Identifying optimal conditions for magnesium based alloy design using the Mesh Adaptive Direct Search algorithm

被引：17
作者：
Gheribi, Aimen E. [1 ]
Le Digabel, Sebastien [2 ,3 ]
Audet, Charles [2 ,3 ]
Chartrand, Patrice [1 ]
机构：
[1] Ecole Polytech, CRCT, Dept Genie Chim, Montreal, PQ H3C 3A7, Canada
[2] Ecole Polytech, Gerad, Montreal, PQ H3C 3A7, Canada
[3] Ecole Polytech, Dept Math & Ind Engn, Montreal, PQ H3C 3A7, Canada
来源：
THERMOCHIMICA ACTA | 2013年 / 559卷
基金：
加拿大自然科学与工程研究理事会;
关键词：
Alloys design; Optimal composition; Magnesium superalloys; Thermodymamic properties; Corrosion properties and mechanical properties; OPTIMIZATION;
D O I：
10.1016/j.tca.2013.02.004
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
In alloy design, one seeks to identify compositions where certain functions have optimal values under various constraints. Such functions include liquidus temperature, amounts and compositions of phases (either as-cast or after annealing), densities, vapour pressures, and viscosities. We report here on the development of new tool to perform such calculations. The tool incorporates the MADS (Mesh Adaptive Direct Search) algorithm which is designed to solve nonsmooth optimization problems where the objectives and constraints are typically outputs of computer simulations. Numerical results for several examples will be presented. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码：107 / 110
页数：4
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