Status Report on the Development of JAXA Digital/Analog Hybrid Wind Tunnel

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JAXA 䝕䝆䝍䝹 / 䜰䝘䝻䜾䞉䝝䜲䝤䝸䝑䝗㢼Ὕ䛾㛤Ⓨ≧ἣ䛻䛴䛔䛶 Status Report on the Development of

Status Report on the Development of JAXA Digital/Analog Hybrid Wind Tunnel

ཱྀ▼ ⱱ , , Ώ㎶㔜ဢ 䠄 JAXA ◊✲㛤Ⓨᮏ㒊䠅 Shigeru KUCHI-ISHI and Shigeya WATANBE Aerospace Research and Development Directorate

Japan Aerospace Exploration Agency (JAXA) Japan Aerospace Exploration Agency (JAXA)

➨3ᅇEFD/CFD⼥ྜ䝽䞊䜽䝅䝵䝑䝥

The 3rd Workshop on Integration of EFD and CFD Jan. 25, 2010

AKIHABARA Convention Hall Tokyo Japan AKIHABARA Convention Hall, Tokyo Japan

Motivation (1/2)

Enhance efficiency and user-friendliness: WT

• Model design and test planning Model design and test planning

• Data check/analysis during run time

• Data check from remote location

• Speed-up of data acquisition/reduction process

R eal-time data processing for balance/pressure port data

PIV d t i i ithi 10 i t ft i iti

PIV data image processing within 10 minutes after acquisition

Enhance efficiency and user-friendliness: CFD

• High-speed and simple grid generation

Within 1 hour for 1,000,000 grid points (unstructured grid) High speed and simple CFD analysis

• High-speed and simple CFD analysis

Within 1 hour for 1,000,000 grid points (unstructured grid) Two major methods for aerodynamic

characteristics prediction

2

From “EFD and CFD” to Integrated EFD/CFD

Integration of EFD/CFD 䠖䠄or fusion, synergy䠅

䞉More than simple collaboration 䞉 Aiming a new world where 1 + 1 > 2

EFD:

Experimental Fluid Dynamics (Wind tunnel test)

Pressure measurement by PSP JAXA 2mx2m

Transonic WT

Analog, Real Analog, Real

Digital, Virtual Digital, Virtual

Nakahashi (2004)

CFD:

Computational Fluid Dynamics

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Motivation (2/2)

Improve WT/CFD data accuracy/reliability

• WT wall/support interference correction pp

• Detailed CFD analysis

Model deformation effects

T b l d l h i

Turbulence model choice

• High-fidelity model design and test planning Model deformation effects

• WT/CFD data uncertainty estimation

• Maximum-likelihood estimation of WT/CFD data

• Flight prediction

Unified platform for WT/CFD data management Unified platform for WT/CFD data management

• Common data format/data base

4

5

Expanding the technology integrating experiment and numerical simulation to other fields

Concept

EFD (Analog WT)

Automatic/adaptive grid generation Automatic/adaptive

grid generation Fast CFD solver Fast CFD solver

Wind Tunnel

Test Wind Tunnel

High-Speed Reduction

Test

of WT Data High-Speed Reduction

of WT Data

Database of both EFD and CFD Database of both EFD and CFD Virtual participation in

WTT via internet Virtual participation in

WTT via internet

Optimization of test planning, technique, and model Optimization of test planning,

technique, and model

WT wall&sting correction WT wall&sting correction

CFD Parameter Tuning (Turb. model, grid, etc.) CFD Parameter Tuning

(Turb. model, grid, etc.)

•Quasi-real-time WT/CFD comparison

•Validation data

CFD considering both test model and wind tunnel

(wall, model support) CFD considering both test

model and wind tunnel (wall, model support)

CFD (Digital WT)

Data fusion considering advantages and reliability of

EFD and CFD

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6

Wind Tunnel/Computer

JAXA 2m

㽢

2m Transonic Wind Tunnel (JTWT)

JAXA Super Computer System (JSS)

9 Built 1960 (1994 refinement) 9 Continuous, circulation type 9 M = 0.1 – 1.4

9 Built 2009

9 3008CPU, 120Tflops, 94TB Memory (M-System)

Ṳᵠᵿᶁᶉᶓᶎᴾᵱᶃᶐᶔᶃᶐ Ṳᵴᶇᶑᶓᵿᶊᶇᶘᵿᶒᶇᶍᶌᴾᵱᶃᶐᶔᶃᶐ

Ṳᵱᵟᵬ ᵱᶃᶐᶔᶃᶐ

Ṳᵡᵟᵢᴾᵱᶃᶐᶔᶃᶐ Ṳᵵᵲᴾᵱᶃᶐᶔᶃᶐ

Ṳᵵᶃᶀ ᵱᶃᶐᶔᶃᶐ

ᵭᵱᾉ ᵰᶃᶂᴾᵦᵿᶒᴾᵣᶌᶒᶃᶐᶎᶐᶇᶑᶃᴾᵪᶇᶌᶓᶖ ᵡᵮᵳᾉ ᵏᵡᵮᵳᴾᵆᵐᵌᵗᵑᵥᵦΈᵍᵒᵡᶍᶐᶃ ᶖᴾᵏᵇ ᵫᶃᶋᶍᶐᶗᾉ ᵒᵥᵠ

ᵦᵢᵢᾉ ᵑᵎᵎᵥᵠᴾᶖᴾᵐᴾᵆᵰᵟᵧᵢᵏᵇ

ᵭᵱᾉ ᵰᶃᶂᴾᵦᵿᶒᴾᵣᶌᶒᶃᶐᶎᶐᶇᶑᶃᴾᵪᶇᶌᶓᶖ ᵡᵮᵳᾉ ᵐᵡᵮᵳᴾᵆᵐᵌᵗᵑᵥᵦΈᵍᵒᵡᶍᶐᶃ ᶖᴾᵐᵇ ᵫᶃᶋᶍᶐᶗᾉ ᵖᵥᵠ

ᵦᵢᵢᾉ ᵒᵓᵎᵥᵠᴾᶖᴾᵐᴾᵆᵰᵟᵧᵢᵏᵇ Ṳᵡᶍᶌᶒᶐᶍᶊᴾᵱᶃᶐᶔᶃᶐ Ṳᵰᶍᶓᶒᶃᶐ

ᵦᵢᵢᾉ ᵱᵟᵱ ᵠᵿᶁᶉᶓᶎᴾᵦᵢᵢᾉ ᵱᵟᵲᵟ ᵭᵱᵘᴾᴾᴾᴾᴾᵰᶃᶂᴾᵦᵿᶒᴾᵣᶌᶒᶃᶐᶎᶐᶇᶑᶃᴾᵪᶇᶌᶓᶖ

ᵡᵮᵳᵘᴾᴾᴾᵐᵡᵮᵳᴾᵆᵐᵌᵗᵑᵥᵦΈᵍᵒᵡᶍᶐᶃ ᶖᴾᵐᵇ ᵫᶃᶋᶍᶐᶗᵘᴾᵏᵔᵥᵠ

ᵦᵢᵢᵘᴾᴾᴾᵒᵓᵎᵥᵠᴾᶖᴾᵐᴾᵆᵰᵟᵧᵢᵏᵇ

ᵏᵥᴾᵠᵟᵱᵣᴾᵣᶒᶆᶃᶐᶌᶃᶒ

System Architecture

ᵵᶃᶀ

ᵳᶑᶃᶐ

ᵨᵱᵱ

ᵭᵱᾉ ᵱᵳᵱᵣᵋᵠᵿᶑᶃ

ᵡᵮᵳᾉ ᵐᵡᵮᵳᴾᵆᵏᵌᵖᵔᵥᵦΈᵍᵒᵡᶍᶐᶃ ᶖᴾᵐᵇ ᵫᶃᶋᶍᶐᶗᾉ ᵐᵒᵥᵠ

ᵦᵢᵢᾉ ᵏᵒᵔᵥᵠᴾᶖᴾᵐᴾᵆᵰᵟᵧᵢᵏᵇ ᵤᵡ

ᵨᵲᵵᵲ

7

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8

Functional Componetns (1/4)

