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Optimization and Engineering

, Volume 1, Issue 3, pp 305–322 | Cite as

An Affordable Approach for Robust Design of Thick Laminated Composite Structure

  • Wei Chen
  • Wei Fu
  • S.B. Biggers
  • R.A. Latour
Article

Abstract

A systematic and affordable approach is proposed for the robust design of thick laminated composite structures. Our approach integrates the principles of the Robust Concept Exploration Method (RCEM) for designing complex engineering systems and the hierarchical multi-level optimization procedure for managing the complexity of composite structure optimization. Foundational to the proposed approach is the use of Design of Experiments (DOE) techniques and the Response Surface Methodology (RSM) for improving computational efficiency in using high fidelity design simulations; and the use of the robust design method for improving the quality of a product that is insensitive to potential variations of design parameters. Our approach is illustrated through the design of a laminated composite femoral component for hip joint arthroplasty. The solution yields the robust design of a composite hip implant, which is applicable for a range of bone stiffness, thereby eliminating the need to design specifically for an individual.

robust design multi-level optimization design of experiments composite structure design hip implant 

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References

  1. APC-AS4 Mechanical Properties, in Thermoplastic Composite Materials Handbook, ICI Thermoplastic Composites Inc., Cincinnati, OH., 1991.Google Scholar
  2. R. Bailey, J. K. Allen, B. Bras, and F. Mistree, “Asystem level approach to the design of an industrial ecosystem,” in 1997 ASME Design Engineering Technical Conference, Sacramento, Sept. 1997. Paper no. DETC97DAC3962.Google Scholar
  3. G. E. P. Box, W. G. Hunter, and J. S. Hunter, Statistics for Experiments, John Wiley & Sons: New York, 1978.Google Scholar
  4. G. E. P. Box and N. R. Draper, Empirical Model-building and Response Surfaces, JohnWiley & Sons: New York, 1987.Google Scholar
  5. W. Chen, J. K. Allen, K.-L. Tsui, and F. Mistree, “A procedure for robust design,” Transaction of the ASME Journal, Journal of Mechanical Design vol. 118, pp. 478-485, 1996.Google Scholar
  6. W. Chen, J. K. Allen, and F. Mistree, “The robust concept exploration method for enhancing concurrent systems design,” Journal of Concurrent Engineering: Research and Applications vol. 5, no. 3, pp. 203-217, 1997.Google Scholar
  7. P. Conti and A. Cella, “An optimal design of multilayered laminates based on finite element stress analysis,” Composite Material Technology, ASME vol. 45, pp. 205-212, 1992.Google Scholar
  8. W. Fu, “Design optimization of a laminated composite femoral component for hip joint arthroplasty,” Ph.D. dissertation, Clemson University, Clemson, SC, Dec. 1998.Google Scholar
  9. W. Fu, S. B. Biggers, Jr., and R. A. Latour, Jr., “Design optimization of a laminated composite femoral component for hip joint arthroplasty,” Journal of Thermoplastic Composite Materials vol. 11, no. 2, pp. 99-112, 1998.Google Scholar
  10. H. Fukunaga and G. N. Vanderplaats, “Strength optimization of laminated composites with respect to layer thickness and/or layer orientation angle,” Computers & Structures vol. 40, no. 6, pp. 1429-1439, 1991.Google Scholar
  11. P. Hajela and L. Berke, “Neural networks in structural analysis and design: An overview,” International Journal for Computing Systems in Engineering vol. 3, no. 1-4, pp. 525-539, 1992.Google Scholar
  12. A. Khuri and J. A. Cornell, Response Surfaces: Designs and Analysis, Marcel Dekker Inc.: New York, 1987.Google Scholar
  13. P. N. Koch, A. Barlow, J. K. Allen, and F. Mistree, “Configuring turbine propulsion systems using robust concept exploration,” in 1996 ASME Design Automation, Conference, Irvine, California, Aug. 1996, paper number 96-DETC/DAC-1285.Google Scholar
  14. N. Kumar and T. R. Tauchert, “Multiobjective design of symmetrically laminated plates,” Transactions for the ASME vol. 114, pp. 620-625, 1992.Google Scholar
  15. U. Lautenschlager, H. Eschenauer, and F. Mistree, “Components of turbo systems-A proposal for finding better layouts,” in AIAA/NASA/USAF/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Bellevue, Washington, Sept. 4-6, 1996, pp. 1025-1035.Google Scholar
  16. G. Matheron, “Principles of geostatistics,” Economic Geology vol. 58, pp. 1246-1266, 1963.Google Scholar
  17. D. C. Montgomery, Introduction to Statistical Quality Control, John Wiley & Sons: New York, 1991.Google Scholar
  18. A. Parkinson, C. Sorenson, and N. Pourhassan, “A general approach for robust optimal design,” ASME Journal of Mechanical Design vol. 115, pp. 74-80, 1993.Google Scholar
  19. M. S. Phadke, Quality Engineering using Robust Design, Prentice Hall: Englewood Cliffs, NJ, 1989.Google Scholar
  20. J. D. Peplinski, J. K. Allen, and F. Mistree “Integrating product design with manufacturing process design using the robust concept exploration method,” 1996 ASME Design Automation, Conference, Irvine, California, Aug. 1996, paper number 96-DETC/DTM-1502.Google Scholar
  21. T. W. Simpson, W. Chen, J. K. Allen, and F. Mistree, “Conceptual design of a family of products through the use of the robust concept exploration method,” in AIAA/NASA/USAF/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Bellevue, Washington, Sept. 4-6, 1996.Google Scholar
  22. M. Smith, Neural Networks for Statistical Modeling, Von Nostrand Reinhold: New York, 1993.Google Scholar
  23. J. Sobieszczanski-Sobieski, B. B. James, and A. R. Dovi, “Structural optimization by multilevel decomposition,” AIAA Journal vol. 23, no. 11, pp. 1775-1782, 1985.Google Scholar
  24. S. Srinivasan, S. B. Biggers, Jr., and R. A. Latour, Jr., “Identifying global/local interface boundaries using an objective search method,” International Journal for Numerical Methods in Engineering vol. 39, pp. 805-828, 1996.Google Scholar
  25. G. Taguchi, Y. Yokoyama, and Y. Wu, Taguchi Methods: On-Line Production, ASI Press, 1994.Google Scholar
  26. R. Unal, R. A. Lepsch,W. Engelund, and D. O. Stanley, “Approximation model building and multidisciplinary design optimization using response surface methods,” in Proceedings, 6th AIAA/NASA/USAF/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Bellevue,WA, Sept. 4-6, 1996, pp. 592-598. AIAA paper no. 96-4044-CP.Google Scholar
  27. G. Venter, R. T. Haftka, and J. H. Starnes, Jr., “Construction of response surfaces for design optimization applications,” in Proceedings of 6th AIAA/NASA/USAF/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Bellevue, WA, Sept. 4-6, 1996, pp. 168-183. AIAA paper 96-4001.Google Scholar
  28. R. I. Watkins and A. J. Morris, “Amulticriteria objective function optimization scheme for laminated composites for use in multilevel structural optimization schemes,” Computer Methods in Applied Mechanics and Engineering vol. 60, pp. 233-251, 1987.Google Scholar

Copyright information

© Kluwer Academic Publishers 2000

Authors and Affiliations

  • Wei Chen
    • 1
  • Wei Fu
    • 2
  • S.B. Biggers
    • 3
  • R.A. Latour
    • 4
  1. 1.Department of Mechanical EngineeringUniversity of Illinois at ChicagoChicago
  2. 2.Global Software DivisionMotorola Inc.USA
  3. 3.Department of Mechanical EngineeringClemson UniversityUSA
  4. 4.Department of BioengineeringClemson UniversityUSA

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