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Permanent link (DOI): https://doi.org/10.7939/R3JG8P

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Feature based conceptual design modeling and optimization of variational mechanisms Open Access

Descriptions

Other title
Subject/Keyword
features
Application Programming Interface
artificial neural networks
CAD
dimensional synthesis
hydraulic excavator
optimization
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Wubneh, Abiy
Supervisor and department
Ma, Yongsheng (Mechanical Engineering)
Examining committee member and department
Faulkner, Gary (Mechanical Engineering)
Lu, Ming (Civil & Environmental Engineering)
Ru,Chongqing (Mechanical Engineering)
Department
Department of Mechanical Engineering
Specialization

Date accepted
2011-01-31T21:14:47Z
Graduation date
2011-06
Degree
Master of Science
Degree level
Master's
Abstract
This research investigates and proposes methods to be used for the automation of the conceptual design phases of variational mechanisms. It employs the concept of feature-based modeling approaches. A method is proposed for integrating the dimensional synthesis, mechanical design and CAD generation phases with minimal designer intervention. Extended feature definitions are used in this research to create a smooth data transfer platform between different engineering tools and applications. This paper also introduces another method by which a set of dimensional data collected from a family of existing products is used to predict possible solutions for a new design. This method, based on artificial neural networks for training and solution generation, is used with optimization algorithms for the dimensional synthesis of mechanisms. An excavator arm mechanism is used as a case study to demonstrate these methods. The design of this mechanism is carried out based on its digging mode configurations.
Language
English
DOI
doi:10.7939/R3JG8P
Rights
License granted by Abiy Wubneh (wubneh@ualberta.ca) on 2011-01-31T18:13:32Z (GMT): Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of the above terms. The author reserves all other publication and other rights in association with the copyright in the thesis, and except as herein provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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