The Canadian Journal of Chemical Engineering, EarlyView ..read more

Abstract Modern industrial processes increasingly prioritize demands for safety and reliability, spurring substantial research on process monitoring models. Among existing research subjects, concurrent multimode operating conditions are vital for effective process monitoring. This work proposes an efficient dimensionality-reducing Gaussian mixture-based reconstruction approach for multimode industrial process monitoring. The t-SNE method is first employed to transform high-dimensional data into a lower-dimensional space that retains critical operational information. Using these reduced dimensi ..read more

Schematic physical diagram of the catalytic diesel particulate filter (CDPF) structure; CDPF passive regeneration at equilibrium point with different ash distribution; and CDPF active regeneration at equilibrium point with different ash distribution. Abstract Catalytic diesel particulate filters (CDPF) form the main post-processing devices for the diesel engines. Particulates trapped by CDPF can be oxidized by nitrogen dioxide (NO2) and oxygen (O2). The CDPF passive and active regeneration model on platinum-based catalyst in the presence of ash layer, including the mass, momentum, and enthal ..read more

Abstract Enhancing oil recovery (EOR) through water flooding methods, including smart water injection, low salinity water injection, polymer injection, and surfactant injection has become a pivotal strategy for enhancing productivity. Despite their promising outcomes, these methods often encounter challenges such as scaling formation and deposition, impacting reservoir permeability and production rates. A comprehensive understanding of scaling formation is crucial for effective implementation of these methods. This article explores various scaling types prevalent in the field, examining key pa ..read more

Abstract In order to study the changes in two-phase flow parameters after pipeline damage and the impact of gas injection on water leakage from damaged pipelines, experimental and simulation studies were conducted on the damaged pipelines. The main objective is to compare the void fraction in intact and damaged states and to investigate the factors influencing and variations in gas–liquid leakage flow rates. The results show that increasing the liquid superficial velocity can reduce the difference in void fraction distribution caused by different damage directions. The leakage flow rate is aff ..read more

Mass transfer and bubble distribution in non-Newtonian fluids. Abstract The performance of a stirred bioreactor was evaluated in this study in terms of the bubble hydrodynamics and the mass transfer efficiency, using a non-viscous Newtonian fluid of water, a viscous non-Newtonian fluid of xanthan, and a viscous non-Newtonian fluids of xanthan with dispersed soybean powder, respectively. The computational fluid dynamics–population balance model (CFD-PBM) method coupled with the viscosity model and the mass transfer model is established to simulate the gas–liquid mass transfer process and bubb ..read more

Abstract Motivated by studying emerging nanofluid-based magnetic fuel cells and hybrid direct absorber solar collectors, a numerical study is presented for buoyancy-driven flow in a vertical enclosure containing a porous medium saturated with magnetized nanofluid flow under a transverse static magnetic field. The enclosure features adiabatic side walls and vertical heat slits, ensuring consistent cold temperatures on the lower and upper bounded walls. The side walls of the regime are insulated, and the hot slits are centrally located on these walls. The finite difference method (FDM) is applie ..read more

Abstract Shale hydration and expansion during drilling can lead to wellbore instability, sticking, and frequent leakage accidents. To prevent these issues, an ionic liquid (IL) inhibitor solution was synthesized using DL-alanine and 98% concentrated sulphuric acid as raw materials. The optimum composition and effect of the synthesized inhibitor in oilfield water-based drilling fluids were evaluated through anti-expansion, linear expansion rate, water washing resistance, and clay hydration dispersion experiments. The inhibition mechanism was investigated by thermogravimetric analysis, infrared ..read more

Abstract The present work investigates the use of machine learning approaches for the prediction of hydrate formation pressure (HFP) in gas hydrate systems. Advanced machine learning models, including the decision tree regressor (DTR), random forest regressor (RFR), extreme gradient boosting (XGB), gradient boosting regressor (GBR), histogram gradient boosting regressor (HGBR), and CatBoost regressor (CB), are trained and evaluated on a large dataset consists of 3137 experimental data points. The models are evaluated using R-squared (R 2), mean squared error (MSE), mean absolute error (MAE ..read more

Abstract We have investigated the potential of three dielectric materials to meet the future demands of green dielectrics: Polycaprolactone (PCL) thermoplastic, polyvinyl alcohol (PVA)-carrageenan (CAR) crosslinked biopolymer, and boron nitride nanotubes (BNNTs) as a nano additive in PVA. Metal–insulator–metal (MIM) capacitors and organic thin film transistors (OTFT) were built with bilayer dielectric stacks of PVA-CAR, PVA-PCL, and PVA-BNNT materials to examine their electrical properties. The PVA-CAR layer uses a cyclic freeze thaw process to crosslink PVA and CAR for superior mechanical and ..read more