4.6 Article

Modeling surfactant adsorption/retention and transport through porous media

期刊

CHEMICAL ENGINEERING SCIENCE
卷 183, 期 -, 页码 190-199

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ces.2018.02.048

关键词

Surfactant; Modeling; Porous media; Adsorption; Porosity models

资金

  1. Tecnologico de Monterrey through the Energy and Climate Change Research Group
  2. Tecnologico de Monterrey

向作者/读者索取更多资源

The mathematical modeling of adsorption/retention behavior of surface active materials in a porous medium composed of a complex network of macropores, mesopores, and micropores was studied herein. In this paper, we propose a model for these processes and discuss selecting boundary conditions for parameter fitting, analyze tracer and surfactant signal sizes, contrast calculated results of reversible and irreversible adsorption, and address the difference between local equilibrium and the rate-limited process. We used experimental data from the literature to adjust the parameters of the proposed model, taking macroporosity and mesoporosity into account. Our results show that at least two types of porosity should be used for modeling porous media. Moreover, the boundary condition at the outlet was found to significantly affect the output response. This effect is greater in systems with low Peclet numbers (high dispersion and/or diffusion, i.e., N-Pe < 5). Therefore, an appropriate boundary condition should be used if an analytical solution is employed to fit experimental parameters for the tracer. In addition, we observed that two input signal characteristics, namely slug size and rectangular pulse, proved to be of great importance in determining the output response when they are smaller than the corresponding values that would cause the system to reach adsorption saturation. A local equilibrium assumption is only valid when the flow conditions result in a Stanton number greater than 10. Our model should be helpful in guiding the design of dynamic adsorption experiments and understanding the ways in which hetero-geneities in the rock influence the interpretation of experimental results. (C) 2018 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Review Engineering, Chemical

Recent Advances in Bifunctional Catalysts for the Fischer-Tropsch Process: One-Stage Production of Liquid Hydrocarbons from Syngas

Daniela Xulu Martinez-Vargas, Ladislao Sandoval-Rangel, Omar Campuzano-Calderon, Michel Romero-Flores, Francisco J. Lozano, K. D. P. Nigam, Alberto Mendoza, Alejandro Montesinos-Castellanos

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2019)

Review Engineering, Chemical

Process Intensification for Compact and Micro Heat Exchangers through Innovative Technologies: A Review

Jogender Singh, Alejandro Montesinos-Castellanos, K. D. P. Nigam

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2019)

Article Chemistry, Applied

MODELLING OF CONTINUOUS PRODUCTION OF BIOGAS IN A TUBULAR REACTOR

M. Romero-Flores, M. V. Sillas-Moreno, E. Trejo, A. Montesinos-Castellanos

REVISTA MEXICANA DE INGENIERIA QUIMICA (2019)

Article Engineering, Chemical

Shining Light on the Coiled-Flow Inverter-Continuous-Flow Photochemistry in a Static Mixer

Chinmay P. Tiwari, Fernando Delgado-Licona, Maria Valencia-Llompart, Sara Nunez-Correa, Krishna D. P. Nigam, Alejandro Montesinos-Castellanos, Enrique A. Lopez-Guajardo, Alan Aguirre-Soto

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2020)

Article Chemistry, Multidisciplinary

Experimental Study of Forced Convective Heat Transfer in a Coiled Flow Inverter Using TiO2-Water Nanofluids

Barbara Arevalo-Torres, Jose L. Lopez-Salinas, Alejandro J. Garcia-Cuellar

APPLIED SCIENCES-BASEL (2020)

Article Thermodynamics

Temperature uniformity evaluation of a shuttle kiln for the sanitary ware industry using CFD

M. Romero-Flores, D. A. Tapia-Martinez, K. Mariella-Gonzalez, A. Cantu-Perez, A. Montesinos-Castellanos

COMBUSTION THEORY AND MODELLING (2020)

Article Food Science & Technology

Increasing productivity and reducing energy consumption in the pizza industry by the synergetic combination of cooking technologies

David Mastrascusa, Patricia Vazquez-Villegas, Jose Ignacio Huertas, Esther Perez-Carrillo, Alejandro J. Garcia-Cuellar, Roberto Nevarez

Summary: Researchers explored the use of various technologies in the pizza industry and found that incorporating infrared technology can reduce cooking time by 50%, while reducing energy consumption by 27% and CO2 emissions by 27.1%, maintaining the quality properties of the pizza.

