Compared with parameter uncertainty, model form uncertainty is difficult and expensive to alleviate due to limited design information at the early product development stage, but it may have significant impacts on performances of complex products. In this article, an optimal configuration of performance models based on graph grammars is presented to seek a solution for simultaneously resolving model form and parameter uncertainties at the product conceptual design stage. First, a hybrid performance component database is built using object-oriented modeling method taking account of the model evolution history; second, a function structure model is taken as the reference template to dynamically generate system models driven by graph grammars rules derived from product configuration and layout design and matching of component interface parameters with flows in the function structure model; third, a meta-model-based method is adopted to transform the performance component graph into mathematical models includi...
['Yuliang Li', 'Wei Zhao']
Automatic product conceptual optimization based on object-oriented performance components and graph grammars