WT Pre-Setting Simulation

Check model support system size and/or PIV/PSP camera-system setting location

䊻

shorten WT preparation time

Pre-CFD

High-Speed CFD analysis for 1/5 of all WT test conditions Model deformation

CFD including WT wall/support system

䊻

help model design and test planning

㻹㼛㼐㼑㼘㻌㻸㼛㼏㼍㼠㼕㼛㼚㻌㻯㼔㼑㼏㼗㻌㼒㼞㼛㼙㻌㼃㼕㼚㼐㼛㼣㼟

㻹㼛㼐㼑㼘㻌㻿㼡㼜㼜㼛㼞㼠㻌㻿㼥㼟㼠㼑㼙㻌㻯㼔㼑㼏㼗

Functional Componetns (2/4)

Model Deformation Analysis

Pre-Estimate by fluid/structure coupling analysis

Model Pressure Port Location/Test Planning Support Optimize by pre-CFD

Reaction Surface for Pressure/Aerodynamic Coefficient

㻯_㻼

Optimization Model Design Test Planning Pre-CFD

㏻㢼୰

↓㢼᫬

㏻㢼୰

↓㢼᫬

Wind-on

Wind-off

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Functional Componetns (4/4)

Real Time WT Test Monitoring

Monitoring WT data form remote locations via Internet WT-Aided CFD

Model optimization by WT data (turbulence model, grid locations)

Enhance WT data accuracy by optimized CFD (wall/support interference) Enhance WT data accuracy by optimized CFD (wall/support interference) WT/CFD Data Uncertainty Anasysis

Estimate error bar of WT data by traditional WT uncertainty analysis Estimate error bar of WT data by traditional WT uncertainty analysis Estimate error bar of CFD data by newly developed approach Maximum-Likelihood Estimation

Maximum Likelihood Estimation

Estimate maximum-likelihood force/pressure data by integrating WT and CFD

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Functional Componetns (3/4)

WT Wall/Support Interference Correction

Estimate wall/support effects on aerodynamic coefficients by pre-CFD Unified WT/CFD Data Visualization/Analysis

Real-time visualization during WT blow time Auto-Check WT data using pre-CFD data

䞉Solid/Perforated Wall 䞉Model Sting/Strut

㼃㼀㼃㼀㻼㼞㼑㻙㻯㻲㻰㻼㼞㼑㻙㻯㻲㻰

Check

OK

^NG

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12

Development of Digital Wind Tunnel (1/2)

Automatic grid generator: HexaGrid

9Automatic grid generator based on hexahedral grid 9Unstructured mesh based on Cartesian mesh

New fast CFD solver: FaSTAR (FaST Aerodynamic Routines) 9Target: 300 cases/20days

(300 cases = 1/5 of a WT test campaign)

䊻

1hour/case (100CPU, 10,000,000 grid points)

Development of Digital Wind Tunnel (2/2)

Transonic Wind Tunnel Simulation

Challenges: treatment of complex geometry (e.g. control surface) Challenges: treatment of complex geometry (e.g. control surface)

Test section

Porous wall Intake model

sting

strut

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Objective: to improve data productivity of Analog WT by accelerating data reduction for PIV and PSP images.

High-speed data reduction of imaging techniques

Ex)

Acceleration of PIV data reduction

Cell/B.E. (High performance CPU developed by IBM / Toshiba / Sony) is the most promising candidate.

Accelerationsystem(PC cluster) Camera

PresentPIVsystem

Several hours for data reduction

CommercialPIVdataprocessingsoftware

Issues

Imageacquisition computer

Acceleration of PIV processing

Celll/B.E.

Accelerator

Several minutes for data reduction Goal

7.88s / frame

by x8 CPUs(Pentium D 2.8GHz)

0.32s / frame by x2 Cell/B.E.

Accelerators

x 25 faster

at StereoPIV case

(2k x 2k CCD, 2 cameras)

PIV processing PC

•XML-Based Data Base (DB)

-> Flexible for the change of data structure/relation

•Data/Flow Control (Command/DB/Input/Output) by workflow template

•Coding/DB design-free

Editwindowoftemplate

Listoftemplates

GUIwindowoftemplate WorkflowTemplate

XMLWorkflow

Web-System Development Using RCM System Software

RCM^®: R&D Chain Management Quatre-i Science Co., Ltd.

