Student Resources

4121. Leveraging Scientific Machine Learning to Augment Engineering Modelling and Simulation

      What, exactly, is Scientific Machine Learning, and how can it enhance traditional simulation? What role does it play in building surrogate models like Neural Operators or Physics-Informed Neural Networks? This webinar explores the transformative potential of Scientific Machine Learning, a powerful approach that fuses the rigour of physics-based modelling with the adaptive power of data-driven algorithms. Discover how this synergy is bridging the gap between complex simulations and real-time decision-making, unlocking new potential in product development. The webinar will focus on enabling you to augment , not replace, your established simulation workflows. create highly accurate surrogate...more

4122. ASSESS Congress 2019 - Opening Remarks

      This Presentation, ASSESS Congress 2019 - Opening Remarks, is from 2019. NAFEMS & ASSESS members can view / download when logged in. The ASSESS Initiative is a broad reaching multi-industry initiative with a primary goal to facilitate a revolution of enablement that will vastly increase the availability and utility of Engineering Simulation, leading to significantly increased business benefits across the full spectrum of industries, applications and users. Since June 2022, ASSESS as been part of NAFEMS....more

4123. Informing Model End-Users in Industry on the Credibility of Predictions

      Overview Modeling and simulation (M&S) are a well-established part of the engineering design process. M&S are also gaining traction in other product life cycle processes through concepts like certification-by-analysis and digital twins. These advancements and the widespread influence of M&S continue to add relevance to the question of how much to trust computational model predictions. The answer to this question can be extremely challenging to determine and strongly depends on the application. Even if there is Verification, Validation, and Uncertainty Quantification (VVUQ) evidence to build credibility in the model predictions, this information is often difficult to convey to the model end-users...more

4124. How to Tell the Difference Between a Model and a Digital Twin

      “Digital twin” is currently a term applied in a wide variety of ways. Some differences are variations from sector to sector, but definitions within a sector can also vary significantly. Within engineering, claims are made regarding the benefits of using digital twinning for design, optimisation, process control, virtual testing, and lifetime estimation. In many of its usages, the distinction between a model and a digital twin is not made clear. "When I use a word, it means whatever I want it to mean": Humpty Dumpty in Alice’s Adventures Through The Looking Glass, Lewis Carroll. The danger of this variety and vagueness is that a poor or inconsistent definition and explanation of a digital twin...more

4125. Where Do We Get the Courage to Sign the Blueprint?

      In this webinar the sources of error in numerical simulation and methods used for controlling them will be discussed. It is shown that when the size of the numerical errors in the quantities of interest (QoI) are not known then it is not possible to certify that a design is in compliance with the design rules. Therefore error estimation in terms of the QoI is an essential technical requirement. Error estimation is possible only when the mathematical model is properly formulated. This webinar will also highlight the differences between finite element modeling and numerical simulation. The creative aspects of formulating mathematical models and objective methods for ranking their performance are...more

4126. The Role of Manufacturing Simulation in Automotive Product Development – Upfront Evaluation of Formability and Cost

      This presentation was made at NAFEMS UK Conference 2018, Taking Engineering Analysis and Simulation to the Next Level". The NAFEMS UK Conference 2018 brought together all those involved in analysis and simulation from every corner of industry and academia, giving them an opportunity to advance their knowledge, give their organisations a competitive advantage, and a chance to be part of improving the technology itself. Resource Abstract Computer aided engineering methods have been applied to the simulation of manufacturing processes for many years. Techniques such as finite element analysis (FEA) and computational fluid dynamics (CFD) were applied to trouble shoot problems arising in production....more

4127. The Role of Manufacturing Simulation in Automotive Product Development - Upfront Evaluation of Formability and Cost

      Virtual Engineering is routinely used as a key tool in the development, optimisation, and verification of products alongside design guidelines and prototypes testing. For a considerable part of the process the only available assessments originate from simulations, engineers must therefore ensure the virtual results are not only delivered but also effectively used. This includes meeting several criteria such as timing, accuracy, robustness, limitations and suggestions appropriate to the project stage. Setting the quality requirements in this loop has been a common responsibility for the simulation specialists and the consumers of simulation results.Now virtual engineering is becoming more accessible...more

4128. CFD for Structural Designers & Analysts

      T​his course has now been retired, and it's contents incorporated into the expanded "Introduction to Practical CFD" course. Do you need a more accurate approach to include fluid loads or thermal boundary conditions for structural analyses than idealized and simplified approaches? Do you know the important fluid dynamics phenomena in multidisciplinary problems? What is the role of CFD in strongly coupled fluid-structure interactions? Get the answers to these questions and more with this industry-leading, code-independent e-learning course. CFD for Structural Designers & Analysts This 3-session, live online course will cover a range of topics, all aimed at the structural designer and analyst who...more

4129. Using Digital Twins to Accelerate Product Development – A Beginners Guide

      Abstract Digital Twins have predominantly been applied to predictive maintenance of high value, low downtime assets. However, realising their full benefit as part of the product development process remains unclear. The main challenge for simulation teams is not creating good models, but the establishment of a new workflow that can make use of connected product data. Indeed, creating a compelling case for a product to be connected in the first place, and provide meaningful data, can be a major hurdle. To overcome these challenges, a proof of concept is initially required to clearly demonstrate benefit to the business, and ultimately the customer. Simulation and product development teams are well...more

4130. How to – Model the Additive Manufacturing Process

      Over the last decade the Additive Manufacturing process has attracted a high level of interest due to the potential that the process has to revolutionise the way engineering companies design products. As well as offering rapid cycle times from initial concept to finished product it also allows previously unmanufacturable designs to be produced. However, even with AM, it is not possible to just “print” any shape out of metal. Distortion and cracking are recurring issues. Process simulation has a key role to play in resolving these issues and optimising the process parameters. This document provides guidance for people wanting to predict residual stress and distortion of metal additive manufactured...more

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