Article In: scopus
Optimization of metal–ceramic functionally graded plates using the simulated annealing algorithm
APPLIED SCIENCES-BASEL
2021 — MDPI
—Key information
Authors:
Published in
01/02/2021
Abstract
This work involves the design optimization of metal–ceramic through the thickness of functionally graded material (FGM) plates subjected to thermomechanical loadings. Constrained optimization was performed for minimum mass and minimum material cost of the FGM plates. The design process of FGM plate structures requires a good choice of metal and ceramic materials and the adequate definition of the components volume fractions through the thickness direction in order to accomplish a certain structural behavior, while optimizing the material costs and/or the plate mass. Here, the optimization problems are solved with the simulated annealing (SA) algorithm, not requiring the calculation of the derivatives of the objective or constraint functions. Constrained single objective optimization cases are studied, and validated with alternative solutions, considering the p-index and the FGM plate thickness as design variables. New optimization cases, involving additionally the metal and ceramic materials as design variables, are presented both for benchmark purposes and to demonstrate the suitability of the SA algorithm to solve those optimization problems.
Publication details
Authors in the community:
Cristovão Manuel Mota Soares
ist11927
Filipa Andreia De Matos Moleiro
ist146125
Publication version
VoR - Version of Record
Publisher
MDPI
Link to the publisher's version
https://www.mdpi.com/2076-3417/11/2/729
Title of the publication container
APPLIED SCIENCES-BASEL
First page or article number
729
Last page
13
Volume
11
Issue
2
ISSN
2076-3417
WoS (Web of Science)
Fields of Science and Technology (FOS)
mechanical-engineering - Mechanical engineering
Keywords
- material optimization
- functionally graded material
- FGM
- simulated annealing
Publication language (ISO code)
eng - English
Rights type:
Open access
Creative Commons license
CC-BY - CC-BY
Financing entity
Fundação para a Ciência e a Tecnologia
Identifier for the funding entity: UIDB/50022/2020