UberCloud

Helping Mechanical Engineers Win with Cloud
bigcompute-azure

Big Compute in the Microsoft Azure Cloud

UberCloud Compendium of Case Studies

This compendium of case studies describes implementation and use of technical computing applications on the Microsoft Azure Cloud. These case studies have been selected from a wide set of UberCloud experiments performed over the last four years, with applications in the areas of computer aided engineering, life sciences, oil & gas, and financial services.

 

Azure is a comprehensive set of cloud services that developers and IT professionals use to build, deploy, and manage applications through a global network of datacenters. Integrated tools, DevOps, and a marketplace support the user in efficiently building anything from simple mobile apps to internet-scale solutions.

 

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Table of Contents

 

Team 163: Finite Element Analysis for 3D Microelectronic Packaging in the Cloud

Team 176: Aerodynamic Simulation of an Airfoil using UberCloud Containers on Microsoft Azure

Team 182: OpenFOAM CFD Modeling and Product Optimization of Dry-type Transformers

Team 183: Radial Fan CFD Simulation in the Azure Cloud

Team 184: Spray modeling of PMDI dispensing device on the Microsoft Azure Cloud

Team 185: Air flow through an engine intake manifold

Team 186: Airbag simulation with ANSYS LS- DYNA

Team 187: CFD Analysis of a V6 intake manifold using STAR-CCM+ in the Cloud

Team 189: CFD Simulation of Vertical Axis Wind Turbines

Team 190: CFD Simulation of Airflow within a Nasal Cavity

Team 206: Establishing the Design Space of a Sparged Bioreactor on Microsoft Azure

Team 207: Modeling Moisture and Moisture Transfer Within a Residential Condominium Tower

Team 208: 9th Graders Design Flying Boats in ANSYS Discovery Live in the Azure Cloud

Team 212: Demonstrating a Machine Learning Model for Predictive Maintenance on Microsoft Azure

Team 213: Deep Learning in Computational Fluid Dynamics in the Microsoft Azure Cloud

Team 214: Demonstrating a Machine Learning Model for Predictive Maintenance in the Cloud - Part I

Team 217: Migrating Engineering Workloads to the Azure Cloud – An FLSmidth Case Study

 

 

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