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Unified WT/CFD Data Management

¾ HDF5 type common data format

䊻

Easy to handle WT/CFD data in the same manner

¾ WT/CFD common data base

䊻

Easy to find a set of WT/CFD data at the same condition

㻿㼑㼍㼞㼏㼔㻌㼃㼀㻌㼠㼑㼟㼠㻌㼕㼚㼒㼛㼞㼙㼍㼠㼕㼛㼚

㻿㼑㼘㼑㼏㼠㻌㼣㼛㼞㼗㼒㼘㼛㼣

㻹㼛㼚㼕㼠㼛㼞㻌㼃㼀㻌㼐㼍㼠㼍㻌㼟㼑㼞㼢㼑㼞㻌㼍㼚㼐㻌㼍㼡㼠㼛㼙㼍㼠㼕㼏㼍㼘㼘㼥㻌㼒㼛㼞㼣㼍㼞㼐㻌㼚㼑㼣㻌㼐㼍㼠㼍㻌㼕㼚㼠㼛㻌㼠㼔㼑㻌㼟㼥㼟㼠㼑㼙

㻯㼛㼚㼢㼑㼞㼠㻌㼃㼀㻌㼐㼍㼠㼍㻌㼠㼛㻌㼏㼛㼙㼙㼛㼚㻌㼒㼛㼞㼙㼍㼠㻌㼍㼚㼐㻌㼑㼚㼠㼞㼥㻌㼠㼛㻌㻰㻮㼃㼛㼞㼗㼒㼘㼛㼣

Unified Data Visualization/Analysis

¾ Simple and rapid WT/CFD data visualization by accessing WT/CFD common data base

¾ Support FieldView and Tecplot

㻯㻲㻰㻌㻰㼍㼠㼍㻾㼑㼍㼘㼕㼦㼑㻌㼡㼚㼕㼒㼕㼑㼐㻌㼢㼕㼟㼡㼍㼘㼕㼦㼍㼠㼕㼛㼚㻌㼎㼥㻌

㼟㼜㼑㼏㼕㼒㼥㼕㼚㼓㻌㼃㼀㻛㻯㻲㻰㻌㼐㼍㼠㼍㻌㼕㼚㻌㻰㻮

㼂㼕㼟㼡㼍㼘㼕㼦㼍㼠㼕㼛㼚㻌㼕㼙㼍㼓㼑㻌㼟㼠㼛㼞㼑㼐㻌㼕㼚㻌㻰㻮㼁㼚㼕㼒㼕㼑㼐㻌㼂㼕㼟㼡㼍㼘㼕㼦㼍㼠㼕㼛㼚

㼃㼀

䠄㻼㻿㻼䠅㻯㻲㻰

㻼㻿㻼㻦㻌㻼㼞㼑㼟㼟㼡㼞㼑㻌㻿㼑㼚㼟㼕㼠㼕㼢㼑㻌㻼㼍㼕㼚㼠

㻯㻸

㻼㼞㼑㼟㼟㼡㼞㼑㻌㼐㼕㼟㼠㼞㼕㼎㼡㼠㼕㼛㼚㻌

㼃㼀㻌㻰㼍㼠㼍

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18

WT Setting Simulation

㼂㼕㼟㼡㼍㼘㼕㼦㼑㻌㼢㼕㼑㼣㻙㼍㼞㼑㼍㻌㼛㼒㻌㼙㼡㼘㼠㼕㻙㼏㼍㼙㼑㼞㼍㻌㼟㼥㼟㼠㼑㼙㻧㻌㼜㼞㼑㻙㼏㼔㼑㼏㼗㻌㼏㼍㼙㼑㼞㼍㻛㼃㼀㻌㼕㼚㼠㼑㼞㼒㼑㼞㼑㼚㼏㼑

¾ Handle model/WT CAD data by high-end CAD software (CATIA V. 5) via Excel

䊻

Possible to use without the knowledge of CATIA manipulation

¾ Pre-Check model/WT interference

䊻

Possible to check safety before WT tests

¾ Pre-Check of optical system setting (camera, laser, etc.) for PIV/PSP measurements

