An Evolutionary Modeling Approach for Automotive Bumper System Design and Analysis

[+] Author and Article Information
Ping (Christine) Ge

Department of Mechanical Engineering, Oregon State University, Rogers Hall 416, Corvallis, OR 97331-6001e-mail: christine.ping-ge@orst.edu

Nancy Wang

Rapid Engineering of Vehicle Structures, Manufacturing Systems Department, Ford Motor Company, 2101 Village Rd., P.O. Box 2053, Dearborn, MI 48121e-mail: nwang1@ford.com

Stephen C-Y. Lu

The IMPACT Laboratory, School of Engineering, University of Southern California, 3650 McClintock Ave., OHE 430M, Los Angeles, CA 90089-1453e-mail: sclu@usc.edu

J. Comput. Inf. Sci. Eng 2(3), 141-149 (Jan 02, 2003) (9 pages) doi:10.1115/1.1529212 History: Received January 01, 2001; Revised October 01, 2002; Online January 02, 2003
Copyright © 2002 by ASME
Your Session has timed out. Please sign back in to continue.


Montgomery, D. C., 1997, Design and Analysis of Experiments, John Wiley & Sons, New York.
Box, G. E. P., and Draper, N. R., 1987, Empirical Model-Building and Response Surfaces, John Wiley & Sons, New York.
Taguchi, G., 1987, System of Experimental Design, UNIPUB/Kraus International Publications, New York, and American Supplier Institute, Inc., Michigan.
Myers, R. H., and Montgomery, D. C., 1995, Response Surface Methodology: Process and Product Optimization Using Designed Experiments, John Wiley & Sons, New York.
Sacks,  J., Welch,  W. J., Mitchell,  T. J., and Wynn,  H. P., 1989, “Design and Analysis of Computer Experiments,” Stat. Sci., 4(4), pp. 409–435.
Welch,  W. J., Buck,  R. J., Sacks,  J., Wynn,  H. P., Mitchell,  T. J., and Morris,  M. D., 1992, “Screening, Predicting, and Computer Experiments,” Technometrics, 34(1), pp. 15–25.
Koehler, J. R., and Owen, A. B., 1996, “Computer Experiments,” Handbook of Statistics (S. Ghosh, and C. R. Rao, eds.), Elsevier Science, New York, pp. 261–308.
Russell, S. J., and Norvig, P., 1995, Artificial Intelligence, Prentice Hall, Upper Saddle River, New Jersey.
Monostori,  L., Van Brussel,  H., and Westkamper,  E., 1996, “Machine Learning Approaches to Manufacturing,” CIRP Ann., 45, pp. 1–38.
Yamaguti, M., Hayakawa, K., Iso, Y., and Mori. M., etc., 1990, Inverse Problem in Engineering Science, Springer-Verlag, London.
Kleijnen, J. P. C., 1987, Statistical Tools for Simulation Practitioners, Marcel Dekker, New York.
Simpson, T. W., Peplinski, J., Koch, P. N., and Allen, J. K., 1997, “On the Use of Statistics In Design and the Implications for Deterministic Computer Experiments,” Proceedings of 1997 ASME Design Engineering Technical Conferences, Design Theory and Methodology Division, September 14–17, Sacramento, California, DETC97/DTM3881.
Arciszewski,  T., 1996, “Learning Engineering: The Key to Automatic Knowledge Acquisition,” Artif. Intell. Eng., 10, pp. 127–129.
Duffy,  S. M., and Duffy,  A. H. B., 1996, “Sharing the Learning Activity Using Intelligent CAD,” Artif. Intell. Eng., 10, pp. 83–100.
Duff, A., 1998, “Outcome of the AID98 Machine Learning in Design,” Special Issue of Artificial Intelligence for Engineering Design, Analysis and Manufacturing, http://www.cad.strath.ac.uk/∼alex/AID/AID98/outcome.html
Lu,  S. C-Y., and Tcheng,  D. K., 1990, “Building Layered Models to Support Engineering Decision Making: A Machine Learning Approach,” ASME J. Eng. Ind., 113(1), pp. 1–9.
Chen, W., Allen, J. K., and Mistree, F., 1997, “A Robust Concept Exploration Method for Enhancing Productivity in Concurrent Systems Design,” Concurrent Engineering: Research and Applications, 5 (3) pp. 203–217.
Yerramareddy, S., and Lu, S. C-Y., 1993, “Hierarchical and Interactive Decision Refinement Methodology for Engineering Design,” Research in Engineering Design: Theory, Applications, and Concurrent Engineering, Springer-Verlag, New York.
Lu,  S. C.-Y., Li,  D., Cheng,  J., and Wu,  C. L., 1997, “A Model Fusion Approach to Support Negotiation During Complex Engineering System Design,” CIRP Ann., 46, pp. 90–95.
Li, D., Lu, S. C.-Y., Bukkapatnam, S. T. S., and Pien, J. S., 1998, “Building System-level Models for Spray Forming Process,” Proceedings of the ALCOA Owen Richmond Symposium, Pittsburgh, Philadelphia, July.
Becker, B. J., and Kaepp, G. A., 1997, “BDS: A Knowledge-based Bumper Design System,” Proceedings of 1997 ASME Design Engineering Technical Conferences, Computer and Information in Engineering Design Division, September 14–18, Sacramento, California.
Concept Analysis Corporation, 1995, CBUMP USERS MANUAL, Version 20.0, October.
Ge, P., and Wang, N., 2000, “DoE Study in Building Surrogate Models for Complex Systems,” Proceedings of 2000 ASME Design Engineering Technical Conferences, Computer and Information in Engineering Design Division, September 10–13, Baltimore, Maryland, DETC2000/CIE-1465.


Grahic Jump Location
Surrogate Modeling in Design and Analysis
Grahic Jump Location
A_daptive and I_nteractive M_odeling S_ystem (AIMS) (a) Components and Functionality of AIMS; (b) Modules in AIMS-based Surrogate Modeling and Results
Grahic Jump Location
A Framework for Evolutionary Modeling Approach
Grahic Jump Location
FEA Mesh Model for Taurus Front Bumper Barrier 5 mph Impact
Grahic Jump Location
A Preliminary-Version of Evolutionary Modeling Approach at the Early Stage of Automotive Bumper System Design and Analysis
Grahic Jump Location
Beam Deflection (bxd) Model
Grahic Jump Location
Performance Characteristics of Beam Deflection (bxd) vs. Beam Thickness (tn)
Grahic Jump Location
Comparison of Simulation Results with Physical Test Data



Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In