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Publisher: Springer-Verlag   (Total: 2336 journals)

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Showing 1201 - 1400 of 2336 Journals sorted alphabetically
J. of Community Genetics     Hybrid Journal   (Followers: 1, SJR: 0.727, h-index: 14)
J. of Community Health     Hybrid Journal   (Followers: 8, SJR: 0.921, h-index: 44)
J. of Comparative Physiology A: Neuroethology, Sensory, Neural, and Behavioral Physiology     Hybrid Journal   (Followers: 7, SJR: 1.087, h-index: 74)
J. of Comparative Physiology B : Biochemical, Systemic, and Environmental Physiology     Hybrid Journal   (Followers: 4, SJR: 1.126, h-index: 59)
J. of Compassionate Health Care     Open Access   (Followers: 1)
J. of Computational Analysis and Applications     Hybrid Journal   (SJR: 0.291, h-index: 19)
J. of Computational Electronics     Hybrid Journal   (Followers: 4, SJR: 0.511, h-index: 20)
J. of Computational Neuroscience     Hybrid Journal   (Followers: 21, SJR: 1.068, h-index: 60)
J. of Computer and Systems Sciences Intl.     Hybrid Journal   (SJR: 0.27, h-index: 13)
J. of Computer Science and Technology     Open Access   (Followers: 5, SJR: 0.437, h-index: 31)
J. of Computer Virology and Hacking Techniques     Hybrid Journal   (Followers: 7, SJR: 0.151, h-index: 2)
J. of Computer-Aided Molecular Design     Hybrid Journal   (Followers: 3, SJR: 0.995, h-index: 78)
J. of Computers in Education     Hybrid Journal   (Followers: 8)
J. of Computing in Higher Education     Hybrid Journal   (Followers: 13, SJR: 0.363, h-index: 21)
J. of Consumer Policy     Hybrid Journal   (Followers: 5, SJR: 0.704, h-index: 30)
J. of Contemporary Mathematical Analysis     Hybrid Journal   (SJR: 0.237, h-index: 5)
J. of Contemporary Physics (Armenian Academy of Sciences)     Hybrid Journal   (Followers: 11, SJR: 0.197, h-index: 6)
J. of Contemporary Psychotherapy     Hybrid Journal   (Followers: 5, SJR: 0.397, h-index: 23)
J. of Control Theory and Applications     Hybrid Journal   (Followers: 2, SJR: 0.359, h-index: 19)
J. of Control, Automation and Electrical Systems     Hybrid Journal   (Followers: 7, SJR: 0.231, h-index: 9)
J. of Crop Science and Biotechnology     Hybrid Journal   (Followers: 7)
J. of Cross-Cultural Gerontology     Hybrid Journal   (Followers: 5, SJR: 0.631, h-index: 29)
J. of Cryptographic Engineering     Partially Free   (Followers: 5, SJR: 0.989, h-index: 11)
J. of Cryptology     Hybrid Journal   (Followers: 2, SJR: 1.443, h-index: 55)
J. of Cultural Economics     Hybrid Journal   (Followers: 4, SJR: 0.539, h-index: 29)
J. of Database Marketing & Customer Strategy Management     Hybrid Journal   (Followers: 8, SJR: 0.149, h-index: 8)
J. of Derivatives & Hedge Funds     Hybrid Journal   (Followers: 7, SJR: 0.114, h-index: 5)
J. of Developmental and Physical Disabilities     Hybrid Journal   (Followers: 8, SJR: 0.574, h-index: 29)
J. of Digital Imaging     Hybrid Journal   (Followers: 9, SJR: 0.578, h-index: 35)
J. of Direct Data and Digital Marketing Practice     Hybrid Journal   (Followers: 8, SJR: 0.154, h-index: 6)
J. of Dynamical and Control Systems     Hybrid Journal   (Followers: 2, SJR: 0.4, h-index: 26)
J. of Dynamics and Differential Equations     Hybrid Journal   (SJR: 1.418, h-index: 31)
J. of Earth Science     Hybrid Journal   (Followers: 8, SJR: 0.483, h-index: 16)
J. of Earth System Science     Open Access   (Followers: 43, SJR: 0.448, h-index: 32)
J. of East Asian Linguistics     Hybrid Journal   (Followers: 5, SJR: 0.537, h-index: 20)
J. of Echocardiography     Hybrid Journal   (Followers: 4, SJR: 0.22, h-index: 3)
J. of Economic Growth     Hybrid Journal   (Followers: 23, SJR: 3.273, h-index: 63)
J. of Economic Interaction and Coordination     Hybrid Journal   (SJR: 0.263, h-index: 12)
J. of Economics     Hybrid Journal   (Followers: 10, SJR: 0.418, h-index: 23)
J. of Economics and Finance     Hybrid Journal   (Followers: 6, SJR: 0.272, h-index: 19)
J. of Educational Change     Hybrid Journal   (Followers: 7, SJR: 0.961, h-index: 21)
J. of Elasticity     Hybrid Journal   (Followers: 5, SJR: 0.851, h-index: 45)
J. of Electroceramics     Hybrid Journal   (SJR: 0.577, h-index: 57)
J. of Electronic Materials     Hybrid Journal   (Followers: 3, SJR: 0.609, h-index: 75)
J. of Electronic Testing     Hybrid Journal   (Followers: 2, SJR: 0.372, h-index: 27)
J. of Electronics (China)     Hybrid Journal   (Followers: 4, SJR: 0.112, h-index: 9)
J. of Elementary Science Education     Hybrid Journal   (Followers: 8)
J. of Engineering Mathematics     Hybrid Journal   (SJR: 0.347, h-index: 37)
J. of Engineering Physics and Thermophysics     Hybrid Journal   (Followers: 1, SJR: 0.288, h-index: 11)
J. of Engineering Research     Open Access   (SJR: 0.145, h-index: 5)
J. of Engineering Thermophysics     Hybrid Journal   (Followers: 2, SJR: 0.763, h-index: 9)
J. of Environmental Studies and Sciences     Partially Free   (Followers: 2)
J. of Ethology     Hybrid Journal   (Followers: 2, SJR: 0.609, h-index: 25)
J. of Evolution Equations     Hybrid Journal   (SJR: 0.826, h-index: 26)
J. of Evolutionary Biochemistry and Physiology     Hybrid Journal   (SJR: 0.145, h-index: 11)
J. of Evolutionary Economics     Hybrid Journal   (Followers: 8, SJR: 0.492, h-index: 52)
J. of Experimental and Theoretical Physics     Hybrid Journal   (Followers: 3, SJR: 0.458, h-index: 39)
J. of Experimental Criminology     Hybrid Journal   (Followers: 40, SJR: 1.445, h-index: 28)
