Advertisement

Contribution to the Quantification of the Development Potential of High Temperature Alloys

  • Van Asbroeck
  • J. Nihoul
  • F. Casteels
  • J. Pelsmaekers

Abstract

Several investigators have suggested that knowledge and technological parameters grow in the form of S-shaped curves [DAUD774] [G0RD81]. This can be interpreted as follows:the development of the new technology gets under way as soon as a number of bottlenecks are removed. Due to learning effects, the quality initially grows exponentially up to an inflexion point from which a performance plateau is approached with a decreasing growth rate [WISS82].

Keywords

Completion Time Inflexion Point Austenitic Stainless Steel Knowledge Development High Temperature Alloy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. A.S.M., Metals handbook, Vol. 1, Metals park; Ohio; USA, 1961.Google Scholar
  2. R. CHADWICK, Copper 1: alloy to pure metal; Journal of the historical metallurgy society 19 (1) 8–11 (1985).Google Scholar
  3. B. DAUDE, Opportunité d’un projet R&D, Le Management, Mai (34–38) 1974.Google Scholar
  4. W.M. DOYLE, Aluminium 2: hiduminium and RR. alloy to 1950. Journal of the historical metallurgy society 19 (1) 44–47 (1985).Google Scholar
  5. T.J. GORDON and T.R. MUNSON, A proposed convention for measuring the state of the art of products or processes, Technological forecasting and social change 20 (1–26) 1981.Google Scholar
  6. J.J. HUET, Preparation and properties of oxide dispersionstrengthened ferritic alloys, the Monthly Journal for the powder metallurgy industry 40 (3) 1985.Google Scholar
  7. D.W. MARQUARDT, An algorithm for least-squares estimation of non-linear parameters, J. Soc. In dust. Appl. Math. II/2 431–41 (1963).CrossRefGoogle Scholar
  8. M.J.D. POWELL, A fast algorithm for non-lineary constrained optimization calculations, Dundee Conference on numerical analysis (1977).Google Scholar
  9. R. STONE, Sigmoids, B.I.A.S.7 (1) 59–119 (1980).Google Scholar
  10. N. VAN DE VOORDE, High temperature materials for energy technology, Symposium on high temperature materials for coal conversion and utilization, MOL, Belgium, 1983.Google Scholar
  11. J.G. WISSEMA, Trends in technology forecasting, R&D management 12 (1)27–36 (1982).CrossRefGoogle Scholar

Copyright information

© ECSC, EEC, EAEC, Brussels and Luxembourg 1987

Authors and Affiliations

  • Van Asbroeck
    • 1
  • J. Nihoul
    • 1
  • F. Casteels
    • 1
  • J. Pelsmaekers
    • 1
  1. 1.C.E.N./S.C.K.MolBelgium

Personalised recommendations