Altair
Case Studies
Simulating Lubrication Flow to Predict Traction Oil Distribution Inside a NuVinci® Product
Overview
Simulating Lubrication Flow to Predict Traction Oil Distribution Inside a NuVinci® ProductAltair |
Infrastructure as a Service (IaaS) - Cloud Computing Sensors - Liquid Detection Sensors | |
Automotive Oil & Gas | |
Maintenance Product Research & Development | |
Transportation Simulation Virtual Reality | |
Cloud Planning, Design & Implementation Services System Integration | |
Operational Impact
The solution provided by Altair has been beneficial for Fallbrook in several ways. The SPH method provided benefits over traditional grid-based methods, particularly in the area of preprocessing, making it more likely for a non-expert to succeed using this method and tool-set of SimLab and nanoFluidX. The cloud computing resource provided by Altair was the only viable solution for Fallbrook, fitting within their budget constraints. The ease and convenience of logging into PBS Professional to check solution status remotely was an added benefit. Furthermore, having the solution running on the cloud made it significantly easier for Altair support engineers to step in and help or advise as required to keep the project moving along. As the product develops, the team anticipates an opportunity/need to optimize the design with simulation playing a role. | |
Quantitative Benefit
Ease and convenience in logging in to Altair PBS Professional™ for remote updates to solution status | |
Cost-effective, viable computing resource in the cloud for small businesses | |
Simulated splash lubrication at a reasonably high-surface velocity (30m/s) involving numerous imposed motions (12) and a large particle count (>20million) | |