J. of Failure Analysis and Prevention     Hybrid Journal   (Followers: 5, SJR: 0.261, h-index: 15)
J. of Family and Economic Issues     Hybrid Journal   (Followers: 6, SJR: 0.396, h-index: 32)
J. of Family Violence     Hybrid Journal   (Followers: 31, SJR: 0.639, h-index: 56)
J. of Financial Services Marketing     Hybrid Journal   (Followers: 3, SJR: 0.273, h-index: 10)
J. of Financial Services Research     Hybrid Journal   (Followers: 16, SJR: 0.572, h-index: 36)
J. of Fixed Point Theory and Applications     Hybrid Journal   (SJR: 0.644, h-index: 13)
J. of Fluorescence     Hybrid Journal   (Followers: 3, SJR: 0.465, h-index: 56)
J. of Food Measurement and Characterization     Hybrid Journal   (SJR: 0.307, h-index: 4)
J. of Food Science and Technology     Hybrid Journal   (Followers: 5, SJR: 0.441, h-index: 29)
J. of Forest Research     Hybrid Journal   (Followers: 3, SJR: 0.495, h-index: 27)
J. of Forestry Research     Hybrid Journal   (Followers: 6, SJR: 0.304, h-index: 14)
J. of Fourier Analysis and Applications     Hybrid Journal   (Followers: 1, SJR: 1.18, h-index: 42)
J. of Friction and Wear     Hybrid Journal   (Followers: 6, SJR: 0.373, h-index: 7)
J. of Fusion Energy     Hybrid Journal   (Followers: 3, SJR: 0.387, h-index: 19)
J. of Gambling Studies     Hybrid Journal   (Followers: 4, SJR: 1.171, h-index: 57)
J. of Gastroenterology     Hybrid Journal   (Followers: 11, SJR: 1.651, h-index: 88)
J. of Gastrointestinal Cancer     Hybrid Journal   (Followers: 3, SJR: 0.304, h-index: 39)
J. of Gastrointestinal Surgery     Hybrid Journal   (Followers: 6, SJR: 1.64, h-index: 99)
J. of General Internal Medicine     Hybrid Journal   (Followers: 13, SJR: 1.804, h-index: 134)
J. of General Plant Pathology     Hybrid Journal   (SJR: 0.554, h-index: 22)
J. of Genetic Counseling     Hybrid Journal   (Followers: 5, SJR: 0.902, h-index: 39)
J. of Genetics     Open Access   (Followers: 4, SJR: 0.458, h-index: 28)
J. of Geodesy     Hybrid Journal   (Followers: 8, SJR: 2.173, h-index: 56)
J. of Geographical Sciences     Hybrid Journal   (Followers: 1, SJR: 0.8, h-index: 23)
J. of Geographical Systems     Hybrid Journal   (Followers: 3, SJR: 0.822, h-index: 39)
J. of Geometric Analysis     Hybrid Journal   (SJR: 1.491, h-index: 27)
J. of Geometry     Hybrid Journal   (Followers: 1, SJR: 0.272, h-index: 15)
J. of Global Optimization     Hybrid Journal   (Followers: 4, SJR: 0.992, h-index: 60)
J. of Global Policy and Governance     Hybrid Journal   (Followers: 8)
J. of Grid Computing     Hybrid Journal   (SJR: 1.414, h-index: 37)
J. of Hand and Microsurgery     Hybrid Journal   (Followers: 1)
J. of Happiness Studies     Hybrid Journal   (Followers: 17, SJR: 0.881, h-index: 39)
J. of Hematopathology     Hybrid Journal   (Followers: 4, SJR: 0.2, h-index: 13)
J. of Heuristics     Hybrid Journal   (Followers: 5, SJR: 1.308, h-index: 50)
J. of High Energy Physics     Hybrid Journal   (Followers: 19, SJR: 1.052, h-index: 153)
J. of Homotopy and Related Structures     Hybrid Journal   (SJR: 0.232, h-index: 2)
J. of Housing and the Built Environment     Hybrid Journal   (Followers: 6, SJR: 0.648, h-index: 28)
J. of Huazhong University of Science and Technology [Medical Sciences]     Hybrid Journal   (SJR: 0.344, h-index: 19)
J. of Ichthyology     Hybrid Journal   (Followers: 3, SJR: 0.304, h-index: 10)
J. of Immigrant and Minority Health     Hybrid Journal   (Followers: 10, SJR: 0.759, h-index: 37)
J. of Inclusion Phenomena and Macrocyclic Chemistry     Hybrid Journal   (Followers: 1, SJR: 0.331, h-index: 46)
J. of Indian Philosophy     Hybrid Journal   (Followers: 11, SJR: 0.127, h-index: 12)
J. of Indian Prosthodontic Society     Open Access   (SJR: 0.164, h-index: 7)
J. of Industrial Microbiology and Biotechnology     Hybrid Journal   (Followers: 14, SJR: 0.966, h-index: 80)
J. of Industry, Competition and Trade     Hybrid Journal   (Followers: 6, SJR: 0.327, h-index: 15)
J. of Infection and Chemotherapy     Hybrid Journal   (Followers: 1, SJR: 0.673, h-index: 46)
J. of Information Technology     Hybrid Journal   (Followers: 50, SJR: 1.474, h-index: 55)
J. of Information Technology Teaching Cases     Hybrid Journal   (Followers: 8)
J. of Infrared, Millimeter and Terahertz Waves     Hybrid Journal   (Followers: 2, SJR: 1.25, h-index: 36)
J. of Inherited Metabolic Disease     Hybrid Journal   (Followers: 2, SJR: 1.389, h-index: 77)
J. of Inorganic and Organometallic Polymers and Materials     Partially Free   (Followers: 8, SJR: 0.338, h-index: 33)
J. of Insect Behavior     Hybrid Journal   (Followers: 9, SJR: 0.569, h-index: 39)
J. of Insect Conservation     Hybrid Journal   (Followers: 10, SJR: 0.872, h-index: 43)
J. of Intelligent and Robotic Systems     Hybrid Journal   (Followers: 2, SJR: 0.629, h-index: 43)
J. of Intelligent Information Systems     Hybrid Journal   (Followers: 1, SJR: 0.691, h-index: 43)
J. of Intelligent Manufacturing     Hybrid Journal   (Followers: 4, SJR: 1.397, h-index: 54)
J. of Interventional Cardiac Electrophysiology     Hybrid Journal   (SJR: 0.93, h-index: 43)
J. of Intl. Business Studies     Hybrid Journal   (Followers: 28, SJR: 4.208, h-index: 130)
J. of Intl. Entrepreneurship     Hybrid Journal   (Followers: 9, SJR: 0.549, h-index: 23)
J. of Intl. Migration and Integration / Revue de l integration et de la migration internationale     Hybrid Journal   (Followers: 12, SJR: 0.308, h-index: 13)
J. of Intl. Relations and Development     Hybrid Journal   (Followers: 20, SJR: 0.793, h-index: 22)
