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Compiler). The gray areas in Figure 5 symbolize hereby the potential of a design process by design compilation that the three sets of possible, meaningful and optimal product representations can be generated by the design compiler. This opens up the perspective for full know-how reuse in the conceptual design phase of complex engineering products by automatic model generation instead of tedious manual construction of the various design models. The benefit of automatic model generation, analysis and update comes of course at a certain price.
The word states is used here for all static aspects of the design concept, while the word transitions is used for all changes the design concept undergoes from the idea to the final product. The main result of modeling consists therefore in the establishment of an adequate design representation. , to name a few) is shown in Figure 1. The activity of design includes the creation of the enumerated physical models from some abstract mental model the designer has in mind. The goal of this modeling activity is to create a description precise enough to both represent, simulate, analyze and evaluate the behavior of the future product to be, as well as to represent the properties of the future product to be not only for the purpose of designing, but also to produce the intended product including total product life-cycle considerations with manufacturing, use, recycling and so on.
6 Table of Experiments For each target on the part and on the flange, a mathematical model has to be identified. In order to minimize the number of numerical trials, the simplest model has been chosen: linear relations without interaction. ) So the linear model is presented below. Y = a0 + a1 D0 + a2 RD1 + · · · + a5 T3 , (1) Numerical Optimization of an Industrial Multi-Steps Stamping Process 51 Table 8. Design of experiments L16 of Taguchi. where Y is the value of the geometrical parameters calculated.