NAFEMS Americas and Digital Engineering (DE) teamed up (once again) to present CAASE, the (now Virtual) Conference on Advancing Analysis & Simulation in Engineering, on June 16-18, 2020!

CAASE20 brought together the leading visionaries, developers, and practitioners of CAE-related technologies in an open forum, unlike any other, to share experiences, discuss relevant trends, discover common themes, and explore future issues, including:
-What is the future for engineering analysis and simulation?
-Where will it lead us in the next decade?
-How can designers and engineers realize its full potential?
What are the business, technological, and human enablers that will take past successful developments to new levels in the next ten years?

Resource Abstract

In order to increase the value of simulation process and data management (SPDM) to users and realize the full potential of a SPDM system, it must be used effectively to democratize complex simulation processes and generate data trends for easier decision-making. Automation in templates to quickly generate searchable data and meaningful data trends is key to democratizing repetitive time-consuming processes and achieving buy-in from reluctant users. With expected fast turnaround times and rapid product design cycles, design optimization is typically run as a manual process on a selective basis without doing an organized study of important variables; however, developing user-friendly guided workflows incorporating automation for complex simulations greatly reduces setup and post-processing time, thereby allowing detailed studies to be run more frequently and effectively. Using this methodology, design optimization can be expanded to include more variables and parameters to quickly generate organized data for effective decision-making. In addition, product simulation processes can be utilized to evaluate material and manufacturing limits, thereby resulting in more robust product design. Since more variables and parameters can be included in optimization studies along with material and manufacturing limits, the benefits and trade-offs of design changes can be thoroughly studied by using tools such as Results Analytics to rank alternative design variations and show data trends to reach an optimized design before building physical prototypes. The current focus at Dana is to utilize SPDM capabilities to develop and deploy simple guided workflows that utilize automation to generate searchable data such that it can be quickly compiled to show data trends and aid in the decision-making process, thereby giving expected value to users while improving product design and evaluation. In this presentation, examples of democratizing simulation processes to generate meaningful data trends for decision-making are shown in the context of some of Dana’s key product lines.