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E-raamat: Flow Visualization: Techniques and Examples 2nd Revised edition [World Scientific e-raamat]

Edited by (Nus, S'pore), Edited by (Princeton Univ, Usa)
  • Formaat: 444 pages, Illustrations
  • Ilmumisaeg: 17-Sep-2012
  • Kirjastus: Imperial College Press
  • ISBN-13: 9781848167926
Teised raamatud teemal:
  • World Scientific e-raamat
  • Hind: 105,34 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
Flow Visualization: Techniques and Examples 2nd Revised editionSuurem pilt
  • Formaat: 444 pages, Illustrations
  • Ilmumisaeg: 17-Sep-2012
  • Kirjastus: Imperial College Press
  • ISBN-13: 9781848167926
Teised raamatud teemal:
World Scientific e-raamatudRohkem infot World Scientific e-raamatute kohta
Raamatu kodulehekülg: http://www.worldscientific.com/worldscibooks/10.1142/P808#t=toc
This is the 2nd edition of the book, Flow Visualization: Techniques and Examples, which was published by Imperial College Press in 2000. Many of the chapters have been revised and updated to take into consideration recent changes in a number of flow visualization and measurement techniques, including an updated high quality flow gallery. Unique among similar publications, this book focuses on the practical rather than theoretical aspects. Obtaining high quality flow visualization results is, in many ways, more of an art than a science, and experience plays a key deciding role. The depth and breadth of the material will make this book invaluable to readers of all levels of experience in the field.
Preface To The First Edition xiii
Preface To The Second Edition xiv
1 Interpretation Of Flow Visualization
1(26)
1.1 Introduction
1(1)
1.2 Critical Points in Flow Patterns
1(8)
1.3 Relationship between Streamlines, Pathlines, and Streaklines
9(6)
1.4 Sectional Streamlines
15(1)
1.5 Bifurcation Lines
16(2)
1.6 Interpretation of Unsteady Flow Patterns with the Aid of Streaklines and Streamlines
18(5)
1.7 Concluding Remarks
23(1)
1.8 References
24(3)
2 Hydrogen Bubble Visualization
27(20)
2.1 Introduction
27(2)
2.2 The Hydrogen Bubble Generation System
29(4)
2.2.1 Safety
32(1)
2.3 Bubble Probes
33(4)
2.4 Lighting
37(1)
2.5 Unique Applications
38(6)
2.6 References
44(3)
3 Dye And Smoke Visualization
47(32)
3.1 Introduction
47(1)
3.2 Flow Visualization in Water
48(9)
3.2.1 Conventional dye
48(1)
3.2.2 Laundry brightener
49(1)
3.2.3 Milk
49(1)
3.2.4 Fluorescent dye
49(1)
3.2.5 Methods of dye injection
50(2)
3.2.6 Rheoscopic fluid
52(1)
3.2.7 Electrolytic precipitation
53(4)
3.3 Flow Visualization in Air
57(6)
3.3.1 Smoke tunnel
57(1)
3.3.2 Smoke generator
57(2)
3.3.3 Smoke-wire technique
59(3)
3.3.4 Titanium tetrachloride
62(1)
3.4 Photographic Equipment and Techniques
63(10)
3.4.1 Lighting
63(3)
3.4.2 Camera
66(4)
3.4.3 Lens
70(2)
3.4.4 Film
72(1)
3.5 Cautionary Notes
73(3)
3.6 References
76(3)
4 Molecular Tagging Velocimetry And Thermometry
79(28)
4.1 Introduction
79(1)
4.2 Properties of Photo-Sensitive Tracers
80(6)
4.2.1 Photochromic dyes
80(1)
4.2.2 Phosphorescent supramolecules
80(3)
4.2.3 Caged dyes
83(3)
4.3 Examples of Molecular Tagging Measurements
86(7)
4.3.1 Phosphorescent supramolecules
87(2)
4.3.2 Caged dye tracers
89(4)
4.4 Image Processing and Experimental Accuracy
93(10)
4.4.1 Line processing techniques
93(3)
4.4.2 Grid processing techniques
96(1)
4.4.3 Ray tracing
97(1)
4.4.4 Molecular tagging thermometry
98(5)
4.5 References
103(4)
5 Planar Imaging Of Gas Phase Flows
107(36)
5.1 Introduction
107(2)
5.2 Planar Laser-Induced Fluorescence
109(11)
5.2.1 Velocity tracking by laser-induced fluorescence
116(4)
5.3 Rayleigh Imaging from Molecules and Particles
120(4)
5.4 Filtered Rayleigh Scattering
124(8)
5.5 Planar Doppler Velocimetry
132(5)
5.6 Summary
137(1)
5.7 References
137(6)
6 Digital Particle Image Velocimetry
143(24)
6.1 Quantitative Flow Visualization
143(1)
6.2 DPIV Experimental Setup
144(1)
6.3 Particle Image Velocimetry: A Visual Presentation
145(1)
6.4 Image Correlation
146(4)
6.4.1 Peak finding
149(1)
6.4.2 Computational implementation in frequency space
150(1)
6.5 Video Imaging
150(2)
6.6 Post Processing
152(3)
6.6.1 Outlier removal
152(1)
6.6.2 Differentiable flow properties
153(2)
6.6.3 Integrable flow properties
155(1)
6.7 Sources of Error
155(6)
6.7.1 Uncertainty due to particle image density
156(1)
6.7.2 Uncertainty due to velocity gradients within the interrogation windows
156(1)
6.7.3 Uncertainty due to different particle size imaging
157(1)
6.7.4 Effects of using different sizes of interrogation windows
157(1)
6.7.5 Mean-bias error removal
158(3)
6.8 DPIV Applications
161(2)
6.8.1 Investigation of vortex ring formation
161(1)
6.8.2 A novel application for force prediction DPIV
161(1)
6.8.3 DPIV and a CFD counterpart: Common ground
161(2)
6.9 Conclusion
163(2)
6.10 References
165(2)
7 Surface Temperature Sensing With Thermochromic Liquid Crystals
167(24)
7.1 Introduction
167(6)
7.1.1 Properties of liquid crystals
168(2)
7.1.2 Temperature calibration techniques
170(1)
7.1.3 Convective heat transfer coefficient measurement techniques
170(3)
7.2 Implementation
173(9)
7.2.1 Sensing sheet preparation
175(1)
7.2.2 Test surface illumination
176(2)
7.2.3 Image capture and reduction
178(1)
7.2.4 Calibration and measurement uncertainty
179(3)
7.3 Examples
182(4)
7.3.1 Turbine cascade
182(1)
7.3.2 Turbulent spot and boundary layer
183(1)
7.3.3 Turbulent juncture flow
184(1)
7.3.4 Particle image thermography
185(1)
7.4 References
186(5)
8 Pressure And Shear Sensitive Coatings
191(36)
8.1 Introduction
191(1)
8.2 Pressure-Sensitive Paint
192(10)
8.2.1 Obtaining and applying pressure-sensitive paint
195(2)
8.2.2 Lamps
197(1)
8.2.3 Cameras
198(2)
8.2.4 Data reduction
200(2)
8.3 Shear-Sensitive Liquid Crystal Coating Method
202(12)
8.3.1 Color-change responses to shear
203(2)
8.3.2 Coating application
205(1)
8.3.3 Lighting and imaging
206(1)
8.3.4 Data acquisition and analysis
207(2)
8.3.5 Example: Visualization of transition and separation
209(3)
8.3.6 Example: Application of shear vector method
212(2)
8.4 Fringe Imaging Skin Friction Interferometry
214(10)
8.4.1 Physical principles
214(1)
8.4.2 Surface preparation
215(1)
8.4.3 Lighting
216(2)
8.4.4 Imaging
218(1)
8.4.5 Calibration
219(1)
8.4.6 Data reduction
