Comparative Measurement in Speckle Interferometry using Fourier Transform

Similar documents
Density Field Measurement by Digital Laser Speckle Photography

Displacement and Strain Measurement Using Gratings

Strain Analysis by Digital Shearography on an Aluminium Plate with a Geometric Defect under Thermal Loading

Laser Speckle and Applications in Optics

HEATED PLATE TEMPERATURE MEASUREMENT USING ELECTRONIC SPECKLE PATTERN INTERFEROMERY

Bureau International des Poids et Mesures. Rapport BIPM -89/1

Spatial phase-shifting moiré tomography

ELECIRONIC SPECKLE PATTERN INTERFEROMETRY IN CHARACTERIZING

Multiplicative phase-shifting interferometry using optical flow

Hybrid, optical-computational, methodology for studies and optimization of microelectronic components

Speckle phenomenon and its potential for metrology

Modeling of the fringe shift in multiple beam interference for glass fibers

Parallel fractional correlation: implementation

Experiment O-2. The Michelson Interferometer

Advanced holographic nondestructive testing system for residual stress analysis

Recent progress in SR interferometer

A Portable Optical DSPI System for Residual Stresses Measurement by Hole Drilling Using the Integral Method in Terms of Displacement

Developments in Visual and Other NDE Methods II

Jones Matrix Imaging for Transparent and Anisotropic Sample

Thermal Imaging at Multiple Time Instants for Study of Self-Heating and ESD Phenomena

Characterization of MEMS Devices

Phase-Shifting Interferometry and Combined Methods

Simple quasi-common path point diffraction interferometer with adjustable fringe contrast and carrier frequency

ckpfer 2 SPECKLE PATTERN INTERFEROMETRY

iprom Optical Interferometry Prof. Dr. -Ing. Rainer Tutsch Institut für Produktionsmesstechnik IPROM Technische Universität Braunschweig

LASER TRAPPING MICRO-PROBE FOR NANO-CMM

New concept of a 3D-probing system for micro-components

Low Coherence Vibration Insensitive Fizeau Interferometer

Temporal-multiplexing interferometry applied to co-phased profilometry

Optical Transfer Function

Renewal of the gage-block interferometer at INRIM

Mechanical characterization of single crystal BaTiO 3 film and insitu. XRD observation of microstructure change due to

EUV Reflectivity measurements on Acktar Sample Magic Black

One Type of Bio-Phase Microscopy Imaging Method Based on a Con Beam with Double Dove Prisms Jingrong Liao1, a, Jingye Liu2, b and Yuanyuan Xu2, c*

INTERFEROMETRIC METHOD FOR THE STUDY OF SPATIAL PHASE MODULATION INDUCED BY LIGHT IN DYE-DOPED DNA COMPLEXES

Speckle phenomenon and its potential for metrology

PHASE AMBIGUITY REDUCTION IN LASER INTERACTED INTERFEROGRAMS. Asiah Yahaya and Yusof Munajat

Holography and Optical Vortices

Alternative speckle photography techniques for plastic deformation investigation

Phase-Shift Estimation from Interferograms by Histogram of Phase Difference

Probing the orbital angular momentum of light with a multipoint interferometer

Flame Spread and Extinction over Thermally Thick PMMA in Low Oxygen Concentration Flow

OPTI510R: Photonics. Khanh Kieu College of Optical Sciences, University of Arizona Meinel building R.626

10. OPTICAL COHERENCE TOMOGRAPHY

Lecture 7 Continued Instructor: N R Sivakumar

Metrology and Sensing

Zero reference signal for displacement measuring systems by use of speckle

HYDROBETA: A NEW INSTRUMENT FOR MEASURING IN-SITU PROFILES OF THE VOLUME SCATTERING FUNCTION FROM 10 TO 170 DEGREES

Exploring different speckle reduction techniques for double pass ocular imaging. Donatus Halpaap Advisers: Meritxell Vilaseca, Cristina Masoller

5. LIGHT MICROSCOPY Abbe s theory of imaging

SPECKLE INTERFEROMETRY AS A TOOL FOR FINE MEASUREMENTS

EXPERIMENTAL STUDY OF THE OUT-OF-PLANE DISPLACEMENT FIELDS FOR DIFFERENT CRACK PROPAGATION VELOVITIES

Imaging of vibrating objects using speckle subtraction

Imaging through Kolmogorov model of atmospheric turbulence for shearing interferometer wavefront sensor

International Journal of Scientific & Engineering Research, Volume 4, Issue 7, July ISSN

Computer aided measurement of biomechanical characteristics of cadaverous lumbar spines

Controlling speckle using lenses and free space. Kelly, Damien P.; Ward, Jennifer E.; Gopinathan, Unnikrishnan; Sheridan, John T.

