Design & Simulation

Latest articles

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 to electromagnetic simulation.

Unlocking the Potential of CATIA in the Building Industry

Antoine Duphil Consultant CAD/PLM at TECHSO interviewed by Jonathan ASHER CATIA Construction Sales Director on how his company use 3DEXPERIENCE CATIA

Benefits and Challenges of Using Big Data in Resource Estimation

The good news is that advances in data acquisition technologies mean that a whole new world of soft data – from downhole geophysics, multi- and hyper-spectral core scanning, and more routine collection of geometallurgical parameters – is now available to inform and enhance resource modelling and estimation.

Building Efficient and ESG-Compliant Mines with Virtual Twins

In order to supply demand, the mining industry must discover more copper deposits, increase inventory, and accelerate production. The challenge lies in developing mines quickly while adhering to ESG norms, environmental regulations, and community stakeholder buy-in. Integrating technology across the mining value chain can reduce uncertainty and expedite this process.

Improving Geological Modelling in the Age of Data Overload

However, while today’s big data and advanced technology can help geologists generate more accurate models than ever before, there are still challenges to overcome in using all that data and technology successfully. Fortunately, there are also solutions.

Debugging Abaqus Models

This blog is a comprehensive exploration of the process of debugging models in Abaqus/Standard, with a specific focus on resolving convergence issues. It provides a detailed comparison between Abaqus/Standard and Abaqus/Explicit, using iterative methods and strategies, highlighting the importance of understanding model features, adopting systematic approaches, and maintaining perseverance in the face of issues.

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

Unlocking Value in Mining

The bottom line is that a centralised system deployed either on premises or on cloud would make the execution of the company’s Disaster Recovery Plan way more straightforward compared with decentralised systems.