CD-adapco, a provider of multidisciplinary engineering simulation and design exploration software, has announced it is to accelerate its development efforts for internal combustion engine simulation solutions. The overall plan aims to enhance the capabilities offered in its STAR-CD/ es-ice suite of software, along with enabling a majority of in-cylinder simulation features within its STAR-CCM+ software by the close of 2017.
Additionally, plans are underway to integrate this new capability with a collaborative data management backbone provided by Teamcenter and full 1D-3D coupling between Imagine.Lab Amesim and STAR-CCM+. The combined effort is hoping to improve the model fidelity, simplicity, and speed with which powertrain engineers can create, validate, and improve virtual prototypes of products.
“The ground transportation market has been at the heart of CD-adapco’s success, specifically in the area of Internal Combustion Engine simulation solutions. The recent acquisition by Siemens and synergies with our product offerings will allow us to execute even faster on our multidisciplinary design exploration vision for powertrain customers,” said Bob Ryan, CEO of CD-adapco. “Our goal is to provide the most complete and effective internal combustion engine simulation solution on the market for years to come.”
“We are very excited about the work being done by CD-adapco customers in the area of in-cylinder flow and combustion,” added Dr. Jan Leuridan, senior vice president, Simulation and Test Solutions, Siemens PLM Software. “It directly aligns with our vision of predictive engineering analytics and the digital twin which will allow customers to predict real-world behavior of products.”
CD-adapco’s latest update to STAR-CD v4.26 marks the first steps toward this accelerated plan. Enhancements in the latest release focused on three primary objectives:
Expanding application scope with the efficient and robust “Advanced Wiebe” combustion model, which is more applicable to a broader range of operating conditions and combustion types, Improving productivity with an enriched workflow for fuel injector spray setup and a simplified setup of multi-fuel simulations, Predicting better NOx and soot emissions with the implementation of the NORA NOx emissions model and the Soot Sectional Method with G-equation combustion.
Results from recent benchmark studies show that enhancements to combustion models in STAR-CD are providing superior prediction of knock and emissions. Combining this with design space exploration is enabling the discovery of more innovative designs, and is automating the calibration runs for new injectors and testing different fuels.
