Cloud Case Studies

Compendium of Selected Case Studies on Amazon AWS

11 engineering simulation projects on AWS, solving complex problems in manufacturing, faster, more efficiently, with higher quality. Our customers simulated antennas, turbomachinery, hearing aids, sequencing, weather, finance data, cancer genomics, compressor, coronary artery, molecular dynamics, and more.

With Rimac, the fastest electric hypercars finally reach the cloud

In 2021, Rimac and UberCloud forged a partnership, with a need for optimized innovation at its core. Rimac Technology engineers were running more and more simulations with an aging, on-premises high performance computing (HPC) cluster. While compute power continued to fall short, the demand for resources continued to grow exponentially.

Consumer Analytics using Natural Language Processing and AI in the Cloud

The scope of this project has been to develop a consumer analytics framework considering e-commerce review data using AI machine learning techniques in the Cloud. This framework enables a company to understand the consumer in real-time and to identify critical issues affecting its business.

Vehicle Crash Using Ansys LS-DYNA In The Opin Kerfi Cloud

Learn how Ansys LSDYNA Explicit solver is used to numerically simulate the crash of the vehicle with a rigid wall. The main objective of this project is to understand Vehicle crash behaviour under dynamic conditions. The simulation framework is developed and executed in the Opin Kerfi Cloud with UberCloud Ansys containers to achieve good accuracy in result prediction and also with respect to the solution time and resource utilization.

HPC Cloud Simulation Of Direct Current Brain Stimulation In Schizophrenia

Schizophrenia is a serious mental illness characterized by illogical thoughts, bizarre behavior/speech, and delusions or hallucinations. This UberCloud Experiment is based on computer simulations of non- invasive transcranial electro-stimulation of the human brain in schizophrenia.

Simulation Of A Multi-Resonant Antenna System Using CST MICROWAVE STUDIO

Learn how CST Microwave Studio running on Amazon Web Services, has been used for the simulation of a multi-resonant antenna system.

Simulating Drug-Induced Arrhythmias Of A Human Heart With Abaqus In The Cloud

Before a new drug reaches the market, pharmaceutical companies need to check for the risk of inducing arrhythmias. Currently, this process takes years and involves costly animal and human studies. With this new software tool, drug developers would be able to quickly assess the viability of a new compound. This means better and safer drugs reaching the market to improve patients’ lives.

Aerodynamic Simulation Of Airfoil With OpenFOAM on UberCloud & Microsoft Azure

Complex OpenFOAM simulations require big hardware. But with HPC Cloud capabilities, accurate prediction of flow behavior becomes routine

Deep Learning For Steady-State Fluid Flow Prediction In the Cloud

Learn how Artificial Neural Networks were applied to solve CFD problems in the cloud. Time-to-solution was significantly decreased, while preserving traditional CFD solver accuracy.

Simulation Of Airbag With Ansys LS-DYNA on UberCloud & Microsoft Azure

How does an airbag behave under dynamic conditiond? Learn how fine mesh models can be solved on the UberCloud HPC Cloud in speeds that a workstation could never match. All the required simulation tools including Ansys LS-DYNA are pre-installed in the UberCloud Cloud CAE platform so there's no need for IT help.

Aerodynamic CFD Simulations In The Advania HPCFLOW Cloud

Learn how ADC’s HPCFLOW computing resources allowed MantiumCAE to create a CFD simulation quickly and efficiently for the Silvermine 11SR sportscar. To achieve this, MantiumCAE set up a CAE computing environment in Advania’s HPCFLOW cloud where simulations could be carried out quickly and efficiently.

Modeling Airflow Through Intake Manifold: Ansys Fluent on Microsoft Azure

The design of the intake manifold is one of the key factors determining engine performance. The HPC cloud computing environment with Ansys workbench and Fluent made model generation much easier and dramatically reduced processing and post processing

CFD Simulation of Vertical Axis Wind Turbines using CD-adapco STAR-CCM+

Learn about why the Cloud is ideally suited for Computationally Demanding Parameter Studies. Since each wind speed and tip-speed ratio runs independently, progress is limited only by core-count and licenses.

Prediction of Barehull KRISO Containership Resistance with NUMECA FINE/Marine

Learn about how NUMECA FINE/Marine was used in the Cloud for prediction of barehull KRISO containership resistance.

Aerodynamics and Fluttering Study of an Aircraft Wing

Fluid structure interaction problems in general are too complex to solve analytically and so they have to be analyzed by means of experiments or numerical simulation. Studying these phenomena requires modeling of both fluid and structure. In this case study, aero elastic behavior and flutter instability of aircraft wing in the subsonic incompressible flight speed regime are investigated.

Wind Turbine Aerodynamics

With an ever increasing energy crisis occurring in the world it will be important to investigate alternative methods of generating power other than fossil fuels. Wind energy is an abundant resource in comparison with other renewable resources. The case study refers to the evaluation of wind turbine performance using a Computational Fluid Dynamics (CFD) approach. Standard wind turbine designs are considered for this UberCloud experiment and the CFD models were generated in the Workbench environment.

Implantable Planar Antenna Simulation with Ansys HFSS in the Cloud

Design modification and tuning of antenna performance were studied with the implantable antenna placed inside the skin tissue of Ansys human body model. The resonance, radiation, and Specific Absorption Rate (SAR) of implantable PIFA were evaluated. Simulations were performed with Ansys HFSS (High-Frequency Structural Simulator) which is based on Finite Element Method (FEM). These simulations were about 4 times faster than on the local 16-core desktop workstation.