Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/29675
Título: Phase shift-digital speckle pattern interferometry and optimization for bones displacements prediction
Palavras-chave: Particle-swarm optimization
Bone sample
Displacement measurements
Digital speckle pattern interferometry
Finite element analysis
Otimização de enxame de particulas
Amostra óssea
Medições de deslocamento
Interferometria padrão digital speckle
Análise de elementos finitos
Data do documento: 2017
Editor: Universidade Federal de Lavras
Citação: GONZÁLES-PEÑA, R. J. et al. Phase shift-digital speckle pattern interferometry and optimization for bones displacements prediction. Theoretical and Applied Engineering, Lavras, v. 1, n. 1, p. 31-37, 2017.
Resumo: The use of phase shift-digital speckle pattern interferometry (DSPI) together with an optimization method for displacement prediction of a bone sample was evaluated. The proposed method is based on Particle-swarm Optimization (PSO) algorithm which used analytical data to obtain the bone Young’s modulus for Finite Element Analysis (FEA) simulations in order to compare with experimental displacements results from DSPI. A bone sample was used in the experiments for generating the displacements by using DSPI, PSO algorithm identified the optimized Young’s modulus and FEA was used to simulate displacements from the bone geometry model. Results presented good agreement between FEA and DSPI data showing error around 3%. This can be considered a potentiality of DSPI supported by optimization method and FEA for displacement prediction in bone samples.
URI: http://www.taaeufla.deg.ufla.br/index.php/TAAE/issue/view/1/Mechanical%20Engineering
http://repositorio.ufla.br/jspui/handle/1/29675
Aparece nas coleções:DEG - Artigos publicados em periódicos

Arquivos associados a este item:
Não existem arquivos associados a este item.


Os itens no repositório estão protegidos por copyright, com todos os direitos reservados, salvo quando é indicado o contrário.