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Formulation and fuzzy modeling of emulsion stability and viscosity of a gum–protein emulsifier in a model mayonnaise system

Mahmoud Abu Ghoush, Murad Samhouri, Murad Al-Holy, Thomas Herald
2008 Journal of Food Engineering  
In addition, an adaptive neuro-fuzzy inference system (ANFIS) was used to model and identify the properties of the resulted mayonnaise, with the temperature and ratios.  ...  A solution of 0.1% IC and 4% WP was prepared and used as an emulsifier in five different mayonnaise formulas.  ...  During the formation of an emulsion, oil droplets are dispersed into a continuous phase. The oil droplets tend to flocculate due to attractive forces.  ... 
doi:10.1016/j.jfoodeng.2007.05.025 fatcat:n5v3ehnetvfptltl4vd5sybks4

COD Removal Prediction of DAF Unit Refinery Wastewater by Using Neuro- Fuzzy Systems (ANFIS) (Short Communication)

Yasser Vasseghian, Mojtaba Ahmadi, Rashid Gholami, Sajad Aghaali
2013 Journal of chemical and petroleum engineering  
The data obtained from COD experiments using neuro-fuzzy systems have been modeled.  ...  In this study the Dissolved Air Flotation (DAF) system in oil refinery was investigated for the treatment of refinery wastewater. In order to investigate sytem a labratory scale rig was built.  ...  Most of industrial wastewater treatment and refining are to be oil in water emulsions.  ... 
doi:10.22059/jchpe.2013.2979 doaj:2671d9ca776d4826b1be70c2998024ab fatcat:fosncp64hzfsfn5m2gwdthv3te


Maral Karazhanova, Igor Piriverdiyev, Duman Akhmetov
2019 NEWS of National Academy of Sciences of the Republic of Kazakhstan  
In [16] , fuzzy logic is used in problems of analytical modeling of enhanced oil recovery methods.  ...  The appearance of formation water in the oil is one of the main reasons worsening the performance of wells.  ...  In particular, translations into English of papers already published in another language are not accepted.  ... 
doi:10.32014/2019.2518-170x.87 fatcat:kqysdsbgtrgtnmhpga2fucicoi

Real-Time Prediction of Rheological Properties of Invert Emulsion Mud Using Adaptive Neuro-Fuzzy Inference System

Ahmed Alsabaa, Hany Gamal, Salaheldin Elkatatny, