Nanoparticle and shape factor for improving solidification rate
Wenjie Zhang,
Ali Hosseini Taleghani,
M. Ayani,
Mohammed Reza Hajizadeh and
Houman Babazadeh
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Wenjie Zhang: College of Chemistry, Jilin University, Jilin Province, P. R. China
Ali Hosseini Taleghani: #x2020;Department of Biomedical Biological and Chemical Engineering, University of Missouri, Columbia, MO, USA
M. Ayani: #x2021;Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran
Mohammed Reza Hajizadeh: #xA7;Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam¶The Faculty of Environmental and Chemical Engineering, Duy Tan University, Da Nang 550000, Vietnam
Houman Babazadeh: #x2225;Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam**Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Vietnam
International Journal of Modern Physics C (IJMPC), 2020, vol. 31, issue 10, 1-15
Abstract:
The main aim of this paper is to examine the discharging process with insertion of wavy surface and changing shape of nanoparticles. Contours were presented in the form of contours and profiles of energy and temperatures. To get the acceptable accuracy, adaptive grid is employed and time steps for each iteration are variable. The outputs indicate that augmenting A and selection of platelet shape lead to a faster solidification. With augment of A, 14% reduction has been reported for (m=3). Such percentage augments with the rise of m and 14.03% reduction were reported for (m=5.7). At m=5.7, augmenting A from 0.1 to 0.3 makes the time to reduce from 44.16s to 37.96s. Lower level of energy was reported for platelet shapes, which means higher liquid fraction of domain. Temperature declines with augment of A and A=0.1 prolongs process of about 14.03% in the existence of platelet shape.
Keywords: Solidification; wavy wall; nanoparticle; FEM; adaptive mesh (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijmpcx:v:31:y:2020:i:10:n:s0129183120501417
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DOI: 10.1142/S0129183120501417
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