Trends in (Computer-Aided) Engineering Driving HPC Innovation

Last Friday, I gave a keynote talk at HP-CAST18 in Hamburg, Germany, about the trends in engineering that are driving HPC innovation. It was my first time joining HP’s worldwide HPC User Group Conference, and I was particularly impressed by HP’s detailed roadmap for new platforms, storage systems and low-energy computing, as well as their progress towards exascale computing.

I felt honored to be invited to speak in front of HP executives, HP technical staff, industry analysts, HP customers and partners. It’s a sign that HP seriously takes into account input from ISVs (independent software vendors, like ANSYS). Basically, my presentation identified some major challenges and trends in (computer-aided) engineering that are driving the demand for more HPC software innovations. Continue reading

Fluid–Structure Interaction Using System Coupling

With the release of ANSYS 14.0, ANSYS Fluent users can perform two-way fluid–structure interaction (FSI) simulations using the ANSYS next-generation coupling technology — system coupling.

The system coupling component in ANSYS Workbench offers a generic way to couple two or more participants in the Workbench environment. In release 14.0, you can link Fluent and ANSYS Mechanical via system coupling to facilitate FSI simulations.

This post provides a broad overview of the capabilities offered with system coupling and the types of cases you can solve. I’ll try to avoid just listing the features. Continue reading

The Challenge of Point Cloud Data Mapping for Structural Engineers

Many structural engineers face the challenge of mapping (interpolating) data — such as pressures, thicknesses or temperatures —  on a finite element mesh (also known as point cloud data mapping). This often happens within companies where the analysts performing CFD or thermal analyses are not the ones performing the structural analyses. This also happens when the company is using tools from different providers.

Common data that analysts need to import as boundary conditions are pressures and temperatures. For example, think of a gas turbine where pressure and temperature results  from the CFD computations need to be used for the structural analysis.

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From Optimization to Smart Optimization – Adjoint Method

I am always impressed by the capabilities of computational fluid dynamics and how companies and their engineers strive to optimize their design to create high-reliability, high-performances products. This is why I was extremely excited when I heard about a new optimization technique known as the adjoint method.

Of course, several different optimization techniques are already commonly used. The easiest technique is to optimize a product by analyzing a large number of configurations and selecting the one that delivers the best performance. This can be done using experiments or simulations. I will only discuss the simulation concept in the rest of this post; after all, we already know that simulation tools delivers great ROI and provide an excellent way to optimize design. The problem is that employing thousands of simulations to find the best design is much too time consuming. But, performing simulation for only a fraction of those designs and using practices like gradient methods, evolutionary algorithms and reduced-order models will identify the best design using a reduced set of simulation results.

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Introducing Assembly Meshing with ANSYS 14.0

The release of ANSYS 14.0 software introduces a very exciting and powerful capability that targets ANSYS Fluent and ANSYS Polyflow users – assembly meshing. Now it is easier than ever to mesh assemblies of medium complexity where the flow passage volume is not pre-defined or it is composed of sheet bodies, that overlap body’s small gaps. With assembly meshing one can obtain a conformal mesh between parts without having to define a multi-body part.  Continue reading