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

First, this presentation presents an overview of manufacturing, more specifically smart manufacturing, and explains the transformation processes of information and material in a manufacturing system from the viewpoints of both product lifecycle and enterprise system. It discusses the common physics phenomena and performance parameters that designers are interested in a manufacturing process. Then, a generic definition of manufacturing simulation is presented. The manufacturing simulation can be divided into two categories. The first category is manufacturing system simulation that aims to analyze the systematic performance of a manufacturing system that is a material flow system which usually consists of several manufacturing processes. The second category is manufacturing process simulation that is to analyze an individual manufacturing process which consists of one or more physics phenomena of the material transformation. After a brief introduction of manufacturing system simulation, the paper focuses on the requirements and challenges of manufacturing process simulation and smart manufacturing. In order to make a manufacturing system intelligent, the manufacturing system simulation and manufacturing process simulation have to be merged to provide a decentralized decision-making modeling to realize the agile production response to achieve the best overall performance of the manufacturing system. It is one of hot frontiers of manufacturing simulation, which is the core and essential work of smart manufacturing engineering in order to take full advantages of industry 4.0 revolution. The presentation further discusses the challenges of manufacturing process simulation such as the raw material property input data, process uncertainty and multiscale modeling. To address these challenges three additional hot frontiers of manufacturing simulation are introduced: Multiscale Modeling for ICME – Integrated Computational Material Engineering, Uncertainty Quantification for “the last mile” improvement of manufacturing process simulation and Digital Twin for product real time whole life monitoring and control from its birth (manufacturing process) to its decommissioning and recycling. In addition, this paper discusses the effective and efficient strategy for a CAE practitioner to set-up the “right scale” of modeling to do a productive manufacturing simulation.