Application of Grey Relational Approach and Artificial Neural Network to Optimise Design Parameters of Bridge-Type Compliant Mechanism Flexure Hinge

The investigation proposed a hybrid Grey-artificial neural network to optimise the design parameters of a two degree of freedom (2-DOF) bridge-type compliant mechanism flexure hinge (BTCMFH). The design variables play a vital role in determining the deformation and stress of the mechanism. The inves...

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Veröffentlicht in:	International journal of automotive and mechanical engineering 2021-03, Vol.18 (1), p.8505
Hauptverfasser:	Thai, Huynh Ngoc, Manh, Nguyen Quoc
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Computer simulation Degrees of freedom Design optimization Design parameters Deviation Displacement Finite element method Flexing Neural networks
Online-Zugang:	Volltext
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