Title page for etd-0705118-232810


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URN etd-0705118-232810
Author Tsung-hsien Yu
Author's Email Address No Public.
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Department Mechanical and Electro-Mechanical Engineering
Year 2017
Semester 2
Degree Master
Type of Document
Language English
Title A hybrid LB-DPM method to predict collection efficiency of woven screens for microparticles and nanoparticles
Date of Defense 2018-07-24
Page Count 67
Keyword
  • screen collection efficiency
  • microparticle
  • lattice Boltzmann-discrete phase model
  • woven wire screen
  • nanoparticle
  • Abstract The present study uses a 2D hybrid lattice Boltzmann-discrete phase model method to predict screen collection efficiency in woven wire screen. The computational results are used to compare with published experimental data that have not been computationally verified in the literature. The filtration processes are investigated for particles that are micron (0.3-100 μm) and nanometer (3-20 nm) in size. This thesis is composed of two subjects. The first study analyzes the filtration of microparticles at gas flow velocities of 0.48 cm/s via mesh screens with five different pore sizes in the range of 11-160 μm. The second study investigates the filtration of nanoparticles via stainless steel mesh screen with a pore size of 126 μm, where the filtration process is conducted with gas flow velocities of 4.17, 5.63 and 7.04 cm/s. Besides, the thermal effect on the filtration performance is revealed in the second study by varying the gas temperature (296K, 400K and 500K). For these two subjects, the computational domain contains a circular fiber that represents the cross-section of a semi-infinite fiber array. In order to simulate the 3-D woven screen structures, several 2-D models are proposed using different physical specifications of mesh screens including open area, pore size and packing density. The results show that the data predicted with a modified pore-size-based model are able to show excellent agreement with experiments. In addition, the particle distributions along the fiber surface are used to estimate the particle capture mechanisms together with the deposition patterns in the corresponding operational conditions.
    Advisory Committee
  • Sheng-Yen Hsu - chair
  • Chien-Chou Tseng - co-chair
  • Sheng-Lun Lin - co-chair
  • Chien-Hsiung Tsai - co-chair
  • Kuang C. Lin - advisor
  • Files
  • etd-0705118-232810.pdf
  • Indicate in-campus at 5 year and off-campus access at 5 year.
    Date of Submission 2018-08-06

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