STAR-CCM+
Don't just simulate. Innovate.
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Innovations in Motion and Multi-phase Flow Simulation with STAR-CCM+It's about the cleanup. Are new regulations making you look at your removal processes? In this webinar we'll look at innovation when it comes to your drainage, washing, fluids, film-washing, de-icing and any particle simulation involving non-newtonian fluids such as food particles, sprayers, and more.

The truth is simple cost-savings can save you money when optimizing your laborious clean up methods. With new optimization methods, how do you design your paddle? How do you look at the flow of your drainage? Do you have fouling of your pipes with your convection? Discover potential solutions and a hands-on demo of the multi-phase capabilities within STAR-CCM+.

Join us for this upcoming webinar:
Thursday, Oct. 17
11:30am Pacific / 2:30pm Eastern

Click here to register for Innovations in Motion and Multi-phase Flow Simulation with STAR-CCM+

Simcenter STAR CCM Version 2019With STAR CCM+ 2019.2, Siemens PLM introduces new features that advance the visual storytelling component of engineering communication. The new edition introduces photorealistic rendering and a virtual reality environment that lets you immerse into your simulations and models. 2019.2 launches screenplay, enabling the creation of informative and persuasive animations effortlessly. Screenplay uses an intuitive drag and drop interface that allows for quick animation and interpolation of simulation views and visualizations. The animations allow you to bring your simulations to life and better convey the context by adding impact to the way you can communicate results to clients and colleagues.

STAR-CCM+ is unmatched in automation, increasing productivity and enabling design space exploration. The new simulation operations capability takes the automation to a whole new level. You can now build and execute a sequence of simulation actions directly from the interface without macros. With execution intelligence now an integral part of the simulation pipeline and the reduced need to write macros you can seamlessly orchestrate the various execution aspects of a simulation, allowing you to drive complex simulations through to results with just the single click of a button. 2019.2 includes many more features and updates to help increase productivity and accuracy.

DOWNLOAD FULL NEW FEATURES PDF

 

This demo gives a quick run-through demonstration of STAR-CCM+, focusing on the workflow. We’ll be quickly bringing in a 3D model and show how we can use the meshing pipeline within STAR-CCM+ to extract the fluid volume of the part that we're interested in.

After that we go ahead and apply the physics, define boundary conditions and mesh our fluid volume. We'll be able to set up a few post-processing images, assessing data and be able to run the model, evaluate some of the results that we get from the model and also look at ways that we can improve the results that we get, again, by going back into the meshing pipeline that is offered within STAR-CCM+.

 

 

The way we think of the design process is changing. In this online seminar we cover where CFD & engineering design trends are headed, and help you explore STAR-CCM+, the integrated multiphysics solution for CFD engineers.

We start by looking at where CFD is headed, with a focus on the development of the digital twin. Then we dive into two specific examples of design optimization.

Simulation engineers usually spend most of their time in a scenario like this: you've got one person or a team test exploring the design space, you're putting together the models and trying to test and debug them. By the time there’s a solution and the team can actually do some exploration, they’ve got to wrap everything up and move on to the next fire.

But in truth most of your value is going to come from exploring and assessing the design space. That's where you're going to find your optimal design, your optimal solutions to the problem. The team might be missing the designs that would maximize their reduction in heat, or maximize their thermal performance or any other metric that they’re going after.

 

 

By using STAR-CCM+ the same team can discover better designs, faster. The first aspect is the implementation of parametric models. Built into Star CCM+ is its own 3D CAD tool, which is actually a pretty solid 3D CAD tool. There's a lot that can be done with it. A user can also link to exterior CAD tools such as NX or bring in geometry from pretty much any other CAD tool out there as a native or neutral format.

One of the biggest strengths of STAR-CCM+ is a flexible, robust meshing. It was a pioneer in developing polyhedral meshing. This is a superior form of meshing, especially for handling swirling flows to make sure that your flow is perpendicular to the face. It has a surface wrapper too, enabling you to basically bring in nearly any geometry that you have no matter how complex it is.

In this seminar we also show a couple of examples that we've worked on at Predictive Engineering. The first one is a float mixing problem from an old HVAC job that we had some years ago. The unit sits on top of the hospital and it’s the air mix of a return air and new air mixing in before it goes into the heat exchanger racks. The challenge is to avoid getting hot and cold spots inside the system. Usually you have to have very large spaces and you have these blades so they're set up to turn it. But in this case there are some space limitations.

The second example focuses on wind turbine blades and is a multi objective study because we want it to both look at increasing the velocity through the metal and decreasing the overall drag force. We ran through about 120 different design iterations and on the input parameters we set, when it runs into nonsensible geometry, it just throws it out, skips over it, and it goes onto the next one. It doesn't hang up the software. It really reviews the space automatically for you.

We ended up with about a 30% increase in the velocity. So one can see there can be great gains with a higher velocity and also a reduction in the drag force.

Simcenter EngineerInnovation final 1Carrying the torch onward from CD-Adapco, Siemens has introduced a new publication focused on simulation analysis. Fittingly the first cover of Engineer INNOVATION celebrates some of the many faces of physics, science, mathematics, and innovation that have influenced our lives and the work we do.

Articles of interest to our community include:

  • Project Tailless Drone - CFD simulation and wind tunnel test correlation for a tailless multi-variant sUAS
  • Thales Alenia Space - Exploring new tools and methods for acoustic testing in the space industry
  • Fresh Air on the High Seas - Predicting exhaust plume dispersion on cruise ships

Click here to download the new issue

Let's get right to it: it's called next generation CFD because developers have actually beaten the program into an engineering workable process where you can take your model and you can change various geometric parameters.

Join us on this brief 5 minute journey as we walk through the capabilities of CFD over the years and discover where we are now and how we've gotten here.

If you've been working in CFD for lots of years, these are exciting times. Changing geometry has always been difficult. But now you can parameterize many geometric variables and optimize to a solution, optimize to a temperature, optimize to a velocity, optimize to a chemical reaction capability. And it works. That's really what next generation CFD is about. We've really sort of crossed over to a new method.

Now we understand that there's still uncertainty and doubt, that someone says, oh this is easy, you can do it, but if you look behind the curtain, there's 15 engineers with massive experience banging away on it. But what we what to emphasize is it doesn't take a huge team and months to do it.

In this seminar we show a couple of examples that we've worked on at Predictive Engineering. The first one is a float mixing problem from an old HVAC job that we had some years ago. The unit sits on top of the hospital and it’s the air mix of a return air and new air mixing in before it goes into the heat exchanger racks. The challenge is to avoid getting hot and cold spots inside the system. Usually you have to have very large spaces and you have these blades so they're set up to turn it. But in this case there are some space limitations.

The second example focuses on wind turbine blades and is a multi objective study because we want it to both look at increasing the velocity through the metal and decreasing the overall drag force. We ran through about 120 different design iterations and on the input parameters we set, when it runs into nonsensible geometry, it just throws it out, skips over it, and it goes onto the next one. It doesn't hang up the software. It really reviews the space automatically for you.

We ended up with about a 30% increase in the velocity. So one can see there can be great gains with a higher velocity and also a reduction in the drag force.

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