JOURNAL OF FOOD PROCESSING AND PRESERVATION (2021)

Article Chemistry, Multidisciplinary

Syntheses of Nanostructured Magnesium Carbonate Powders with Mesoporous Structures from Carbon Dioxide

Fernando J. Rodriguez-Macias, Jose E. Ortiz-Castillo, Erika Lopez-Lara, Alejandro J. Garcia-Cuellar, Jose L. Lopez-Salinas, Cesar A. Garcia-Perez, Orlando Castilleja-Escobedo, Yadira I. Vega-Cantu

Summary: This work presents two synthesis approaches for mesoporous magnesium carbonates that mineralize carbon dioxide, resulting in environmentally friendly carbonate materials without the use of cosolvents. One synthesis method produces nonequilibrium crystal structures with acicular crystals branching bidirectionally, while another method using supercritical carbon dioxide produces a hydrated magnesium carbonate with smaller pores and high surface area, suitable for adsorption and capillary transport, as well as potential use for carbon capture and sequestration.

APPLIED SCIENCES-BASEL (2021)

Article Energy & Fuels

Process intensification 4.0: A new approach for attaining new, sustainable and circular processes enabled by machine learning

Enrique A. Lopez-Guajardo, Fernando Delgado-Licona, Alejandro J. Alvarez, Krishna D. P. Nigam, Alejandro Montesinos-Castellanos, Ruben Morales-Menendez

Summary: This paper reviews the system-level transformations converging into the next generation of Process Intensification (PI4.0) strategies and presents the use of Artificial Intelligence techniques, particularly Machine Learning, for accelerating equipment design, process optimization, and streamlining. It also discusses the emerging framework of integrating Circular Chemistry, Industry 4.0, and Process Intensification, emphasizing how data obtained from this integration is crucial for the next generation of Process Intensification strategies.

CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION (2022)

Article Mechanics

Strategies for reducing airborne disease transmission during breathing using a portable air cleaner in a classroom

Michel Romero-Flores, Enrique A. Lopez-Guajardo, Arturo Delgado-Gutierrez, Alejandro Montesinos-Castellanos

Summary: Computational fluid dynamics and factorial studies were conducted to analyze the air cleaning capabilities of a portable air cleaner (PAC) in a closed room with thermal manikins and air distribution system (ADS) speeds. Results showed that PAC-ADS configuration and PAC position significantly affected particle transference. The best configuration was in the center of the room with a downward flow, reducing particle spread the most.

PHYSICS OF FLUIDS (2023)

Article Mechanics

An efficient implementation of the graphics processing unit-accelerated single-step and simplified lattice Boltzmann method for irregular fluid domains

Arturo Delgado-Gutierrez, Pier Marzocca, Diego Cardenas-Fuentes, Oliver Probst, Alejandro Montesinos-Castellanos

Summary: This article presents an efficient implementation of the GPU-accelerated single-step and simplified lattice Boltzmann method for curved fluid domains. The model accurately predicts macroscopic flow variables in realistic scenarios, and the computational performance is significantly faster than other simulations reported in the literature.

PHYSICS OF FLUIDS (2022)

Article Energy & Fuels

Process intensification through staggered herringbone micro-channels: Mass transfer enhancement to a reactive wall

Alberto Cantu-Perez, Enrique A. Lopez-Guajardo, Michel Romero-Flores, Krishna D. P. Nigam, Asterios Gavriilidis, Alejandro Montesinos-Castellanos

CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION (2020)

Article Engineering, Chemical

Directly assembling initial metal-organic framework and covalent organic polymer toward bifunctional oxygen electrocatalysts for Zn-air flow battery

Qing Han, Mengqing Shi, Linkai Han, Di Liu, Mingwei Tong, Yuxin Xie, Zhonghua Xiang

Summary: Developing highly efficient bifunctional oxygen electrocatalysts is crucial for zinc-air flow batteries. Metal-organic frameworks (MOFs) and covalent organic polymers (COPs) have emerged as promising alternatives due to their designable and controllable atomic-level structures. However, their catalytic performances are limited by conductivity and catalytic activity. In this study, nanosheet FeNi-MOF and iron phthalocyanine rich COP hybrid materials are assembled through the pi-pi stacking effect to create highly efficient bifunctional electrocatalysts. The resulting catalyst exhibits superior catalytic performance and stability, making it a promising candidate for zinc-air flow batteries.