J. of Labor Research     Hybrid Journal   (Followers: 17, SJR: 0.394, h-index: 27)
J. of Logic, Language and Information     Hybrid Journal   (Followers: 7, SJR: 0.288, h-index: 25)
J. of Low Temperature Physics     Hybrid Journal   (Followers: 2, SJR: 0.531, h-index: 52)
J. of Machinery Manufacture and Reliability     Hybrid Journal   (Followers: 2, SJR: 0.203, h-index: 7)
J. of Mammalian Evolution     Hybrid Journal   (Followers: 5, SJR: 1.134, h-index: 37)
J. of Mammary Gland Biology and Neoplasia     Hybrid Journal   (Followers: 1, SJR: 2.252, h-index: 83)
J. of Management and Governance     Hybrid Journal   (Followers: 12, SJR: 0.805, h-index: 33)
J. of Management Control     Hybrid Journal   (Followers: 4, SJR: 0.605, h-index: 6)
J. of Marine Science and Application     Hybrid Journal   (Followers: 3, SJR: 0.439, h-index: 11)
J. of Marine Science and Technology     Hybrid Journal   (Followers: 3, SJR: 0.235, h-index: 19)
J. of Maritime Archaeology     Hybrid Journal   (Followers: 21, SJR: 0.228, h-index: 8)
J. of Market-Focused Management     Hybrid Journal   (Followers: 2)
J. of Marketing Analytics     Hybrid Journal   (Followers: 3)
J. of Material Cycles and Waste Management     Hybrid Journal   (Followers: 3, SJR: 0.449, h-index: 22)
J. of Materials Engineering and Performance     Hybrid Journal   (Followers: 22, SJR: 0.544, h-index: 40)
J. of Materials Science     Hybrid Journal   (Followers: 19, SJR: 0.836, h-index: 123)
J. of Materials Science : Materials in Electronics     Hybrid Journal   (Followers: 3)
J. of Materials Science : Materials in Medicine     Hybrid Journal   (Followers: 5)
J. of Mathematical Biology     Hybrid Journal   (Followers: 12, SJR: 1.011, h-index: 71)
J. of Mathematical Chemistry     Hybrid Journal   (Followers: 5, SJR: 0.497, h-index: 45)
J. of Mathematical Fluid Mechanics     Hybrid Journal   (Followers: 6, SJR: 1.22, h-index: 22)
J. of Mathematical Imaging and Vision     Hybrid Journal   (Followers: 3, SJR: 0.901, h-index: 53)
J. of Mathematical Modelling and Algorithms     Hybrid Journal   (Followers: 2, SJR: 0.414, h-index: 23)
J. of Mathematical Sciences     Hybrid Journal   (SJR: 0.272, h-index: 23)
J. of Mathematics Teacher Education     Hybrid Journal   (Followers: 13, SJR: 1.062, h-index: 20)
J. of Maxillofacial and Oral Surgery     Hybrid Journal   (Followers: 1)
J. of Mechanical Science and Technology     Hybrid Journal   (Followers: 5, SJR: 0.589, h-index: 26)
J. of Medical and Biological Engineering     Hybrid Journal   (Followers: 1, SJR: 0.387, h-index: 18)
J. of Medical Humanities     Hybrid Journal   (Followers: 20, SJR: 0.299, h-index: 18)
J. of Medical Systems     Hybrid Journal   (Followers: 1, SJR: 0.717, h-index: 44)
J. of Medical Toxicology     Hybrid Journal   (Followers: 4, SJR: 0.874, h-index: 28)
J. of Medical Ultrasonics     Hybrid Journal   (Followers: 2, SJR: 0.18, h-index: 13)
J. of Medicine and the Person     Hybrid Journal  
J. of Membrane Biology     Hybrid Journal   (Followers: 2, SJR: 0.738, h-index: 82)
J. of Micro-Bio Robotics     Hybrid Journal   (SJR: 0.28, h-index: 3)
J. of Microbiology     Hybrid Journal   (Followers: 7, SJR: 0.741, h-index: 43)
J. of Mining Science     Hybrid Journal   (Followers: 5, SJR: 0.317, h-index: 16)
J. of Molecular Evolution     Hybrid Journal   (Followers: 9, SJR: 0.952, h-index: 108)
J. of Molecular Histology     Hybrid Journal   (Followers: 2, SJR: 0.755, h-index: 48)
J. of Molecular Medicine     Hybrid Journal   (Followers: 15, SJR: 2.165, h-index: 113)
J. of Molecular Modeling     Hybrid Journal   (Followers: 4, SJR: 0.466, h-index: 50)
J. of Molecular Neuroscience     Partially Free   (Followers: 10, SJR: 0.988, h-index: 69)
J. of Mountain Science     Hybrid Journal   (Followers: 3, SJR: 0.418, h-index: 15)
J. of Muscle Research and Cell Motility     Hybrid Journal   (Followers: 1, SJR: 1.264, h-index: 55)
J. of Nanoparticle Research     Hybrid Journal   (Followers: 4, SJR: 0.583, h-index: 84)
J. of Natural Medicines     Hybrid Journal   (SJR: 0.602, h-index: 28)
J. of Near-Death Studies     Hybrid Journal   (Followers: 2)
J. of Nephrology     Hybrid Journal   (Followers: 5, SJR: 0.689, h-index: 55)
J. of Network and Systems Management     Hybrid Journal   (SJR: 0.466, h-index: 26)
J. of Neural Transmission     Hybrid Journal   (Followers: 2, SJR: 1.034, h-index: 86)
J. of Neuro-Oncology     Hybrid Journal   (Followers: 4, SJR: 1.274, h-index: 90)
J. of Neuroimmune Pharmacology     Hybrid Journal   (Followers: 1, SJR: 1.662, h-index: 45)
J. of Neurology     Hybrid Journal   (Followers: 13, SJR: 1.429, h-index: 105)
J. of NeuroVirology     Hybrid Journal   (Followers: 1, SJR: 0.979, h-index: 69)
J. of Nondestructive Evaluation     Hybrid Journal   (Followers: 9, SJR: 0.863, h-index: 27)
J. of Nonlinear Science     Hybrid Journal   (Followers: 1, SJR: 1.887, h-index: 42)
J. of Nonverbal Behavior     Hybrid Journal   (Followers: 4, SJR: 0.723, h-index: 47)
J. of Nuclear Cardiology     Hybrid Journal   (SJR: 1.024, h-index: 68)
J. of Nutrition, Health and Aging     Hybrid Journal   (Followers: 19, SJR: 0.919, h-index: 60)
J. of Obstetrics and Gynecology of India     Hybrid Journal   (Followers: 6, SJR: 0.214, h-index: 6)
J. of Occupational Rehabilitation     Hybrid Journal   (Followers: 15, SJR: 0.811, h-index: 51)
J. of Ocean Engineering and Marine Energy     Hybrid Journal   (Followers: 1)
J. of Ocean University of China (English Edition)     Hybrid Journal   (Followers: 1, SJR: 0.237, h-index: 11)
J. of Oceanography     Hybrid Journal   (Followers: 10, SJR: 0.796, h-index: 52)
