Contact stiffness estimation in ANSYS using simplified models and artificial neural networks

Hattori, G.; Serpa, A.L.

doi:10.1016/j.finel.2015.01.003

Contact stiffness estimation in ANSYS using simplified models and artificial neural networks

Hattori, G.; Serpa, A.L.

Authors

G. Hattori

A.L. Serpa

Abstract

The elastic contact problem, as implemented in some commercial software such as ANSYS, depends on the user choice of some parameters such as normal contact stiffness, penetration limit and contact algorithms. This work investigates the artificial neural networks (ANN) potential to predict the value of some parameters, avoiding the trial-and-error procedure to determine these values. Contact problems based on simple problems are used to train the neural network, so it can predict the normal contact stiffness for more complex problems. Some contact examples are evaluated, including the small end connecting rod contact problem, of great importance in automobile industry.

Citation

Hattori, G., & Serpa, A. (2015). Contact stiffness estimation in ANSYS using simplified models and artificial neural networks. Finite Elements in Analysis and Design, 97, 43-53. https://doi.org/10.1016/j.finel.2015.01.003

Journal Article Type	Article
Acceptance Date	Jan 9, 2015
Publication Date	May 1, 2015
Deposit Date	Apr 13, 2015
Publicly Available Date	Jan 15, 2016
Journal	Finite Elements in Analysis and Design
Print ISSN	0168-874X
Publisher	Elsevier
Peer Reviewed	Peer Reviewed
Volume	97
Pages	43-53
DOI	https://doi.org/10.1016/j.finel.2015.01.003
Keywords	Contact problem, Contact stiffness, Finite element, Neural network, ANSYS, Connecting rod.

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Publisher Licence URL
http://creativecommons.org/licenses/by-nc-nd/4.0/

Copyright Statement
© 2015 This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/