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Showing 10 of 45 results

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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...

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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...

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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,...

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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....

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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...

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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...

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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...

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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...

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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...

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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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