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Intelligent Light at VINAS UGM, October 9-11, Shinegawa, JAPAN

Learn how to take the lessons from working with experts in large scale CFD and apply them to your workflows for maximum productivity.  Presentations and workshops are detailed below.

More information at the VINAS Conference site.

 

Lectures Workshops
Engineered CFD Workflows for Effective HPC Performance FieldView 14 Workshop: Entry Session (New Features of FieldView14)
Analysis of Extreme Scale CFD Engineering Applications FieldView for HPC: VISUALIZATION AND POST-PROCESSING OF LARGE SCALE ENGINEERING APPLICATIONS
Introduction of FieldView V14 to realize the high-speed particle visualization and multi-window display

Engineered CFD Workflows for Effective HPC Performance

Steve M. Legensky, Founder and General Manager, Intelligent Light

As core counts increase, CFD users are expecting more throughput for simulations.  However, many companies experience bottlenecks due to legacy workflows from older computing and data flow styles.  We describe how new, engineered workflows produce higher throughput without increasing hardware costs.

 

Analysis of Extreme Scale CFD Engineering Applications

Dr. Earl P.N. Duque, Manager of Applied Research, Intelligent Light

Extremely large CFD simulations require parallel and batch post-processing capabilities such as those available in FieldView. Two recent projects, analysis of a high lift transport aircraft and a wind farm simulation with 10’s of billions of grid points will be presented.

FieldView Workshop – October 9, 2013

Entry SessionNew features of FieldView 14: Lecture and Hands-on
Yves-Marie Lefebvre, Sales & Support Engineer, Intelligent Light

Shinya Higaki, CFD Product Group, Engineering Department 1, VINAS Co., Ltd.

Introducing new features of FieldView14 and experience the new world of FieldView through this hands-on session.

  • Manage your data intuitively and productively with multi-window operation
  • Create high impact images & animations with improved vector options
  • Use ruled grids to provide dimensional reference & track flow features
  • Visualize transient spray combustion (millions of particles) up to 400X faster
  • and many others

Advanced Session -FieldView for HPC: VISUALIZATION AND POST-PROCESSING OF LARGE SCALE ENGINEERING APPLICATIONS

Dr. Earl P.N. Duque, Manager of Applied Research, Intelligent Light
Mr. Yves-Marie Lefebvre, Sales & Support Engineer, Intelligent Light
Shinya Higaki, CFD Product Group, Engineering Department 1, VINAS Co., Ltd.

Introducing the technology of CFD Advanced Workflow by FieldView. Dr. Earl P.N. Duque, Manager of Applied Research Group at Intelligent Light will present the state-of-art technology of CFD visualization. Also, we will present and demonstrate how to create and manage the workflow by FVX and batch automation and XDB for large scaled CFD data. The attendees can try the workflow and the advanced technology through this hands-on session.

 

 

Media

HiLift Prediction Workshop 2 Update

I’m really excited to present my HiLift Prediction Workshop 2 results here at the AIAA Fluids Conference.  Feels great to roll up sleeves again for this project. I’ll have a Case Study that highlights what I did to post-process all these cases and then a conference paper at the 2014 AIAA Fluids Conference.

Dr. Earl Duque

Media

VINAS Spring Seminar 2013

IntelligentVinas Light’s representatives in Japan will host IL staff as a part of their 2013 CFD Top Solutions CFD Seminar.  Intelligent Light will present the latest in High Performance CFD for this Japanese audience from across industry and academia.

 

Introducing FieldView 14 for High Performance CFD
Presenter: Yves-Marie Lefebvre, Sales and Support Engineer, Intelligent Light

 

Presentation abstract:
Over the last couple of years, FieldView has made a breakthrough in CFD
post-processing thanks to innovative Data Management methods and powerful
Automation tools. This spring, FieldView comes back with its biggest release
in years, packed with new capabilities, including the best multi-window
implementation in our industry.

 

This presentation will introduce these improvements through actual
industrial examples. Mr. Lefebvre has over 10 years of experience in
CFD post-processing and worked with several Formula 1 teams on the
deployment of FieldView Data Management and Automation solutions through
Intelligent Light’s High Performance Solutions Program.

