Abstract
This paper presents a genetic algorithm-based approach for automatic functional design of mechanical systems. The proposed method automatically finds a set of optimal or near-optimal design solutions with respect to desired functional requirements stored in a pre-built device database. Although, typically, the design solution space of a given mechanical system is very large, the proposed strategy can generate high-quality design solutions in a timely manner. The method considers life cycle cost (LCC) factors as one of the design optimization criteria, since LCC factors have an important impact on product competency in the current market. Fuzzy logic is used to transform linguistic design requirements into numerical values. A case study is presented to illustrate the operation of the genetic algorithm-based functional design method and the efficiency of the method for optimizing the final design.
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