J. of Ocular Biology, Diseases, and Informatics     Hybrid Journal   (SJR: 0.183, h-index: 11)
J. of Optical and Fiber Communications Reports     Hybrid Journal   (Followers: 3)
J. of Optics     Hybrid Journal   (Followers: 8, SJR: 0.214, h-index: 8)
J. of Optimization Theory and Applications     Hybrid Journal   (Followers: 3, SJR: 0.898, h-index: 65)
J. of Ornithology     Hybrid Journal   (Followers: 21)
J. of Orofacial Orthopedics / Fortschritte der Kieferorthopädie     Hybrid Journal   (SJR: 0.574, h-index: 33)
J. of Orthopaedic Science     Hybrid Journal   (Followers: 5, SJR: 0.708, h-index: 48)
J. of Paleolimnology     Hybrid Journal   (Followers: 5, SJR: 0.984, h-index: 64)
J. of Parasitic Diseases     Hybrid Journal   (Followers: 2, SJR: 0.298, h-index: 9)
J. of Pediatric Neuropsychology     Hybrid Journal   (Followers: 3)
J. of Pest Science     Hybrid Journal   (Followers: 2, SJR: 1.341, h-index: 28)
J. of Pharmaceutical Health Care and Sciences     Open Access  
J. of Pharmaceutical Innovation     Hybrid Journal   (Followers: 8, SJR: 0.524, h-index: 17)
J. of Pharmaceutical Investigation     Hybrid Journal   (Followers: 1, SJR: 0.331, h-index: 6)
J. of Pharmacokinetics and Pharmacodynamics     Hybrid Journal   (Followers: 18, SJR: 0.708, h-index: 46)
J. of Phase Equilibria and Diffusion     Hybrid Journal   (Followers: 18, SJR: 0.433, h-index: 36)
J. of Philosophical Logic     Hybrid Journal   (Followers: 8, SJR: 0.704, h-index: 26)

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Journal Cover Experiments in Fluids
  [SJR: 1.088]   [H-I: 82]   [10 followers]  Follow
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 1432-1114 - ISSN (Online) 0723-4864
   Published by Springer-Verlag Homepage  [2336 journals]
  • Validation of magnetic resonance concentration measurements with adiabatic
           wall temperature measurements
    • Authors: Emily L. Sayles; John K. Eaton
      Abstract: Abstract Adiabatic wall temperature measurements were obtained in a high subsonic Mach number airflow experiment and compared with concentration measurements near the surface from a low-speed liquid flow experiment. Excellent agreement between the temperature and concentration measurements validates the investigation of turbulent mixing phenomena in compressible gas flows through the study of incompressible liquid flows with magnetic resonance techniques.
      PubDate: 2016-11-26
      DOI: 10.1007/s00348-016-2270-1
      Issue No: Vol. 57, No. 12 (2016)
  • Spatiotemporal analysis of turbulent jets enabled by 100-kHz, 100-ms
           burst-mode particle image velocimetry
    • Authors: Joseph D. Miller; Naibo Jiang; Mikhail N. Slipchenko; Jason G. Mance; Terrence R. Meyer; Sukesh Roy; James R. Gord
      Abstract: Abstract 100-kHz particle image velocimetry (PIV) is demonstrated using a double-pulsed, burst-mode laser with a burst duration up to 100 ms. This enables up to 10,000 time-sequential vector fields for capturing a temporal dynamic range spanning over three orders of magnitude in high-speed turbulent flows. Pulse doublets with inter-pulse spacing of 2 µs and repetition rate of 100 kHz are generated using a fiber-based oscillator and amplified through an all-diode-pumped, burst-mode amplifier. A physics-based model of pulse doublet amplification in the burst-mode amplifier is developed and used to accurately predict oscillator pulse width and pulse intensity inputs required to generate equal-energy pulse doublets at 532 nm for velocity measurements. The effect of PIV particle response and high-speed-detector limitations on the spatial and temporal resolution are estimated in subsonic turbulent jets. An effective spatial resolution of 266–275 µm and temporal resolution of 10 µs are estimated from the 8 × 8 pixel correlation window and inter-doublet time spacing, respectively. This spatiotemporal resolution is sufficient for quantitative assessment of integral time and length scales in highly turbulent jets with Reynolds numbers in the range 15,000–50,000. The temporal dynamic range of the burst-mode PIV measurement is 1200, limited by the 85-ms high-energy portion of the burst and 30-kHz high-frequency noise limit.
      PubDate: 2016-11-25
      DOI: 10.1007/s00348-016-2279-5
      Issue No: Vol. 57, No. 12 (2016)
  • Multipoint temperature measurements in gas flows using 1-D laser-induced
           grating scattering
    • Authors: Christopher Willman; Paul Ewart
      Abstract: Abstract A technique is reported for simultaneous, time- and space-resolved measurements of temperature using laser-induced thermal grating scattering, LITGS, from four points on a 1-D line. Signals from four separate points on the line, separated by 1 mm, in toluene-seeded nitrogen flows, were imaged onto a fibre-optic array and delivered to separate photodiode detectors to record their temporal evolution from which the temperatures at each point were derived with a spatial resolution of 1 mm and a precision of 0.7% at atmospheric pressure. Effects of variation of composition on the accuracy of the measurements were compensated by a calibration method providing good agreement with values inferred from thermocouple measurements. Temperature gradients at the boundary between parallel gas flows and at the surface of hot and cold surfaces were measured with a resolution of 5 K mm−1. Extension of the technique to more measurement points and improvements in spatial resolution are briefly discussed.
