Statistical Modelling in Materials Research
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ABSTRACTThe 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.
1978 ◽
Vol 22
(1)
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pp. 599-599
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2020 ◽
Vol 79
(Suppl 1)
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pp. 1277.3-1278
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2020 ◽
Vol 142
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pp. 212-218
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