Transmission Electron Microscopy

Author(s) Kelly, Damien P.; Hennelly, Bryan M.; Sheridan, John T. Applied Optics, 44 (14):

A Single-Beam, Ponderomotive-Optical Trap for Energetic Free Electrons

Suppression of the zero-order term in off-axis digital holography through nonlinear filtering

Introduction to FT-IR Spectroscopy

SCI. Scientific Computing International. Scientific Computing International. FilmTek. Raising Thin Film Metrology Performance to a New Level

Study on fracture behaviors of concrete using electronic speckle pattern interferometry and finite element method

High-Resolution. Transmission. Electron Microscopy

Multi-Purpose Nonlinear Optical Microscope. Principle and its Applications to Polar Thin Film Observation

Optics.

Simultaneous Shearographic and Thermographic NDT of Aerospace materials

Sampling Theorem for Surface Profiling by White-Light Interferometry

Using a Mach-Zehnder interferometer to measure the phase retardations of wave plates

Determination of Lasing Material Properties using Laser Interferometry and Finite-Element Method

Real-time control of the periodicity of a standing wave: an optical accordion

Michelson Interferometer

Chemistry Instrumental Analysis Lecture 15. Chem 4631

Two-electron systems

Metrology and Sensing

Two Dimensional SR-Interferometer at PETRA III. Artem Novokshonov DESY, Tomsk Polytechnic University

Research Article Travel-Time Difference Extracting in Experimental Study of Rayleigh Wave Acoustoelastic Effect

High resolution tomographic diffraction microscopy

Three-dimensional coherence of light speckles: Experiment

1 N star coupler as a distributed fiber-optic strain sensor in a white-light interferometer

Direct measurement of spectral phase for ultrashort laser pulses

Please, note that changes made to the HTML content will be added to the article before publication, but are not reflected in this PDF.

Let us consider a typical Michelson interferometer, where a broadband source is used for illumination (Fig. 1a).

On-axis joint transform correlation based on a four-level power spectrum

Fourier Transform Spectrograph Development Project

Robust and Miniaturized Interferometric Distance Sensor for In-Situ Turning Process Monitoring

arxiv: v1 [quant-ph] 18 Mar 2008

High-Resolution Imagers

LASER APPLICATIONS XII. QPR No Academic Research Staff. Ezekiel. Prof. S. Graduate Students

Supporting Online Material for

Birefringence dispersion in a quartz crystal retrieved from a channelled spectrum resolved by a fibre-optic spectrometer

Material Characterization of Carbon Fiber Reinforced Polymer Laminate Using Virtual Fields Method

A new method to determine wall shear stress distribution

Use of computer generated holograms for alignment of complex null correctors

PRINCIPLES OF PHYSICAL OPTICS

ABSTRACT 1. INTRODUCTION

DIC to Study Deformations. * Jajam, Tippur, Int. J. Solids/Structures, Strains from DIC

Degree of polarization in laser speckles from turbid media: Implications in tissue optics

Chirp images in 2-D fractional Fourier transform domain. Presenter: Ming-Feng Lu Beijing Institute of Technology July 20, 2016

Transcription:

Egypt. J. Solids, Vol. (30), No. (2), (2007) 253 Comparative Measurement in Speckle Interferometry using Fourier Transform Nasser A. Moustafa Physics Department, Faculty of Science, Helwan University, Helwan, Cairo, Egypt. This paper reports on the application of Fourier transform to comparative speckle interferometry. The method here enables the measurement of the difference in displacements of two identical specimens subjected to similar loading steps. The speckle field is considered as a light intensity function of 2 dimensions, which will change with different positioning of the points. After working on the function's discrete Fourier transform (DFT), according to one of the properties of Fourier transformation, the displacement of the measured point is involved in the phase of its spectrum. Having extracted the difference in displacement from the phase, the distribution of the difference in displacement field is obtained. 1. Introduction: Fourier transform fringe pattern analysis is a wide-spread technique with many applications to optical metrology. The principal problem in fringe-pattern analysis is how to reveal phase information from a fringe pattern by separating it from background intensity and local contrast variation. One solution to this problem which is suitable for automated analysis is the Fourier transform method (FTM), first proposed by Takeda, Ina, and Kabayashy [1]. It has been a widespread technique in fringe pattern analysis [2]. and has been incorporated in many interferometric methods with subfringe sensitivity, such as moirė profilometry and contouring [3], holographic interferometry [4], grating interferometry [5] and recently wave length shifting interferometry [6]. Kreis [7] had proposed a modified FTM without a spatial carrier by analyzing two phase-shifted holographic fringe patterns. Yuanpeng [8] had developed an electronic speckle photograph method, i.e., to illuminate the surface of the body by one beam, and to record the two speckle patterns corresponding to the undisplaced and displaced states of the surface in the memory of a computer, and consider the speckle field as light intensity function and calculate its Fourier transform.

Nasser A. Moustafa 254 The aim of this work is to extend the application of FTM to comparative digital speckle interferometry [9-11] and to present a new comparative method that is a modified version of differential digital speckle interferometry (DDSPI), where the DFT is applied to ensure the highest accuracy for the measurements. The new method has been called discrete Fourier transform differential digital speckle pattern interferometry (DFTDDSPI). This application has the advantage of determining the difference in deformation of two identical objects by extracting the phase function and obtaining the distribution of the difference displacement field. 2. Theoretical Analysis The optical system is presented schematically in Fig. (1). The incoming laser beam is divided by a beam splitter and is incident upon the two specimen surfaces after being steered by a set of mirrors. The two beams are adjusted so they are incident upon the two surfaces. The light diffused by the two specimens is superimposed by means of a beam splitter positioned between the imaging lens and the specimens. The speckle in the image plane resulted from the interference of the light diffused by the master and test specimens. The speckle interferograms are recorded by CCD camera and stored in the memory of a computer. Fig.(1): The schematic of fringes in spectrum plane. In response to a deformation, the point P m (x,y) on the surface of the master specimen (before deformation) undergoes a displacement, so it moves to P m ' (x-u m, y-υ m ) after deformation. The companion point P t (x,y) on the surface of the test specimen undergoes a displacement also, and moves to P t ' (x-u t, y-υ t ). The displacement along x-direction being u(x,y), and the displacement along y- direction being υ(x,y).

Egypt. J. Solids, Vol. (30), No. (2), (2007) 255 As it is a micro-deformation, the points before and after deformation corresponds to each other. The light intensity of P t (x,y) in the speckle image before deformation is equal to P t ' (x-υ t, y-υ t ) after deformation. Also the light intensity of P m (x,y) before deformation is equal to P m ' (x-u m, y-υ m ) after deformation. f t (x,y), and f t ' (x,y), are used to express the light intensity functions of the speckle pattern of the surface of the test object before and after deformation respectively. f m (x,y) and f m ' (x,y), are used to express the light intensity functions of the speckle pattern of the surface of the master object before and after deformation respectively. So, f t ' (x,y)=f t (x-u t, y- υ t ), and f m ' (x,y)= f m (x-u m, y- υ m ). The Fourier transform of the two functions f t (x,y), and f m (x,y) for the test and master objects respectively before deformation are, F t (ω x, ω y )= f t (x,y) exp -2jπ(xω x +yω y ) dx dy (1) and F m (ω x, ω y )= f m (x,y) exp -2jπ(xω x +yω y ) dx dy (2) The Fourier transform of f t ' (x,y) and f m ' (x,y). F ' t (ω x, ω y )= f ' t (x,y) exp -2jπ(xω x +yω y ) dx dy = f t (x-u t,y-υ t ) exp -2jπ(xω x +yω y ) dx dy (3) and F ' m (ω x, ω y )= f ' m (x,y) exp -2jπ(xω x +yω y ) dx dy = f m (x-u m,y-υ m ) exp -2jπ(xω x +yω y ) dx d (4) when u t = x ' t,υ t = y ' t, u m = x ' ' m, and υ m = y m are constants along with the displacement of the surface of the bodies, the light intensity function will change to f t (x-x ' t, y-y ' t ) and f m (x-x ' m, y-y ' m ). (x ' t, y ' t, and x ' m, y ' m ) indicates the displacement along the x-axis and y-axis for the test and master objects, respectively.

Nasser A. Moustafa 256 Equations (3 and 4) can be written in the form. F ' t (ω x, ω y )= f t ((x-x ' t,y-y ' t )) exp -2jπ(x ' t ω x +y ' t ω y ) dx dy (5) i.e. Ft' (ωx, ωy)= Ft(ωx, ωy) exp-j2π(xt' ωx+ yt' ωy) (6) F m ' (ω x, ω y )= F m (ω x, ω y ) exp-j2π(x m ' ω x + y m ' ω y ) (7) As a result of the interference of the light scattered from the test and master objects, the light intensity distribution before deformation is given by: I = F t + F m 2 = F t 2 + F m 2 + 2F t F m (8) The light intensity distribution after deformation in the frequency domain, I ' = F t ' + F m ' 2 = F t ' 2 + F m ' 2 + F t ' F m ' +F m ' F t ' By substitution from Eqn. (6 and 7) into (9) I ' = F ' t 2 + F ' m 2 + F ' ' t F m exp[j2π((x ' m -x ' t )ω x +(y ' m -y ' t )ω y )] + F ' ' t F m exp[-j2π((x ' m - x ' t )ω x +(y ' m -y ' t )ω y )] (10) For simplicity put (x m ' - x t ' ) = Δx tm ', and (y m ' - y t ' )= Δy tm ' ' ' Δx tm and Δy tm represent the difference in deformation between the master and test objects in x- and y-directions respectively. Eqn. (10) can be written in the form, I ' = F t ' 2 + F m ' 2 + F t ' F m ' [cos2π( Δx tm ' ω x +Δy tm ' ω y ) + jsin2π(δx tm ' ω x +Δy tm ' ω y )]+ F t ' F m ' [cos2π( Δx tm ' ω x +Δy tm ' ω y ) - jsin2π(δx tm ' ω x +Δy tm ' ω y )] (11) We assume that the deformation of the objects are small enough, so that F t = F t ', and F m = F m ' Subtraction of Eqns. (11 and 8) gives: ΔI = I ' - I= 2F t F m [cos2π(δx ' tm ω x +Δy ' tm ω y )-1] (12) From Eqn. (12), we can see that the spectra are modulated by the cosine function, and in dark fring(dark-line spectrum), ΔI= 0, which means. cos2π(δx ' tm ω x +Δy ' tm ω y )-1 = 0, (13) namely 2π(Δx ' tm ω x +Δy ' tm ω y ) = 2nπ (n=0,1,2,,n). (14) Let n=1, we get 2π(Δx ' tm ω x +Δy ' tm ω y ) = 1 (15) If we select ω x = 0, ω y = ω y1, then Δy ' tm = 1/ ω y1 (16) (9)

Egypt. J. Solids, Vol. (30), No. (2), (2007) If we select ω y = 0, ω x= ω x1, then 257 Δx tm ' = 1/ ω y1 (17) where ω x1 and ω y1 stands for the distances between the original points of coordinate and the crossing points, that is the first dark fringe intersects the coordinate axis (Fig. (2)). Fig.(2): Setup for experimental speckle interferometry used to obtain fringes that contour the difference in displacements. 3. Experimental Validation. To check the predictions of the discrete Fourier transform (DFT), the following experimental work was performed using the experimental arrangement in Fig. (1). At first, the wave field scattered by the test object in its initial state and the wave field scattered by the master object (undeformed) are superposed and recorded by CCD camera. Secondly the wave fields of the scattered wave of the master and test objects after deformation recorded also. The interferometric speckle pattern was stored as before. The two speckle patterns were subtracted from each other and the difference was displayed on the monitor as correlation fringes representing the difference in deformation. Discrete Fourier transform (DFT) made for the resulting image, and we get the fringe image in the spectral field.

Nasser A. Moustafa 258 The unit to be measured on the monitor is the pixel. So we must calibrate the magnification before the test. In this experiment, a distance of 2 μm of displacement along the x-direction in the space domain corresponds to 14 pixels on frequency axis. Figures (3a and 4a) show the correlation fringes representing the deformation of the test (3.5 μm), and master (4.5 μm) objects respectively. Fig. (5a) shows the correlation fringes of the difference in deformation of the two objects, which was 1 μm. Figs. (3b, 4b and 5b) are shown the DFT of the three images Figs. (3a, 4a and 5a), respectively. Finally, Figures (3c, 4c and 5c) show a horizontal gray-level profile line passing through the corresponding highest value of Figure. (3b, 4b and 5b) along the ω x direction (line ω y = 0). Then the distance from the peak point of the fringe (n = 1) to the original point of the coordinate was measured. After measuring the values of ω x1 for the deformed master object (27 pixel), deformed test object (21 pixel), and the difference in deformation (6 pixel), and substituting Eqn. (17), difference in deformation can be obtained easily. The experimental results obtained for the deformation of the two objects and the difference in deformation and using the DFT method are shown in Table (1). (a) (b) (c) Fig.(3): (a) Photograph of the correlation fringes representing the master object deformation (4.5 μm). (b) Image of the fringes 3a in the spectral field. (c) Gray-level profile passing through the corresponding highest value of Fig.(3b) along the x-direction (line ω y = 0).

Egypt. J. Solids, Vol. (30), No. (2), (2007) 259 (a) (b) (c) Fig.(4): (a) Photograph of the correlation fringes representing the test object deformation (3.5 μm). (b) Image of the fringes 4a in the spectral field. (c) Gray-level profile passing through the corresponding highest value of Fig.4b along the x-direction (line ω y =0). Table (1): Results of Experiment. Master Test Difference Displacement DFT (μm) 4.29 3.34 0.95 by Displacement by micrometer (μm) 4.5 3.5 1 Relative error 0.048 0.047 0.052

Nasser A. Moustafa 260 (a) (b) (c) Fig.(5): (a) Photograph of the correlation fringes representing the difference correlation fringes (1 μm). (b) Image of the fringes 5a in the spectral field. (c) Gray-level profile passing through the corresponding highest of value Fig.5b along the x- direction (line ω y =0). From the Table (1) we can see, the good agreement achieved between the experimental results and the results obtained by the DFT method. Figs. (6a, 6b and 6c) show the correlation Fringes, the DFT, and the Gray-level profile respectively for a large deformation, which was (13.6 μm). This proves the applicability of the new method, when the object to be tested is subjected to a large deformation.

Egypt. J. Solids, Vol. (30), No. (2), (2007) 261 (a) (b) (c) Fig.(6): (a) Photograph of the correlation fringes representing the difference correlation fringes ( 13.6 μm). (b) Image of the fringes 6a in the spectral field. (c) Graylevel profile passing through the corresponding highest of value Fig.6b along the x-direction (line ω y =0). 4. Conclusion: A new application of the (DFT) to comparative speckle interferometry is presented. The investigations showed that the DFTDDSPI can be considered as a basis for the construction of an effective, easy to use devise for comparative measurements, and it can be successfully used even at large deformations. For a large displacement (or deformation), it has a higher accuracy than the conventional method, which uses the optical Fourier transform system. A good agreement was achieved between the experimental data and the new method with an error of 4.9 %. This simple method may find industrial application as a useful nondestructive testing (NDT) tool.

Nasser A. Moustafa 262 5. References: 1. M. Takeda, H.Ina and K. Kobayashy, J. Opt. Soc. Am.72 (1), 1566 (1982). 2. M. Takeda, Indust. Metr. 1 (2), 79 (1990). 3. M. Takeda and M. Mutoh, Appl. Opt. 22 (23), 3977 (1983). 4. M. Takeda and Z. Tung, J. Opt. 16 (1), 127 (1985). 5. M. Takeda and K. Kabayashy, Appl. Opt. 23 (11), 1760 (1984). 6. M. Suemastu and M. Takeda, Appl. Opt. 30 (28), 1760 (1991). 7. T. Kreis, J. Opt. Soc. Am, 3 (6), 847 (1986). 8. Zhang Yuanpeng, Exp. Mech., 42 (1), 18 (2002). 9. Nasser A. Moustafa, János Kornis, Opt. Commu., 172, 9 (1999). 10. Nasser A. Moustafa, János Kornis, Zöltan Füzessy, Opt. Eng. 38(7), 1241 (July 1999). 11. A. R. Ganesan, C. Joenathan and R. S. Sirohi, Opt. Commu., 64 (6), 501 (1987).