Machine Dynamics Modeling by a Bond Graph Approach for Condition Monitoring
AuthorOvy, Enaiyat Ghani
Committee MemberWong, Ron Chik-Kwong
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AbstractThe bond graph method is a graphical approach, particularly advantageous for system modeling that involves multiple domains. This thesis is concerned with developing models for industrial machinery such as a reciprocating compressor, a ball bearing and a wind turbine using the bond graph technique. At first, a reciprocating compressor model is developed through bond graph method based on the principle of planar motion of rigid bodies with body fixed reference frames attached. Next, a ball bearing model is represented by bond graph method with same principle. Finally, a wind turbine model is developed. All these models show certain exclusive features and capabilities, for example, reciprocating compressor model are able to examine joint forces, ball bearing model can simulate responses for all contact points among rolling elements simultaneously, and wind turbine model provides distinct aspect of investigating integral and differential causality highlighting constraint forces. Models are validated quantitatively by analyzing response with SOLIDWORKS model as well as preceding literature. Application of the models to condition monitoring are shown by creating crack in compressor joint, dent in bearing part and backlash between gear teeth of wind turbine. At the end, models are extended to multi-physics systems to illustrate flexibility of bond graph modeling method.
CitationOvy, E. G. (2017). Machine Dynamics Modeling by a Bond Graph Approach for Condition Monitoring (Unpublished master's thesis). University of Calgary, Calgary, AB. doi:10.11575/PRISM/26804
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