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Resource type: Blog

Showing 10 of 45 results

Blog

Surface Optimization with Continuous Adjoint

Engineers routinely seek to improve their designs in order to increase a device’s efficiency, reduce energy losses, and increase performance...

Blog

Enhanced Topology Optimization with Multi-Objective Continuous Adjoint

Topology optimization has proven to be an integral tool in the virtual prototyping process within industry. Engineers leveraging next generation...

Blog

Cloud Computing with HELYX and Penguin Computing On-Demand

Companies using simulation in their design process, often utilize a spectrum of computing resources to meet budgetary and uptime requirements,...

Blog

Machine Learning for Accelerated Aero-Thermal Design in the Age of Electromobility

Artificial Intelligence (AI) coupled with traditional Compute Aided Engineering (CAE) tools provide the potential of transforming the engineering design process....

Blog

Automating CFD Analysis Tasks with PYTHON and HELYX

Increase simulation agility, improve team efficiency, and reduce costs by automating computer aided engineering (CAE) tasks.  This is especially true...

Blog

Simulating Conjugate Heat Transfer Multiphysics With HELYX

In real world flows, we often see combined modes of transport phenomena in which momentum + heat transport occurs simultaneously...

Blog

Introduction to Meshing with HELYX

Creating a computational mesh is an extremely important step in the overall process of CFD analysis. A “bad” mesh leads...

Blog

Talking CFD Podcast with Guest, Eugene de Villiers

If you haven’t listened to Robin Knowles’ Talking CFD Podcast, you’re missing out on a unique perspective of world of...

Blog

CFD Analysis of Vehicle Aerodynamics with ELEMENTS

Analysis of vehicle aerodynamics using CFD can be time consuming and prone to variability without a consistently applied methodology. This...

Blog

Improving Engineering Design with Topology Optimization

Virtual prototyping using simulation and optimization tools enables faster, leaner, and more cost effective product development cycles within engineering teams....

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