Computational Methods to Predict and Avoid Design Failure
Abstract
Component selection can be a difficult task for designers, and the components they choose can have a large impact on the robustness of the design. Using previous methods to predict and identify potential failure modes, known as the function-failure design method (FFDM), the impact on failure of selecting a particular component over another can be explored based on failure results from previous design endeavors using the same component. This assists designers in selecting the component that is best suited for the application. Since the predicted distribution of failure modes changes depending on the selected component, failure reduction is possible through component selection. Through this method of component selection, risk can be decreases and potential failures can be eliminated. Experiments based on undergraduate student competition design projects are presented to illustrate this method's ability to predict failure modes. Initial results indicate that the predictions are accurate and meaningful to designers. The experiment also serves as initial validation previous work in the area of failure prediction.
Recommended Citation
B. A. Mitchell et al., "Computational Methods to Predict and Avoid Design Failure," Proceedings of the ASME 2005 International Mechanical Engineering Congress and Exposition (2005, Orlando, FL), American Society of Mechanical Engineers (ASME), Nov 2005.
Meeting Name
ASME 2005 International Mechanical Engineering Congress and Exposition (2005: Nov. 5-11, Orlando, FL)
Department(s)
Mechanical and Aerospace Engineering
Keywords and Phrases
Design Testing; Failure Prediction; Function-Failure Design Method
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2005 American Society of Mechanical Engineers (ASME), All rights reserved.
Publication Date
11 Nov 2005
