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 PLATE THICKNESS EVUALUATION USING MODAL ACOUSTIC EMISSION (MAE) APPROACH MUHAMMAD FIRDAUS BIN OTHMAN B. ENG (HONS.) MECHANICAL ENGINEERING UNIVERSITI MALAYSIA PAHANG

Ma11116_muhammad Firdaus Bin Othman_plate Thickness Evaluation Using Modal Acoustic Emission (Mae) Approach_short

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  • PLATE THICKNESS EVUALUATION USING

    MODAL ACOUSTIC EMISSION (MAE)

    APPROACH

    MUHAMMAD FIRDAUS BIN OTHMAN

    B. ENG (HONS.) MECHANICAL

    ENGINEERING

    UNIVERSITI MALAYSIA PAHANG

  • UNIVERSITI MALAYSIA PAHANG

    DECLARATION OF THESIS AND COPYRIGHT

    Authors full name : MUHAMMAD FIRDAUS BIN OTHMAN

    Date of Birth : 22 JAN 1992

    Title : PLATE THICKNESS EVALUATION USING MODAL

    ACOUSTIC EMISSION (MAE) APPROACH

    Academic Session : II 2014/2015

    I declare that this thesis is classified as :

    CONFIDENTIAL (Contains confidential information under the Official

    Secret Act 1972)*

    RESTRICTED (Contains restricted information as specified by the

    Organisation where research was done)*

    OPENACCESS I agree that my thesis to be published as online open

    access (Full text)

    I acknowledge that Universiti Malaysia Pahang reserve the right as follows:

    1. The Thesis is the Property of Universiti Malaysia Pahang.

    2. The Library of Universiti Malaysia Pahang has the right to make copies for the

    purpose of research only.

    3. The Library has the right to make copies of the thesis for academic exchange.

    Certified By:

    _________________________ ________________________

    DR. MOHD HAFIZI BN

    ZOHARI

    Date: 19 JUNE 2015

    920122-10-5903

    Date: 19 JUNE 2015

  • PLATE THICKNESS EVUALUATION USING MODAL ACOUSTIC EMISSION

    (MAE) APPROACH

    MUHAMMAD FIRDAUS BIN OTHMAN

    Thesis submitted in fulfillment of the requirements

    for the awards of the degree of Bachelor of Mechanical Engineering

    Faculty of Mechanical Engineering

    UNIVERSITI MALAYSIA PAHANG

    JUNE 2015

  • ii

    SUPERVISORS DECLARATION

    I hereby declare that I have checked this project and in my opinion, this project is

    adequate in terms of scope and quality for the award of the degree of Bachelor of

    Mechanical Engineering.

    Signature :

    Name of Supervisor : DR MOHD HAFIZI BIN ZOHARI

    Position : LECTURER OF MECHANICAL ENGINEERING

    Date : 19 JUNE 2015

  • iii

    STUDENTS DECLARATION

    I hereby declare that the work in this project is my own expect for quotations and

    summaries which have been duly acknowledged. The project has not been accepted for

    any degree and is not concurrently submitted for awards of other degree.

    Signature :

    Name : MUHAMMAD FIRDAUS BIN OTHMAN

    ID Number : MA11116

    Date : 19 JUNE 2015

  • iv

    Every challenging work needs self efforts as well as guidance of elders especially those

    who were very close to our hearts. With my humble effort, I dedicated to my loving

    OTHMAN BIN JANTAN and NURLEHA BINTI PANOT

    (Father&Mother)

    I also would like to dedicate my thesis to my friends, lecturers and my siblings. Without

    their patient, support and understanding, the compilation of the work would not have

    been possible.

  • v

    AKNOWLEDGEMENTS

    Alhamdulillah, thank to god that give me opportunity for me to finished the Final Year Project (FYP) that is the final step of my long journey in obtaining my Bachelor Degree in Mechanical Engineering in Universiti Malaysia Pahang (UMP). I have been accompanied and supported by many people along my way to finish the Final Year Project. It is a pleasant way for me to give an opportunity to express my appreciation for all of them.

    First of all, I would like to give a million thanks to my beloved Final Year

    Project supervisor; Dr. Mohd Hafizi Bin Zohari for his great kindness, patience and efforts to help during my Final Year Project progress. Thanks for also guide me along my Final Year Project. With his support, I am able to finish up project and also thesis writing with lots of ideas that been given to me. Without his guidance and encouragement, I might not able to finish my Final Year Project very well.

    I would also like to thank specially to my family and fellow friends that always

    be together with me, give support and also ideas for me to complete my task. They were always being by my side whenever I went through the most difficult moment and help me directly or indirectly. It was completely meaningful experience that I had gained during the collaboration with all of you rather than finish this Final Year Project alone. Thank you so much.

  • vi

    ABSTRACT

    An original technique of acoustic emission (AE), analysis based on the waveform which is contain information source such as location, orientation, size and amount of damage structure. This project was carried out using the method of Modal Acoustic Emission (MAE) to determine the characteristic properties material (thickness) in thin Steel 347 (austenitic stainless) plate. MAE used to exploits the dispersion nature of Lamb Wave which gives a variety of modes and information the characteristics of dispersion and attenuation. This approach of Modal Analysis of AE shows that those signals propagate in the thin plate by two modes: the symmetrical mode called extensional and the unsymmetrical called flexural. The objective of this project is to acquire the acoustic emission signal using single channel acoustic emission tools and determine the thickness of stainless steels by using Modal Acoustic Emission approach. This experiment was conducted by using three difference of thickness of Steel 347 (austenitic stainless) plate which is 1.963mm, 1.99mm and 2.03mm. The source was recorded by using single piezoelectric sensor and assisted by AEwin software. A distance of 200mm from sensor to source location is used as the length of the location. Then, the signal analysis is conducted by using time domain (waveform), frequency domain (Fourier fast transform) and time-frequency domain (wavelet). Determination of arrival time of AE wave is measured based on the arrival of extensional and flexural wave modes using wavelet signal analysis. As a result, the plate thickness determination of steel plate can be observed significantly.

  • vii

    ABSTRAK

    Merupakan salah satu teknik asal pancaran akustik (AE), analisis berdasarkan bentuk gelombang yang mengandungi sumber maklumat seperti lokasi, orientasi, saiz dan jumlah struktur kerosakan. Projek ini telah dijalankan dengan menggunakan kaedah Pelepasan Akustik Modal (MAE) untuk menentukan sifat-sifat bahan (ketebalan) dalam papan besi nipis 347 (tahan karat austenit). MAE digunakan untuk mengeksploitasi Lamb Wave iaitu penyebaran semula jadi gelombang yang memberikan pelbagai mod dan maklumat ciri-ciri penyebaran dan pengecilan. Pendekatan Analisis Modal AE menunjukkan bahawa menyebarkan isyarat dalam papan nipis menghasilkan dua mod: mod simetri dipanggil pemanjangan dan assimetri yang dipanggil lenturan. Objektif projek ini adalah untuk memperoleh isyarat pancaran akustik menggunakan alat pancaran akustik dan menentukan ketebalan papan besi tahan karat dengan menggunakan pendekatan Pelepasan Akustik Modal. Eksperimen ini dijalankan dengan menggunakan tiga perbezaan ketebalan papan besi 347 (tahan karat austenit) iaitu 1.963mm, 1.99mm dan 2.03mm. sumber itu direkodkan dengan menggunakan sensor piezoelektrik tunggal dan dibantu oleh perisian AEwin. Jarak 200mm dari sensor ke lokasi sumber digunakan sebagai panjang lokasi. Kemudian, analisis isyarat dijalankan dengan menggunakan domain masa (gelombang), domain frekuensi (Fast Fourier Transform) dan domain masa (Wavelet Transform). Penentuan masa ketibaan gelombang AE dikira berdasarkan kedatangan mod gelombang pemanjangan dan lenturan menggunakan analisis isyarat wavelet. Akibatnya, penentuan ketebalan papan besi dapat dikira dengan ketara.

  • viii

    TABLE OF CONTENTS

    Page

    SUPERVISORS DECLARATION ii

    STUDENTS DECLARATION iii

    DEDICATION iv

    ACKNOWLEDGEMENTS v

    ABSTRACT vi

    ABSTRAK vii

    TABLE OF CONTENTS viii

    LIST OF TABLES xi

    LIST OF FIGURES xii

    LIST OF SYMBOLS xiv

    LIST OF ABBREVIATIONS xv

    CHAPTER 1 INTRODUCTION

    1.1 Overview 1

    1.2 Important of study 2

    1.3 Objective of the project 3

    1.4 Project scope 3

    CHAPTER 2 LITERATURE REVIEW

    2.1 Introduction and fundamental of Acoustic Emission (AE) 4

    2.1.1 Acoustic Emission Testing 5 2.1.2 Type of Acoustic Emission 6 2.1.3 Source of Acoustic Emission 7

    2.2 Lamb Waves Propagation Theory 7

    2.2.1 Waves Propagation Modes 8 2.2.2 Theory of Lamb Waves 10 2.2.3 Dispersion Curve, Group and Phase Velocity 12 2.2.4 Waves Propagation Effect 12

  • ix

    2.3 Source Location Technique 13

    2.3.1 Types of Localization Method 13 2.3.2 Detection of Acoustic E mission 17

    2.3.2.1 Sensors 17 2.3.2.2 Preamplifiers 18 2.3.2.3 Acquisition and Storage 18 2.3.3 Acoustic Emission Application 19 2.4 Signal Processing Technique 19

    2.4.1 Signal Analysis Method 20 2.4.1.1 Time Domain 21 2.4.1.2 Frequency Domain 21 2.4.1.3 Time Frequency Domain 23

    CHAPTER 3 METHOLOGY

    3.1 Introduction 25

    3.2 Project Flow Chart 26

    3.3 Test Rig and Tool Preparations 27

    3.4 Instrumentation of Acoustic Emission 29

    3.5 Experiment Procedure 33

    CHAPTER 4 RESULT AND DISCUSSION

    4.1 Introduction 35

    4.1.1 Experiment Test 35

    4.2 Data Collect and Calculations 36

    4.2.1 Determine frequency and arrival time of wave modes 36 4.2.2 Determine Group Velocity of modes and thickness 43

    4.2.3 Comparison from Experiment and Theoretical 45 4.3 Discussion 46

    CHAPTER 5 CONCLUSION AND RECOMMENDATION

    5.1 Conclusion 47

    5.2 Recommendation of study 47

  • x

    REFERENCES 49

    APPENDICES 50

    A1 Dispersion Curve Steel 347 (Austenitic Stainless) of Group 50

    Velocity and Phase Velocity at thickness 1.93mm

    A2 Dispersion Curve Steel 347 (Austenitic Stainless) of Group 51

    Velocity and Phase Velocity at thickness 1.99mm

    A3 Dispersion Curve Steel 347 (Austenitic Stainless) of Group 52

    Velocity and Phase Velocity at thickness 2.03mm

    B Comparison Data between Experiment and Theoretical 53

    C Coding Scripts generate using Matlab software in signal 54

    Processing method

    D1 Grant Chart during Final Year Project 1 (FYP 1) 55

    D2 Grant Chart during Final Year Project 2 (FYP 2) 56

  • xi

    LIST OF TABLES

    Table No. Title Page 2.1 Waves types in solids 10 2.2 Type of signal processing 20 4.1 TOA from plate t = 1.93mm 38 4.2 TOA from plate t = 1.99mm 40 4.3 TOA from plate t = 2.03mm 42 4.4 Velocity flexural and thickness of plate t = 1.93mm 44 4.5 Velocity flexural and thickness of plate t = 1.99mm 44 4.6 Velocity flexural and thickness of plate t = 2.03mm 45

  • xii

    LIST OF FIGURES

    Figure No. Title Page 2.1 AE Testing 5 2.2 Type of AE signals 7 2.3 Movement of waves propagate 8

    2.4 Type of wave modes 9 2.5 Schematic representation of plate and coordinates 11 2.6 Linear location technique 15

    2.7 Zonal location technique 16 2.8 Point location technique 16 2.9 Schematic AE setup 17 2.10 AE sensor components 18 2.11 Signal processing 20 2.13 Signal analysis using Fast Fourier Transform 22 3.1 Experiment project flow chart 26 3.2 Experiment setup 27 3.3 Specimen plate with thickness 1.93mm, 1.99mm and 2.03mm 28 3.4 AE sensors attachment on plate 29 3.5 1283 USB AE NODE (DAQ) 30 3.6 Pre-amplifier AE sensor 30 3.7 Digital Vernier Caliper 31 3.8 Grease 31 3.9 Data analysis using MATLAB software 32 3.10 AEwin software control setting 33

  • xiii

    4.1 Signal analysis using Fast Fourier Transform (FFT) for plate 37 thickness 1.93mm

    4.2 Signal analysis using Wavelet Transform (WT) for plate 38 thickness 1.93mm 4.3 Signal analysis using Fast Fourier Transform (FFT). for plate 39 thickness 1.99mm 4.4 Signal analysis using Wavelet Transform (WT) for plate 40

    thickness 1.99mm 4.5 Signal analysis using Fast Fourier Transform (FFT) plate 41

    thickness 2.03mm 4.6 Signal analysis using Wavelet Transform (WT) plate 42

    thickness 2.03mm 4.7 Comparison from experiment with theoretical 45

  • xiv

    LIST OF SYMBOLS

    f Frequency c Phase Velocity d Thickness w Angular frequency k Wave number cp Phase velocity cl Longitudinal wave velocity ct Transverse wave velocity vg Group velocity vp Phase velocity mm Millimetre ce Extensional Velocity cf Flexural Velocity t Thickness p Density l Length from sensor to source fA Frequency of Asymmetric fS Frequency of symmetric E Youngs modulus v Poissons ratio

  • xv

    LIST OF ABBREVIATIONS

    NDT Non Destructive Technique AE Acoustic Emission MAE Modal Acoustic Emission SHM Structural Health Monitoring FYP Final Year Project UMP Universiti Malaysia Pahang SSMAL Single Sensor Modal Analysis Location PLB Pencil Lead Breaking test NI DAQ National Instrument Data Acquisition system TOA Time of Arrival FFT Fast Fourier Transform WT Wavelet Transforms CRO Cathode Ray Oscilloscope DFT Discrete Fourier Transform STFT Short-time Fourier transform FIR Finite Impulse Response IIR Infinite Impulse Response CWT Continuous Wavelet Transform PC Personal Computer

  • CHAPTER 1

    INTRODUCTION

    1.1 OVERVIEW

    The study of wave propagation through elastic solid plate can be conducted to

    carry out non-destructive tests (NDT) of structures. These tests can be used to detect

    and identify, in various cases, both the actual elastic properties and possible geometric

    imperfections included characterisation in early warning failure detections. It will give

    estimate on the safety operational life of the structure, reduce downtime for inspection

    and ensure continued safe performance of the plant.

    Lamb waves are also known plate wave that generally seen from plate like

    structure which require during free lower and upper boundary to maintain its

    propagation. From this testing, a comparison of a thickness using steel 347 (austenitic

    stainless) plate with experimental are required to measured the accuracy using MAE

    technique. The thickness of the plate can be measured by determine of waves modes

    frequency and velocity using Lamb Waves Theory. This dispersion wave depends with

    depth and propagates dispersive along the velocity variation in the media of

    propagation. Moreover, in general surface wave propagates in several modes, which

    means that the dispersion may be represented by two modes (a) the symmetric mode

    (S0) @ extensional mode and; (b) the asymmetric mode (A0) @ flexural mode. Each

    wave modes gives different signal features which can identify the important information

    from the AE source.

    Acoustic emission is the original technique that analysis based on the waveform

    analysis in order to extract the information of source. The Modal Acoustic Emission is

    technique was used to exploits the dispersive nature of Lamb wave. MAE source

  • 2

    location techniques involve determination of the arrival time of significant symmetric

    mode called extensional and asymmetric mode called flexural wave mode components

    and computing the velocity of modes by measuring their temporal separation. An

    analysis of different parameters of the acoustic emission is conducted using MAE

    technique to obtain gives information of thickness of the steel plate. Single Sensor

    Modal Analysis Location (SSMAL) method is used based on the dispersive

    characteristic of Lamb waves that propagate in plate like structure to measure the

    flexural dispersion curve using MAE technique for the steel plate. SSMAL is methods

    that allow determining of the transducer-source distance with only one sensor.

    Piezoelectric transducers sensor is used to converts electrical signals into mechanical

    vibrations (transmit mode) and mechanical vibrations into electrical signals (receive

    mode).

    In this study, the analysis of guided mode AE is used to extract the information

    nature of the source and distinguishing different source of AE using signal analysis of

    waveform.

    1.2 IMPORTANT OF STUDY

    This study is important to identify early warning failure detection and estimation

    of the safety operation life structure of material. The important analysis of the

    difference thickness of steel plate is to determine precious measurement between

    experimental and theoretical. This research is important in order to validate the accuracy

    the calculation predicted lamb wave and compared from theoretical. Beside that it also

    provides reliable global inspection to detect and locate growth crack. Its an important

    to the industry to implementing AE technique in their working routines can give a result

    which is very reliable, precise, accurate and cost time without reduce down time for

    inspection & safety operation life structure. This method is also a Non Destructive

    Technique (NDT) that will not cause any damage to the structure which is being

    inspected and will not interfere with the procedure.

  • 3

    1.3 OBJECTIVES OF THE PROJECT

    a. To acquire the Acoustic Emission (AE) signal using single channel acoustic

    emission tools.

    b. To determine the thickness of Steel 347 (austenitic stainless) plate by using

    Modal Acoustic Emission (MAE) approach.

    1.4 PROJECT SCOPE

    This research study is focussing on source location by using MAE technique with

    single sensor source location (SSMAL) method by identifying and discriminating

    signals from the difference sources of acoustic emission which able to determine the

    thickness of the plate. Laboratory experiment such as Pencil Lead Breaking test (PLB)

    is conducted to for simulating sources of acoustic emission in plate surface. After the

    main source of sound wave is detected by piezoelectric transducers sensor, the one

    channel National Instrument Data Acquisition system (NI DAQ) was used to acquire

    the AE waveform. The acquired waveforms were then stored on a computer for further

    analysis using MATLAB software to provide about the nature of source.

  • CHAPTER 2

    LITERATURE REVIEW

    2.1 INTRODUCTION & FUNDAMENTAL OF ACOUSTIC EMISSION (AE)

    The Acoustic Emission one of non-destructive technique (NDT) which study

    and examining the behaviour applies used for detection source location of elastic waves

    that generated by a material subjected from an external stress. Acoustic refers from

    the acoustic source which are generates due to elastic wave. Acoustic emission method

    are technique Structural Health Monitoring (SHM) which is able to detect damage of an

    engineering structure by analyse acquired data that particular diagnostics overall

    structure failure involves the observation, detection, location, identification and

    assessment of faults. The material that used can be a solid, liquid, gas event plasma in

    phase. This analysis is successfully by directly uses piezoelectric transducers on the

    surface during testing and loading the structure.

    Acoustic Emission technique has several advantages which are:

    a. High sensitivity and accuracy

    b. Cost reduction without close the operation process

    c. Real time monitoring process

    d. Early and rapid detection of structure failure such flaws and cracks

    e. Defective are location only critical defects provide sustainable Acoustic

    Emission sources

    f. Easy and Minimize the time for examination plant which no need for stop

    running production and the structure surface

  • 5

    2.1.1 Acoustic Emission (AE) Testing

    Figure 2.1: AE Testing

    Source: Murawin,2009

    AE testing is a method used to examining and analysis the behaviour of material

    deforming under stress. This testing refers to generation of transient elastic waves

    during the rapid release of energy from localized sources within a structure material due

    a sudden redistribution of stress. Once the structure is applied an external stimulus

    (force), the source localized. When a structure is subjected to an external stimulus, the

    source localized is determined by release a group of energy as stress waves, which

    propagate along the surface of the plate. By detecting sources as small event as large as

    brittle crack advance by the sensor, AE technology warns of danger, informs about

    structural health and watches over costly and critical processes.

    One of macroscopic source of AE is the crack propagation on the material.

    Cracks as well as other discontinuities that occur during material centralize from

    external stress to generate the elastic wave propagate. Cracks will followed along when

    a higher distribution of potential energy, which is released from a minor surface area in

    pattern of stress waves. Stress waves which are produce are occurring due to the rate of

    yield stress does not delivery along with differences area of the medium. The stress

    waves generated are elastic waves mostly but inelastic waves can be generated also

    when stresses exceed yield limit. Acoustic emission is occurring from generation of the

    elastic waves due to significant changes in the stress at the certain region on the

  • 6

    material. This significant change is because by the application of certain external

    stimulus to the material during testing. The stress change must be rapid enough to

    transmit some energy to the surrounding material and dissipates as an elastic wave.

    The possibility distance from origin point of the source location can be

    determine as soon as the elastic waves being generated and travel throughout along the

    material. The elastic waves contain information on the variations and characteristic of

    the acoustic path. This is happened due to structure of material of macroscopic and

    microscopic generate energy which is attenuated by scattering and spreading on its

    geometry. Therefore, as the elastic waves are generated from the source and travels via

    acoustic path cause the formation of wave frequency contents. Hence, gives the

    important information of the source location based on the elastic energy and the time of

    arrival which is detected from the sensor on the structure of the material.

    2.1.2 Type of Acoustic Emission (AE)

    In Acoustic emission test, two mode of distinct qualitative type of acoustic

    emission behaviour is divided which is burst and continuous. The main difference

    between the two modes is temporal behaviour of the material.

    Burst is a type of emission that involves an individual events occurring in a

    material that result in discrete acoustic emission signals. During the burst mode AE,

    energy is released in burst or pulses as the material undergoes plastic deformation. Burst

    mode AE can be high amplitudes.

    Continuous is a type of emission that related to time overlapping and successive

    emission events from one or several sources that results in sustained signals. It will

    occur when the changes in material are continuous, such as corrosion process.

    Detection, ability to distinguish and analyze signals resulting from both emission types

    is important for many acoustic emission applications.

  • 7

    Figure 2.2: Type of AE signals

    Source: Achenbach, (1998)

    2.1.3 Source of Acoustic Emission (AE)

    Source of AE can be classified into two methods which are from acoustic wave

    and thermal diffusion. However, a big difference between two methods which is

    acoustic wave allows transfer energy from cooperative movement of many atoms

    whereas in thermal diffusion an individual atom involves direct energy transfer.

    Transmitting energy through a material is one of the non-electromagnetic methods on

    Acoustic waves. However, the basic general acoustic waves from water and air is

    known as the sound waves.

    2.2 FUNDAMENTAL LAMB WAVE PROPAGATION

    Propagation can be defined as movement through a medium. However, wave

    can be refers as a disturbance (sound, radio waves, light) that moves through a medium

    (air, water, vacuum). Lamb wave only propagate in solid plate which exits in thin

    walled structure. Waves of different types propagate at different velocities and with

  • 8

    different oscillation directions. Moreover, passing through a medium, waves undergo

    multiple changes due to attenuation, dispersion, diffraction, scattering, reflection from

    boundaries, interaction with reflections and other.

    According to the early studies of wave propagation in plate from Horace Lamb

    (1917) and Rayleigh (1945), in term of lamb wave refers based on the characteristics

    from waves propagate in plate. Lamb waves can be generated in plate with free

    boundaries with an infinite number of modes which is within the layer. The infinite

    number of modes exists for a specific plate thickness and acoustic frequency which are

    identified by their respective phase velocities. During the waves are travelling in plate,

    particles plate waves movement diverge to form two difference mode which is

    asymmetric and anti-symmetric mode. The formation of plate modes has their own

    phase and group velocities due to the stress and distribution of this waves particle

    displacement around the plate thickness.

    Figure2.3: Movement of waves propagate

    Source: Horace Lamb (1917) and Rayleigh (1945)

  • 9

    Focusing on through medium of solids, the way of particle to oscillate from the

    sound waves can propagate has four principle modes which is consists shear waves,

    longitudinal waves, surface waves and plate waves. Basically, the two modes waves

    which is shear and longitudinal waves are widely used in source location testing. Figure

    2.3 shown an illustrated wave modes propagate

    2.2.1 Wave Propagation Modes

    Sound travels by the compression and refraction of air molecules at the direction

    in air phase. However, during the solids phase, molecules can support vibrations in

    other directions with a number of different types of sound waves are possible. The

    propagation of waves is often described in terms of what are called wave modes

    Sound travels by the compression and refraction of air molecules at the direction in air

    phase. However, during the solids phase, molecules can support vibrations in other

    directions with a number of different types of sound waves are possible. The

    propagation of waves is often described in terms of what are called wave modes.

    Figure 2.4: Type of wave modes

    Source: Kuttruff, (1991)

  • 10

    Table 2.1: List type of wave modes possible in solids

    Wave Types in Solids Particle Vibrations Longitudinal Parallel to wave direction Transverse (Shear) Perpendicular to wave direction Surface - Rayleigh Elliptical orbit - symmetrical mode Plate Wave - Lamb Component perpendicular to surface (extensional wave) Plate Wave - Love Parallel to plane layer, perpendicular to wave direction Stoneley(Leaky Rayleigh Waves) Wave guided along interface Sezawa Anti-symmetric mode

    Based on Lambs wave theory, there are two common waves modes is produced

    which is called asymmetrical and symmetric wave modes. Symmetrical Lamb waves

    move in a symmetrical fashion about the median plane of the plate. This is sometimes

    called the extensional mode because the wave is stretching and compressing the plate

    in the wave motion direction. Wave motion in the symmetrical mode is most efficiently

    produced when the exciting force is parallel to the plate. The asymmetrical Lamb wave

    mode is often called the flexural mode because a large portion of the motion moves in

    a normal direction to the plate, and a little motion occurs in the direction parallel to the

    plate. In this mode, the body of the plate bends as the two surfaces move in the same

    direction.

    2.2.2 Theory of Lamb Wave

    Pure Lamb waves are guided dispersive waves propagating in an elastic

    isotropic plate with Traction free boundaries, Figure 1 show Lamb waves are formed by

    interference of multiple reflections and mode conversion of longitudinal waves (P-

    waves) and shear waves (S-waves) at the free surfaces of the plate .

  • 11

    Figure 2.5: Schematic representation of plate and coordinates

    Source: Viktorov, (1967)

    Lamb waves with particle displacement in both the x- and y-direction actually

    represents a group of wave types including the bending wave, the Rayleigh wave, and

    the quasi-longitudinal wave. Lamb (1917) derived the dispersion equation that can

    handle the transitions between these types of waves. Harmonic wave propagation in the

    x-direction is only possible for those combinations of frequency (f) and phase velocity

    (c) corresponding to standing waves in the thickness y-direction. These waves must

    obey the dispersion equation (Lamb, 1917), from which dispersion curves can be

    calculated.

    (

    )

    (

    )=

    () For symmetric modes (2.1)

    (

    )

    (

    )=

    ()

    For Asymmetric modes (2.2)

    Where given =

    ; =

    and =

    The parameter d, w, k, cp, cl, and ct are the diameter thickness, angular frequency, wave

    number, phase velocity, longitudinal wave velocity and transverse wave velocity

    respectively.

  • 12

    Equation 1 represents the dispersion relation for pure Lamb waves with particle

    motion in both the x- and the y-direction. Although, the equation was derived long ago

    and looks quite simple, calculating roots for dispersion curve generation can be

    challenging, especially in some regions of wave number and frequency (Graff, 1975).

    Therefore further insight into the practical dispersion curve calculation is given next.

    The dispersion relation is a transcendental function and it not straightforward to

    calculate a k value at any given frequency. A root searching technique has to be used to

    find the right wave numbers at any given frequency. In general roots are complex, but if

    only propagating waves are studied the imaginary component can be ignored

    (Achenbach, 1998).

    2.2.3 Dispersion Curve, Group & Phase Velocity

    Dispersion describes the effect of dispersion in a medium on the properties of a

    wave travelling within that medium. A dispersion relation relates the wavelength or

    wave number of a wave to its frequency. From this relation the phase velocity and

    group velocity of the wave have convenient expressions which then determine the

    refractive indeed of the medium.

    Group velocity can be defined as velocity from the propagation in a certain

    group of waves which have a same package of frequency. Group velocity represented

    as Vg=

    . However, phase velocity is the velocity which occurs during the

    propagation through media. The phase velocity can be defined by rewriting

    equationVp =

    .

    2.2.4 Waves Propagation Effect

    The following phenomena take place as AE waves propagate along the structure:

    a. Attenuation: The gradual decrease in AE amplitude due to energy loss

    mechanisms, from dispersion, diffraction or scattering.

  • 13

    b. Dispersion: A phenomenon caused by the frequency dependence of speed for

    waves. Sound waves are composed of different frequencies hence the speed of

    the wave differs for different frequency spectrums.

    c. Diffraction: The spreading or bending of waves passing through an aperture or

    around the edge of a barrier.

    d. Scattering: The dispersion, deflection of waves encountering a discontinuity in

    the material such as holes, sharp edges and cracks inclusions.

    2.3 SOURCE LOCATION TECHNIQUE

    All source localization techniques mainly depend on determination of the Time

    of Arrival (TOA) and acoustic velocity for the AE signal at different arranged sensors.

    There are two ways to measure TOA: traditional AE methods and alternative methods.

    Traditional AE methods assume threshold value and consider the arrival time is at first

    hit crossing the threshold. The alternative method, single sensor modal analysis

    location, depends on MAE theory. This method is based on of lamb theory. As lamb

    wave propagating in the plate has dispersive characteristics time deference between

    arrival of the fundamental modes S0 and A0 at the sensor could lead to the source

    location. Hence, signal processing such as Wavelet Transform (WT) and Fast Fourier

    Transform (FFT) is required to determine the source location.

    2.3.1 Type of Localization Method

    Modal Analysis Technique

    One of AE method which is occur based identification and asnalysis of AE wave

    modes in thin plate using one sensor. The sensor can identify the two wave modes

    (difference frequency) and velocities of the two modes known. Then, the time of arrival

    between the two wave modes are measured to measure the length beetween a sensor and

    source. This AE technique, broad to be used universal which is able to monitor the

    major structure and wide area during testing.

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    Determination of AE source can be measured based on lamb wave modes which

    is flexural and extensional mode at a sensor. Signal analysis search as Fast Fourier

    Transform (FFT) which enable to identify peak frequency modes and Continuous

    Wavelet Transform (CWT) that enable to determine the Tine of Arrival (TOA) was

    conducted to calculated the desired distance between sensor and source AE

    Multi-Channel Source Location Techniques

    Determinations of source location are often used on acoustic emission (AE)

    through an inspection since there is no damage through this AE analysis. During

    conducting testing, the geometry properties can be obtained from this analysis. Multi-

    channel source location technique is AE technique which is capable to record a single

    AE hit using multiple channel/sensors during carried out testing. Therefore, AE hits is

    recorded from the channel/sensors, the location of source can be obtain by determine

    the velocity of the waves modes propagate on the material and differences on times of

    arrival of hits. This variable can be measured by data acquisition system and computer

    hardware. Hence, properly separate the sensor in relevant helps possibility to inspect the

    entire structure.

    Since the source location technique is based on the AE waves that travel on a

    material at a constant velocity. Determination of wave modes can be obtained even

    though there are sentences various effect may affected on expectation on velocity of AE

    waves such as multiple mode and reflections also the accuracy on the technique.

    Linear Location Technique

    Linear location technique generally used to finding the location acoustic

    emission source (AE) which is used time difference on linear structure of material likes

    tubes, rods or pipes. This technique relate on the measured of time difference on arrival

    of times from AE waves that recorded using two sensors. One of the commonly used

    computed-source location techniques is the linear location principle shown to the right.

    This technique is used to measure distance of source location in between midpoint on

    multiple sensors. Since the source is located in midpoint on multiple sensors, the time

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    arrival difference at the two sensors is calculate. To measure the length on source

    location on midpoint of the multiple sensors, the arrival time difference is multiplication

    with the wave velocity. Determination on the source location along either left or right is

    based on hit from sensor first records obtain

    Figure 2.6: Linear location technique

    Source: Murawin, (2004)

    Zonal Location Technique

    Zone location is based on the principle that the sensor with the highest amplitude

    or energy output will be closest to the source. Basically, this technique used to

    determine the waves to a specific region or zone where sensors are separated to keep

    away or attenuation effect from the material at multiple sensors.

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    Figure 2.7: Zonal location technique

    Source: Murawin, (2004)

    Point Location

    In order for point location to be justified, signals must be detected in a minimum

    number of sensors: two for linear, three for planar, four for volumetric. Accurate arrival

    times must also be available. Arrival times are often found by using peak amplitude or

    the first threshold crossing. The velocity of wave propagation and exact position of the

    sensors are necessary criteria as well. Equations can then be derived using sensor array

    geometry or more complex algebra to locate more specific point of intercept.

    Figure 2.8: Point location technique

    Source: Murawin, (2004)

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    2.3.2 Detection of Acoustic Emission

    Detection of acoustic emission testing setup can be performed with the several

    stationary laboratory setting and portable instrument. In briefly, the setup consist a

    sensor, filter, preamplifier, hardware software, measurement tools and display (personal

    computer and oscilloscope).

    Figure 2.9: Schematic AE setup

    Source: Kaphle,(2012)

    2.3.2.1 Sensors

    A sensor (transducer) defines as measure device that detect or records certain

    type of input response from the acoustic wave that gives electrical signal during

    stimulated. Several device from electromagnetic device that used to detect the generated

    signal is piezoelectric devices, magnetostrictive devices, phonograph pickups, laser

    interferometers and capacitive microphones which is use to identify the surface

    displacement on each sample. This sensor is used to convert mechanical movement

    (analog signal) into electrical signal (digital signal. Generally, this sensor requires

    detecting typical frequency with range 30 kHz to 1 MHz. The exact relationship

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    between the characteristics of the wave and those of the signal will depend on both the

    sensor and the wave.

    Figure 2.10: AE sensor components

    Source: Mathew J. Yedlin, (2008)

    2.3.2.2 Pre-amplifiers

    Preamplifier is used to boosts the voltage and obtain gain and cable is to

    increase the strength of the input signal. To minimize interference, a preamplifier is

    placed close to the transducer; in fact, many transducers today are equipped with

    integrated preamplifiers. Amplifying and frequency filtering are the two components of

    signal conditioning.Then, elimination of low and high frequencies are obtained by the

    filter which travels eventually to a computer for further analysis. Further filtering and

    amplification are necessary based on noise conditions.

    2.3.2.3 Acquisition and storage

    Data acquisition is a device that performs analog-to-digital conversion of

    signals, filtration, hits (useful signals) detection and it parameters evaluation, data

    analysis and charting. This device obtains the measurement circuit by release the digital

    pulse once the threshold voltage is fulfilled. The beginning of a hit shows significantly

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    the first pulse until process has stopped. Most of acquisition design uses a hit-driven

    architecture which is efficiently to calculate all detected signal and record digital

    descriptions.

    2.3.3 Acoustic Emission (AE) Application

    Application of the acoustic emission as a diagnostic method, structural integrity

    assessment tool is possible when a qualitative or quantitative relationship between

    detected acoustic emission and material condition is established for a specific material

    and structure. There are two major approaches to achieve this goal:

    a. Determining experimentally a characteristic set (fingerprints) of acoustic

    emission parameters and their characteristics that uniquely describe a material

    condition, fracture stage, flaw type and etc.

    b. Establishing a theoretical relationship between acoustic emission parameters and

    their characteristics and material properties, fracture mechanics parameters and

    etc.

    2.4 SIGNAL PROCESSING TECHNIQUE

    This techniques able to improve better understanding on information collected

    that include fundamental theory, applications, algorithms, and implementations of

    processing or transferring information contained in many different physical,

    symbolic, or abstract formats broadly designated as signals and uses mathematical,

    statistical, computational, heuristic, and linguistic representations, formalisms, and

    techniques for representation, modelling, analysis, synthesis, discovery, recovery,

    sensing, acquisition, extraction, learning, security, or forensics. Hence, signal

    processing is able to excerpt all the information from the source location that are

    recorded through the waveform during testing is conducted.

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    Figure 2.11: Signal processing

    Source: Murawin, (2007)

    2.4.1 Signal Analysis Method

    Signal analysis is a method which is used to extract the information and features

    of from the recorded signal. This process very important to observe of AE signal

    behaviour and determine the characteristic of the material structure.

    Table 2.2: Type of signal processing method

    Domain Parameter Information of the source Time domain variable Rate Rate of damage occurring

    Peak amplitude Intensity of the source Relatives arrival times Source location Duration or count Energy of source Waveform Structure of source Energy Energy of source - damage type

    Frequency domain variable

    Frequency spectrum Nature of source

    Time-Frequency domain variable

    Spectrogram Energy distribution of source through time

    Wavelet transform Energy distribution of source through time