Computer-Aided Robust Design (CARD) is a DFSS process with SSPI in-house software tool in which parameter design and tolerance design are conducted on a simulation mathematical model instead of physical hardware. In CARD, robustness is the capability of a certain model to perform consistently in the presence of noise. CARD is directly linked to Axiomatic Design & Probabilistic Design Technologies . Transfer functions are derived from computer experimentation. This allows us do either of : Transfer Function Meta Modeling Robustness Assessment: to assess the functional requirements in a design matrix in the presence of noise factors.
Optimization: To find the nominal settings or tolerance settings such that the functional requirements in a design matrix have minimum variability in the presence of noise.
CARD is used extensively in automotive, medical devices, manufacturing and industrial applications. CARD is enabled by simulation and modeling. When a CAE (Computer-Aided Engineering) model is computationally expensive to run or multi response need to be considered (e.g. 2x2 or higher order design matrices), a surrogate model in place of the original CAE will be derived to reduce the number of CAE runs. In CARD, analysis is conducted using a fast-to-compute surrogate model. As a check, the final result of CARD will be confirmed using the original CAE.
CARD helps avoid over/under design by:
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