As design cycles tighten and engineered systems become more complex, companies are challenged to get the most out of their simulation capabilities. Predictive analytics can provide a powerful and viable solution to extract information from the simulation data and develop predictive models. Predictive models enable the performance of advanced analytics including Uncertainty Quantification (UQ), design space exploration, trade studies, and predictive maintenance. Armed with this predictive analytics toolset, companies can significantly reduce product development, warranty, and sustainment costs and improve product reliability and durability.
This webinar will show how SmartUQ’s predictive analytics and UQ software can enhance design exploration activities and product development in MSC Adams. Using an Adams automotive suspension system simulation, this webinar will demonstrate SmartUQ’s analytics workflow and built-in integration tools for MSC Adams.