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National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Lubricant gap shape optimization of the hydrodynamic thrust bearing using artificial neural networks
 Kukla, Lukáš ; Coufal, Tomáš (referee) ; Jonák, Martin (advisor)
The thesis deals with the description of the main parts of the turbocharger and explains the concept of optimization. Furthermore, the work deals with the description of the flow of real fluids and lubrication of the hydrodynamic bearing. The work deals with the creation of a computational model, metamodel and subsequent search for a global extreme. In particular, the neural network metamodel technique is used in metamodel formation.
Detailed record
Lubricant gap shape optimization of the hydrodynamic thrust bearing using artificial neural networks
 Kukla, Lukáš ; Coufal, Tomáš (referee) ; Jonák, Martin (advisor)
The thesis deals with the description of the main parts of the turbocharger and explains the concept of optimization. Furthermore, the work deals with the description of the flow of real fluids and lubrication of the hydrodynamic bearing. The work deals with the creation of a computational model, metamodel and subsequent search for a global extreme. In particular, the neural network metamodel technique is used in metamodel formation.
Detailed record

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