Forward thinking companies have embraced targeted, solution-focused “simulation apps” to gain measurable improvements in innovation, development time, and related product quality. Leveraging this approach has allowed companies to work with dispersed departments, suppliers, and partners, all while maintaining control and consistency, enforcing standards, and ensuring the validity of analysis results.
CAE experts at these companies are rapidly embedding their expertise in simulation apps and validating them. The results are easy-to-use, solution-focused apps, which allow junior engineers and others in product teams who are not experts in the underlying simulation tools to safely and robustly run sophisticated simulations.
While the experts continue to use and require powerful, general-purpose simulation tools, others in the organization are now able to leverage this expertise inside of simulation apps, which helps to address simulation bottlenecks during the design process.
The three main pillars that anchor all useful, usable and economically-feasible simulation apps are:
This is the first and most critical aspect of a simulation app, one that makes it safe and robust to use. Within each app, the simulation experts must rapidly and easily capture their expertise in the form of rules. Traditionally, these rules have been laboriously captured, in the form of scripts and software programs, making them expensive to create and often brittle. For a simulation app to not only be useful but also economically-feasible, it must be easy to create (in days, not months), robust across significant configuration and design changes, and work across an entire product family.
In this webinar, through a presentation by Bruce Jenkins of Ora Research, and two end-user case study presentations, we will explore this topic further by shedding light on practical examples of automation templates and simulation apps at work, as well as the ROI that the companies have experienced.
Welcome & Introduction
Knowledge Capture & Reuse at American-Axle & Manufacturing
Mr. Ravi Desai, American-Axle & Manufacturing
Integrated Structural-Thermal-Optical-Performance (STOP) Model Development of the High Spectral Resolution Lidar (HSRL) Michelson Interferometer
Mr. Tory Scola, NASA Langley