      PubDate: 2016-11-22
      DOI: 10.1007/s00348-016-2282-x
      Issue No: Vol. 57, No. 12 (2016)
  • Portable tomographic PIV measurements of swimming shelled Antarctic
    • Authors: Deepak Adhikari; Donald R. Webster; Jeannette Yen
      Abstract: Abstract A portable tomographic particle image velocimetry (tomographic PIV) system is described. The system was successfully deployed in Antarctica to study shelled Antarctic pteropods (Limacina helicina antarctica)—a delicate organism with an unusual propulsion mechanism. The experimental setup consists of a free-standing frame assembled with optical rails, thus avoiding the need for heavy and bulky equipment (e.g. an optical table). The cameras, lasers, optics, and tanks are all rigidly supported within the frame assembly. The results indicate that the pteropods flap their parapodia (or “wings”) downward during both power and recovery strokes, which is facilitated by the pitching of their shell. Shell pitching significantly alters the flapping trajectory, allowing the pteropod to move vertically and/or horizontally. The pronation and supination of the parapodia, together with the figure-eight motion during flapping, suggest similarities with insect flight. The volumetric velocity field surrounding the freely swimming pteropod reveals the generation of an attached vortex ring connecting the leading-edge vortex to the trailing-edge vortex during power stroke and a presence of a leading-edge vortex during recovery stroke. These vortex structures play a major role in accelerating the organism vertically and indicate that forces generated on the parapodia during flapping constitute both lift and drag. After completing each stroke, two vortex rings are shed into the wake of the pteropod. The complex combination of body kinematics (parapodia flapping, shell pitch, sawtooth trajectory), flow structures, and resulting force balance may be significantly altered by thinning of the pteropod shell, thus making pteropods an indicator of the detrimental effects of ocean acidification.
      PubDate: 2016-11-19
      DOI: 10.1007/s00348-016-2269-7
      Issue No: Vol. 57, No. 12 (2016)
  • Boundary layer characterization and acoustic measurements of flow-aligned
           trailing edge serrations
    • Authors: Carlos Arce León; Roberto Merino-Martínez; Daniele Ragni; Francesco Avallone; Mirjam Snellen
      Abstract: Abstract Trailing edge serrations designed to reduce airfoil self-noise are retrofitted on a NACA 0018 airfoil. An investigation of the boundary layer flow statistical properties is performed using time-resolved stereoscopic PIV. Three streamwise locations over the edge of the serrations are compared. An analysis of the results indicates that, while there is no upstream effect, the flow experiences significant changes as it convects over the serrations and toward its edges. Among the most important, a reduced shear stress and modifications of the turbulence spectra suggest beneficial changes in the unsteady surface pressure that would result in a reduction of trailing edge noise. Microphone array measurements are additionally performed to confirm that noise reduction is indeed observed by the application of the chosen serration design over the unmodified airfoil.
      PubDate: 2016-11-19
      DOI: 10.1007/s00348-016-2272-z
      Issue No: Vol. 57, No. 12 (2016)
  • Modelling droplet collision outcomes for different substances and
    • Authors: Martin Sommerfeld; Matthias Kuschel
      Abstract: Abstract The main objective of the present study is the derivation of models describing the outcome of binary droplet collisions for a wide range of dynamic viscosities in the well-known collision maps (i.e. normalised lateral droplet displacement at collision, called impact parameter, versus collision Weber number). Previous studies by Kuschel and Sommerfeld (Exp Fluids 54:1440, 2013) for different solution droplets having a range of solids contents and hence dynamic viscosities (here between 1 and 60 mPa s) revealed that the locations of the triple point (i.e. coincidence of bouncing, stretching separation and coalescence) and the critical Weber number (i.e. condition for the transition from coalescence to separation for head-on collisions) show a clear dependence on dynamic viscosity. In order to extend these findings also to pure liquids and to provide a broader data basis for modelling the viscosity effect, additional binary collision experiments were conducted for different alcohols (viscosity range 1.2–15.9 mPa s) and the FVA1 reference oil at different temperatures (viscosity range 3.0–28.2 mPa s). The droplet size for the series of alcohols was around 365 and 385 µm for the FVA1 reference oil, in each case with fixed diameter ratio at Δ= 1. The relative velocity between the droplets was varied in the range 0.5–3.5 m/s, yielding maximum Weber numbers of around 180. Individual binary droplet collisions with defined conditions were generated by two droplet chains each produced by vibrating orifice droplet generators. For recording droplet motion and the binary collision process with good spatial and temporal resolution high-speed shadow imaging was employed. The results for varied relative velocity and impact angle were assembled in impact parameter–Weber number maps. With increasing dynamic viscosity a characteristic displacement of the regimes for the different collision scenarios was also observed for pure liquids similar to that observed for solutions. This displacement could be described on a physical basis using the similarity number and structure parameter K which was obtained through flow process evaluation and optimal proportioning of momentum and energy by Naue and Bärwolff (Transportprozesse in Fluiden. Deutscher Verlag für Grundstoffindustrie GmbH, Leipzig 1992). Two correlations including the structure parameter K could be derived which describe the location of the triple point and the critical We number. All fluids considered, pure liquids and solutions, are very well fitted by these physically based correlations. The boundary model of Jiang et al. (J Fluid Mech 234:171–190, 1992) for distinguishing between coalescence and stretching separation could be adapted to go through the triple point by the two involved model parameters C a and C b, which were correlated with the relaxation velocity \( u_{\text{relax}} = {\sigma \mathord{\left/ {\vphantom {\sigma \mu }} \right. \kern-0pt} \mu } \) . Based on the predicted critical Weber number, denoting the onset of reflexive separation, the model of Ashgriz and Poo (J Fluid Mech 221:183–204, 1990) was adapted accordingly. The proper performance of the new generalised models was validated based on the present and previous measurements for a wide range of dynamic viscosities (i.e. 1–60 mPa s) and liquid properties. Although the model for the lower boundary of bouncing (Estrade et al. in J Heat Fluid Flow 20:486–491, 1999) could be adapted through the shape factor, it was found not suitable for the entire range of Weber numbers and viscosities.
