This Week in CFD

Welcome to this week’s roundup and recap of all the CFD news that’s fit to print that could be documented in the time available. Of particular note is a Digital Engineering article on V&V that’s worth your time to read. Also included here is a summary of CFD 2030 activities at next month’s AIAA Aviation that we hope you can attend. And we (and others) are hiring. Check out the postings and apply. Shown here is just a nice image of simulation results for the Aachen turbine from FINE/Turbo.

At next month’s AIAA Aviation Forum (2-6 Aug, online), the CFD 2030 Integration Committee has one technical panel and one technical paper, neither of which you’ll want to miss.

  • Technical Panel: The Impact of Physical Modeling on CFD Capabilities
    • This panel’s four experts (Florian Menter, Oriol Lehmkuhl, Venkat Raman, Meelan Choudhari) will discuss the critical physical modeling issues that need to be addressed and potential solutions to enable the virtual model-based engineering design paradigm.
  • Technical Paper: CFD Vision 2030 Road Map: Progress and Perspectives
    • The IC released a detailed technical review of the 2030 Vision’s roadmap in June of 2021 with findings intended to provide further guidance to the research community. This paper by Andrew Cary et al. describes the approach taken, summarizes the findings, and provides an update to the Vision 2030 Roadmap reflecting the present understanding.
SIMULIA CFD result. Image from See link to the left.

There is a lot to be absorbed in Digital Engineering’s article A Reality Check for Simulation in which verification and validation is addressed. One of the people cited in the article sums it up nicely: “I prefer simpler models to complex, expensive models, as long as you take the time to understand what your predictions mean, and the errors in them.” In other words, you can do good engineering with less accurate simulations as long as you understand thoroughly that inaccuracy via V&V. Elsewhere in the article, it is said that the unwillingness of companies to share information about validation is holding us all back. I’ll point out that AIAA’s extremely successful series of CFD workshops is a perfect example of a willingness to share the good and bad of simulation results. (At which a recent paper quantified that the blame for errors and inaccuracies can be equally assigned to the mesh, the solver, and the user.)

You know why I’m showing this: the grid pic on the left. This image illustrates the new temperature dependent thermoelastic model in Simcenter 3D 2021.2. Image from

New [to me] is SPHinXsys, an open-source, meshless [ouch], multi-physics and AI-aware library. Kudos for providing a pronunciation guide for the name but the finger-tangling mixed case spelling?

You’ve still got 5 days to submit an abstract for ESI’s 9th OpenFOAM Conference 2021 (to be held online this coming October). [When both an ordinal and a year are included in a event’s name I always wonder whether this is the 9th event held in 2021.]

Let’s talk jobs.

Our friends at Siemens offer 4 ways to CFD speed-up: don’t calculate hard – calculate smart.

Screen capture from a brief video sharing Honda’s experiences with Cadence CFD.

I’ve been collecting a lot of articles about the history of CFD companies and the latest is this profile of CFD Research’s CEO Ashok Singhal. When asked whether he expected the company to get as big as it is he confidently replied “Yes, and so much more.” [I wish I could’ve been that confident when Pointwise was founded.]

OpenCFD released OpenFOAM v2106.

And OpenQBMM 7.0.0 was released shortly thereafter.

CFD for reducing the fuel use of fishing vessels through the addition of a bulbous bow. [Bulbous Bow might be a good name for a rock band.]

Probably should’ve used this image on the Fourth of July. Screen capture from a video showing a simulation of the Orion Launch Abort Vehicle.

The agenda has been posted for CadenceCONNECT: Aerospace & Defense Systems Day on 28 July. Register today and see CFD and more on the 28th.

CFD for a rack and pinion actuator for a marine stabilizer.

I think this is about an AI technique called deep-learning being used to predict simulation results simply from a 3D mesh. The work involves integrating Neural Concept Shape into Paraview.

Here’s some color map advice for scientific visualization. [As you probably know by now, the rainbow color map is my enemy and I am so tired of sickly green CFD flowfield images.]

The next salome_cfd user meeting will be held on 15 September at EDF Saclay.

Catherine Lee, Clad Sentinel 4, 2008. Image from Read about Lee’s work here.

Just a reminder that the World Championship Air Race plans to return to flight in 2022. “Building on the legacy of the hugely popular Red Bull Air Race, World Championship Air Race hopes to bring back the fastest, three-dimensional motorsport on the planet but create a challenging environment where competitors embrace the latest technological developments in Green Power and Advanced Aerial Mobility to push the envelope of the global Aviation Revolution.”

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2 Responses to This Week in CFD

  1. Serkan Solmaz says:

    Speaking of color maps, there is a recently published Nature paper [1] which examines different color maps to come up with accessible variants. It almost points out similar maps mentioned in the blog post you shared above. CFD is certainly not only about producing accurate data but also (post-) processing decisive results (maybe accessible?) for human beings.

    [1] Crameri, F., Shephard, G.E. & Heron, P.J. The misuse of colour in science communication. Nat Commun 11, 5444 (2020).

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