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Leite, M., Silva, A., Henriques, E. & Madeira, J. (2015). Materials selection for a set of multiple parts considering manufacturing costs and weight reduction with structural isoperformance using direct multisearch optimization. Structural and Multidisciplinary Optimization. in press, 1-10

M. A. Leite et al.,  "Materials selection for a set of multiple parts considering manufacturing costs and weight reduction with structural isoperformance using direct multisearch optimization", in Structural and Multidisciplinary Optimization, vol. in press, pp. 1-10, 2015

@article{leite2015_1716238352081,
	author = "Leite, M. and Silva, A. and Henriques, E. and Madeira, J.",
	title = "Materials selection for a set of multiple parts considering manufacturing costs and weight reduction with structural isoperformance using direct multisearch optimization",
	journal = "Structural and Multidisciplinary Optimization",
	year = "2015",
	volume = "in press",
	number = "",
	doi = "10.1007/s00158-015-1247-7",
	pages = "1-10",
	url = "http://dx.doi.org/10.1007/s00158-015-1247-7"
}

TY  - JOUR
TI  - Materials selection for a set of multiple parts considering manufacturing costs and weight reduction with structural isoperformance using direct multisearch optimization
T2  - Structural and Multidisciplinary Optimization
VL  - in press
AU  - Leite, M.
AU  - Silva, A.
AU  - Henriques, E.
AU  - Madeira, J.
PY  - 2015
SP  - 1-10
SN  - 1615-147X
DO  - 10.1007/s00158-015-1247-7
UR  - http://dx.doi.org/10.1007/s00158-015-1247-7
AB  - Materials selection is a matter of great importance to engineering design and software tools are valuable to inform decisions in the early stages of product development. However, when a set of alternative materials is available for the different parts a product is made of, the question of what optimal material mix to choose for a group of parts is not trivial. The engineer/designer therefore goes about this in a part-by-part procedure. Optimizing each part per se can lead to a global sub-optimal solution from the product point of view. An optimization procedure to deal with products with multiple parts, each with discrete design variables, and able to determine the optimal solution assuming different objectives is therefore needed. To solve this multiobjective optimization problem, a new routine based on Direct MultiSearch (DMS) algorithm is created. Results from the Pareto front can help the designer to align his/hers materials selection for a complete set of materials with product attribute objectives, depending on the relative importance of each objective.
ER  -