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A Framework for Multidisciplinary Optimization of a Balancing Mechanism for an Industrial Robot

Johan Persson, Xiaolong Feng, Daniel Wäppling, Johan Ölvander

发表年份
2015
引用次数
9
访问权限
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摘要

The paper presents a framework that can be used to design and optimize a balancing mechanism for an industrial robot. The framework has the capability to optimize three different concepts: a mechanical, a pneumatic, and a hydropneumatic. Several disciplines are included in the framework, such as dynamic and static analyses of the robot performance. Optimization is performed for each concept and the obtained optimal designs are all better than the reference design. This means that the framework can be used as a tool both to optimize the balancing mechanism and also to support concept selection.

关键词

Computer scienceMechanism (biology)RobotMultidisciplinary design optimizationSelection (genetic algorithm)Mechanism designMultidisciplinary approachArtificial intelligence

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