CHEMICAL ENGINEERING SCIENCE (2024)

Article Engineering, Chemical

Phase equilibria modeling of cross-associating systems guided by a quantum chemical multi-conformational framework

Daria Grigorash, Dmytro Mihrin, Rene Wugt Larsen, Erling H. Stenby, Wei Yan

Summary: The article introduces a new approach to describe the cross-association between molecules, allowing for the simulation of weakly bound molecular complexes with different conformations in mixtures. By incorporating this approach into the equation of state, accurate predictions of vapor-liquid equilibrium and liquid-liquid equilibrium can be made. The new method is validated through experiments on alcohol and acid mixtures, with the results compared to experimental data, demonstrating its accuracy and reliability.

CHEMICAL ENGINEERING SCIENCE (2024)

Article Engineering, Chemical

Investigating the effect of sintering rate and solvent type on the liquid transport kinetics of α-alumina powder compacts

Mohammed Al-Sharabi, Daniel Markl, Vincenzino Vivacqua, Prince Bawuah, Natalie Maclean, Andrew P. E. York, Axel Zeitler

Summary: This study used terahertz pulsed imaging to investigate the transport process of different solvents into ceramic catalytic materials. The results showed that the heating rate of the samples influenced the water transport rate, while the viscosity of 1-octanol slowed down its transport.

CHEMICAL ENGINEERING SCIENCE (2024)

Article Engineering, Chemical

A new semi-empirical correlation for estimating settling dynamics of suspensions in viscoelastic shear-thinning fluids

Chukwunonso Anyaoku, Sati Bhattacharya, Rajarathinam Parthasarathy

Summary: This study aimed to enhance understanding of settling dynamics in viscoelastic fluids by developing a semi-empirical correlation and a dimensionless ratio, which accurately described the characteristics of settling suspensions.

CHEMICAL ENGINEERING SCIENCE (2024)

Article Engineering, Chemical

Pipe rheology of wet aqueous application foams

Antti I. Koponen, Janika Viitala, Atsushi Tanaka, Baranivignesh Prakash, Olli-Ville Laukkanen, Ari Jasberg

Summary: This study focuses on the development of foam application chemicals for the paper and board industry. The research explores the rheology of the polyvinyl alcohol foam used in the process. Measurements were conducted to determine the foam viscosity and slip flow. The results suggest that slip flow contributes significantly to the total flow rate, and the obtained viscosity and slip models provide a solid foundation for industrial processes.

CHEMICAL ENGINEERING SCIENCE (2024)

Article Engineering, Chemical

Boosting the visible light photo-thermal catalytic performance of α-Bi2O3 by tuning Fe doping amount in carbonylation of isobutyl amine with CO2

Dalei Sun, Jinghui Cai, Yating Yang, Zhiwu Liang

Summary: In this study, Fe-doped alpha-Bi2O3 catalysts with different Fe/Bi molar ratios were synthesized and utilized in the carbonylation of isobutyl amine with CO2. The results showed that Fe doping significantly enhanced the catalytic abilities of alpha-Bi2O3.

CHEMICAL ENGINEERING SCIENCE (2024)

Article Engineering, Chemical

Prediction of nitrogen solubility in ionic liquids by machine learning methods based on COSMO-derived descriptors

Yuan Tian, Xinxin Wang, Yanrong Liu, Wenping Hu

Summary: This paper predicts the solubility of nitrogen gas in ionic liquids (ILs) using two quantitative structure-property relationship (QSPR) models. By combining machine learning methods and ionic fragments contribution method, the accuracy and reliability of the prediction models are improved.

CHEMICAL ENGINEERING SCIENCE (2024)

Article Engineering, Chemical

Study on effective phase interfacial area at different injection angles of hydro-jet cyclone

Liwang Wang, Wei Liu, Pan Yang, Yulong Chang, Xiaoxu Duan, Lingyu Xiao, Yaoming Hu, Jiwei Wu, Liang Ma, Hualin Wang

Summary: This study investigates the effective phase interfacial area (ae) of hydro-jet cyclones at different injection angles. The results show that a 45 degrees upward incidence angle yields the most favorable flow field characteristics for efficient mass transfer. The significant enhancement in ae of the hydro-jet cyclones offers the advantage of reducing equipment volume and cost savings.

CHEMICAL ENGINEERING SCIENCE (2024)

Article Engineering, Chemical

Experimental determination and thermodynamic modeling of the hydrogen sulfide hydrate solubility in water

Chuanjun Wu, Jiangzhi Chen, Jiyue Sun, I-Ming Chou, Shenghua Mei, Juezhi Lin, Lei Jiang

Summary: In this study, the solubility of H2S hydrate in water was measured using Raman spectroscopy. The results showed that the solubility increases with temperature under certain equilibrium conditions, and the solubility also depends on pressure and temperature under different equilibrium conditions. A thermodynamic model based on the van der Waals-Platteeuw theory was developed to predict the solubility, demonstrating its accuracy.

