The Next Big Thing in Engineering Simulation

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All great discoveries and inventions begin with a vision. A vision to make a better product, solve a unique problem or make life easier in some capacity. For centuries scientists and engineers have made tremendous progress in discovering scientific phenomena, or in solving technological challenges. I could write extensively about many of those inventions and discoveries, but there is one I would like to highlight.

In 1928, a Scottish biologist named Alexander Fleming returned to his lab from vacation. As he was sorting through some petri dishes he noticed something unusual. One particular dish had several colonies of bacteria and a cluster of mold. However, there was no bacteria growth near the cluster of mold. Although he did not realize the magnitude of his observation at that moment, he would later be credited with discovering the first lifesaving antibiotic, which he called penicillin.


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ANSYS AIM Webinar / 27 July 2017 @ 5:30PM

Event: Webinar: Elevate Designs to the Next Level With Engineering Simulation

Date: July, 27 2017

Time: 11:30 AM (Eastern Time Zone)

Description: Engineering simulation can be used to develop products that fail less and deliver better results. The barriers once preventing design engineers from using simulation tools are now being removed by ANSYS AIM. It is an easy to use tool with guided workflows in the most common physics simulations. After completing this webinar, you will be able to: --- Have a framework for implementing simulation in your organization if you’re not yet using it. --- Have confidence in ANSYS AIM to perform engineering simulations as part of your product development process. --- See how ANSYS AIM can reduce simulation bottlenecks and promote better designs --- Extract useful design guidance from any simulation study


Nippon Steel & Sumitomo Metal uses Rocky DEM to optimize material charging into a blast furnace

Nippon Steel & Sumitomo Metal Corporation (NSSMC) wanted to understand and improve the difficult-to-observe process of material charging into a blast furnace, which converts iron ore and coke materials into pig iron. To accomplish this, they needed a way to cost-effectively reproduce the material shape, size distributions, and flow behavior of the process, and do so quickly enough to act upon the results.

 NSSMC used Rocky DEM to:
- Accurately replicate the material size, shape, and flow behavior of their irregularly shaped coke and iron ore particles
- Solve multiple simulations quickly by processing simulations on multiple GPU cards
- Save time by making use of the Rocky Scheduler tool to run several cases in series

 Discover how NSSMC:
- Evaluated the behavior of non-sphere-based, realistically shaped particles in a quantitative way
- Gained more insight into the angular particles’ flow and packing behavior
- Saved experiment costs while ensuring more accurate results

 To access the complete Case Study, please click here

Optimizing Tunnel Ventilation Fan Blades for Energy Efficiency Using the Adjoint Solver

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Because fossil fuel resources around the globe are finite, an overriding engineering design challenge is energy efficiency and sustainability. Today I’ll use tunnel ventilation fans as an example to illustrate how CFD simulation and advancements in our Adjoint Solver in ANSYS 18 can optimize fan blades performance.

According to a report by Mosen Ltd., a leader in this industry, the “greening” of tunnel ventilation is still in its infancy. The application consumes substantial power, sometimes several megawatts; in addition, governmental regulations often require tunnels beyond a certain length (for example, 300 meters) to have ventilation systems that disperse exhaust and control smoke in case of fire. As a result, tunnels need more ventilation capacity than what would be needed for day-to-day air quality.

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ANSYS AIM for Design Optimization

Simulation is an increasingly important part of product design where the ultimate goal is design optimization. After completing a simulation on a baseline design, it is common for engineers to perform the same simulation on multiple design iterations, under varying operating conditions, to identify which design delivers optimum performance. The combination of multiple design iterations and operating conditions requires engineers to run tens — or even hundreds of simulations to identify the optimal design. Setting each simulation up manually can be very time-consuming and expensive.

With ANSYS AIM, you can re-use the baseline simulation to automatically run simulations for additional design iterations simply by using a consistent naming convention. The example below shows how you can do his by considering four design variations of a water mixing junction.



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White Papers

  • Breakthrough Energy Innovation: Ambition and Urgency


  • Simulation-Driven Product Development Enables: Breakthrough Sustainable Energy Innovation


  • Why Engineering Simulation is Critical for Breakthrough Energy Innovation


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