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Pervasive Systems Thinking & Simulation: Who, What, When, Where, Why & How? Watch Recording | Download Slides (PDF) Webinar Series Background In this ground-breaking webinar series from NAFEMS and Revolution in Simulation on " Achieving Pervasive Engineering Simulation: 2020-2030 ," we’ll be looking beyond the present to the next ten years of advancements in simulation that are needed to support Systems Thinking for a Model Based Enterprise. The series will explore how the latest technology trends and simulation methods will develop and impact our industry and society during the next decade. Learn more about the Achieving Pervasive Engineering Simulation: 2020-2030 webinar series....more
Analysis Planning & Simulation Data Management, Complementary Techniques to Assure Confidence in Simulation Results Althea De Souza from Quesada Solutions Ltd Essential steps in simulation governance for an analyst are to record what you plan to do to analyse an engineering problem and then to record what you assumed, what you did, what you found and what you concluded. While this is stating the obvious, consistent record keeping is essential for peer review, justification of results, quality compliance, subsequent further analyses and building a knowledge base. However, record keeping can be dull and time-consuming and it’s easy to forget to record assumptions which were obvious at the time...more
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Verification and Validation L001, NAFEMS & ASME, What is Verification and Validation?, 2009. A short note on the widely accepted definitions of verification and validation....more
Three Practical AI Use Cases for Manufacturing Processes Remi Duquette, Maya HTT Abstract: Manufacturing companies face the challenge of turning their AI investments into tangible returns and ensuring long-term adoption. If you think your data-rich and ready for an industrial AI project? Come take a closer look! We will present three (3) successful industrial AI use cases running 24/7/365 for the benefit of our manufacturing clients. Machine learning and deep learning and now generative AI has evolved a lot over the past few years. We will cover the biggest barrier to adoption (no, it is not the tech). We will also review the data engineering best practices that need to be implemented to...more
This panel session was held at the 2021 NAFEMS World Congress Discussion topics Automotive 2 - Prototyping – Valuable knowledge or misleading information? [Experience exchange – In which cases are prototypes less confident] - Your product behaves differently – What to do? [Management of varying results] - Combination of known and unknown - Artificial Intelligence in simulation with limited amount of training data Automotive 3 - What does Virtual Simulation impact Automotive Mass Production. Product design, manufacturing efficiencies,…?? - How does system digital thread best used for vehicle performance simulation? - What simulation methods are best used to model and drive automotive sensor operation...more
What is Multiphysics? So, what is multiphysics? Why do we need it? How do we use it, and what are the challenges? The NAFEMS Multiphysics Working Group held this free "What is Multiphysics" webinar to discuss these issues and more. An experienced panel looked at how we define the term 'multiphysics', as well as examining other aspects related to multidisciplinary and multiscale topics. Who should attend? Everyone interested in multiphysics who wants to learn more about its application, challenges involved, and how to engage fully with the technology. Key Takeaways Attendees heared about how the working group defines multiphysics, why the industry needs it, and the challenges involved in implementing...more
This presentation was made at the NAFEMS Americas Seminar "Model-Based Engineering: What is it & How Will It Impact Engineering Simulation" held on the 1st of October 2019 in Columbus Ohio Resource Abstract Smart Model Based Systems (SMBSE) engineering is an evolution from Model Based Systems Engineering (MBSE), by incorporating digital capabilities to expedite a quality execution and minimize unintended effects. SMBSE integrates Systems Engineering (SE) functionality with a suite of smart tools, by modelling complex systems, requirements, constraints, targets, validation and verification plans, to develop the simplest solution. The SMBSE distinctive features from the conventional MBSE include...more
BENCHMARK January 2021 What next? In the BENCHMARK January 2021 Issue, you will find out about: Setting a Realistic Agenda for Engineering Analysis & Simulation AI, Data-Driven Models & Machine Learning - What Next? Is Your House in Order? Your Engineering Simulation House, that is! Does the Big Getting Bigger Stifle Innovation? I Don’t Think so… What Next? The Community View The Democratization of the Digital Twin Approaching The Singularity What Next for Diversity in Engineering Simulation? NAFEMS World Congress 2021 Generative Design Towards a Unifying Perspective Digital Twin Based Condition Monitoring of a Knuckle Boom Crane:An experimental study What Next for Training?...more
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