Teaching MBSE at university: a use case
Systems engineers and architects are vital in today’s complex, multidisciplinary engineering world. But how can we equip students to master these essential skills from day one in their careers? Kathryn Wesson, a professor at Embry-Riddle Aeronautical University (ERAU), Arizona, is pioneering Model-Based System Engineering (MBSE) teaching with a hands-on, practical approach rooted in current—and emerging—industry […]
Accelerating Packaging Design with AI and Machine Learning
Packaging for consumer goods has to meet many different requirements, including cost, weight, strength and sustainability. Machine learning enables packaging manufacturers to understand the impact of design changes much faster than traditional simulation methods allow, and to rapidly explore the entire design space to find innovative new packaging designs. AI-enabled unified modeling and simulation (MODSIM) […]
Optimizing Battery Range and Thermal Comfort in Electric Vehicles
This blog explores how Dassault Systèmes employs cutting-edge simulation technologies and advanced computational tools such as Computational Fluid Dynamics (CFD) and 1D system modeling to accurately simulate and optimize these complex interactions and thereby improving both battery efficiency and cabin comfort in EVs By Rakesh Dontham Introduction The electric vehicle (EV) industry is making great […]
Machine Learning in Electromagnetics
SIMULIA is delighted to work with engineering leaders and academics as they leverage simulation capabilities to help shape the future of their industry. Today, we are proud to introduce Jan Carsten Hansen from the Technical University of Graz and 2023 SIMULIA Champion, to talk about how he sees the possibilities that Machine Learning can bring […]
Simulate Electrostatic Discharge on a Virtual Twin
Electrostatic discharge (ESD) is a major risk to electronic devices. ESD occurs when a static charge accumulates, for example, on a moving vehicle or the body of the user and discharges through the device. The transient voltage can cause spurious data signals or even damage or destroy components. Managing ESD is critical to ensure that […]
General Motors Puts the Spring in Suspension with Simpack
American multinational automotive manufacturer General Motors relies on SIMULIA to model complex multibody dynamics for leaf spring suspension systems By Katie Corey Challenge Find a more efficient, accurate way to model the complex configurations and multibody dynamics of leaf spring vehicle suspension systems. Traditional approaches were intricate, challenging and resource-intensive, making it difficult to model […]
Packaging OEM Magazine Interviews Dassault Systèmes
Packaging OEM Magazine interviews Ray Wodar from Dassault Systèmes about how CPG brand manufacturers can accelerate sustainable packaging development. By Brian Carboni Packaging OEM magazine recently interviewed Ray Wodar, global director business consulting for the CPG & Retail industry at Dassault Systèmes, about how CPG brand manufacturers can accelerate eco-friendly and sustainable packaging designs. Here’s a brief Q&A with […]
Using MODSIM for CPG Packaging
Modeling & Simulation (MODSIM) can lightweight packaging while optimizing for time, cost, quality and sustainability By Brian Carboni In the lightning fast world of consumer goods, packaging development is not just about aesthetics—it’s a crucial element that affects functionality, sustainability, and brand perception. To comply with upcoming regulatory deadlines across the globe, brand manufacturers must […]
Machine Learning Accelerates Centrifugal Pump Design
In this blog post, we show how machine learning can be used in the design process of a centrifugal pump to optimize diffuser geometry. The AI model is trained on data from best-in-class simulation tools which produce reliable data that closely agrees with experimental validation results. Using a trained AI model based on simulation data, […]
Rapid Aerodynamic Development using CFD and Machine Learning
This blog illustrates how aerodynamic data obtained from the 3DS CFD PowerFLOW software combined with data-driven methods can enable car manufacturers to obtain clean 3D contour plots of the vehicle’s surface X-force distribution, the associated integrated vehicle drag force and more within several minutes on a single GPU By Dr. Faron Hesse Summary The vehicle […]