Shape optimization of an excavator boom by using genetic algorithm

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Date

2008

Author

Uzer, Cevdet Can

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This study concerns with the automated structural optimization of an excavator boom. The need for this work arises due to the fact that the preparation of the CAD model, performing finite element analysis and model data evaluation are time consuming processes and require experienced man power. The previously developed software OptiBOOM, which generates a CAD model using a finite set of parameters and then performs a finite element analysis by using a commercial program has been modified. The model parameter generation, model creation, analysis data collection and data evaluation phases are done by the Python and Delphi based computer codes. A global heuristic search strategy such as genetic algorithm is chosen to search different boom models and select an optimum.

Subject Keywords

Mechanical engineering.

URI

http://etd.lib.metu.edu.tr/upload/3/12609575/index.pdf
https://hdl.handle.net/11511/18262

Collections

Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

C. C. Uzer, “Shape optimization of an excavator boom by using genetic algorithm,” M.S. - Master of Science, Middle East Technical University, 2008.