Results 111 to 120 of about 29,275 (288)

Optimal model‐based design of experiments for parameter precision: Supercritical extraction case

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study investigates the process of chamomile oil extraction from flowers. A parameter‐distributed model consisting of a set of partial differential equations is used to describe the governing mass transfer phenomena in a cylindrical packed bed with solid chamomile particles under supercritical conditions using carbon dioxide as a solvent ...
Oliwer Sliczniuk, Pekka Oinas
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

Сontrol of complex technological facilities of oil refining industries according to technical and economic indicators (by example of a complex distillation column)

Вестник Самарского государственного технического университета. Серия: Технические науки
The formation of solutions in automatic and automated process control systems is carried out on the basis of rules for changing controls depending on the values of controlled parameters.
Alexander P. Verevkin, Timur M. Murtazin, Oleg V. Kiryushin   +2 more
doaj   +1 more source

ZnO Nanowires by Chemical Bath Deposition: A Review on Doping and Functional Devices

Electron, EarlyView.
This review reports the most recent and well‐established state‐of‐the‐art and scientific challenges related to the doping of ZnO nanowires by chemical bath deposition, encompassing native point and hydrogen‐related defects, as well as extrinsic dopants.
Clément Lausecker, Adrien Baillard, Estelle Appert, Vincent Consonni   +3 more
wiley   +1 more source

Influence of initial binary mixture state of matter on heat costs at rectification

Тонкие химические технологии, 2014
Analysis of heat cost for rectification was performed taking into account the phase state of the original mixture. It was proved theoretically that increasing feed vapor fraction leads to decreasing energy consumption in conventional distillation process.
M. K. Zakharov, Mohand Abbasi
doaj  

Management rectification column close to the optimal

Башкирский химический журнал, 2011
We solve the problem of robust control rectification column close to the optimal mathematical model which can be affected by parametric and external uncontrollable disturbances. The problem is solved by the introduction of the auxiliary circuit a specially structure, which allowed, how to select the uncertainty acting on the object management and ...
openaire   +1 more source

Investigation of material cost of a propane-propylene rectification column

Multidiszciplináris Tudományok
In this study a propane-propylene rectification column was investigated in terms of diameter of the column, number of trays, reflux ratio and the construction material costs of the column. During the calculations the reflux ratio was modified between 8 and 30. The chosen material of the column and trays was 1.4404 grade austenitic steel.
Viktória Kállai, Péter Mizsey, Gábor Szepesi L.   +2 more
openaire   +2 more sources

Optimizing feather hydrolysate via machine learning for microbial recycling of waste concrete fines

Journal of Chemical Technology &Biotechnology, EarlyView.
Abstract BACKGROUND The concrete industry faces significant challenges from CO2 emissions and the disposal of waste concrete fines (WCF). Microbially induced calcite precipitation (MICP) can bind WCF into bioconcrete, but the high cost of commercial culture media hinders its application.
Henrietta Ottová, Barbora Malíková, Václav Nežerka, Petr Holeček, Dana Koňáková, Hana Stiborová   +5 more
wiley   +1 more source

Seabed classification in the Gulf of Alaska from acoustic surveys using deep learning

Limnology and Oceanography: Methods, EarlyView.
Abstract High‐resolution mapping of seafloor habitats has wide applications for fisheries, conservation efforts, offshore infrastructure planning, mineral extraction, and scientific modeling. This study leverages existing widespread single‐beam acoustic data and machine learning to create habitat maps for the Gulf of Alaska at a spatial resolution of ...
Karuna Agarwal, Christopher N. Rooper, Kresimir Williams   +2 more
wiley   +1 more source

IMPROVEMENT OF THE RECTIFICATION COLUMN OF THE DEETHANIZER

ETM Equipment Technologies Materials
The development of management systems for modern technological processes and optimal management of existing productions is impossible without the use of simulation software, which has high accuracy in describing the parameters of technological processes and allows for the investigation of these processes without significant material and time costs ...
openaire   +1 more source