Skip to main content
SpringerLink
Log in

Skeleton model-based approach to integrated engineering design and analysis

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

Abstract

As concerning the present gap in the dynamic information association and integration between engineering design and engineering analysis, this paper is devoted to a parametric skeleton model-based dynamic information association and integration between design model and analysis model. After the description of the gap between engineering design and analysis was analysed, the modeling method of the product skeleton model was proposed. Then the integrated design and analysis method based on the skeleton model was proposed based on the parameterized design method for analysis. The parametric skeleton model-based design modeling method could be used to resolve the integrating design and analysis problem in product design. The integrated design and analysis of an offshore crane were given as an example with about 25 % time reduction in design cycle, which demonstrates that the methodology is helpful to the associativity of design-analysis models.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. He B, Hou SC, Song W (2015) Integrating engineering design and analysis using a parameter constraint graph approach. Simul Trans Soc Model Simul Int 91(7):625–647

    Article  Google Scholar 

  2. Shen Q, Gausemeier J, Bauch J, Radkowski R (2005) A cooperative virtual prototyping system for mechatronic solution elements based assembly. Adv Eng Inform 19:169–177

    Article  Google Scholar 

  3. Ha S, Kim L, Park S, Jun C, Rho H (2009) Virtual prototyping enhanced by a haptic interface. CIRP Ann Manuf Technol 58:135–138

    Article  Google Scholar 

  4. Bordegoni M, Rizzi C (2011) Innovation in product design: from CAD to virtual prototyping. Springer, Lodon

    Book  Google Scholar 

  5. Hasagasioglu S, Kilicaslan K, Atabay O, Güney A (2012) Vehicle dynamics analysis of a heavy-duty commercial vehicle by using multibody simulation methods. Int J Adv Manuf Technol 60:825–839

    Article  Google Scholar 

  6. Sarcar MMM, Rao KM, Narayan KL (2008) Computer aided design and manufacturing. Prentice-Hall of India Private Limited, New Delhi

    Google Scholar 

  7. Tan JR, Liu ZY (2007) Digital mockup: key technologies and product applications. China Machine Press, Beijing

    Google Scholar 

  8. Takai S, Jikar VK, Ragsdell KM (2011) An approach toward integrating top-down and bottom-up product concept and design selection. J Mech Des 133(7):071007

    Article  Google Scholar 

  9. Xiang C, Gao SM, Yang YD, Zhang ST (2012) Multi-level assembly model for top-down design of mechanical products. Comput Aided Des 44:1033–1048

    Article  Google Scholar 

  10. He B, Song W, Wang YG (2013) A feature-based approach towards an integrated product model in intelligent design. Int J Adv Manuf Technol 69:15–30

    Article  Google Scholar 

  11. Mas F, Ríos J, Menéndez JL, Gómez A (2013) A process-oriented approach to modeling the conceptual design of aircraft assembly lines. Int J Adv Manuf Technol 67(1–4):771–784

    Article  Google Scholar 

  12. Fritzson P (2011) Introduction to modeling and simulation of technical and physical systems with Modelica. John Wiley & Sons, Hoboken

    Book  Google Scholar 

  13. Kim I, Lee J, Mun D, Jun H, Hwang J, Kim JT, Han S (2012) Securing design checking service for the regulation-based product design. Comput Ind 63(6):586–596

    Article  Google Scholar 

  14. Bruno F, Caruso F, Li KZ, Milite A, Muzzupappa M (2009) Dynamic simulation of virtual prototypes in immersive environment. Int J Adv Manuf Technol 43:620–630

    Article  Google Scholar 

  15. Casper SA, Ole S (2013) Topology optimization of fluid-structure-interaction problems in poroelasticity. Comput Methods Appl Mech Eng 258:55–62

    Article  MATH  MathSciNet  Google Scholar 

  16. Vojislav P, Pedro R, Rafael T (2010) A new computational method for MAT of injected parts integrated in part modelling stage. Int J Prod Res 48:2431–2447

    Article  MATH  Google Scholar 

  17. Agrawal SK, Dubey VN, Gangloff JJ, Elizabeth B, Ying M, Vivek SW (2009) Design and optimization of a cable driven upper arm exoskeleton. J Med Devices 3:1–8

    Article  Google Scholar 

  18. Ng CC, Ong SK, Nee AYC (2006) Design and development of 3-DOF modular micro parallel kinematic manipulator. Int J Adv Manuf Technol 31:188–200

    Article  Google Scholar 

  19. Nikranjbar A, Ebrahimi M, Wood AS (2009) Model-based fault diagnosis of induction motor eccentricity using particle swarm optimization. Proc Inst Mech Eng Part C J Mech Eng Sci 223(3):607–615

    Article  Google Scholar 

  20. Kuhl F, Dahmann J, Weatherly R (2000) Creating computer simulation systems: an introduction to the high level architecture. Prentice Hall PTR, Englewood Cliffs

    MATH  Google Scholar 

  21. Peak RS, Fulton RE, Nishigaki I, Okamoto N (1998) Integrating engineering design and analysis using a multi-representation approach. Eng Comput 14:93–114

    Article  Google Scholar 

  22. Quadros WR, Shimada K, Owen SJ (2004) Skeleton-based computational method for the generation of a 3D finite element mesh sizing function. Eng Comput 20:249–264

    Article  Google Scholar 

  23. Wan CJ, Tan JR, Liu ZY (2005) Research on motion simulation based on solid and skeleton hybrid model under virtual environment. Chin J Mech Eng 16(8):706–711

    Google Scholar 

  24. Brandl H, Johanni R, Otter M (1987) An algorithm for the simulation of multibody systems with kinematic loops. The IFToMM Seventh World Congress on the Theory of Machines and Mechanism, Seville, Spain, September 17–22, 1987. Pergamon Press, Oxford

  25. Mun D, Hwang J, Han S (2009) Protection of intellectual property based on a skeleton model in product design collaboration. Comput Aided Des 41:641–648

    Article  Google Scholar 

  26. He B, Tang W, Cao JT (2014) Virtual prototyping-based multibody systems dynamics analysis of offshore crane. Int J Adv Manuf Technol 75:161–180

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, School of Mechatronic Engineering and Automation, Shanghai University, 149 Yanchang Rd, Shanghai, 200072, China

    Bin He, Pengchang Zhang, Jintao Cao, Shan Huang & Wen Tang

  2. Ningbo Entry-exit Inspection and Quarantine Bureau, Ningbo, China

    Ningfeng Zhu

Authors
  1. Bin He
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Pengchang Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ningfeng Zhu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jintao Cao
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Shan Huang
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Wen Tang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Bin He.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

He, B., Zhang, P., Zhu, N. et al. Skeleton model-based approach to integrated engineering design and analysis. Int J Adv Manuf Technol 85, 1105–1115 (2016). https://doi.org/10.1007/s00170-015-8047-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-015-8047-5

Keywords

Search

Navigation