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With the release of STAR-ICE in STAR-CCM+ v12.06, Siemens PLM is directly addressing the need for more engine simulation capabilities by offering fast and simple setup of in-cylinder simulations directly within STAR-CCM+. This first release will address the setup of cold flow simulations for multi-valve engines with the automated setup of mesh motion, allowing the user to go from raw CAD geometry to running simulation in just minutes. Default settings and automatically-created post-processing output are aimed at giving the engine engineer a “running start” and mean that you don’t need to be a CFD expert to setup and run one of the most challenging CFD simulations around!

A key new feature in STAR-CCM+ v12.06 is the zip operation, one of several new operations that have been added in this latest release, and without a doubt the one that I am most excited about.

The zip operation introduces a host of new possibilities, both by itself and when combined with "replace part". Fundamentally the zip operation can be thought of as a Boolean unite for surfaces. If you have a part with a missing surface and another part that fills that missing area, the zip will combine the 2 (or more) parts and sew the edges to create a closed volume. The zipped parts can then be used in subsequent operations. For those of you who work with STAR-CCM+ regularly, this is essentially just running the surface repair feature sew, under the hood.

The proposition that “less is more”, first penned by Robert Browning back in 1855, has stood the test of time. It has influenced architecture throughout this century and the last and was keenly assessed in a quote from Frank Lloyd Wright, inspiring the title of this blog today. When we model transient phenomena, it’s easy to generate more data than we can practically work with. We’re driven to it by physics – some processes are inherently unsteady (acoustics, external aerodynamics, in-cylinder combustion, mixing,…). If we can’t efficiently understand and communicate our results, more files, consuming more disk space and resources, is definitely no good. So how do we get to less? With STAR-CCM+ v12.06, our Solution History (.simh) capability comes into play once again, making it possible for you to create effective time history plots quickly and easily from your .simh content without having to take the time and effort to re-run your analyses. And that’s just the beginning...

In the past decade, the CFD simulation of combustion processes has advanced beyond all recognition, as the advent of inexpensive super-computing makes use of complex chemistry and large eddy simulation (LES) increasingly affordable. The latest release of Simcenter STAR-CCM+ makes realistic combustion simulation more accessible than ever with the introduction of dynamic mechanism reduction and subgrid spark ignition for LES

Here in the UK, we are not known for large amounts of sunshine but this summer was the greenest ever for energy, largely driven by the huge growth in the number of solar and wind farms. Between May and September 2017, over 50% of power came from low-carbon sources, compared with 35% in 2013. The energy mix for power generation is changing rapidly, driven by the global goals agreed in Paris to significantly reduce greenhouse gases from electricity production. Natural gas power stations play a vital part in this effort, open and combined cycle gas turbines are increasingly being used to smooth out the peaks in power generation, balancing intermittent wind and solar.

Of the many phrases and terms used to describe developments in digital technology, one that very clearly captures the essence of how this can be harnessed in the world of engineering design and operations is the “digital twin.” In essence, the digital twin is the building of computer-based models that replicate real-world behavior and responses including mechanical, electrical, structural, fluid or hydraulic and chemical. Building a digital twin provides the means to design, validate, optimize and operate a component or product, engineering system, manufacturing process or production facility in the virtual world.

Back in 2012, the Steve Portal was launched to supplement the best-in class support our customers were already receiving. The Steve Portal provided another way of receiving support by having access to all the latest information in the way of FAQs, along with the ability to open and manage cases with their dedicated support engineer. In the nearly 5 years since its launch, the Steve Portal has populated to over 4,000 knowledge-base articles, including demonstration simulation files, how-to videos and step-by-step best practices for specific applications that have generated almost 2 million views.

Our recent STAR Global Conference 2017 showed again the growth of modeling and simulation in the Life Sciences sector. Over the three-day conference, our customers gave wide-ranging presentations, showing the huge benefit that STAR-CCM+® software is bringing to this sector. One innovative use of STAR-CCM+ was presented by Professor Klaus Affeld, from Charité – Universitätsmedizin Berlin. Professor Affeld, with co-workers Bente Thamsen and Michael Lommel, is using STAR-CCM+ to predict the formation of blood clots in heart pumps, aiming to improve pump design and reduce the formation of potentially life-threatening clots. In this blog post, I have asked him to describe his research and share his latest results with us.

The greatest discoveries in the 19th and 20th century, in general, pointed to very similar observations in numerous fields: every quantity that appeared to be continuous was discovered to be discrete. Light consists of photons, matter of atomic and sub-atomic particles, the energy level of electrons consisted of quantas, digital information flows in bits and even hereditary information is transferred in smaller discrete units called genes. Most of the efforts of scientists revolved around building the nature of reality from such discrete elements and their transport. Developing fundamental models for the discrete behavior gave the necessary understanding and the tools to recreate the apparent continuity in the observable phenomenon.

Stewart Bible, of Resolved Analytics in Durham, North Carolina, has become the first Siemens PLM Platinum Level Certified STAR award recipient. Stewart was presented with his Platinum certificate in an online ceremony attended by Global VP of Customer Success, Stephen McIlwain, Training Manager and Global Support Team member Aaron Bird, and Dedicated Support Engineer, Chandraprakash Tourani.

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Matthew Godo
STAR-CCM+ Product Manager
Stephen Ferguson
Marketing Director
James Clement
STAR-CCM+ Product Manager
Dr Mesh
Meshing Guru
Joel Davison
Lead Product Manager, STAR-CCM+
Ravindra Aglave
Director - Chemical Processing
Karin Frojd
Sabine Goodwin
Director, Product Marketing