Results 181 to 190 of about 94,013 (306)

Thermal Injury Leading to Myocardial Perforation During Cavotricuspid Isthmus Ablation: A Case Report. [PDF]

Am J Case Rep
Sawasaki K, Hosoya N, Mutoh M.
europepmc   +1 more source

Production of middle distillates through olefin oligomerization using ZSM‐5 as a catalyst

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract The global transportation sector relies heavily on gasoline (C5–C12) and diesel (C11–C24), which together account for approximately 60% of its energy needs. Driven by rapid industrialization and urbanization, diesel consumption is outpacing gasoline, with projections estimating global demand by 2035 at 27 million barrels per day for gasoline ...
Thembekile Hoyi, Masikana Milan Mdleleni, Ntalane Sello Seroka, Lindiwe Khotseng   +3 more
wiley   +1 more source

Random forest regression for catalyst performance prediction and validation of tri‐reforming of methane (TRM)

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Carbon dioxide‐reduced hydrogen can be synthesized through various methods such as dry‐reforming (DRM), steam reforming (SMR), and partial oxidation (POX). Tri‐reforming of methane (TRM) is a promising technology which combines all the above‐mentioned processes for the simultaneous production of hydrogen and syngas with high energy efficiency.
Paulo A. L. de Souza, Raja Muhammad Afzal, Felipe Gomes Camacho, Nader Mahinpey   +3 more
wiley   +1 more source

Effect of different flue gas recirculation rates on low‐NOx combustion characteristics: A numerical simulation based on the combustion process of a gas boiler

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract NOx emissions from gas boilers severely impact the environment, and flue gas recirculation (FGR) technology can effectively reduce such emissions, yet the effects of different FGR rates on combustion performance and NOx formation remain unclear. This study thus used numerical simulation (via ANSYS Fluent, adopting the realizable k‐ε turbulence
Chao Min, Shuhao Xu, Yitao Yang, Peng Wang   +3 more
wiley   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

Predicting Transmural Lesion Formation and Steam-Pop Occurrence During Bipolar Ablation-Ex Vivo Porcine Model. [PDF]

J Arrhythm
Makimoto H, Kamioka M, Watanabe T, Watanabe H, Kakurai T, Suda N, Okuyama T, Yokota A, Komori T, Kabutoya T, Makimoto A, Imai Y, Kario K.   +12 more
europepmc   +1 more source

Beyond hydrogen: Process design of a biogas steam reformer for Fischer–Tropsch synthesis

The Canadian Journal of Chemical Engineering, EarlyView.
The effect of pressure and steam to carbon ratio on carbon conversion. Abstract We present an analysis of a pilot‐scale multi‐tubular biogas steam reforming reactor, part of a sustainable aviation fuel (SAF) development project in Brazil. The novelty of this work is the application of a new, validated power law kinetic model, specifically developed for
Rafael Belo Duarte, Rafael Dei Tós Barreto, João Lourenço Castagnari Willimann Pimenta, Luiz Mario de Matos Jorge   +3 more
wiley   +1 more source

A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao, Debaprasad Dutta, Simant R. Upreti   +2 more
wiley   +1 more source

Comprehensive 4E (energy, exergy, economic, and environmental) assessment of a repowered natural gas-fired combined power plant. [PDF]

Sci Rep
Boukelia TE, Bouhala A, Cheurfi Y, Bessaïh R, Tanougast A, Hriczó K.   +5 more
europepmc   +1 more source

In‐situ asphaltene capture with iron oxide nanoparticles in steam‐assisted gravity drainage (SAGD) for improved recovery and partial upgrading of bitumen

The Canadian Journal of Chemical Engineering, EarlyView.
Key improvements obtained by incorporating nanoparticles into a lab‐scale SAGD process configuration. The bar plots show enhanced oil recovery, reduced viscosity, and increased asphaltene adsorption in nanoparticle‐assisted scenarios compared with conventional SAGD.
Luis Prada, Saleh S. Baakeem, Mabkhot BinDahbag, M. Daniela Contreras‐Mateus, Jesus Botett, Afif Hethnawi, Nashaat N. Nassar   +6 more
wiley   +1 more source