219(2)
8.4.7 Uncertainty
221(1)
8.4.8 Examples
222(2)
8.5 References
224(3)
9 Methods For Compressible Flows
227(40)
9.1 Introduction
227(1)
9.2 Basic Optical Concepts
228(3)
9.3 Index of Refraction for a Gas
231(2)
9.4 Light Ray Deflection and Retardation in a Refractive Field
233(2)
9.5 Shadowgraph
235(6)
9.6 Schlieren Method
241(3)
9.7 Interferometry
244(1)
9.8 Interference
245(3)
9.9 Mach-Zehnder Interferometer
248(4)
9.10 Holography
252(2)
9.11 Holographic Interferometry
254(4)
9.12 Applications
258(4)
9.13 Summary
262(2)
9.14 References
264(3)
10 Three-Dimensional Imaging
267(44)
10.1 Introduction
267(1)
10.2 Three-Dimensional Imaging Techniques
267(4)
10.3 Image Data Types
271(1)
10.4 Laser Scanner Designs
272(1)
10.5 Discrete Laser Sheet Systems
273(1)
10.6 Double Scan Laser Sweep Systems
274(4)
10.7 Single Scan Laser Sweep Systems (Discrete)
278(2)
10.8 Drum Scanners
280(2)
10.9 Multiple Fixed Laser Sheets
282(2)
10.10 Moving Laser Sheet Systems
284(1)
10.11 Imaging Issues and Trade-Offs
285(10)
10.11.1 Position accuracy of laser sheets
285(1)
10.11.2 Illumination issues
286(1)
10.11.3 Sweeps versus sheets for CW lasers
287(1)
10.11.4 Optical components
288(1)
10.11.5 Methods of control
289(1)
10.11.6 Operational considerations
290(4)
10.11.7 Imaging devices
294(1)
10.12 Detailed Example
295(5)
10.12.1 Control system design
298(2)
10.13 Analysis and Display of Data
300(5)
10.13.1 Processing and analysis of data
300(2)
10.13.2 Methods of presentation and display
302(3)
10.14 Concluding remarks
305(1)
10.15 References
305(6)
11 Quantitative Flow Visualization Via Fully Resolved Four-Dimensional Imaging
311(28)
11.1 Introduction
311(2)
11.2 Technical Considerations
313(17)
11.2.1 Laser induced fluorescence
313(1)
11.2.2 Beam scanning electronics
313(3)
11.2.3 Data acquisition system
316(1)
11.2.4 Signal levels
317(5)
11.2.5 Signal-to-noise ratio
322(2)
11.2.6 Spatial and temporal resolution
324(4)
11.2.7 Data processing
328(2)
11.3 Sample Applications
330(5)
11.3.1 Fine structure of turbulent scalar fields
330(2)
11.3.2 Assessment of Taylor's hypothesis
332(1)
11.3.3 Scalar imaging velocimetry
333(1)
11.3.4 Fractal scaling of turbulent scalar fields
333(2)
11.4 Further Information
335(2)
11.5 References
337(2)
12 Visualization, Feature Extraction, And Quantification Of Numerical Visualizations Of High-Gradient Compressible Flows
339(28)
12.1 Introduction
339(4)
12.1.1 Fundamental configuration
340(3)
12.2 Visualization Techniques
343(7)
12.2.1 Numerical analog of experimental techniques
343(3)
12.2.2 Smoothing and noise suppression
346(2)
12.2.3 Selection of variables for visualization
348(2)
12.3 Quantification of Shocks and Contacts
350(11)
12.3.1 One-dimensional example
350(1)
12.3.2 Algorithm
350(5)
12.3.3 Two-dimensional example
355(2)
12.3.4 Contact tracking and convergence of simulations
357(3)
12.3.5 Quantification of local shock properties
360(1)
12.4 Conclusion
361(1)
12.5 Appendix A: Pseudo-code to Extract the Discontinuity Curves
362(3)
12.6 References
365(2)
Color Plates And Flow Gallery 367(56)
Index 423
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