ebook Chosen methods determining flow parameters based on non-invasive techniques Volodymyr Mosorov

Spis treści ebooka Chosen methods determining flow parameters based on non-invasive techniques

Preface 7
Abbreviations 9
Nomenclature 11
Summary 13
Introduction 15
Chapter 1. Multiphase Flow Measurements 21
1.1. Multiphase flow metering 21
1.2. Multiphase flow classification 22
Summary 24
Chapter 2. Tomographic Imaging Systems 25
2.1. Electrical resistance tomography 26
2.2. Electrical capacitance tomography 27
2.3. Reconstruction algorithms 29
Summary 33
Chapter 3. Algorithms for the Real-Time Measurement of Multiphase Flow Parameters Based on Tomographic Images 35
3.1. Methods for multiphase flow velocity determination 36
3.1.1. Pixel to pixel based cross-correlation method for flow velocity calculation 36
3.1.2. Best-correlated pixel method 37
3.1.3. Virtual channel concept method 41
3.1.4. Weighted-mean phases method 45
3.1.5. Phase spectrum method for time delay estimation using twin plane electrical capacitance tomography 57
3.2. Algorithms for swirl flow velocity measurements 61
3.2.1. The centre of gravity method 63
3.2.2. Spatio-temporal cross-correlation method for swirl flow velocity measurement 64
3.2.3. Estimation of the rotation angle of gas/solid swirl flow by subpixel image resizing 72
3.3. Flow pattern tracing method 79
3.4. Estimation of tomography in mixing processes based on tomographic images 86
Summary 93
Chapter 4. Algorythms for the Radioactive Particle Tracking Technique 95
4.1. MCNP5 code in radioactive particle tracking 96
4.1.1. The MCNP5 model 96
4.1.2. Algorithm validation 100
4.2. Iterative position reconstruction algorithm for radioactive particle tracking techniques 106
4.2.1. Algorithm description 106
4.2.2. Algorithm validation 109
4.3. Strategy for fitting source strength and reconstruction procedure in radioactive particle tracking 113
4.4. Modelling of dynamic experiments in the MCNP5 environment 121
4.4.1. Theory 122
4.4.2. Dynamic model benchmarking 125
4.5. The Lambert-Beer Law in time domain form and its application 127
4.5.1. The Lambert-Beer Law in time form 130
4.5.2. Simulation results 132
Summary 139
Conclusion 141
References 143