Characterization of oscillation modes in levitated droplets using image and non-image based techniques

被引:2
|
作者
Brosius, Nevin [1 ]
Livesay, Jason [1 ]
Karpinski, Zachary [1 ]
Singiser, Robert [1 ]
SanSoucie, Michael [2 ]
Phillips, Brandon [2 ]
Narayanan, Ranga [1 ]
机构
[1] Univ Florida, Dept Chem Engn, Gainesville, FL 32611 USA
[2] NASA, Marshall Space Flight Ctr, Huntsville, AL 35812 USA
关键词
Compendex;
D O I
10.1038/s41526-023-00254-7
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The dynamics of levitated liquid droplets can be used to measure their thermophysical properties by correlating the frequencies at which normal modes of oscillation most strongly resonate when subject to an external oscillatory force. In two preliminary works, it was shown via electrostatic levitation and processing of various metals and alloys that (1) the resonance of the first principal mode of oscillation (mode n = 2) can be used to accurately measure surface tension and (2) that so-called "higher-order resonance" of n = 3 is observable at a predictable frequency. It was also shown, in the context of future space-based experimentation on the Electrostatic Levitation Furnace (ELF), a setup on the International Space Station (ISS) operated by Japan Aerospace Exploration Agency (JAXA), that while the shadow array method in which droplet behavior is visualized would be challenging to identify the n = 3 resonance, the normal mode n = 4 was predicted to be more easily identifiable. In this short communication, experimental evidence of the first three principal modes of oscillation is provided using molten samples of Tin and Indium and it is subsequently shown that, as predicted, an "image-less" approach can be used to identify both n = 2 and n = 4 resonances in levitated liquid droplets. This suggests that the shadow array method may be satisfactorily used to obtain a self-consistent benchmark of thermophysical properties by comparing results from two successive even-mode natural frequencies.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] Characterization of oscillation modes in levitated droplets using image and non-image based techniques
    Nevin Brosius
    Jason Livesay
    Zachary Karpinski
    Robert Singiser
    Michael SanSoucie
    Brandon Phillips
    Ranga Narayanan
    [J]. npj Microgravity, 9
  • [2] Wavelet transform based image processing techniques in non-image data sets
    Kourouniotis, FP
    Majumdar, AK
    [J]. OPTICAL INFORMATION SYSTEMS II, 2004, 5557 : 185 - 191
  • [3] USING OPTICAL DISK IN NON-IMAGE APPLICATIONS
    RAMSAY, NC
    [J]. OPTICAL INFORMATION SYSTEMS, 1988, 8 (04): : 164 - 168
  • [4] Perspectives on the fusion of image and non-image data
    Hall, DL
    [J]. 32ND APPLIED IMAGERY PATTERN RECOGNITION WORKSHOP, PROCEEDINGS, 2004, : 217 - 220
  • [5] Non-image Based Applications of Artificial Intelligence in Dermatology
    Levin, Nicole
    Schmidt, Charles E.
    Rajalingam, Karan
    Ghorishi, Alex
    Pincelli, Thais
    Erben, Young
    Sluzevich, Jason
    Murphree, Dennis, Jr.
    [J]. JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY, 2023, 89 (03) : AB68 - AB68
  • [6] NOISE ON NON-IMAGE AREAS IN ELECTROPHOTOGRAPHY
    BAUER, GT
    [J]. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA, 1972, 62 (11) : 1402 - 1402
  • [7] Cadastral mapping of Agricultural lands and Natural Resources by using image and non-image data
    Farzaneh, Ali
    [J]. 2010 CANADIAN GEOMATICS CONFERENCE AND SYMPOSIUM OF COMMISSION I, ISPRS CONVERGENCE IN GEOMATICS - SHAPING CANADA'S COMPETITIVE LANDSCAPE, 2010, 38
  • [8] DIAGNOSING BREAST MASSES USING ICA AND NON-IMAGE FEATURES
    Garcia-Manso, A.
    Gallardo-Caballero, R.
    Garcia-Orellana, C. J.
    Gonzalez-Velasco, H. M.
    Macias-Macias, M.
    [J]. NEURAL NETWORK WORLD, 2016, 26 (01) : 29 - 44
  • [9] Divergent outer retinal circuits drive image and non-image visual behaviors
    Beier, Corinne
    Bocchero, Ulisse
    Levy, Lior
    Zhang, Zhijing
    Jin, Nange
    Massey, Stephen C.
    Ribelayga, Christophe P.
    Martemyanov, Kirill
    Hattar, Samer
    Pahlberg, Johan
    [J]. CELL REPORTS, 2022, 39 (13):
  • [10] Chronobiology and Sleep, Non-Image Forming Aspects of Light
    Cajochen, Christian
    [J]. NEUROPSYCHOBIOLOGY, 2019, 78 (03) : 158 - 158