      PubDate: 2016-11-19
      DOI: 10.1007/s00348-016-2249-y
      Issue No: Vol. 57, No. 12 (2016)
  • Generating and controlling homogeneous air turbulence using random jet
    • Authors: Douglas Carter; Alec Petersen; Omid Amili; Filippo Coletti
      Abstract: Abstract The use of random jet arrays, already employed in water tank facilities to generate zero-mean-flow homogeneous turbulence, is extended to air as a working fluid. A novel facility is introduced that uses two facing arrays of individually controlled jets (256 in total) to force steady homogeneous turbulence with negligible mean flow, shear, and strain. Quasi-synthetic jet pumps are created by expanding pressurized air through small straight nozzles and are actuated by fast-response low-voltage solenoid valves. Velocity fields, two-point correlations, energy spectra, and second-order structure functions are obtained from 2D PIV and are used to characterize the turbulence from the integral-to-the Kolmogorov scales. Several metrics are defined to quantify how well zero-mean-flow homogeneous turbulence is approximated for a wide range of forcing and geometric parameters. With increasing jet firing time duration, both the velocity fluctuations and the integral length scales are augmented and therefore the Reynolds number is increased. We reach a Taylor-microscale Reynolds number of 470, a large-scale Reynolds number of 74,000, and an integral-to-Kolmogorov length scale ratio of 680. The volume of the present homogeneous turbulence, the largest reported to date in a zero-mean-flow facility, is much larger than the integral length scale, allowing for the natural development of the energy cascade. The turbulence is found to be anisotropic irrespective of the distance between the jet arrays. Fine grids placed in front of the jets are effective at modulating the turbulence, reducing both velocity fluctuations and integral scales. Varying the jet-to-jet spacing within each array has no effect on the integral length scale, suggesting that this is dictated by the length scale of the jets.
      PubDate: 2016-11-19
      DOI: 10.1007/s00348-016-2281-y
      Issue No: Vol. 57, No. 12 (2016)
  • Temperature measurements of micro-droplets using pulsed 2-color
           laser-induced fluorescence with MDR-enhanced energy transfer
    • Authors: Johannes Palmer; Manuel A. Reddemann; Valeri Kirsch; Reinhold Kneer
      Abstract: Abstract In this work, a new measurement system is presented for studying temperature of micro-droplets by pulsed 2-color laser-induced fluorescence. Pulsed fluorescence excitation allows motion blur suppression and thus simultaneous measurements of droplet size, velocity and temperature. However, high excitation intensities of pulsed lasers lead to morphology-dependent resonances inside micro-droplets, which are accompanied by disruptive stimulated emission. Investigations showed that stimulated emission can be avoided by enhanced energy transfer via an additional dye. The suitability and accuracy of the new pulsed method are verified on the basis of a spectroscopic analysis and comparison to continuously excited 2-color laser-induced fluorescence.
      PubDate: 2016-11-19
      DOI: 10.1007/s00348-016-2253-2
      Issue No: Vol. 57, No. 12 (2016)
  • Application of short-range dual-Doppler lidars to evaluate the coherence
           of turbulence
    • Authors: Etienne Cheynet; Jasna Bogunović Jakobsen; Jónas Snæbjörnsson; Torben Mikkelsen; Mikael Sjöholm; Jakob Mann; Per Hansen; Nikolas Angelou; Benny Svardal
      Abstract: Abstract Two synchronized continuous wave scanning lidars are used to study the coherence of the along-wind and across-wind velocity components. The goal is to evaluate the potential of the lidar technology for application in wind engineering. The wind lidars were installed on the Lysefjord Bridge during four days in May 2014 to monitor the wind field in the horizontal plane upstream of the bridge deck. Wind records obtained by five sonic anemometers mounted on the West side of the bridge are used as reference data. Single- and two-point statistics of wind turbulence are studied, with special emphasis on the root-coherence and the co-coherence of turbulence. A four-parameter decaying exponential function has been fitted to the measured co-coherence, and a good agreement is observed between data obtained by the sonic anemometers and the lidars. The root-coherence of turbulence is compared to theoretical models. The analytical predictions agree rather well with the measured coherence for the along-wind component. For increasing wavenumbers, larger discrepancies are, however, noticeable between the measured coherence and the theoretical predictions. The WindScanners are observed to slightly overestimate the integral length scales, which could not be explained by the laser beam averaging effect alone. On the other hand, the spatial averaging effect does not seem to have any significant effect on the coherence.
      PubDate: 2016-11-19
      DOI: 10.1007/s00348-016-2275-9
      Issue No: Vol. 57, No. 12 (2016)
  • Pulsatile flow in a compliant stenosed asymmetric model
    • Authors: Abdullah Y. Usmani; K. Muralidhar
      Abstract: Abstract Time-varying velocity field in an asymmetric constricted tube is experimentally studied using a two-dimensional particle image velocimetry system. The geometry resembles a vascular disease which is characterized by arterial narrowing due to plaque deposition. The present study compares the nature of flow patterns in rigid and compliant asymmetric constricted tubes for a range of dimensionless parameters appearing in a human artery. A blood analogue fluid is employed along with a pump that mimics cardioflow conditions. The peak Reynolds number range is Re ~ 300–800, while the Womersley number range considered in experiments is Wo ~ 6–8. These values are based on the peak velocity in a straight rigid tube connected to the model, over a pulsation frequency range of 1.2–2.4 Hz. The medial-plane velocity distribution is used to investigate the nature of flow patterns. Temporal distribution of stream traces and hemodynamic factors including WSS, TAWSS and OSI at important phases of the pulsation cycle are discussed. The flow patterns obtained from PIV are compared to a limited extent against numerical simulation. Results show that the region downstream of the constriction is characterized by a high-velocity jet at the throat, while a recirculation zone, attached to the wall, evolves in time. Compliant models reveal large flow disturbances upstream during the retrograde flow. Wall shear stress values are lower in a compliant model as compared to the rigid. Cross-plane flow structures normal to the main flow direction are visible at select phases of the cycle. Positive values of largest Lyapunov exponent are realized for wall movement and are indicative of chaotic motion transferred from the flow to the wall. These exponents increase with Reynolds number as well as compliance. Period doubling is observed in wall displacement of highly compliant models, indicating possible triggering of hemodynamic events in a real artery that may cause fissure in the plaque deposits.
