Cloud-based Online Access to Computational Fluid Dynamic Simulations
Project Status: running
Start Date: March 2022
End Date: March 2025
Budget (total): 10249 K€
Effort: 75.5 PY
Project-ID: C2021/x-y
Name: Martin Schifko
Company: Engineering Software Steyr
Country: Austria
E-mail: martin.schifko@essteyr.com
Engineering Software Steyr, Austria
Citkar GmbH, Germany
IONOS, Germany
AUDI AG, Germany
Scientific Solutions Systems, Poland
MYB Yzilim Muhendislik A.S., Turkey
Abstract
Computational Fluid Dynamics (CFD) simulations utilize computational resources to simulate free flows of fluids (air, water, etc.), and the interaction of fluids with surfaces. CFD simulations are used in development of new mechanical parts in the automotive, aerospace and military industries to increase efficiency. CFD based experiments are cost effective in comparison to conventional methods and can estimate properties which cannot be empirically measured. For the last decade, Engineering Software Steyr GmbH (ESS) has been developing new CFD capabilities (particle-based methods) in the form of four new solvers (CFD simulation programs) and hybridizing them to increase usability.
CFD simulations require great expertise often unavailable for small or medium enterprises (SMEs). This restricts their competitiveness as vendors for manufacturing industries. The goal of the Cloud-based Online Access to Computational Fluid Dynamic Simulations (COA-CFD) consortium shall democratize CFD simulations. This will enable non-expert users and opening this field for wider audiences and markets.
Democratization will be achieved via hybridizing different solvers and by improving the human interaction interface. This will enable an on-demand cloud solution. Furthermore, a design optimisation framework will be integrated into the solution by the University of Kaiserslautern (TUK) for an even better user experience.
MYB Mühendislik Yazilim A.S. (MYB) and Audi Aktiengesellschaft (AUDI) will develop two top coating solutions for the automotive industry. These coating methods will be simulated by ESS’s cloud platform solvers to provide actual demonstration for the benefits of the system. COA-CFD includes demonstration of a specific use case to test the platform in real-life scenarios on Citkar (CIT) and AUDI vehicles. Scientific Solutions Systems (SSS) shall design, build the cloud software to allow seamless deployment of software platforms that will withstand high workloads.