Results 151 to 160 of about 343 (225)

Comparison of modelling approaches for liquid fluidized beds

The 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, Furkhat Khamitov, Olli H. Sorvari, Ville Alopaeus   +3 more
wiley   +1 more source

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

The 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, Alice Villette, Seyed Mohammad Taghavi   +2 more
wiley   +1 more source

COMPARATIVISTICS OF THE DIGITALIZATION OF CIVIL PROCEEDINGS IN THE RUSSIAN FEDERATION, THE UNITED STATES OF AMERICA AND THE FEDERAL REPUBLIC OF GERMANY

Moscow University Bulletin of them SY Witte Series 2 Legal science, 2021
openaire   +1 more source

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

The 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, Muhammad Ishtiaq Ali, Rameesha Abid, Anab Mujtaba, Rabia Asghar, Asif Jamal, Yusuf Tutar, Ahsan Habib, Fakhraddin Yusubov   +8 more
wiley   +1 more source

Gibbs energy minimization thermodynamics for CO2 capture by aqueous amines: Conservation laws, concentration variables, and parameter consistency

The Canadian Journal of Chemical Engineering, EarlyView.
We clarify how Gibbs‐energy‐minimization models for aqueous‐amine CO2 capture fail when conservation constraints and concentration conventions are inconsistent. Exact standard‐state conversions and Reaktoro case studies show that P(CO2)‐loading fits can mask non‐unique parameters and wrong speciation, motivating complete water‐inclusive formulations ...
William R. Smith, William Rutherford, Allan M. M. Leal   +2 more
wiley   +1 more source

Introducing a Chatbot to Support Victim-Survivors of Domestic Abuse: Victim-Survivor Perspectives. [PDF]

Violence Against Women
Lombard N, Butterby K, Mielismäki H, Vicente-García R, Pérez-Martínez V.   +4 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

The 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, Lawrence Koech, Douw Faurie, Khanyisile Lepota   +3 more
wiley   +1 more source

Electrical resistance tomography for process intensification of gas–liquid stirred tanks: A comparison of linear back projection and sensitivity conjugate gradient algorithms

The Canadian Journal of Chemical Engineering, EarlyView.
Monitoring gas–liquid dynamics using Electrical resistance tomography for process intensification in stirred tanks Abstract Electrical resistance tomography (ERT) is a non‐invasive technique widely applied to the study of multiphase flows, where phases exhibit different electrical properties.
Federico Alberini, Giuseppina Montante, Alessandro Paglianti   +2 more
wiley   +1 more source

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

The Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin, Clémence Fauteux‐Lefebvre, Jules Thibault   +2 more
wiley   +1 more source