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Permanent link (DOI): https://doi.org/10.7939/R3JK8Q

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Enhanced Design Process with CAD/CAE Integration and Smart Knowledge Capturing Method Open Access

Descriptions

Other title
Subject/Keyword
Knowledge capturing method
CAD/CAE integration
Design process
Parametric design
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Gujarathi, Ganesh
Supervisor and department
Dr. Yongsheng Ma ( Mechanical Engineering)
Examining committee member and department
Dr. XiaoDong Wang (Mechanical Engineering)
Dr. Japan Trivedi (Civil and Environmental Engineering)
Dr. Amit Kumar (Mechanical Engineering)
Department
Department of Mechanical Engineering
Specialization

Date accepted
2011-01-27T16:31:02Z
Graduation date
2011-06
Degree
Master of Science
Degree level
Master's
Abstract
Generally, a design process involves multiple modeling and analysis interaction iterations accommodating changes and verifications. It is convenient to develop generative programs to automate some tedious and repetitive processes in order to minimize cycle times and the engineer’s routine efforts associated with various design stages. The proposed process model incorporates embedded engineering knowledge and generative Computer Aided Design (CAD) and Computer Aided Engineering (CAE) analysis for partial automation of product development. For improved efficiency and ease of operation, the process used a CAD/CAE integration approach with smart program development mechanism for automated modeling and analysis. A CAD/CAE integration method using a Common Data Model (CDM) containing all the required parametric information for both CAD modelling and CAE analysis is implemented. The CDM is used as a parametric data model repository and the supply source of input for those associative entities of CAD and CAE models and thus maintaining the associative dependencies among them. The pro-recorded journal file from the modeling and analysis software tool are used for rapid and easy program development of generative CAD and CAE.
Language
English
DOI
doi:10.7939/R3JK8Q
Rights
License granted by Ganesh Gujarathi (gujarath@ualberta.ca) on 2011-01-26T22:57:15Z (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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