Results 151 to 160 of about 1,442,979 (244)
Integral Experiments and Magnetic Resonance Imaging of Lab‐Scale Liquid Distributors
Four lab‐scale liquid distributors were evaluated based on the homogeneity of the resulting liquid distribution. The best‐performing design reduced maldistribution and wall flow compared to a single‐point liquid distribution and remained stable under varying operating conditions, including different gas and liquid loads.
Hannah S. Rennebaum +4 more
wiley +1 more source
Comparative Study of Gas and Liquid Flow in Packed Beds Using Phase‐Contrast MRI
This work presents applications of phase‐contrast magnetic resonance imaging (MRI) to investigate fluid flow fields and temperature in packed beds. Comparison of ethane (C2H6) gas flow with that of water flow is done at similar flow conditions. The temperature of water is also measured using MRI.
Maitreyi Sangal +4 more
wiley +1 more source
Noise shielding models for the conceptual design of unconventional aircraft
Air traffic growth and the expansion of urban areas around airports make the aviation community noise a key aspect of aircraft design. The analysis of innovative configurations is becoming activity of primary interest within the scientific community. The
Centracchio F. +3 more
core
Development and Validation of a Multipurpose Setup for Synthesis Gas Chemistry
Validation of a flexible multipurpose setup for synthesis gas reactions under industrially relevant conditions equipped with precise control of temperature, pressure, and gas composition, and multiple online detection methods (IR, GC, QMS, and RAMAN), demonstrated by successful operation of NH3 decomposition, MeOH synthesis, and NH3 synthesis ...
Jan Folke +4 more
wiley +1 more source
A nuclear technology that has been studied in recent years is related to water-cooled Small Modular Reactors (SMRs). For the development of methods for core monitoring and diagnostics, the analysis of reactor neutron noise has been shown to be effective ...
Demaziere, Christophe, +2 more
core +1 more source
Laminar Burning Velocity of Ammonia‐Hydrogen Mixtures Predicted by Machine Learning
Ammonia–hydrogen blends aid defossilization, but slow combustion kinetics require complex modeling. Although chemical kinetic modeling is computationally expensive, machine learning surrogates offer fast predictions. This study trained GPR, DT, and ANN models on 1445 experimental points.
Georg Klepp +2 more
wiley +1 more source
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 +2 more
wiley +1 more source
Performance change detection and recovery in inferential control loops
Abstract In most industrial environments, soft sensors are crucial for estimating variables that are hard to measure. It is critical that these variables be estimated quickly and accurately because they are closely linked to plant safety and profit. Therefore, performance drift in the soft sensors cannot be ignored.
Xuanhui Zhai, Yuri A. W. Shardt
wiley +1 more source
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 +2 more
wiley +1 more source
Noise Measurements in the MOATA Reactor
openaire +1 more source

