Design and multi-objective optimization of reactive pressure-swing distillation process for separating tetrahydrofuran-methanol-water

X Liu, Q Xu, C Ma, F Zhang, P Cui, Y Wang… - Separation and …, 2024 - Elsevier
The low-energy and low-cost process development and design has always been a hot topic
and challenge in separating azeotropic systems in the world. In this paper, a novel, energy …

Development and characterization of microfiber incorporated with industrial biopolymer composite based biodegradable cutlery: An alternative to single use plastic

M Basil, MK Anirudh, AMN Lal, MP Harikrishnan… - Industrial Crops and …, 2023 - Elsevier
This study analysed the possibilities of developing biocomposites using a combination of
poly lactic acid and polybutylene adipate terephthalate combined with micro cellulose from …

Artificial neural network

MO Okwu, LK Tartibu, MO Okwu, LK Tartibu - … optimization: nature-inspired …, 2021 - Springer
Abstract Artificial Neural Networks (ANNs) are known to be one of the most prevalent
intelligent systems whose architecture is modeled by mimicking the human brain. Most of the …

Economical process design of reactive-extractive distillation combining variable pressure and heat integration for separating a ternary azeotropic mixture

F Zhang, Z Li, B Shan, Z Zhu, Y Wang, Q Xu - Energy, 2024 - Elsevier
Research and development of environmentally friendly processes that can generate
significant profits has always been a focus of attention in pharmaceutical and chemical …

Mechanism-embedded neural network modeling and operation optimization of a distillation unit with varying production performance

S Li, Y Zheng, S Li, M Huang - Chemical Engineering Research and Design, 2022 - Elsevier
Current challenges faced by typical industrial production processes, such as distillation unit
(DU), include achieving optimum operation with varying production performance. This paper …

[HTML][HTML] Protective effects of morin hydrate on acute stress-induced behavioral and biochemical alterations in mice

ET Olonode, AO Aderibigbe… - Basic and Clinical …, 2018 - ncbi.nlm.nih.gov
Methods: The models employed were anoxic tolerance, swimming endurance, and acute
restraint test. Morin hydrate or the vehicle was administered 30 minutes prior to each stress …

Application of artificial neural network model for cost optimization in a single-source, multi-destination system with non-deterministic inputs

MO Okwu, VU Chukwu, O Oguoma - … 2019, Gran Canaria, Spain, June 12 …, 2019 - Springer
Decision making, especially at the strategic level of corporate management has continued to
grow complex by the day arising from its connection with the dynamism being experienced …

Effect of microwave heat treatment on physical and mechanical properties of high-Density polyethylene/wood flour/Nano-SiO2 composites

A Amini, M Farsi, M Ebadi, FM Sani… - Journal of …, 2023 - journals.sagepub.com
The study aimed at investigating the impact of Microwave Heat Treatment (MHT) on the
physical and mechanical properties of wood flour (WF)/Nano-SiO2/High-Density …

Application of Artificial Neural Network (ANN) in the optimization of crude oil refinery process: New Port-Harcourt refinery

MN Braimah - Journal of Energy Research and Reviews, 2020 - archive.sdpublishers.com
Background: Optimizing the process conditions of the crude distillation unit is a main
challenge for each refinery. Optimization increases profit by producing the required range of …

[HTML][HTML] Application of artificial neural networks based Monte Carlo simulation in the expert system design and control of crude oil distillation column of a Nigerian …

LT Popoola, AA Susu - Advances in Chemical Engineering and Science, 2014 - scirp.org
This research work investigated comparative studies of expert system design and control of
crude oil distillation column (CODC) using artificial neural networks based Monte Carlo …