Computer-Aided Design, Engineering, & Manufacturing Systems

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Likewise, diagnostics will provide pointers to subsystems that require technological advancement and redesign. However, there will be resistance to implementing new techniques on the manufacturing floor, for obvious reasons. Advancements of simple tools and interfaces that build on the more fundamental mathematics will be the keys to success. A third paramount avenue entails process control. Our unified approach, or its equivalent, provides significant insight into the underlying physics of the manufacturing processes.

Surface analysis represents the first step into understanding the mechanisms which result in faults during manufacturing. We then present a possible scenario in design using an industrial application. Here, we show that the analysis information from manufacturing can be integrated successfully into the design process. Furthermore, we demonstrate the power of our method in understanding new manufacturing processes. When faced with a new manufacturing process, communication between manufacturers and designers becomes crucial in identifying the existing and potential precision and accuracy problems.

The location and severity of the nonstationary change in the signal. No change is indicated in the coefficient vectors corresponding the eigenfunctions #4 and #5, as expected. Finally, the reconstruction of the profiles from different instances during monitoring are shown in Fig. 16. 16(a) corresponds to a profile from the second set of snapshots where a nonstationary change in the mean-square value occurs (m ϭ 21). Fig. 16(b) is a profile from the third set of snapshots where a nonstationary change in the mean value occurs (m ϭ 41).

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