Very good description of the process Jon. You mentioned iterating through the modeling process and tests once a candidate motor is selected. I would suspect the requirements for prototyping could be reduced but not completely eliminated. And good model based testing would go a long way toward making sure the prototypes were very close to a final design and implementation.
I am curious as to how the models might be updated with feedback based on prototype testing. Validation of the model inputs based on testing the prototype might be useful as well as testing failure modes.
One thing we strive for in testing is to characterize the failure modes and try to insure the system degrades gracefully under loads. Catastrophic and unexpected failures are to be avoided at least in early testing but it is useful to know just how the system can fail.
I usually learn a lot about a system when I have to examine in detail any unexpected failures. Frequently this is related to an assumption on my part that was incorrect and inadequately tested before hand. Does this happen in the models before prototyping?
How do you characterize model fidelity with respect to the real world? It seems a great deal of experience is required to model complex systems with a high degree of accuracy.
The company says it anticipates high-definition video for home security and other uses will be the next mature technology integrated into the IoT domain, hence the introduction of its MatrixCam devkit.
Siemens and Georgia Institute of Technology are partnering to address limitations in the current additive manufacturing design-to-production chain in an applied research project as part of the federally backed America Makes program.
Most of the new 3D printers and 3D printing technologies in this crop are breaking some boundaries, whether it's build volume-per-dollar ratios, multimaterials printing techniques, or new materials types.
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