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

Advancements in modeling & simulation have been accelerating over the past three decades and have largely focused on replicating real-world object behavior. With the integration of Industrial CT, modeling & simulation has adapted to incorporate actual object dimensionality and physics affecting a product’s quality and performance. New apparatuses are being integrated to provide real-time, dynamic CT scanning yielding behavioral geometries and deformations collected during the X-Ray process. In the past, static CT Scans have provided physical specimen validation and input for modeling & simulation. Dynamic scanning allows for expanded validation and input metrics across the modeling & simulation spectrum, with the addition of time based interpretation.



This presentation will focus on showing the continual development of modeling & simulation, and the integration of static CT and dynamic 4D CT scanning to validate complex product performance models. The presentation will include illustrative examples from several industries.



 

Topics will include:

1. Development of modeling & simulation validation using CT data

This will provide an overview of the previous improvements to modeling & simulation when CT data was introduced to help validate models that sought to replicate real world physics. The focus is on the efficient use of modeling & simulation to mitigate the need for large-sample physical testing. This will include a comparison of simulation results using different measurement modalities.



2. Introduction of CT scanning methodologies and their use cases

This section will focus on the current state-of-the-art fixtures used in conjunction with CT scanning to provide data validation across single dimensions. Dimensions to be reviewed include: fluids, thermal, linear, rotational, and vacuum/pressure. Examples will be provided to illustrate the incorporation of single variable scanning data into modeling & simulation data sets.



3. Development of fixtures for dynamic scanning to assess product behavior

To capture in-motion, real-time 4D scanning data, new dynamic fixturing was engineered and deployed. Results will be presented and analysis shared on the efficacy of the data validation models. Further, it will show comparatives to physical testing modalities and illustrate the benefits over strictly physical testing alone.



4. Opportunities for utilization of enriched data

This section offers opportunities to augment current physical testing and virtual model data sets with 4D data. This data acts as an extension of physical testing to increase the value of already existing data to produce a more enriched data lake to help drive predictive modeling efforts.



5. Limitations and opportunities of 4D dynamic behavioral modeling & simulation

This will discuss the near and long term development limitations of the technology, as well as cost implications for 4D validated models. Also reviewed will be the advanced tools and capabilities that are anticipated to intersect with this technology in the near-term.



6. Summary and questions

The speed of concept-to-market is rapidly increasing, with higher demands on faster and better product testing, inspection, and analysis. The presentation concludes that dynamic 4D behavioral scanning can not only significantly improve the validation of advanced simulation, it can also help drive better efficiency and accuracy in the production and evaluation process.