Skip to main content

Multidisciplinary Knowledge Modeling from Simulation and Specification to Support Concurrent and Collaborative Design

  • Conference paper
Book cover Computer Supported Cooperative Work in Design III (CSCWD 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4402))

  • 955 Accesses

Abstract

This paper presents an approach of multidisciplinary knowledge modeling for concurrent and collaborative design. Firstly, a method to acquire the knowledge from simulation and specification is studied. The knowledge is used to constitute concurrent and collaborative design model. Secondly, a concurrent and collaborative design algorithm is presented to solve the model. Finally, the method is demonstrated by a design example of bogie. The results prove that multidisciplinary knowledge modeling from simulation data and specification is feasible, and the proposed method can be applied in concurrent and collaborative design process.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ahn, J., Kwon, J.H.: An efficient strategy for reliability-based multidisciplinary design optimization using BLISS. Structural and Multidisciplinary Optimization 31(5), 363–372 (2006)

    Article  Google Scholar 

  2. Rosenman, M.A., et al.: Multidisciplinary collaborative design in virtual environments. Automation in Construction 16(1), 37–44 (2007)

    Article  Google Scholar 

  3. Lee, J., Jeong, H.: A decomposition based design method coordinated by disciplinary subspace optimization. Mechanical Systems Machine Elements and Manufacturing 3, 935–941 (2006)

    Google Scholar 

  4. Chen, L., Jin, G.: Product modeling for multidisciplinary collaborative design. International Journal of Advanced Manufacturing Technology 30(7-8), 589–600 (2006)

    Article  Google Scholar 

  5. Kong, S.H., et al.: Internet-based collaboration system: Press-die design process for automobile manufacturer. International Journal of Advanced Manufacturing Technology 20(9), 701–708 (2002)

    Article  Google Scholar 

  6. Yin, G., Tian, G., Taylor, D.: A web-based remote cooperative design for spatial cam mechanisms. International Journal of Advanced Manufacturing Technology 20(8), 557–563 (2002)

    Article  Google Scholar 

  7. Wang, Y., Shen, W., Ghenniwa, H.: A web/agent-based multidisciplinary design optimization environment. Computers in Industry 52(1), 17–28 (2003)

    Article  Google Scholar 

  8. Gantois, K., Morris, A.J.: The multi-disciplinary design of a large-scale civil aircraft wing taking account of manufacturing costs. Structural and Multidisciplinary Optimization 28(1), 31–46 (2004)

    Article  Google Scholar 

  9. Giassi, A., Bennis, F., Maisonneuve, J.J.: Multidisciplinary design optimisation and robust design approaches applied to concurrent design. Structural and Multidisciplinary Optimization 28(5), 356–371 (2004)

    Article  Google Scholar 

  10. Bai, Y., et al.: Collaborative design in product development based on product layout model. Robotics and Computer-Integrated Manufacturing 21(1), 55–65 (2005)

    Article  Google Scholar 

  11. Fayyad, U., et al.: Advances in Knowledge Discovery in Databases. MIT Press, Cambridge (1996)

    Google Scholar 

  12. Braha, D.: Data Mining for Design and Manufacturing: Methods and Applications. Kluwer Academic Publishers, Dordrecht (2001)

    MATH  Google Scholar 

  13. Robert, L.G.: Data Mining for Scientific and Engineering Applications. Kluwer Academic Publishers, Dordrecht (2001)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Weiming Shen Junzhou Luo Zongkai Lin Jean-Paul A. Barthès Qi Hao

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hu, J., Peng, Y., Li, D., Yin, J., Xiong, G. (2007). Multidisciplinary Knowledge Modeling from Simulation and Specification to Support Concurrent and Collaborative Design. In: Shen, W., Luo, J., Lin, Z., Barthès, JP.A., Hao, Q. (eds) Computer Supported Cooperative Work in Design III. CSCWD 2006. Lecture Notes in Computer Science, vol 4402. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72863-4_58

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-72863-4_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72862-7

  • Online ISBN: 978-3-540-72863-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics