Results 101 to 110 of about 293 (192)

Comparison of modelling approaches for liquid fluidized beds

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study presents a comparison of three promising numerical models for the detailed simulation of liquid–solid fluidized bed. These models differ in their treatment of the solid phase, ranging from treating each particle individually to treating the collection of particles as a continuum.
Andreu Bernad‐Serra   +3 more
wiley   +1 more source

Comparative assessment of volume‐of‐fluid (VOF) multiphase solvers for viscoplastic flow over grooved patterned surfaces

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract Accurately simulating multiphase flows at low capillary numbers remains challenging due to spurious currents and interface discretization errors. We present a systematic comparison of four volume‐of‐fluid (VOF) solvers within the OpenFOAM framework for pressure‐driven Poiseuille–Bingham flow over grooved surfaces: interFoam with classical ...
Amir Joulaei   +2 more
wiley   +1 more source

Development of a sustainable water treatment process using biochar as substrate for filtration and coliform removal

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Preparation, modification, and characterization of biochar from woodchips and its application in stream water filtration, evaluated through physicochemical and microbiological analyses. Abstract Global microbial water contamination affects 1.8 billion people, necessitating efficient and sustainable treatment methods.
Tariq Khalil   +8 more
wiley   +1 more source

Editorial: Constructing objectivity: emotions in legal decision-making. [PDF]

open access: yesFront Sociol
Johansen LV   +3 more
europepmc   +1 more source

Global healthcare fairness: We should be sharing more, not less, data. [PDF]

open access: yesPLOS Digit Health, 2022
Seastedt KP   +10 more
europepmc   +1 more source

Application of artificial neural network and general machine learning modelling on CO2 adsorption in moisture equilibrated South African high and medium rank coals

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study investigates the effect of moisture on CO2 adsorption in South African coals using both experimental and machine learning approaches. Three coal samples (SL, TN, and EM) with varying ranks (RoVmr: 3.49%, 1.26%, and 0.64%, respectively) were collected from different regions of South Africa.
Kasturie Premlall   +3 more
wiley   +1 more source

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