Case Studies > Pinnacle Engines Achieves 80% Turnaround Time Reduction

Pinnacle Engines Achieves 80% Turnaround Time Reduction

Company Size

11-200

Region

America

Country

United States

Product

Rescale’s ScaleX platform
CONVERGE CFD software

Tech Stack

Cloud Computing
Computational Fluid Dynamics (CFD)
Data Encryption

Implementation Scale

Enterprise-wide Deployment

Impact Metrics

Innovation Output
Productivity Improvements

Technology Category

Analytics & Modeling - Computer Vision Software
Infrastructure as a Service (IaaS) - Cloud Computing

Applicable Industries

Automotive

Applicable Functions

Product Research & Development

Use Cases

Predictive Maintenance
Process Control & Optimization

Services

Cloud Planning, Design & Implementation Services

About The Customer

Pinnacle Engines is a game-changing engine company that is developing and commercializing an ultra-efficient engine architecture. The company uses Rescale to quickly run a wide variety of simulations, including the analysis of a four-stroke internal combustion engine using the computational fluid dynamics (CFD) tool, CONVERGE by Convergent Science. The company aims to design an engine with 30-50% fuel efficiency, which requires many simulations, constant iterations, and the compute power to accomplish all this within project timelines.

The Challenge

Pinnacle Engines, a company developing and commercializing an ultra-efficient engine architecture, needed to run a wide variety of simulations, including the analysis of a four-stroke internal combustion engine using the computational fluid dynamics (CFD) tool, CONVERGE by Convergent Science. The design of an engine with 30-50% fuel efficiency required many simulations, constant iterations, and the compute power to accomplish all this within project timelines. Running tens to hundreds of models simultaneously required extensive compute resources and access to a large pool of simulation software licenses, equating to large up-front costs and personnel investments. Even with a powerful internal processing cluster, the ability to run parallel jobs was significantly limited.

The Solution

Pinnacle Engines used Rescale’s cloud simulation platform to run injector model characteristic studies, geometrical simplification studies, and reaction mechanism reductions, among others. Each of these analyses was used to design an ultra-efficient and powerful four-stroke engine. Using Rescale, Pinnacle Engines was able to set up tens of jobs within minutes, customizing simulation resources for each job. Job-tailored compute resources were dynamically provisioned within five minutes of job submission. They were able to run tens of jobs simultaneously without having to queue for software or hardware. They executed simulations whenever needed using both on-demand Rescale hardware and CONVERGE software. They gathered results and delivered them to local servers for post-processing and analysis. They securely ran proprietary simulation models with end-to-end data encryption on isolated, encrypted clusters.

Operational Impact

Pinnacle Engines was able to set up tens of jobs within minutes, customizing simulation resources for each job.
Job-tailored compute resources were dynamically provisioned within five minutes of job submission.
They were able to run tens of jobs simultaneously without having to queue for software or hardware.
They executed simulations whenever needed using both on-demand Rescale hardware and CONVERGE software.
They gathered results and delivered them to local servers for post-processing and analysis.

Quantitative Benefit