Skip to main content

Mechanical Design Optimization Using the Existing Optimization Techniques

  • Chapter
  • First Online:
  • 3955 Accesses

Part of the book series: Springer Series in Advanced Manufacturing ((SSAM))

Abstract

This chapter presents the applications of advanced optimization algorithms such as ABC, PSO, DE, BBO and AIA to the design optimization of mechanical elements such as a simple gear train, radial ball bearing, Belleville spring, multi-plate disc clutch brake, robot gripper, hydrostatic thrust bearing and a four stage gear train. The objective functions, design variables and the constraints of each of the design optimization problems are described. The results of application of the advanced optimization algorithms are presented and the performance comparison is made between the algorithms. The results are also compared with the results given by the previous researchers.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
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

Learn about institutional subscriptions

References

  1. Yokota T, Taguchi T, Gen M (1998) A solution method for optimal weight design problem of the gear using genetic algorithms. Comput Ind Eng 35:523–526

    Article  Google Scholar 

  2. Norton RL (2001) Machine design: an integrated approach. Person Education, Asia New Delhi

    Google Scholar 

  3. Juvinall RC, Marshek KM (2000) Fundamentals of machine components design. Wiley, New York

    Google Scholar 

  4. Gupta S, Tiwari R, Shivashankar BN (2007) Multi-objective design optimization of rolling bearings using genetic algorithm. Mech and Mach Theory 42:1418–1443

    Article  MATH  Google Scholar 

  5. Changsen W (1991) Analysis of rolling element bearings. Mechanical Engineering Publications Ltd, London

    Google Scholar 

  6. Harris TA (2000) Rolling bearing analysis. Wiley, New York

    Google Scholar 

  7. Coello CAC (2000) Use of a self-adaptive penalty approach for engineering optimization problems. Comput in Ind 41:113–127

    Article  Google Scholar 

  8. Osyczka A (2002) Evolutionary algorithms for single and multicriteria design optimization. Stud Fuzzyness Soft Comput, Physica-Verlag, Heidelberg

    Google Scholar 

  9. Rao RV, Savsani VJ, Vakharia DP (2011) Teaching–learning-based optimization: a novel method for constrained mechanical design optimization problems. Comput Aided Des 43:303–315

    Article  Google Scholar 

  10. Osyczka A, Krenich S, Karas K (1999) Optimum design of robot grippers using genetic algorithms. In: Proceedings of the 3rd world congress of structural and multidisciplinary optimization, New York

    Google Scholar 

  11. Pomrehn LP, Papalambros PY (1995) Discrete optimal formulation with application to gear train design. ASME J Mech Des 117(3):419–424

    Article  Google Scholar 

  12. Deb K, Goyal M (1996) A combined genetic adaptive search (geneAS) for engineering design. Comput sci and informatics 26:30–35

    Google Scholar 

  13. Deb K, Srinivasan A (2005) Innovization: innovation of design principles through optimization. KanGAL Report No. 2005007. Kanpur Genetic Algorithms Laboratory, Department of Mechanical Engineering, Indian Institute of Technology Kanpur, India

    Google Scholar 

  14. He S, Wu QH, Wen JY, Saunders JR, Paton RC (2004) A particle swarm optimizer with passive congregation. Biosystems 78(1–3):135–147

    Article  Google Scholar 

  15. Khorshid E, Seireg A (1999) Discrete nonlinear optimisation by constraint decomposition and designer interaction. Int J Comput Appl in Technol 12:76–82

    Google Scholar 

  16. Dolen M, Kaplan H, Seireg A (2005) Discrete parameter-nonlinear constrained optimisation of a gear train using genetic algorithms. Int J Comput Appl Tech 24(2):110–121

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag London

About this chapter

Cite this chapter

Rao, R.V., Savsani, V.J. (2012). Mechanical Design Optimization Using the Existing Optimization Techniques. In: Mechanical Design Optimization Using Advanced Optimization Techniques. Springer Series in Advanced Manufacturing. Springer, London. https://doi.org/10.1007/978-1-4471-2748-2_3

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-2748-2_3

  • Published:

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-2747-5

  • Online ISBN: 978-1-4471-2748-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics