TY - JOUR
T1 - Optimization of composition and processing parameters for alloy development
T2 - A statistical model-based approach
AU - Golodnikov, Alexandr
AU - Uryasev, Stan
AU - Zrazhevsky, Grigoriy
AU - Macheret, Yevgeny
AU - Trindade, A. Alexandre
PY - 2007
Y1 - 2007
N2 - We describe the second step in a two-step approach for the development of new and improved alloys. The first step, proposed by Golodnikov et al [3], entails using experimental data to statistically model tensile yield strength and the 20th percentile of the impact toughness, as a function of alloy composition and processing variables. We demonstrate how the models can be used in the second step to search for combinations of the variables in small neighborhoods of the data space, that result in alloys having optimal levels of the properties modeled. The optimization is performed via the efficient frontier methodology. Such an approach, based on validated statistical models, can lead to a substantial reduction in the experimental effort and cost associated with alloy development. The procedure can also be used at various stages of the experimental program, to indicate what changes should be made in the composition and processing variables in order to shift the alloy development process toward the efficient frontier. Data from these more refined experiments can then be used to adjust the model and improve the second step, in an iterative search for superior alloys.
AB - We describe the second step in a two-step approach for the development of new and improved alloys. The first step, proposed by Golodnikov et al [3], entails using experimental data to statistically model tensile yield strength and the 20th percentile of the impact toughness, as a function of alloy composition and processing variables. We demonstrate how the models can be used in the second step to search for combinations of the variables in small neighborhoods of the data space, that result in alloys having optimal levels of the properties modeled. The optimization is performed via the efficient frontier methodology. Such an approach, based on validated statistical models, can lead to a substantial reduction in the experimental effort and cost associated with alloy development. The procedure can also be used at various stages of the experimental program, to indicate what changes should be made in the composition and processing variables in order to shift the alloy development process toward the efficient frontier. Data from these more refined experiments can then be used to adjust the model and improve the second step, in an iterative search for superior alloys.
KW - Charpy V-Notch
KW - Efficient frontier
KW - Materials science
KW - Regression model
KW - Steel fabrication
UR - http://www.scopus.com/inward/record.url?scp=57249088671&partnerID=8YFLogxK
U2 - 10.3934/jimo.2007.3.489
DO - 10.3934/jimo.2007.3.489
M3 - Article
AN - SCOPUS:57249088671
VL - 3
SP - 489
EP - 501
JO - Journal of Industrial and Management Optimization
JF - Journal of Industrial and Management Optimization
SN - 1547-5816
IS - 3
ER -