Original title: Optimalizace tvaru strojních součástí s vlivem variabililty vstupních údajů
Translated title: Shape Optimization of the Machine Components due to Variability of Input Data
Authors: Sawadkosin, Paranee ; Jonák, Martin (referee) ; Novotný, Pavel (advisor)
Document type: Master’s theses
Year: 2019
Language: eng
Publisher: Vysoké učení technické v Brně. Fakulta strojního inženýrství
Abstract: The objective of this Master’s thesis is to find shape optimal design based on min- imizing friction force of thrust bearing by using genetic algorithm(GA) which is one of an optimization toolbox in Matlab. Reducing the friction force of thrust bearing is one way of making shaft to decreasing friction losses. With four parameters of thrust bearing geometry number of segments(m), angle of running surface(), segment inner radius(R0), and segment outer radius(R1) substitute in Reynolds’ equation. In order to know friction force, it is necessary to generate a connecting variable, oil film thickness(h0) from loading capacity(W ) and revolution per minute(rpm). Friction power loss, as well as weight func- tion conclude the final shape optimization of thrust bearing: m = 7, = 0.1, R0 = 15 mm, and R1 = 20 mm.
Keywords: friction force; friction power loss; genetic algorithm; Matlab; Reynolds equation; shape optimization; thrust bearing; weight function; friction force; friction power loss; genetic algorithm; Matlab; Reynolds equation; shape optimization; thrust bearing; weight function

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/175512

Permalink: http://www.nusl.cz/ntk/nusl-401572


The record appears in these collections:
Universities and colleges > Public universities > Brno University of Technology
Academic theses (ETDs) > Master’s theses
 Record created 2019-08-26, last modified 2022-09-04


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