      PubDate: 2016-11-19
      DOI: 10.1007/s00348-016-2274-x
      Issue No: Vol. 57, No. 12 (2016)
  • Void waves propagating in the bubbly two-phase turbulent boundary layer
           beneath a flat-bottom model ship during drag reduction
    • Authors: Hyun Jin Park; Yoshihiko Oishi; Yuji Tasaka; Yuichi Murai
      Abstract: Abstract The injection of bubbles into a turbulent boundary layer can reduce the skin friction of a wall. Conventionally, the drag reduction rate is evaluated using time-averaged quantities of the mean gas flow rate or mean void fraction. Actually, as bubbles are subject to strong shear stresses near the wall, void waves and local bubble clusters appear. For pipe and channel flows, such wave-like behavior of the dispersed phase has been investigated intensely as an internal two-phase flow problem. We investigate how this wavy structure forms within the boundary layer as an external spatially developing two-phase flow along a horizontal flat plate. We describe how our model ship is designed to meet that purpose and report bubble-traveling behavior that accompanies unexpectedly strong wavy oscillations in the streamwise direction. A theoretical explanation based on a simplified two-fluid model is given to support this experimental fact, which suggests that void waves naturally stand out when drag reduction is enhanced through the local spatial gradient of the void fraction.
      PubDate: 2016-11-19
      DOI: 10.1007/s00348-016-2268-8
      Issue No: Vol. 57, No. 12 (2016)
  • HFSB-seeding for large-scale tomographic PIV in wind tunnels
    • Authors: Giuseppe Carlo Alp Caridi; Daniele Ragni; Andrea Sciacchitano; Fulvio Scarano
      Abstract: Abstract A new system for large-scale tomographic particle image velocimetry in low-speed wind tunnels is presented. The system relies upon the use of sub-millimetre helium-filled soap bubbles as flow tracers, which scatter light with intensity several orders of magnitude higher than micron-sized droplets. With respect to a single bubble generator, the system increases the rate of bubbles emission by means of transient accumulation and rapid release. The governing parameters of the system are identified and discussed, namely the bubbles production rate, the accumulation and release times, the size of the bubble injector and its location with respect to the wind tunnel contraction. The relations between the above parameters, the resulting spatial concentration of tracers and measurement of dynamic spatial range are obtained and discussed. Large-scale experiments are carried out in a large low-speed wind tunnel with 2.85 × 2.85 m2 test section, where a vertical axis wind turbine of 1 m diameter is operated. Time-resolved tomographic PIV measurements are taken over a measurement volume of 40 × 20 × 15 cm3, allowing the quantitative analysis of the tip-vortex structure and dynamical evolution.
      PubDate: 2016-11-19
      DOI: 10.1007/s00348-016-2277-7
      Issue No: Vol. 57, No. 12 (2016)
  • Superhydrophobic drag reduction in laminar flows: a critical review
    • Authors: Choongyeop Lee; Chang-Hwan Choi; Chang-Jin Kim
      Abstract: Abstract A gas in between micro- or nanostructures on a submerged superhydrophobic (SHPo) surface allows the liquid on the structures to flow with an effective slip. If large enough, this slippage may entail a drag reduction appreciable for many flow systems. However, the large discrepancies among the slippage levels reported in the literature have led to a widespread misunderstanding on the drag-reducing ability of SHPo surfaces. Today we know that the amount of slip, generally quantified with a slip length, is mainly determined by the structural features of SHPo surfaces, such as the pitch, solid fraction, and pattern type, and further affected by secondary factors, such as the state of the liquid–gas interface. Reviewing the experimental data of laminar flows in the literature comprehensively and comparing them with the theoretical predictions, we provide a global picture of the liquid slip on structured surfaces to assist in rational design of SHPo surfaces for drag reduction. Because the trapped gas, called plastron, vanishes along with its slippage effect in most application conditions, lastly we discuss the recent efforts to prevent its loss. This review is limited to laminar flows, for which the SHPo drag reduction is reasonably well understood.
      PubDate: 2016-11-19
      DOI: 10.1007/s00348-016-2264-z
      Issue No: Vol. 57, No. 12 (2016)
  • Simultaneous PSP and TSP measurements of transient flow in a long-duration
           hypersonic tunnel
    • Authors: Di Peng; Lingrui Jiao; Zhijun Sun; Yunsong Gu; Yingzheng Liu
      Abstract: Abstract The current work presents simultaneous measurements of transient flow using fast-responding pressure- and temperature-sensitive paints in a long-duration hypersonic tunnel; the pressure, temperature and heat flux fields were obtained on a standard model (HB-2) at Ma = 5. Fast PSP and TSP were applied symmetrically on the model with low thermal conductivity. Both coatings were illuminated by a UV-LED, and unsteady pressure and temperature data were recorded at 500 Hz using a high-speed camera. Time-dependent temperature correction was applied on the PSP data based on the TSP results, while the heat flux was calculated from the time-resolved temperature fields using a 1D semi-finite heat conduction model. The temperature-induced errors in PSP data were effectively removed by the current compensation method. The pressure and heat flux results showed good agreement with the reference data from previous studies. The key events throughout the hypersonic tunnel run were captured by the unsteady PSP/TSP data, including the tunnel start-up, the flow build-up, the steady flow period and the tunnel shutdown. The differences caused by the change of attack angle were also clearly recognized. The current PSP/TSP system has shown great potential for unsteady flow diagnostics in hypersonic flows.
      PubDate: 2016-11-19
      DOI: 10.1007/s00348-016-2280-z
      Issue No: Vol. 57, No. 12 (2016)
  • Optical-flow-based background-oriented schlieren technique for measuring a
           laser-induced underwater shock wave
    • Authors: Keisuke Hayasaka; Yoshiyuki Tagawa; Tianshu Liu; Masaharu Kameda
      Abstract: Abstract The background-oriented schlieren (BOS) technique with the physics-based optical flow method (OF-BOS) is developed for measuring the pressure field of a laser-induced underwater shock wave. Compared to BOS with the conventional cross-correlation method that is also applied for particle image velocimetry (here called PIV-BOS), by using the OF-BOS, the displacement field generated by a small density gradient in water can be obtained at the spatial resolution of one vector per pixel. The corresponding density and pressure fields can be further extracted. It is demonstrated in particular that the sufficiently high spatial resolution of the extracted displacement vector field is required in the tomographic reconstruction to correctly infer the pressure field of the spherical underwater shock wave. The capability of the OF-BOS method is critically evaluated based on synchronized hydrophone measurements. Special emphasis is placed on direct comparison between the OF-BOS and PIV-BOS methods.
