Spreadsheet Applications in Materials Science

  • A. A. Gorni

Abstract

Until about 20 years ago, computer applications in Materials Science were frequently discouraged by the high cost of computer processing and by the huge efforts necessary to develop and debug a program in the harsh mainframe environment. Only in very specific cases — crystallographic texture analysis, for example (Bunge 1982) — was the use of computers justified. However, it is interesting to note that a book on Materials Science edited more than twenty years ago (Guy 1976) already included some simple Fortran programs related to applications in this field.

References

  1. Adrian H (1992) Thermodynamic model for precipitation of carbonitrides in high strength low alloy steels containing up to three microalloying elements with or without additions of aluminium. Materials Science and Technology, (8):406–420CrossRefGoogle Scholar
  2. Anon (1994) Handbook of corrosion data. ASM International, Metals Park. 650 ppGoogle Scholar
  3. Arganbright W (1983) Scientific applications for spreadsheet programs. Byte Books, New York, 285 ppGoogle Scholar
  4. Billmeyer Jr FW (1971) Textbook of polymer science. John Wiley, New York, 598 ppGoogle Scholar
  5. Bunge HG (1982) Texture analysis in materials science — Mathematical methods. Butterworths, London, 1982. 593 ppGoogle Scholar
  6. Dobson WG, Wolff AK (1984) Engineering problem solving with spreadsheet programs. American Society for Metals, Metals Park.Google Scholar
  7. Dorn WS, McCracken DD (1972) Numerical methods with Fortran IV case studies. John Wiley, New York, 568 ppGoogle Scholar
  8. Guy AG (1976) Essentials of materials science. McGraw-Hill, New York, 435 ppGoogle Scholar
  9. Kaiser HJ et al. (1992) Beurteilung der Zähigkeit von Rohrstählen mit instrumentierten Kerbschlagbiegeversuchen und Battelleversuchen. Thyssen Technische Berichte 24:107–112Google Scholar
  10. Mayr M (1981) Bestimmung von Gitterparametern aus Röntgen-Pulverdiagrammen. Radex-Rundschau (4): 682–689Google Scholar
  11. McGee WW, Mattson G (1993) Using an electronic spreadsheet in the design of exercises for a polymer laboratory course. Journal of Chemical Education 70:756CrossRefGoogle Scholar
  12. Rodriguez F (1970) Principles of polymer science. McGraw-Hill, New York, 560 ppGoogle Scholar
  13. Skaar EC (1994) CAD/CAM Review: Solving problems with spreadsheets. Ceramic Industry 143:85–86Google Scholar
  14. Speer JG et al. (1987) Carbonitride precipitation in niobium-vanadium microalloyed steels. Metallurgical Transactions 18A:211–222CrossRefGoogle Scholar
  15. Subbarao EC et al. (1976) Experiments in materials science. McGraw-Hill, New York, 236 ppGoogle Scholar
  16. Underwood EE (1970) Quantitative stereology. Addison-Wesley, Reading, 273 ppGoogle Scholar
  17. Weiss RJ (1963) Solid state physics for metallurgists. Pergamon, Oxford, 410 ppGoogle Scholar
  18. Whipp R (1993) Spreadsheet applications for steelmakers. Iron and Steelmaker 20:35–37Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • A. A. Gorni

There are no affiliations available

Personalised recommendations