Results 221 to 230 of about 6,923,335 (304)

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

open access: yesThe 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

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

Antisolvent crystallization of lithium hydroxide monohydrate: Significant factors and kinetics analysis

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract Crystallization is the final stage in lithium hydroxide monohydrate (LiOH · H2O) production, and antisolvent crystallization offers a lower‐energy route compared with evaporative methods. In this study, we investigated bench‐scale ethanol‐based antisolvent crystallization of LiOH · H2O, and identified the significant impact parameter via a ...
Chentao He, Liuyin Xia
wiley   +1 more source

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