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Statistical Modelling in Materials Research

Published online by Cambridge University Press:  01 January 1992

G. Pouskouleli,
A. Ahmad,
T.A. Wheat,
S. Varma and
S.E. Prasad
G. Pouskouleli
Affiliation:
Mineral Science Laboratories, CANMET, Dept Energy, Mines & Resources, Ottawa, ON
A. Ahmad
Affiliation:
Mineral Science Laboratories, CANMET, Dept Energy, Mines & Resources, Ottawa, ON
T.A. Wheat
Affiliation:
Mineral Science Laboratories, CANMET, Dept Energy, Mines & Resources, Ottawa, ON
S. Varma
Affiliation:
Sensor Technology Ltd., 20 Stewart Road, Collingwood, ON, Canada
S.E. Prasad
Affiliation:
Sensor Technology Ltd., 20 Stewart Road, Collingwood, ON, Canada
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Abstract

The role of statistical modelling in materials research is examined. It is shown that considerable benefits can be derived by following an appropriate full factorial design, in which a number of factors (process parameters) are varied simultaneously while the responses (materials properties) are monitored. It is also shown that by using a fractional factorial matrix, essentially the same conclusions can be drawn with a significantly smaller number of experimental trials. Examples drawn from recent materials research on glasses and ceramics are presented to demonstrate the effectiveness of this approach.

Information

Type
Research Article
Information
MRS Online Proceedings Library (OPL) , Volume 291: Symposium O – Materials Theory and Modeling , 1992, 273
Copyright
Copyright © Materials Research Society 1993

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References

REFERENCES

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