Skip to main content

Robust Tolerance Design in Structural Dynamics

  • Conference paper
  • First Online:
Topics in Model Validation and Uncertainty Quantification, Volume 5

Abstract

Tolerance is a major source of uncertainty and contributes significantly to the variation of dynamic responses, worsening the repeatability of assembled products. A systematic tolerance design strategy is required to control this kind of variation, and an approach for tolerance design based on robust design theory is proposed in this paper with a focus on the optimization of the dynamic response. The approach is based on Taguchi’s method, and performed by the following steps: (1) define the input and output parameters for the problem; (2) determine the effects of the control factors on the dynamic responses of interest; (3) identify factors to be adjusted and transform the problem into a multi-objective optimization. A benchmark tolerance design of a joint assembly of aero engine casings is used to verify the feasibility of the approach.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Rout BK, Mittal RK (2006) Tolerance design of robot parameters using Taguchi method. Mech Syst Signal Process 20:1832–1852

    Article  Google Scholar 

  2. Fowlkes WY, Creveling CM (1995) Engineering methods for robust product design: using Taguchi methods in technology and product development. Addision-Wesley, Reading

    Google Scholar 

  3. Zang C, Friswell MI, Mottershead JE (2005) A review of robust optimal design and its application in dynamics. Comput Struct 83:315–326

    Article  Google Scholar 

  4. Marano GC, Greco R (2010) A comparison between different robust optimum design approaches: application to tuned mass dampers. Probab Eng Mech 25:108–118

    Article  Google Scholar 

  5. Marano GC, Sgobba S (2008) Robust optimum design of tuned mass dampers devices in random vibrations mitigation. J Sound Vib 313:472–492

    Article  Google Scholar 

  6. Marano GC, Quaranta G (2010) Fuzzy-entropy based robust optimization criteria for tuned mass dampers. Earthq Eng Eng Vib 9:285–294

    Article  Google Scholar 

  7. Daneshvar N, Khataee AR (2007) Biodegradation of dye solution containing Malachite Green: optimization of effective parameters using Taguchi method. J Hazard Mater 143:214–219

    Article  Google Scholar 

  8. Ghani JA, Choudhury IA (2004) Application of Taguchi method in the optimization of end milling parameters. J Mater Process Technol 145:84–92

    Article  Google Scholar 

  9. Fusayasu H, Yokota Y (1998) Optimization of a magnetic actuator with Taguchi method and multivariate analysis method. IEEE Trans Magn 34(4):2138–2140

    Article  Google Scholar 

  10. Chang HH (2008) A data mining approach to dynamic multiple responses in Taguchi experimental design. Expert Syst Appl 35:1095–1103

    Article  Google Scholar 

  11. Mace BR, Vandepitte D, Lardeur P (2011) Editorial: uncertainty in structural dynamics. Finite Elem Anal Des 47:1–3

    Article  Google Scholar 

  12. Creveling CM (1996) Tolerance design – a handbook for developing optimal specifications. Addison Wesley Longman, Reading

    Google Scholar 

  13. Das I, Dennis JE (1997) A closer look at drawbacks of minimizing weighted sums of objectives for Pareto set generation in multicriteria optimization problems. Struct Optim 14:63–69

    Article  Google Scholar 

  14. Goldberg R (2005) Evolutionary multiobjective optimization. Springer, London

    MATH  Google Scholar 

  15. Zitzler E, Thiele L (1999) Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach. IEEE Trans Evol Comput 3(4):257–271

    Article  Google Scholar 

  16. Srinivas N, Deb K (1994) Multi-objective optimization using non-dominated sorting in genetic algorithms. J Evol Comput 2(3):221–248

    Article  Google Scholar 

Download references

Acknowledgements

The financial support of the National Natural Science Foundation of China (Project No. 51175244), Research Fund for the Doctoral Program of Higher Education of China (Project No. 20093218110008) and the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD) are gratefully acknowledged. J. Yang also acknowledges the support of Fundamental Research Funds for the Central Universities of China and Funds of the Graduate Innovation Center in NUAA (Project No. kfjj120104).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chaoping Zang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 The Society for Experimental Mechanics, Inc.

About this paper

Cite this paper

Zang, C., Yang, J., Friswell, M.I. (2013). Robust Tolerance Design in Structural Dynamics. In: Simmermacher, T., Cogan, S., Moaveni, B., Papadimitriou, C. (eds) Topics in Model Validation and Uncertainty Quantification, Volume 5. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6564-5_16

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-6564-5_16

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-6563-8

  • Online ISBN: 978-1-4614-6564-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics