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New Technologies in Electromagnetic Non-destructive Testing 1st ed. 2016 [Kõva köide]

  • Formaat: Hardback, 222 pages, kõrgus x laius: 235x155 mm, kaal: 4734 g, 146 Illustrations, color; 47 Illustrations, black and white; X, 222 p. 193 illus., 146 illus. in color., 1 Hardback
  • Sari: Springer Series in Measurement Science and Technology
  • Ilmumisaeg: 16-Mar-2016
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 981100577X
  • ISBN-13: 9789811005770
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  • Formaat: Hardback, 222 pages, kõrgus x laius: 235x155 mm, kaal: 4734 g, 146 Illustrations, color; 47 Illustrations, black and white; X, 222 p. 193 illus., 146 illus. in color., 1 Hardback
  • Sari: Springer Series in Measurement Science and Technology
  • Ilmumisaeg: 16-Mar-2016
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 981100577X
  • ISBN-13: 9789811005770

This book introduces novel developments in the field of electromagnetic non-destructive testing and evaluation (NDT/E). The topics include electromagnetic ultrasonic guided wave testing, pulsed eddy current testing, remote field eddy current testing, low frequency eddy current testing, metal magnetic memory testing, and magnetic flux leakage testing. Considering the increasing concern about the safety maintenance of critical structures in various industries and everyday life, these topics presented here will be of particular interest to the readers in the NDT/E field. This book covers both theoretical researches and the engineering applications of the electromagnetic NDT technology. It could serve as a valuable reference for college students and relevant NDT technicians. It is also a useful material for qualification training and higher learning for nondestructive testing professionals.

1 The Electromagnetic Ultrasonic Guided Wave Testing
1(40)
1.1 Outline
1(3)
1.2 Influencing Factors of EMAT
4(2)
1.2.1 Influence of Wire Spacing of the Coil on the Performance of EMAT
4(1)
1.2.2 The Influence of the Number of Foldings on the Performance of EMAT
5(1)
1.2.3 The Influence of Coil Liftoff on the Performance of EMAT
5(1)
1.3 EMATs for the Generation of Guided Waves Along the Axial Direction of the Pipe
6(3)
1.3.1 The Modes of Axial Guided Waves and Frequency Dispersion
6(1)
1.3.2 The Structure of Axial Guided Wave EMAT and Its Transduction Principle
7(2)
1.4 The Dispersion Characteristics of the Guided Waves
9(2)
1.4.1 The Dispersion Characteristics of the Lamb Waves in the Plate
9(1)
1.4.2 The Dispersion Characteristics of the SH Guided Waves in the Plate
10(1)
1.5 The Electromagnetic Ultrasonic Guided Wave Testing Technique
11(30)
1.5.1 Thickness Measurement Based on Electromagnetic Ultrasound
11(7)
1.5.2 Electromagnetic Ultrasonic Guided Wave Testing Along the Axial Direction of the Pipeline
18(17)
1.5.3 Electromagnetic Ultrasonic Guided Wave Testing for Cracks in the Natural Gas Pipeline
35(4)
References
39(2)
2 The Pulsed Eddy Current Testing
41(40)
2.1 Basic Principle of Electromagnetism
42(6)
2.1.1 The Penetration Depth and the Skin Effect
43(2)
2.1.2 Principle of Probe Design
45(1)
2.1.3 Principle of the Pulsed Eddy Current Testing
46(2)
2.2 The Coil Sensors in the Pulsed Eddy Current Testing
48(24)
2.2.1 Classifications of the Testing Coils
49(1)
2.2.2 Working Modes of the Testing Coils
49(1)
2.2.3 Probes of the Pulsed Eddy Current Testing
50(22)
2.2.4 The Reciprocity Rule in Probe Design
72(1)
2.3 Circuits of the Pulsed Eddy Current Testing
72(9)
2.3.1 The Power Supply Module
73(2)
2.3.2 The Excitation Source
75(1)
2.3.3 The Analog Signal Processing Module
76(1)
2.3.4 The Microcontroller Subsystem
77(2)
References
79(2)
3 The Remote-Field Eddy Current Testing
81(56)
3.1 Outline
81(3)
3.2 The Mathematical Model of the RFEC in the Pipeline
84(7)
3.2.1 Basic Equations
84(4)
3.2.2 The Propagation of the AC Magnetic Field in the Ferromagnetic Pipe Wall
88(2)
3.2.3 The Voltage Signal of the Receiving Coil
90(1)
3.3 The FEM Modeling of the RFEC in the Pipeline
91(14)
3.3.1 Introduction to the FEM and ANSYS
91(4)
3.3.2 Building the Remote-Field Eddy Current Model
95(10)
3.4 2D FEM Simulation of RFEC in Pipeline
105(16)
3.4.1 Electromagnetic Decomposition Analysis
109(3)
3.4.2 The Evaluation Model of the Magnetic Field at the Inner Pipeline Surface
112(2)
3.4.3 Analysis of the Full Circumferential Defect
114(4)
3.4.4 Relation of the Defect Signal with the Dimensions of the Defect
118(3)
3.5 3D FEM Simulation of the RFEC in the Pipeline
121(16)
3.5.1 Signal of the Groove Defect
121(7)
3.5.2 Relationship Between Axial Defect Signal and Defect Size
128(7)
References
135(2)
4 Low-Frequency Eddy Current Testing
137(32)
4.1 Introduction
137(1)
4.2 Finite Element Simulation of Eddy Current Coils
138(22)
4.2.1 The Finite Element Modal of Coils
138(2)
4.2.2 Result of Probe Coil Finite Element Simulation
140(10)
4.2.3 Theoretical Analysis of Probe Coil Model
150(10)
4.3 Pipe Deformation Detecting System Based on Low-Frequency Eddy Current
160(9)
4.3.1 Systematic Design
160(1)
4.3.2 Digital Alternating Current Bridge Measuring Circuit
161(4)
4.3.3 Signal Processing and Display Module
165(2)
References
167(2)
5 Metal Magnetic Memory Testing
169(16)
5.1 Introduction
169(1)
5.2 The Relationship Between Metal Magnetic Memory and Geomagnetic Field
170(15)
5.2.1 The Influence of Geomagnetic Field to Metal Magnetic Memory Testing
170(5)
5.2.2 The Influence of Geomagnetic Field to Metal Magnetic Memory Generation
175(4)
5.2.3 Stress Distribution Detection by Metal Magnetic Memory Testing Method
179(4)
References
183(2)
6 Magnetic Flux Leakage Testing
185
6.1 Introduction
185(2)
6.2 Magnetic Flux Leakage Testing Principle
187(2)
6.3 The Influence Factors of Magnetic Flux Leakage Testing
189(7)
6.3.1 The Thickness of Material
190(1)
6.3.2 The Component of Material
190(1)
6.3.3 The Coupling Loop
190(1)
6.3.4 The Space Between Magnetic Poles
190(1)
6.3.5 The Speed of Inspector
191(1)
6.3.6 The Remanence
192(1)
6.3.7 The Internal Stress
193(1)
6.3.8 The Lift off of Probe
193(3)
6.4 Defect Quantification Method of Magnetic Flux Leakage Testing
196
6.4.1 Defect Quantification Method Based on Statistical Identification
197(5)
6.4.2 Defect Quantification Method Based on Radial Basis Function Neural Network (RBFNN)
202(6)
6.4.3 Defect Quantification Method Based on Three-Dimensional Finite Element Neural Network
208(13)
References
221