Media

AIAA Joint Propulsion Conference

Intelligent Light will be in San Jose, CA for the AIAA Joint Propulsion conference.  Dr. Earl AIAA JPC 13Duque, IL’s manager of applied research is a co-author on a paper “Applications of Dynamic Mode Decomposition and Snapshot POD to Time-Accurate Turbomachinery CFD” which will be presented by Trevor Blanc of Brigham young University.

Applications of Dynamic Mode Decomposition and Snapshot POD to Time-Accurate Turbomachinery CFD

Trevor J. Blanc and Steven E. Gorrell and Matthew R. Jones

Brigham Young University, Provo, UT, USA

Earl P.N. Duque

Intelligent Light, Rutherford, NJ, USA

 

Post-processing of both experimental and Computational Fluid Dynamics (CFD) analyses has always been an integral element to understanding the results of a case study. However, with the increase in computing power and development of high frequency experimental measurements, the amount of data to process has grown signi cantly. Working with large data sets often poses a problem for users because there is so much information available that sifting through the data requires a lot of time, and any extensive inquiry into flow characteristics can be cumbersome. Thus, the goal of post-processing is to recover the most information using the least amount of time or eff ort.

 

Two data analysis techniques, Proper Orthogonal Decomposition (POD) and Dynamic Mode Decomposition (DMD), present themselves as viable techniques that work to fi lter through large data sets and gather the most relevant flow information. The POD often goes by a variety of names depending on the application, such as Principal Component Analysis, the Karhunen-Love Decomposition, and Singular Value Decomposition. Using the POD method of snapshots as presented by Sirovich,. one can isolate the main modes from which a flow is constructed. Within these modes contain statistical information that de fine the coherent flow structures that relate to the physical phenomena present. The DMD is a relatively new technique developed by Schmid that serves to isolate the dynamic modes present within a data set. It is a way to observe the modes characterizing the evolution of the flow through time as well as isolating the coherent structures present in the flow field.

 

These analysis techniques have been applied to PIV cases and both simple and turbulent CFD flows but have yet to be applied to large, unsteady, and time-accurate turbomachinery simulations. Therefore, it is advantageous to observe the relevance of the POD and DMD within the realm of these highly complex flows.

 

Media

High Lift Prediction Workshop (HiLiftPW-2)

FV14 multi-windows wing plot

HiLift Wing and plot
FieldView 14 allows multiple interactive views of datasets.

Intelligent Light has been performing a grid convergence study and a Reynolds number study using OVERFLOW2 and FieldView.  The results of this study will be presented at the 2nd AIAA CFD High-Lift Prediction Workshop Sponsored by the Applied Aerodynamics Technical Committee.

 

1. Case 1 – Grid Convergence Study

  • Code: OVERFLOW2 version 2.2e
  • Grid: Coarse, medium, fine, extrafine mesh density overset grids as supplied by HiLiftPW-2 committee
  • Turbulence model: k-w-SST or Spalart-Almaras as coded in OVERFLOW2 verison 2.2e

2. Case 2a, 2b, 2c – Reynolds Number Study

  • Code: OVERFLOW2 verison 2.2e
  • Grid: Medium mesh density overset grids as supplied by HiLiftPW-2 committee
  • Turbulence model: k-w-SST or Spalart-Almaras as coded in OVERFLOW2 verison 2.2e

The OVERFLOW2 code from NASA was applied to the configuration. The OVERFLOW2 code numerically solves the compressible form of the Reynolds-averaged Navier-Stokes equations using implicit finite differences and overset grids. It has steady state algorithms and unsteady algorithms that are 1st or 2nd order in time. OVERFLOW2 utilizes overset Cartesian grids and curvilinear grids that define the surface of the wing, flap, slat and fuselage. To simulate laminar flow and turbulent flow, it uses algebraic or
2-equation models and also has the capability to perform Detached Eddy Simulations.

HiLiftPW-2
June 22-23, 2013
Associated with the 31st AIAA Applied Aerodynamics Conference, San Diego, CA.