixture design

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

In this study, a case library for body-in-white (BIW) fixtures is constructed based on the structure of fixtures. The analytic hierarchy process (AHP) is applied to differentiate the factors influencing fixture cases. Weight calculations and the distribution of the weight coefficient of case properties are presented by adopting a 1-to-9 scaling algorithm. Furthermore, the similarity between cases is calculated using the nearest-neighbor approach. The parameterization of a fixture case is demonstrated in an example of a pneumatic fixture with two links. The rules for the revision of case parameters and the assembly positioning of case are given. A prototype case-based reasoning system for a fixture library is developed in C++ for NX software. Finally, a design case study is used to present the applicability and usability of the proposed reasoning system.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Siemens PLM, Software Inc (2008) Digital manufacturing and China automotive industry value and trends. Huazhong University of Science and Technology, China

    Google Scholar 

  2. Keyvani A, Danielsson F (2010) A virtual manufacturing approach for integrating fixture design with process planning. Adv Intell Soft Comput 66:483–496, Proceedings of the 6th CIRP-sponsored international conference on digital enterprise technology

    Article  Google Scholar 

  3. Gusikhin O, Rychtyckyj N, Filev D (2007) Intelligent systems in the automotive industry: applications and trends. Knowl Inf Syst 12(2):147–168

    Article  Google Scholar 

  4. Boyle I (2006) CAFixD: a case-based reasoning method for fixture design. Worcester Polytechnic Institute. Ph.D. dissertation

  5. Li Y, Jian J (2009) Development of key technologies in a case-based knowledge system for fixture design. Proceedings of the 6th CIRP-sponsored international conference on digital enterprise technology. Volume 66 of the series Advances in intelligent and soft computing, pp. 239-250

  6. Li C-Y, Wang R (2012) The research and application of case-based reasoning in fixture design, soft computing in information communication technology. Volume 158 of the series Advances in intelligent and soft computing, pp. 325-331

  7. Hashemi H, Shaharoun AM, Sudin I (2014) A case-based reasoning approach for design of machining fixture. Int J Adv Manuf Technol 74(1-4):113–124, Date: 29 May

    Article  Google Scholar 

  8. Richter MM, Weber RO (2013) Case-based reasoning. Springer, Heidelberg. ISBN 978-3-642-40166-4 ISBN 978-3-642-40167-1 (eBook). doi: 10.1007/978-3-642-40167-1, pp. 524-536

  9. Mervyn F, Senthil kumar A, Bok SH, Nee AYC (2003) Development of an Internet-enabled interactive fixture design system. Comput Aided Des 35(10):945–957

    Article  Google Scholar 

  10. Wan N, Wang Z, Rong M (2013) An intelligent fixture design method based on smart modular fixture unit. Int J Adv Manuf Technol 69(9–12):2629–2649

    Article  Google Scholar 

  11. Vasundara M, Padmanaban KP (2013) Recent developments on machining fixture layout design, analysis, and optimization using finite element method and evolutionary techniques. Int J Adv Manuf Technol 70(1-4):79–96

    Article  Google Scholar 

  12. Vukelic D, Zuperl U, Hodolic J (2009) Complex system for fixture selection, modification, and design. Int J Adv Manuf Technol 45(7-8):731–748

    Article  Google Scholar 

  13. Cai W, Hu SJ, Yuan JX (1996) Deformable sheet metal fixturing: principles, algorithms, and simulations. J Manuf Sci Eng 118(8):318–324

    Article  Google Scholar 

  14. Chang M, Ko M, Park SC (2011) Fixture modelling for an automotive assembly line. Int J Prod Res 49(15):4593–4604

    Article  Google Scholar 

  15. Zhang J, Liu S, Xu Q, Zhao J (2007) Research on knowledge-based intellectualized CAD system of automobile body welding jig. Proc Int Conf Mech Eng Mech 1 and 2:1982–1987

    Google Scholar 

  16. Zhang J (2008) Research on case based intellectualized CAD system of automobile body welding jig. Proc Natl Acad Sci U S A 1:269–274, 2008 International symposium on intelligent information technology

    Google Scholar 

  17. Huabao YU, Zhang J, Li G (2013) Research of analytic hierarchy process applying for case based reasoning in automotive welding jig design. 2013 International conference on mechatronic sciences, electric engineering and computer (MEC), Dec 20-22, Shenyang, China

  18. Liu H, Guo Y, Wang Z, Liu B (2011) The study of product design evaluation based on the analytic hierarchy process. 2011 International conference in electrics, communication and automatic control proceedings, pp. 1061-1067

  19. Chan WM, Yan L, Yan L, Xiang W, Cheok BT (2003) A 3D CAD knowledge-based assisted injection mould design system. Int J Adv Manuf Technol 22:387–395

    Article  Google Scholar 

  20. Zhu X, Healey RG, Aspinall RJ (1998) A knowledge-based systems approach to design of spatial decision support systems for environmental management. Environ Manag 22(1):35–48

    Article  Google Scholar 

  21. Kakish J, Zhang P-L, Zeid I (2000) Towards the design and development of a knowledge-based universal modular jigs and fixtures system. J Int Manuf 11(4):381–401

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Junhua Zhang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, J., Wang, F. & Wang, C. Integrating case-based with rule-based reasoning in body-in-white fixture design. Int J Adv Manuf Technol 85, 1807–1824 (2016). https://doi.org/10.1007/s00170-015-8040-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-015-8040-z

Keywords

Navigation