Skip to main content

Intelligent Automated Design of Machine Components Using Antipatterns

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9375))

Abstract

The article presents a methodology for the analysis of similarities between structural features of designed machine elements and the corresponding antipatterns. This methodology allows normalization of selected design solutions’ characteristic features. The defined antipatterns are generic definitions of the possible incorrect design solutions. The article also presents antipatterns’ attributes, as well as classification based on the root causes of errors in designed solutions. Examples of a step shaft have been used to illustrate the methodology of designed solution and its antipattern correspondence evaluation. Root causes of a design error, its importance, and similarities shared with other design errors have been analyzed for each of the presented antipatterns. Correctly designed shafts - not having the characteristics of an antipattern - have also been presented.

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   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

References

  1. Brown, W.J., McCormick, H.W., Thomas, S.W.: AntiPatterns in Project Management. Wiley, New York (2000)

    Google Scholar 

  2. Kacalak, W., Majewski, M.: New Intelligent interactive automated systems for design of machine elements and assemblies. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds.) ICONIP 2012, Part IV. LNCS, vol. 7666, pp. 115–122. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  3. Majewski, M., Zurada, J.M.: Sentence recognition using artificial neural networks. Knowl. Based Syst. 21(7), 629–635 (2008). Elsevier

    Article  Google Scholar 

  4. Piegl, L.A.: Ten challenges in computer-aided design. Comput. Aided Des. 37(4), 461–470 (2005). Elsevier

    Article  Google Scholar 

  5. Riel, A.J.: Object-Oriented Design Heuristics. Addison-Wesley, Reading (1996)

    Google Scholar 

  6. Specht, D.F.: Probabilistic neural networks. Neural Netw. 3(1), 109–118 (1990)

    Article  Google Scholar 

Download references

Acknowledgements

This project was financed from the funds of the National Science Centre (Poland) allocated on the basis of the decision number DEC-2012/05/B/ST8/02802.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Maciej Majewski .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Kacalak, W., Majewski, M., Budniak, Z. (2015). Intelligent Automated Design of Machine Components Using Antipatterns. In: Jackowski, K., Burduk, R., Walkowiak, K., Wozniak, M., Yin, H. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2015. IDEAL 2015. Lecture Notes in Computer Science(), vol 9375. Springer, Cham. https://doi.org/10.1007/978-3-319-24834-9_30

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-24834-9_30

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24833-2

  • Online ISBN: 978-3-319-24834-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics