Entropy Measures in Engineering Design

  • Ronald S. LaFleur


The development of a design science requires that progress made through research and technology be accountable. The difficulty in measuring progress lies in the different points of view of researchers, teachers, managers, and practitioners. This is compounded by design issues such as specification fuzziness, individual/team decision making, multifunctional design, and concurrency in the product development. A common, universal measure is needed. A commonality between problems is that mass, energy, and information are stored and transferred in the product or technical system. The entropy function has the power to integrate the mass, energy, and information measures of multifunctional problems into one measure. This provides a way to measure, in an unbiased way, the efficacy of design solutions, design methods, technical systems, and the advancement of design science.


Single Measure Entropy Production Technical System Engineering Method Entropy Function 
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  1. Bejan, A. (1982). Entropy Generation through Heat and Fluid Flow. New York: Wiley..Google Scholar
  2. Callen, H. B. (1985). Thermodynamics and an Introduction to Thermostatistics. New York: Wiley.MATHGoogle Scholar
  3. de Groot, S. R., and Mazur, P. (1984). Non-Equilibrium Thermodynamics. New York: Dover.Google Scholar
  4. Gibbs, J. W. (republished 1961 ). The Scientific Papers of J. Willard Gibbs, Ph.D., LL.D., Volume I, New York: Dover.Google Scholar
  5. Haase, R. (1969). Thermodynamics of Irreversible Processes. Addison Wesley.Google Scholar
  6. LaFleur, R. S. (1989). A hierarchy for organizing multivariable design and analysis problems. Proceedings of the Annual ASEE Meeting of the St. Lawrence Section, Session 14A3, Engineering Education Methods, pp. 1–10.Google Scholar
  7. LaFleur, R. S. (1990a). Lecture Notes of Advanced Thermodynamics. Clarkson University.Google Scholar
  8. LaFleur, R. S. (1990b). The role of evolution in design. ASEE DEED Bulletin, 14(3), Spring 1990.Google Scholar
  9. LaFleur, R. S. (1991). Evolutionary design theory using dynamic variation and thermodynamic selection. Research in Engineering Design, 3, 39–55.CrossRefGoogle Scholar
  10. LaFleur, R. S. (1992). Principle engineering design questions. Research in Engineering Design, 4, 89–100.CrossRefGoogle Scholar
  11. Raisbeck, G. (1963). Information Theory, Cambridge, MA: MIT Press.Google Scholar
  12. Shannon, C. E., and Weaver, W. (1949). A Mathematical Theory of Communication, Urbana, IL: University of Illinois Press.Google Scholar

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© Springer Science+Business Media New York 1996

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  • Ronald S. LaFleur

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