Results 231 to 240 of about 4,791 (276)

Application of Ultrasonic Sensors for Determining the Height of Dynamic Two‐Phase Layers in Tray Columns

open access: yesChemie Ingenieur Technik, EarlyView.
Ultrasonic sensors are evaluated for their applicability in dynamic gas–liquid systems. By comparing sensor data with two independent optical reference methods, their robustness and reliability are demonstrated under varying flow conditions and tray geometries in column systems.
Niklas Breuer   +2 more
wiley   +1 more source

Reverse Engineering and Performance Evaluation of a Pump Impeller Fabricated With Additive Manufacturing

open access: yesChemie Ingenieur Technik, EarlyView.
This study explores the process chain for reverse engineering and additive manufacturing of a water pump impeller in a process plant. Key aspects include digital twin creation, CAD redesign, material certification, Hirtisation postprocessing, and performance testing. Insights highlight iterative design for improved precision and reliability.
Michael Stadler   +3 more
wiley   +1 more source

Spatially resolved 23Na magnetic resonance dispersion measurement in porous media

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Quantitative 23Na MRI was employed to analyze dispersion in realistic core plug samples and was compared with the conventional breakthrough curve. 23Na MRI provided a more effective aassessment of core plug heterogeneity than the conventional method. Abstract Tracer tests are widely used in the petroleum industry to assess reservoir core plugs, relying
Rheya Rajeev   +5 more
wiley   +1 more source

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

open access: yesThe 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   +3 more
wiley   +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

Home - About - Disclaimer - Privacy