䊻

Possible to shorten WT

preparation works

㻿㼜㼑㼏㼕㼒㼥㻌㼏㼍㼙㼑㼞㼍㻌㼘㼛㼏㼍㼠㼕㼛㼚㻛㼍㼚㼓㼘㼑

㻼㼞㼑㻙㼏㼔㼑㼏㼗㻌㼙㼛㼐㼑㼘㻛㼃㼀㻌㼕㼚㼠㼑㼞㼒㼑㼞㼑㼚㼏㼑㻌㼎㼥㻌㼏㼔㼍㼚㼓㼕㼚㼓㻌㼍㼚㼓㼘㼑㻌㼛㼒㻌㼍㼠㼠㼍㼏㼗

㻾㼑㼏㼛㼞㼐㻌㼏㼍㼙㼑㼞㼍㻌㼟㼑㼠㼠㼕㼚㼓㻌㼜㼍㼞㼍㼙㼑㼠㼑㼞㻌㻔㼘㼛㼏㼍㼠㼕㼛㼚㻘㻌㼍㼚㼓㼘㼑㻘㻌㼑㼠㼏㻚㻕

JAXA 2m 㽢 2m Transonic WT Test

9 Two support types

䊻

evaluate support interference

9 Porous wall pressure measurement

䊻

Used for CFD wall interference correction DLR-F6 Model (90% scale)

Direct-Sting Support Blade-Support

9 Pressure measurements at downstream of WT 䊻 Used for CFD boundary conditions

Data are to be used for the HWT system validation

2009/12/22 – 2010/1/15

17 run, 3777 points

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Summary

JAXA has started the development of “Digital/Analog Hybrid Wind

T l” t t li i EFD/CFD i t ti Th i iti l

Tunnel” as a prototype realizing EFD/CFD integration. The initial system will be completed in 2011.

Main technical development items

䠖

Main technical development items

䠖

9WT/CFD data integration systems (unified WT/CFD data management/Visualization, WT test pre-setting simulation). g p g ) 9Automatic grid generation and high-speed solver for Digital WT.

9Acceleration of image data reduction for aerodynamic g y measurement such as PIV.

Future components to be developed include WT wall/support interference correction, WT-aided CFD, maximum-likelihood estimation, etc.

㻿㼏㼔㼑㼐㼡㼘㼑

20

㻲㼅㻞㻜㻜㻤㻲㼅㻞㻜㻜㻥㻲㼅㻞㻜㻝㻜㻲㼅㻞㻜㻝㻝㻲㼅㻞㻜㻝㻞㻼㼞㼑㻙㻰㼑㼟㼕㼓㼚

㻰㼑㼟㼕㼓㼚㻰㼑㼢㼑㼘㼛㼜㼙㼑㼚㼠

㼂㼍㼘㼕㼐㼍㼠㼕㼛㼚㻱㼢㼍㼘㼡㼍㼠㼕㼛㼚㻭㼐㼢㼍㼚㼏㼕㼚㼓

Initial System Complete

Advanced System Complete

Wall/Support interference correction Real time WT test monitoring Pressure port/test planning Support

Model deformation analysis WT-aided CFD

WT/CFD uncertainty analysis Maximum-likelihood estimation

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Acknowledgements

JAXA EFD Group:

Y Ijima H Kato S Koike T Hirotani and M Kohzai

JAXA CFD Group:

Y. Ijima, H. Kato, S. Koike, T. Hirotani, and M. Kohzai

T. Aoyama, K. Murakami, A. Hashimoto, N. Fujita, and Y. Matsuo Ryoyu Systems Co., Ltd.

QUATRE-i Science Co., Ltd. ,

22

Status Report on the Development of JAXA Digital/Analog Hybrid Wind Tunnel

JAXA 䝕䝆䝍䝹 / 䜰䝘䝻䜾䞉䝝䜲䝤䝸䝑䝗㢼Ὕ䛾㛤Ⓨ≧ἣ䛻䛴䛔䛶 Status Report on the Development of