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Concept to Reality Magazine Explores CFD Workflow Automation

CFD Advances Racing Bike Performance (FieldView & AcuSolve)
Intelligent Light’s multi-year collaboration with Acusim and Altair resulted in important new developments in CFD workflow design and automation.  The productivity gains allowed the study’s subject matter, aerodynamic bicycle racing wheel design to be better understood than had been previously possible given the state of the art in wind tunnel testing and the limited CFD that had been applied to the problem.Concept to Reality (C2R) Magazine covers the story in the article: CFD Advances Racing Bike Performance.

 

Using high-fidelity modeling and truly inovative post-processing, study authors Matthew N. Godo, Ph. D.(Intelligent Light) and David Corson, Ph. D. (Altair) explored 3.6GB of steady state and 1.2TB of unsteady data from tens of thousands of calculations in days using a well engineered automated CFD workflow.

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Dell features Intelligent Light as Cloud Success story

Dell produced a case study about Intelligent Light’s use of HPC Cloud computing resources from Dell and R Systems.

With computational fluid dynamics (CFD) data sets growing larger all the time, Intelligent Light needed a way to process data faster without investing in and maintaining its own in-house high-performance computing (HPC) resources.

  • 20-fold faster completion of research with HPC on-demand (vs. HPC workstation)
  • Able to empower new customers by providing fast access to HPC resources
  • Improved CFD data management and workflow

Download the case study

Media

CD-adapco DYNAMICS Magazine feature: “Increasing Workflow Productivity with STAR-CCM+ and Fieldview”

Dr. Matthew N. Godo, FieldView product manager wrote about his workflow productivity case study in DYNAMICS Magazine. The study is based on the extensive work on bicycle wheel aerodynamics that Dr. Godo and Intelligent Light have pursued since 2009.

Providing immediate access to flexible computing capacity, the arrangement gives FieldView users the ability to scale up using parallel processing or scale out with concurrent batch processing to meet capacity needs during peak loads, special projects, or tight deadlines. FieldView’s client-server architecture enables data to remain on the cloud while interactive work is performed from the user’s desktop. In addition, any CFD users who compute on the R Systems cloud can access FieldView for post-processing.