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Arun S. Mujumdar
Researcher at McGill University
Publications - 876
Citations - 34051
Arun S. Mujumdar is an academic researcher from McGill University. The author has contributed to research in topics: Heat transfer & Chemistry. The author has an hindex of 84, co-authored 779 publications receiving 28735 citations. Previous affiliations of Arun S. Mujumdar include University of Queensland & Jiangsu University.
Papers
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Preparation and characterization of sustained release pirfenidone loaded microparticles for pulmonary drug delivery: Spray drying approach
TL;DR: In this article, the authors used Eudragit RS 1 for the preparation of sustained release microparticles of Pirfenidone (PFD) for the treatment of idiopathic pulmonary fibrosis.
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Highly swirling transient flows in spray dryers and consequent effect on modeling of particle deposition
Meng Wai Woo,Meng Wai Woo,Liming Che,Wan Ramli Wan Daud,Arun S. Mujumdar,Xiao Dong Chen,Xiao Dong Chen +6 more
TL;DR: In this paper, a spray dryer fitted with a rotary disc atomizer was used to experimentally assess the highly swirling flow characteristics in spray dryers fitted with an atomizer, and the numerical simulation captured key features of the flow field.
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R&D Needs and Opportunities in Pulse Combustion and Pulse Combustion Drying
Wu Zhonghua,Arun S. Mujumdar +1 more
TL;DR: In this paper, the authors summarize briefly the authors' opinions on R&D needs and opportunities for basic as well as applied research in pulse combustion and pulse combustion drying, and make minimal citations to relevant literature as readers interested in proactively pursuing this area can locate it reasonably easily.
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Three-Dimensional Analysis of Flow and Mixing Characteristics of a Novel In-Line Opposing-Jet Mixer
S. J. Wang,Arun S. Mujumdar +1 more
TL;DR: In this paper, the flow and mixing characteristics of three-dimensional confined turbulent round opposing jets in a novel in-line mixer were examined numerically, using air as the working fluid.
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Hybrid phenomenological/ANN-PSO modelling of a deformable material in spouted bed drying process
Yago Matheus da Silva Veloso,Marcello Maia de Almeida,Odélsia Leonor Sanchez de Alsina,M. L. Passos,Arun S. Mujumdar,Manuela Souza Leite +5 more
TL;DR: In this paper, an artificial neural network (ANN) model was coupled with a phenomenological one to describe the heat and mass transfer during the drying of these materials, specifically of guava pieces, in a spouted bed dryer.