      PubDate: 2016-11-19
      DOI: 10.1007/s00348-016-2271-0
      Issue No: Vol. 57, No. 12 (2016)
  • A molecular Rayleigh scattering setup to measure density fluctuations in
           thermal boundary layers
    • Authors: J. Panda
      Abstract: Abstract A Rayleigh scattering-based density fluctuation measurement system was set up inside a low-speed wind tunnel of NASA Ames Research Center. The immediate goal was to study the thermal boundary layer on a heated flat plate. A large number of obstacles had to be overcome to set up the system, such as the removal of dust particles using air filters, the use of photoelectron counting electronics to measure low intensity light, an optical layout to minimize stray light contamination, the reduction in tunnel vibration, and an expanded calibration process to relate photoelectron arrival rate to air density close to the plate surface. To measure spectra of turbulent density fluctuations, a two-PMT cross-correlation system was used to minimize the shot noise floor. To validate the Rayleigh measurements, temperature fluctuations spectra were calculated from density spectra and then compared with temperature spectra measured with a cold-wire probe operated in constant current mode. The spectra from the downstream half of the plate were found to be in good agreement with cold-wire probe, whereas spectra from the leading edge differed. Various lessons learnt are discussed. It is believed that the present effort is the first measurement of density fluctuations spectra in a boundary layer flow.
      PubDate: 2016-11-19
      DOI: 10.1007/s00348-016-2267-9
      Issue No: Vol. 57, No. 12 (2016)
  • Flow field interactions between two tandem cyclists
    • Authors: Nathan Barry; David Burton; John Sheridan; Mark Thompson; Nicholas A. T. Brown
      Abstract: Abstract Aerodynamic drag is the primary resistive force acting on cyclists at racing speeds. Many events involve cyclists travelling in very close proximity. Previous studies have shown that interactions result in significant drag reductions for inline cyclists. However, the interaction between cyclist leg position (pedalling) and the vortical flow structures that contribute significantly to the drag on an isolated cyclist has not previously been quantified or described for tandem cyclists of varying separation. To this end, scale model cyclists were constructed for testing in a water channel for inline tandem configurations. Particle image velocimetry was used to capture time-averaged velocity fields around two tandem cyclists. Perhaps surprisingly, the wake of a trailing cyclist maintains strong similarity to the characteristic wake of a single cyclist despite a significant disturbance to the upstream flow. Together with streamwise velocity measurements through the wake and upstream of the trailing cyclist, this work supports previous findings, which showed that the trailing cyclist drag reduction is primarily due to upstream sheltering effects reducing the stagnation pressure on forward-facing surfaces.
      PubDate: 2016-11-19
      DOI: 10.1007/s00348-016-2273-y
      Issue No: Vol. 57, No. 12 (2016)
  • Analysis of the filtering effect of the stochastic estimation and accuracy
           improvement by sensor location optimization
    • Authors: A. Arnault; J. Dandois; J.-C. Monnier; J. Delva; J.-M. Foucaut
      Abstract: Abstract The reconstruction of the flow behind a backward-facing step at a Reynolds number of 60,000 using linear stochastic estimation (LSE) and modified LSE (with or without multi-time-delay) is investigated. In particular, the turbulent spatial integral length scales estimated for several sensor configurations are studied. The estimation of the proper orthogonal decomposition (POD) modes is also performed in order to show the limitations of the SE for complex flows, for which taking into account only a few POD modes may not be enough to represent the flow dynamics. The importance of the sensor locations on the estimation is also emphasized, and the opportunity to use a sensor location optimization algorithm is investigated.
      PubDate: 2016-11-19
      DOI: 10.1007/s00348-016-2276-8
      Issue No: Vol. 57, No. 12 (2016)
  • Application of X-ray micro-computed tomography on high-speed cavitating
           diesel fuel flows
    • Authors: N. Mitroglou; M. Lorenzi; M. Santini; M. Gavaises
      Abstract: Abstract The flow inside a purpose built enlarged single-orifice nozzle replica is quantified using time-averaged X-ray micro-computed tomography (micro-CT) and high-speed shadowgraphy. Results have been obtained at Reynolds and cavitation numbers similar to those of real-size injectors. Good agreement for the cavitation extent inside the orifice is found between the micro-CT and the corresponding temporal mean 2D cavitation image, as captured by the high-speed camera. However, the internal 3D structure of the developing cavitation cloud reveals a hollow vapour cloud ring formed at the hole entrance and extending only at the lower part of the hole due to the asymmetric flow entry. Moreover, the cavitation volume fraction exhibits a significant gradient along the orifice volume. The cavitation number and the needle valve lift seem to be the most influential operating parameters, while the Reynolds number seems to have only small effect for the range of values tested. Overall, the study demonstrates that use of micro-CT can be a reliable tool for cavitation in nozzle orifices operating under nominal steady-state conditions.
      PubDate: 2016-11-04
      DOI: 10.1007/s00348-016-2256-z
      Issue No: Vol. 57, No. 11 (2016)
  • Double-frame 3D-PTV using a tomographic predictor
    • Authors: Thomas Fuchs; Rainer Hain; Christian J. Kähler
      Abstract: Abstract Thanks to the technological progress, 3D velocimetry techniques are becoming more popular. In particular, the time-resolved flow analysis by means of particle tracking is very attractive. Compared to double-frame recordings, higher seeding concentrations are feasible, yielding high spatial resolution results without bias errors due to strong velocity gradients. However, hardware restrictions still limit time-resolved measurements to rather small flow velocities and low magnifications. In aerodynamics, especially, this is a drawback, since often higher flow velocities are of interest. To conduct reliable 3D-PTV measurements from double-frame recordings, the well-established techniques tomographic particle imaging and 3D-PTV are employed for a novel processing approach. In this combined approach, the tomographic reconstruction is used as a predictor for the sensor locations of the corresponding particle images of the reconstructed particles. Furthermore, the reconstruction helps to identify and reject non-corresponding sets of particle images, reducing the amount of ghost particles to a minimum. A probabilistic tracking algorithm is then applied to estimate the flow field.
      PubDate: 2016-10-24
      DOI: 10.1007/s00348-016-2247-0
      Issue No: Vol. 57, No. 11 (2016)
School of Mathematical and Computer Sciences
Heriot-Watt University
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