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TECHNICAL PAPERS

A Methodology for Model Selection in Engineering Design

[+] Author and Article Information
Rajesh Radhakrishnan

Algor, Inc., 150 Beta Drive, Pittsburgh, PA 15238

Daniel A. McAdams

Department of Mechanical and Aerospace Engineering, University of Missouri-Rolla, Rolla, MI 65409e-mail: dmcadams@umr.edu

J. Mech. Des 127(3), 378-387 (May 10, 2005) (10 pages) doi:10.1115/1.1830048 History: Received August 13, 2003; Revised June 09, 2004; Online May 10, 2005
Copyright © 2005 by ASME
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References

Hazelrigg,  G. A., 1999, “On the Role and Use of Mathematical Models in Engineering Design,” J. Mech. Des., 121, pp. 336–341.
Marczyk, J., 1999, Principles of Simulation Based Computer Aided Engineering, FIM Publications, Barcelona.
Ulrich, Karl T., and Eppinger, S. D., 1995, Product Design and Development, McGraw-Hill, New York.
Otto,  K., 1994, “Measurement Methods for Product Evaluation,” Korean J. Chem. Eng., 7, pp. 86–101.
Otto, K., and Wood, K. L., 1995, “Estimating Errors in Concept Selection,” Proc. of ASME Design Theory and Methodology Conference, Boston, ASME, New York, pp. 397–412.
Von Neumann, J., and Morgenstern, O., 1964, Theory of Games and Economic Behavior (Science Editions), 3rd Edition, Wiley, New York.
Keeney, R. L., and Raiffa, H., 1993, Decisions With Multiple Objectives: Preferences and Value Tradeoffs, Cambridge University Press, New York.
Thurston,  D. L., Carnahan,  J. V., and Liu,  T., 1994, “Optimization of Design Utility,” J. Mech. Des., 116, pp. 801–808.
Thurston,  D. L., and Carnahan,  J. V., 1992, “Fuzzy Ratings and Utility Analysis in Preliminary Design Evaluation of Multiple Attributes,” J. Mech. Des., 114, pp. 648–658.
Otto, K. N., and Antonsson, E. K., 1993, “The Method of Imprecision Compared to Utility Theory for Design Selection Problems,” Proc. of ASME Design Theory and Methodology Conference, Albuquerque, ASME, New York, pp. 167–173.
Locascio, A., and Thurston, D. L., 1994, “Quantifying the House of Quality for Optimal Product Design,” Proc. of ASME Design Theory and Methodology Conference, Minneapolis, ASME, New York, pp. 43–54.
Magnusson, S. E., 1997, “Uncertainty Analysis: Identification, Quantification and Propagation,” Report 7002, Lund University.
Draper,  D., 1995, “Assessment and Propagation of Model Uncertainty,” J. R. Stat. Soc. Ser. B. Methodol., 57(1), pp. 45–97.
Alvin, K. F., Oberkampf, W. L., Diegert, K. V., and Rutherford, B. M., 1998, “Uncertainty Quantification in Computational Structural Dynamics: A New Paradigm for Model Validation,” Proc. of 16th Int. Modal Analysis Conference, Santa Barbara, 2 , pp. 1191–1197.
Doraiswamy, S., Krishnamurty, S., and Grosse, I. R., 1999, “Decision Making in Finite Element Analysis,” Proc. of ASME Design Engineering Technical Conferences, Las Vegas, ASME, New York, Paper No. DETC99/CIE-9058.
Doraiswamy, S., and Krishnamurty, S., 2000, “Bayesian Analysis in Engineering Model Assessment,” Proc. of ASME Design Engineering Technical Conferences, Baltimore, ASME, New York, Paper No. DETC2000/DTM-14546.
Radhakrishnan, R., and McAdams, D. A., 2001, “A Framework for Sufficiency Estimation of Engineering Design Models,” Proc. of ASME Design Engineering Technical Conferences, Pittsburgh, ASME, New York, Paper No. 2001-DETC/DTM-21699.
Shigley, J. E., and Mischke, C. R., 2001, Mechanical Engineering Design, 6th Edition, McGraw-Hill, New York.
Sveshnikov, A., 1968, Problems in Probability Theory, Mathematical Statistics, and the Theory of Random Functions, Dover Publications, New York.
McAdams, D. A., and Wood, K. L., 2000, “Theoretical Foundations for Tuning Parameter Tolerance Design,” Proc. of ASME Design Engineering Technical Conferences, Baltimore, ASME, New York, Paper No. DETC2000/DFM-14003.

Figures

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View of the sway bar system (from the rear of the car)
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Schematic showing the operation of the sway bar system
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Close-up view of the cantilever spring in flat position
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Line drawing of Model 1
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Line drawing of Model 2
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Line drawing of Model 3
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Line drawing of Model 4
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Concept variants for a bicycle wheel
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Schematic showing sources of error in engineering design models
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Tool used for model selection guidance (adapted from 3)
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Diagram showing the steps of the Model Sufficiency Estimation Technique
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Utility function for maximum stress (in MPa)
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Utility function for stiffness (in N/m)
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Utility function for number of cycles
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Utility function for cost (in $)

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