ORCID Profile
0000-0002-9867-3961
Current Organisation
The University of Newcastle
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Publisher: Springer Science and Business Media LLC
Date: 24-04-2018
Publisher: Elsevier BV
Date: 2019
Publisher: Elsevier BV
Date: 11-2020
Publisher: Elsevier BV
Date: 10-2017
Publisher: Elsevier BV
Date: 05-2018
Publisher: Elsevier BV
Date: 10-2018
Publisher: Elsevier BV
Date: 12-2020
Publisher: Informa UK Limited
Date: 05-09-2017
Publisher: Springer Science and Business Media LLC
Date: 07-04-2017
Publisher: Elsevier BV
Date: 10-2017
Publisher: Elsevier BV
Date: 03-2022
DOI: 10.1016/J.CIS.2022.102606
Abstract: Pickering foams are available in many applications and have been continually gaining interest in the last two decades. Pickering foams are multifaceted, and their characteristics are highly dependent on many factors, such as particle size, charge, hydrophobicity and concentration as well as the charge and concentration of surfactants and salts available in the system. A literature review of these in idual studies at first might seem confusing and somewhat contradictory, particularly in multi-component systems with particles and surfactants with different charges in the presence of salts. This paper provides a comprehensive overview of particle-stabilized foams, also known as Pickering foams and froths. Underlying mechanisms of foam stabilization by particles with different morphology, surface chemistry, size and type are reviewed and clarified. This paper also outlines the role of salts and different factors such as pH, temperature and gas type on Pickering foams. Further, we highlight recent developments in Pickering foams in different applications such as food, mining, oil and gas, and wastewater treatment industries, where Pickering foams are abundant. We conclude this overview by presenting important research avenues based on the gaps identified here. The focus of this review is limited to Pickering foams of surfactants with added salts and does not include studies on polymers, proteins, or other macromolecules.
Publisher: Elsevier BV
Date: 06-2019
Publisher: Elsevier BV
Date: 08-2021
Publisher: Informa UK Limited
Date: 23-02-2018
Publisher: Elsevier BV
Date: 09-2021
Publisher: Elsevier BV
Date: 11-2017
Publisher: Elsevier BV
Date: 10-2018
Publisher: Elsevier BV
Date: 09-2022
Publisher: Royal Society of Chemistry (RSC)
Date: 2017
DOI: 10.1039/C6RA26396H
Abstract: In this study, we attempted to evaluate the flow regime transitions and characteristic velocities of phases in a novel type of extractor, called a horizontal–vertical pulsed sieve-plate column for three liquid–liquid systems with mass transfer d → c .
Publisher: Elsevier BV
Date: 07-2017
Publisher: Elsevier BV
Date: 07-2018
Publisher: Elsevier BV
Date: 05-2017
Publisher: MDPI AG
Date: 19-07-2022
Abstract: This study presents the equilibrium surface tension (ST), critical micelle concentration (CMC) and the dilational viscoelasticity of sodium dodecylbenzene sulfonate (SDBS)-adsorbed layers in the presence of NaCl, KCl, LiCl, CaCl2 and MgCl2 at 0.001–0.1 M salt concentration. The ST and surface dilational viscoelasticity were determined using bubble-shape analysis technique. To capture the complete profile of dilational viscoelastic properties of SDBS-adsorbed layers, experiments were conducted within a wide range of SDBS concentrations at a fixed oscillating frequency of 0.01 Hz. Salts were found to lower the ST and induce micellar formation at all concentrations. However, the addition of salts increased dilational viscoelastic modulus only at a certain range of SDBS concentration (below 0.01–0.02 mM SDBS). Above this concentration range, salts decreased dilational viscoelasticity due to the domination of the induced molecular exchange d ening the ST gradient. The dilational viscoelasticity of the salts of interest were in the order CaCl2 MgCl2 KCl NaCl LiCl. The charge density of ions was found as the corresponding factor for the higher impact of alent ions compared to monovalent ions, while the impact of monovalent ions was assigned to the degree of matching in water affinities, and thereby the tendency for ion-pairing between SDBS head groups and monovalent ions.
Publisher: Elsevier BV
Date: 07-2018
Publisher: Elsevier BV
Date: 08-2018
Publisher: Elsevier BV
Date: 05-2018
Publisher: Elsevier BV
Date: 04-2017
Publisher: Elsevier BV
Date: 04-2018
Publisher: Elsevier BV
Date: 06-2022
Publisher: Elsevier BV
Date: 06-2023
Publisher: Elsevier BV
Date: 08-2017
Publisher: Elsevier BV
Date: 06-2018
Publisher: Elsevier BV
Date: 03-2017
Publisher: Elsevier BV
Date: 11-2018
Publisher: Springer Science and Business Media LLC
Date: 12-12-2017
DOI: 10.1038/S41598-017-17444-5
Abstract: This research investigates the applicability of an ANN and genetic algorithms for modeling and multiobjective optimization of the thermal conductivity and viscosity of water-based spinel-type MnFe 2 O 4 nanofluid. Levenberg-Marquardt, quasi-Newton, and resilient backpropagation methods are employed to train the ANN. The support vector machine (SVM) method is also presented for comparative purposes. Experimental results demonstrate the efficacy of the developed ANN with the LM-BR training algorithm and the 3-10-10-2 structure for the prediction of the thermophysical properties of nanofluids in terms of the significantly superior accuracy compared to developing the correlation and employing SVM regression. Moreover, the genetic algorithm is implemented to determine the optimal conditions, i.e., maximum thermal conductivity and minimum nanofluid viscosity, based on the developed ANN.
Location: Iran (Islamic Republic of)
Location: Iran (Islamic Republic of)
No related grants have been discovered for Pouria Amani.