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The document provides a basic introduction to Product Data Management (PDM) and Configuration Management (CM) for people working in the Engineering Analysis arena. It describes how the integration of all these areas could bring business benefits. Configuration management is the process for establishing and maintaining the consistency of a product’s physical and functional attributes with its design and operational information throughout its life, using disciplined change management. PDM systems are software applications that embody many CM concepts to enable users to manage product information and its configuration. Many companies are gaining benefits from implementing PDM systems to support...more
Is Multiphysics the key to bringing everything together? 11-minute read David Quinn - September 30th 2021 Gernot Boiger is a professor of Modeling Multiphysics Applications and head of Multiphysics Modeling and Imaging at Zurich University of Applied Sciences -ZHAW. He teaches and develops Multiphysics simulations for applied R&D and leads a team of around 20 researchers. He's also European vice president of the International Society of Multiphysics. We discussed his upcoming keynote at the NAFEMS World Congress 2021 . Gernot gave us an insight into his work and the role that he sees Multiphysics playing in the evolution of engineering simulation. You can also watch the chat on the NAFEMS...more
NAFEMS Americas hosted its biennial regional conference, formerly known as CAASE, on June 21-23, 2022, face-to-face, at the Indiana Convention Center in Indianapolis, Indiana! The NAFEMS Americas Regional Conference 2022 (NRC22 Americas) brought together the leading visionaries, developers, and practitioners of CAE-related technologies in an open forum, unlike any other, sharing experiences, discussing relevant trends, discovering common themes, and exploring 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,...more
Robust AI in the Wild Dragos D. Margineantu, Ph.D. (Boeing) Abstract: The ultimate goal of research in artificial intelligence is to provide the tools, techniques and methods for building usable systems that make decisions or assist in making complex decisions, that model and “understand” the world, gather relevant knowledge, and act responsibly. In many cases, the practical tasks that are addressed require decisions and actions associated with high risks and low density data, and a certain assurance or robustness is required from the system that employs AI components. Central questions to AI systems research include: What are the principles that we learned from designing and developing...more
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...more
Simulation is changing how we design and bring products to market, creating competitive advantages for companies that take advantage of these advances. We’ll talk about what happened in 2022 and what we can expect for 2023 — and ask essential questions to help you navigate these changes. Monica Schnitger - President and Principal Analyst, Schnitger Corporation...more
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...more
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...more
This presentation was made at the NAFEMS Americas CAASE19 Virtual Conference. Abstract Mars2020, NASA’s next Mars Rover inherited a majority of Mars Science Laboratory (MSL)’s Flight hardware and software. It also inherited the technical baseline described in disparate presentations, spreadsheets, document repositories, emails, and intelligent minds that have long left the project. The Mars2020 Systems Engineering leadership wanted to define their technical baseline in an integrative, data driven manner, that would incorporate the inherited design with the new science instruments and Martian sample caching system. The team chose to leverage advancements in MBSE to garner a better understanding...more
AI (ML) in Engineering Design: Its Status and Readiness for it If you are a product design engineer, a CAE analyst, a test engineer tasked with using machine learning and wondering what that means, where you would start from; this panel will help you to navigate through your options. In this panel session, industry thought leaders in engineering data science will discuss how machine learning will benefit the engineering design process, how to identify the right projects to apply machine learning, discuss key challenges to overcome. Whether you are a product design engineer, a CAE analyst, a test engineer, or a leader tasked with using machine learning and need to know what that means and how...more
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