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Adopting robust design principles is a proven methodology for increasing design reliability. General Motors Powertrain (GMPT) has incorporated robust design principles into their Signal Delivery Subsystem (SDSS) development process by moving traditional prototype manufacturing and test functions from hardware to software. This virtual manufacturing technique, where subsystems are built and tested using simulation software, increases the number of possible prototype iterations while simultaneously decreasing the time required to gather statistically meaningful test results. This paper describes how virtual manufacturing was developed using distributed computing.

Active Hall Effect Sensors are used in numerous automotive applications where direction, position, and speed sensing capabilities are required. The primary usage of these devices is in the areas of engine and transmission controls as well as ABS speed monitoring systems. To reliably employ these sensors in such applications requires a thorough understanding of the device electronics and how this component interprets the magnetic fields produced by a ferromagnetic target. The traditional methods involving the construction and test of prototype sensors and targets have been costly, time consuming, and rarely resulted in a robust design. To resolve this problem General Motors Powertrain and Ansoft Corporation have jointly developed the capability to accurately model active Hall Effect Sensors.