Developing an automated design modification system for aluminum disk wheels AbstractThis paper presents an automated design modification system that integrates engineering analysis results and common redesign strategies of engineers with a fuzzy logic algorithm in order to provide effective strategies to reduce the failure probability. The probability model is described first followed by providing engineers' common strategies for redesigning the wheels. Sensitivities of the strategies with respect to the probability of fatigue failures have been calculated to evaluate these strategies. A set of fuzzy rules on how to reduce the failure probability using these strategies is established, and an automated design modification system is constructed. Finally this system is validated using 3 real wheel design examples. Using this system, designers' previous experience can be properly preserved and shared with all designers.
Developing an automated design modification system for aluminum disk wheels AbstractThis paper presents an automated design modification system that integrates engineering analysis results and common redesign strategies of engineers with a fuzzy logic algorithm in order to provide effective strategies to reduce the failure probability. The probability model is described first followed by providing engineers' common strategies for redesigning the wheels. Sensitivities of the strategies with respect to the probability of fatigue failures have been calculated to evaluate these strategies. A set of fuzzy rules on how to reduce the failure probability using these strategies is established, and an automated design modification system is constructed. Finally this system is validated using 3 real wheel design examples. Using this system, designers' previous experience can be properly preserved and shared with all designers.
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