IGA-Based User Evaluation Driven Optimization Design of Forklift Styling

Chun Fu Lu; Yu Li; Xiao Jian Liu; Hai Hua Ren

doi:10.4028/www.scientific.net/AMM.160.287

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 160IGA-Based User Evaluation Driven Optimization...

IGA-Based User Evaluation Driven Optimization Design of Forklift Styling

Abstract:

Considering the requirements for efficiency and precision in the forklift styling, the authors developed the forklift optimizing system for its styling based on the interactive genetic algorithms (IGA). The system includes parameter optimization, color optimization and part combination three modules. The parameter optimization module can find the user defined parameters of the forklift 3D models and generate new models. Color optimization module can group the model surfaces and render the groups with different color. New color plans are generated through random changing of the colors in each group. The parts combination module divides forklift into several parts and build lib for each part. The module can pick parts from the lib and assemble them into a whole forklift and demonstrate them. The thesis developed a protosystem on the Solidworks platform with VBA programming tools. Interactive genetic algorithms are applied to realize the three module’s function.

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Periodical:

Applied Mechanics and Materials (Volume 160)

Pages:

287-291

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.160.287

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Online since:

March 2012

Authors:

Chun Fu Lu, Yu Li, Xiao Jian Liu, Hai Hua Ren

Keywords:

Computer-Aided Industrial Design, Forklift, Interactive Genetic Algorithms, Optimization

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