CHEMICAL ENGINEERING SCIENCE (2024)

Article Engineering, Chemical

Chemical recycling of polyethylene terephthalate (PET) to monomers: Mathematical modeling of the transesterification reaction of bis (2-hydroxyethyl) terephthalate to dimethyl terephthalate

Lorenzo Brivio, Serena Meini, Mattia Sponchioni, Davide Moscatelli

Summary: This study investigates the influence of three main parameters and proposes a kinetic model to predict the optimal operating conditions for high yield of dimethyl terephthalate (DMT) in the chemical recycling process of polyethylene terephthalate (PET).

CHEMICAL ENGINEERING SCIENCE (2024)

Article Engineering, Chemical

Hierarchical porous honeycomb NiCo/C catalyst for decarboxylation of fatty acids and upgrading of sludge bio-crude

Hongju Lin, Fanhui Liao, Yanchang Chu, Mingyu Xie, Lun Pan, Yuanyuan Wang, Lijian Leng, Donghai Xu, Le Yang, Gangfeng Ouyang

Summary: A honeycomb NiCo/C-Na catalyst with a micro-meso-macroporous structure has been fabricated and shown to have significantly higher catalytic activity for the decarboxylation of fatty acids. It also proves to be efficient in upgrading sludge HTL bio-crude, resulting in a biofuel with decreased viscosity and increased density.

CHEMICAL ENGINEERING SCIENCE (2024)

Article Engineering, Chemical

High hydrothermal stability Co@NC catalyst for hydrothermal deoxygenation of algae-based bio-oil model compound

Xiaoxian Li, Rui Li, Min Lin, Mingde Yang, Yulong Wu

Summary: A series of coated non-noble metal porous carbon catalysts were synthesized and applied to the aqueous-phase deoxygenation of algal bio-oil. One of the catalysts showed excellent deoxygenation selectivity and catalytic activity at 250 degrees C. The catalyst exhibited good hydrothermal stability and the reaction mechanism was proposed based on product analysis and active site analysis.

CHEMICAL ENGINEERING SCIENCE (2024)

Article Engineering, Chemical

Effect of potassium in catalysts obtained by the solution combustion synthesis for co-production of hydrogen and carbon nanofibers by catalytic decomposition of methane

M. V. Chudakova, M. V. Popov, P. A. Korovchenko, E. O. Pentsak, A. R. Latypova, P. B. Kurmashov, A. A. Pimenov, E. A. Tsilimbaeva, I. S. Levin, A. G. Bannov, A. V. Kleymenov

Summary: A series of catalysts with different potassium contents were prepared using solution combustion synthesis and characterized using various techniques. The results showed that the potassium content affected the phase composition and texture of the catalysts. The addition of a small amount of potassium resulted in a change in particle size distribution, leading to higher hydrogen yield. The Ni-1%K2O/Al2O3 catalyst exhibited the highest hydrogen yield at temperatures of 675 and 750 degrees Celsius.

CHEMICAL ENGINEERING SCIENCE (2024)

Article Engineering, Chemical

Modification of e-CPA for estimating phase equilibria and development of predictive models for electrical conductivity in aqueous electrolyte solutions

Aliakbar Roosta, Nima Rezaei

Summary: In this study, we modified the electrolyte cubic plus association equation of state (e-CPA EoS) and integrated it with two electrical conductivity models to estimate the electrical conductivity of 11 monovalent electrolyte solutions in water. The modified e-CPA model demonstrated better performance and the hybridization with electrical conductivity models resulted in two predictive models for estimating the electrical conduction of dilute and concentrated electrolyte solutions. These predictive models showed relative average percentage deviations (AARD) of 11.15% and 13.87% over wide ranges of temperature and electrolyte concentration.

CHEMICAL ENGINEERING SCIENCE (2024)

Article Engineering, Chemical

QSPR models for complexation performance of α-cyclodextrin and β-cyclodextrin complexes by norm indices

Haoren Niu, Jianzheng Wang, Qingzhu Jia, Qiang Wang, Jin Zhao, Fangyou Yan

Summary: A study developed two quantitative structure-property relationship models for the complexation performance of alpha- and beta-cyclodextrins and validated their stability and predictive ability through internal and external validation. The models showed robustness and satisfactory performance, as demonstrated by the experimental results and model validations. These models can effectively predict the binding constants between cyclodextrins and various types of molecules, providing valuable tools for cyclodextrin design.

CHEMICAL ENGINEERING SCIENCE (2024)