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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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).
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).
Doltsinis, I., Kang, Z.: Robust Design of Structures Using Optimization Methods. Computer Methods in Applied Mechanics and Engineering 193, 2221–2237 (2004)
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)
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)
Walter, E., Pronzato, L.: Identification of Parametric Models from Experimental Data. Springer, Berlin (1997)
Robinson, T.J., Borror, C.M., Myers, R.H.: Robust Parameter Design: A Review. Quality and Reliability Engineering International 20(1), 81–101 (2004)
Vuchkov, I.N., Boyadjieva, L.N.: Quality Improvement with Design of Experiments: A Response Surface Approach. Kluwer Academic Publishers, Boston (2002)
Soderstrom, T., Stoica, P.: System Identification. Prentice Hall, Upper Saddle River (1989)
Blanke, M., Kinnaert, M., Lunze, J., Staroswiecki, M. (eds.): Diagnosis and Fault-Tolerant Control. Springer-Verlag, New York (2003)
Hamrol, A., Mantura, W.: Quality Management. Theory and Practice, PWN, Warsaw (2002). (in Polish)
EN 60079–0: Electrical Apparatus for Explosive Gas Atmospheres. Part 0: General Requirements (2004).
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)
Phadke, S.M.: Quality Engineering Using Robust Design. Prentice Hall, Englewood Cliffs, New York (1989)
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)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Mrugalska, B. (2013). Design and Quality Control of Products Robust to Model Uncertainty and Disturbances. In: Windt, K. (eds) Robust Manufacturing Control. Lecture Notes in Production Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30749-2_36
Download citation
DOI: https://doi.org/10.1007/978-3-642-30749-2_36
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30748-5
Online ISBN: 978-3-642-30749-2
eBook Packages: EngineeringEngineering (R0)