Contact stiffness estimation in ANSYS using simplified models and artificial neural networks
Gabriel Hattori, Alberto Luiz Serpa
ARTIGO
Inglês
Agradecimentos: The authors thank ThyssenKrupp Metalúrgica Campo Limpo Ltda (Campo Limpo – Sao Paulo - Brazil) for the financial support
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...
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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
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Contact stiffness estimation in ANSYS using simplified models and artificial neural networks
Gabriel Hattori, Alberto Luiz Serpa
Contact stiffness estimation in ANSYS using simplified models and artificial neural networks
Gabriel Hattori, Alberto Luiz Serpa
Fontes
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Finite elements in analysis and design Vol. 97 (May., 2015), p. 43-53 |