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Design and Quality Control of Products Robust to Model Uncertainty and Disturbances

  • Beata MrugalskaEmail author
Conference paper
Part of the Lecture Notes in Production Engineering book series (LNPE)

Abstract

As increasingly today more and more complex products are designed, manufactured or maintained. Later changes to design solutions are costly or impossible to come up with the suggestions for consideration and application by designers, engineers, manufacturers. Thus, nowadays mathematical models are widely used in the process of product design and control. This paper provides a comprehensive overview of a new concept of modelling in these both stages. In particular, a new method of product design robust to disturbances existing in a technological process is presented. The application of mathematical modelling and methods of parameter estimation enabled formulating an approach in which parameters and acceptable tolerance of manufacturing product parameters are calculated. Moreover, the proposed approach can be easily extended and applied to the product quality control.

Keywords

Quality control Parameter estimation Product design Robust modelling 

References

  1. 1.
    Mrugalska B., Kawecka-Endler A.: An Analysis of the Design Methods of Products Robust to Disturbances. In: XI Inter. Conf. on Human Aspects of Advanced Manufacturing: Agility and Hybryd Automation, Value Stream Activities Management, 117–124 Poznań (2007).Google Scholar
  2. 2.
    Mrugalska B.: Product Design Robust to Disturbances in Technological Process. In: Fertsch M., Grzybowska K., Stachowiak A., (eds.) Production Management and Logistics - Concepts, Methods and Practical Solutions, pp. 460–468. Poznań University of Technology, Poznań (2006) (in Polish).Google Scholar
  3. 3.
    Doltsinis, I., Kang, Z.: Robust Design of Structures Using Optimization Methods. Computer Methods in Applied Mechanics and Engineering 193, 2221–2237 (2004)zbMATHCrossRefGoogle Scholar
  4. 4.
    Hendrix, E.M.T., Mecking, C.J., Hendriks, T.H.B.: Finding Robust Solutions for Product Design Problems. European Journal of Operational Research. 92(1), 28–36 (1996)zbMATHCrossRefGoogle Scholar
  5. 5.
    Mrugalska, B., Kawecka-Endler, A.: Practical Application of Product Design Method Robust to Disturbances. Human Factors and Ergonomics in Manufacturing & Service Industries. 22, 121–129 (2012)CrossRefGoogle Scholar
  6. 6.
    Walter, E., Pronzato, L.: Identification of Parametric Models from Experimental Data. Springer, Berlin (1997)zbMATHGoogle Scholar
  7. 7.
    Robinson, T.J., Borror, C.M., Myers, R.H.: Robust Parameter Design: A Review. Quality and Reliability Engineering International 20(1), 81–101 (2004)CrossRefGoogle Scholar
  8. 8.
    Vuchkov, I.N., Boyadjieva, L.N.: Quality Improvement with Design of Experiments: A Response Surface Approach. Kluwer Academic Publishers, Boston (2002)Google Scholar
  9. 9.
    Soderstrom, T., Stoica, P.: System Identification. Prentice Hall, Upper Saddle River (1989)Google Scholar
  10. 10.
    Blanke, M., Kinnaert, M., Lunze, J., Staroswiecki, M. (eds.): Diagnosis and Fault-Tolerant Control. Springer-Verlag, New York (2003)zbMATHGoogle Scholar
  11. 11.
    Hamrol, A., Mantura, W.: Quality Management. Theory and Practice, PWN, Warsaw (2002). (in Polish)Google Scholar
  12. 12.
    EN 60079–0: Electrical Apparatus for Explosive Gas Atmospheres. Part 0: General Requirements (2004).Google Scholar
  13. 13.
    Singh, G.K., Kazzaz, A.S.: Induction Machine Drive Condition Monitoring and Diagnostic Research - A Survey. Electric Power Systems Research. 64(2), 145–158 (2003)CrossRefGoogle Scholar
  14. 14.
    Phadke, S.M.: Quality Engineering Using Robust Design. Prentice Hall, Englewood Cliffs, New York (1989)Google Scholar
  15. 15.
    Moseler, O., Isermann, R.: Application of Model-Based Fault Detection to a Brushless DC Motor. IEEE Transactions on Industrial Electronics 47(5), 1015–1020 (2000)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Poznań University of TechnologyFaculty of Engineering ManagementPoznańPoland

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