Statistical data modelling techniques are used to predict and optimise the tensile properties of a 2-stage closed-die Waspaloy forging using real industrial data. This data includes chemical composition, inner and outer region billet grain size, ’ solvus temperature, furnace set temperature and preform and final form furnace durations. These parameters are used to model the behaviour of the ultimate tensile strength (UTS), yield strength (YS), elongation (E) and the reduction of area (R of A), at 8 varied locations in the forging via linear and non-linear regression. This has been done to determine the sensitivity of variations in process route and alloy chemistry, in order to optimise tensile properties. (AU) © 2010 by The Materials, Metals, & Materials Society. All rights reserved.
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