In STAR-CCM+® v11.04, the highly regarded (extended) pom-pom adds to our list of viscoelastic constitutive models. Best suited for highly branched polymers like low density polyethylene (LDPE), it is able to most accurately predict viscoelastic responses for elongational flows commonly encountered in industrial processing.

Data Focus is a unique visualization technique to explore and interrogate results interactively. Data Focus provides a live and interactive link between quantitative numerical data in plots and qualitative visual data in scenes. This link between quantitative and qualitative analysis allows the user to easily and effectively gain insight into the key influences on product performance.

With STAR-CCM+ v11.02, you can now combine two or more materials when simulating extrusions, enabling the analysis of more complex products targeted to very specific applications. For example, multi-luminal medical tubing has very narrow tolerances and needs to meet the highest quality standards. Consequently, it’s critical to understand how design changes to the die profile or variations in feedstock properties can impact end product quality.

The v10.06 release features the introduction of Computational Rheology, a new engineering discipline in STAR-CCM+. Computational Rheology further expands the multidisciplinary scope of STAR-CCM+ and targets problems where viscous and viscoelastic effects are dominant. The types of applications that are now possible to solve are flow in static mixers, flow into containers, pumping slurries with significant heat generation, as well as extrusions and material processing.

Today, I am introducing you to a new method called Query-Based Selection, where filtering and selecting are combined to significantly improve your productivity in STAR-CCM+ v10.06. Query-Based Selection enables you to select groups of objects based on a query and the selection updates automatically whenever objects are added or removed. This opens up many workflow options by preserving the intent of your selections and it affords you the opportunity to create your own custom tools to automate your complex workflows.

STAR-CCM+ v10.04 delivers two new features to help streamline your process for extracting the right information from your simulations. We have added an option to store a history of simulation data at the boundaries only, resulting in a significant savings in disk space and a substantial reduction in time to navigate the stored results. We have also added custom summaries, to enable you to choose exactly what content you want to save from your simulation file in a customized HTML report. With custom summaries, you’ll be able to focus on fewer details, resulting in more effective and efficient communication of the key elements of your simulation efforts.

We know a good scientific visualization when we see one – colormaps are a big part of this and when used effectively, they can make all the difference. The ability to create your own colormap within STAR-CCM+Ⓡ has been around for a long time and around this time last year, we delivered a full featured interactive colormap editor with the v9.04 release.

Still, what makes for a good colormap is not common knowledge. Surprisingly, the most frequently used colormap for scientific visualization, the rainbow colormap, is regarded as one of the least effective.

In this blog I'll tell you how to choose the most effective colormap for you application, allowing you to present your results in a more attractive, more informative way.

New colormaps in STAR-CCM+ v10.04

When asked about the amount of time he spent on his speech preparation, Woodrow Wilson responded: “That depends on the length of the speech. If it is a ten-minute speech it takes me all of two weeks to prepare it; if it is a half-hour speech it takes me a week; if I can talk as long as I want to it requires no preparation at all. I am ready now.” Perhaps some of us can relate to former President Wilson’s remarks. Without any time constraints, exploring a .sim file, or maybe several, in detail, could be an engaging and informative exercise lasting the better part of an afternoon. Yet more often than not, we only have that brief ten minutes to share our story. And, quite often, review requests come on short notice. What if you could quickly assemble and effectively communicate your results from several simulations in a matter of minutes? What if you could walk from one meeting room to the next, with laptop in hand, and be able to quickly collaborate with different teams? As it turns out, there is a way: STAR-View+, new and improved.

STAR-CCM+ v10.02 GPU UtilizationWe get a lot of questions about GPUs, and I think it’s fair to say there’s a lot of confusion and indeed misinformation on the general topic. So, to start things off, let’s clarify what we mean by GPU utilization. GPU is the abbreviation for Graphics Processing Unit. This aim of this enhancement is to enable you to draw (or render) images faster, using your local graphics resources, resulting a better interactive experience when working with STAR-CCM+.

Being able to plot solution quality metrics while your simulation is running, that is, live-processing as opposed to post-processing, is one of the most distinctive functional aspects of STAR-CCM+. This lets you critically interrogate your results and make changes on-the-fly, thereby increasing your productivity. There are many very capable 3rd party plotting tools available. However working with them requires exporting and importing data, adding several steps to your workflow and making it difficult to automate. Still, there’s an argument to be made that plotted results need to be legible and, to a degree, customizable. With this release, we have targeted visual plot quality as an area for improvement.

residence time on several axial cross sections for flow in a simple curved tube


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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
Prashanth Shankara
Technical Marketing Engineer