Blog

STAR-CCM+ is now part of the new Simcenter™ Porfolio for predictive engineering analytics. Simcenter combines simulation and physical testing with design exploration and data analytics to help customers develop digital twins that accurately predict product performance.

Our mission as a company is to help you discover better designs, faster (and stay ahead of the competition!). What this means is that we provide you with right tools to intelligently drive your designs and help you make sound real-world engineering decisions but equally important, we make sure that Multidisciplinary Design eXploration (MDX) is affordable for your organization by offering MDX-friendly licensing models..

I spent most of my career in industry running free, open source CFD tools and it was not until I started using STAR-CCM+®  a few years back that it finally dawned on me : free simulation software often comes with a hefty price tag. I understand that this may sound like a contradiction in terms, after all it doesn’t get any cheaper than downloading a code with one click of a mouse and having the freedom to use, modify and share it without spending a dime. But there is a far- reaching hidden cost that must be factored in when considering the true value of your simulation software: your time spent making it work. And how much is that time worth?

I am not a soccer fan, but all the men in my life are fanatics and thus World Cup fever has taken over the Goodwin household. You might be surprised at what happens when an uninterested CFD engineer is forced to watch soccer...

I wanted to take a moment and shine the spotlight on our coupled density-based solver. I must admit, I am perhaps a bit of a biased writer because after all, I have spent most of my career in industry analyzing and optimizing aircraft performance in flight regimes where the need for accurate shock capturing was part of daily life. Coupled solvers with a density-based approach have a proven track record for delivering robust solutions for these types of applications so it should come as no surprise that these numerical methods continue to spark my interest.

The biggest challenge of gradient-based shape optimization using high-fidelity CFD has always been the formidable computational expense tied to constructing the sensitivity of the objective (or cost) functions with respect to the design variables.

Subscribe to RSS - Sabine Goodwin's blog
Matthew Godo
STAR-CCM+ Product Manager
Brigid Blaschak
Communications Specialist
Stephen Ferguson
Marketing Director
Dr Mesh
Meshing Guru
Joel Davison
Lead Product Manager, STAR-CCM+
James Clement
STAR-CCM+ Product Manager
Sabine Goodwin
Director, Product Marketing
Deborah Eppel
Technical Marketing Engineer