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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 AbstractA plethora of factors like expanding product portfolio, complexity of the products, reduction in time to market lead to companies adopting simulation as a cornerstone of their product development process. As simulation and modelling capability matures the impact of simulation is felt across the product development lifecycle from component level detailed design to subsystem and system level design.
Adoption of simulation further leads to a more holistic design approach where product architects, system engineers, design engineers and simulation engineers are all involved in the decision-making process using simulation as a backbone.
This presents a challenge of enabling effective use of system simulation tools and analytical decision-making methods to various stakeholders in the product development cycle. In this presentation we explore the use of a web-based collaboration and simulation data management platform to democratize virtual product development workflows. Further we explore the ability of such a system to enable decision making by using mathematical optimization and analytical decision-making techniques. This also enables traceability and knowledge management of design decisions, supporting models and workflows in an intuitive web-based interface.
The process begins with creating an automated process of your simulation load cases using a graphical workflow. The workflow uses an intuitive approach to enable the automation depicting the process and data flow in graphical representation.
These workflows can then be published on a web based SPDM platform to enable versioning, data management and democratized execution. The execution enables users to run and compare various single runs, but also enables mathematical design exploration techniques like design of experiments and optimization to be applied.
These exploration techniques are augments with statistical data analytical methods. Such methods enable the user to apply objective decision-making techniques on generated data and also share the same with collaborators and decision makers.
The web-based platform enables democratization of complex simulation processes and the tenets of SPDM framework enable knowledge management over the lifecycle of the simulation and optimization.