Product Evaluation for Performance and the Effects of Variation |  |
Chapter Summary| Product evaluation should be focused on comparison with the engineering requirements and also on the evolution of the function of the product.Products should be refined to the degree that their performance can be represented as numerical values in order to be compared with the engineering requirements.P-diagrams are useful for identifying and representing the input signals, control parameters, noises, and output response.Physical and analytical models allow for comparison with the engineering requirements. Concern must be shown for both the accuracy and the variation of the model.Parameters are stochastic, not deterministic. They are subject to three types of noises: the effects of aging, of environment change, and of manufacturing variation.Robust design takes noise into account during the determination of the parameters that represent the product. Robust design implies minimizing the variation of the critical parameters.Tolerance stacking can be evaluated both by the additive method and by statistical means.Both analytical and experiment methods exist for finding the most robust design. |
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2003 McGraw-Hill Higher Education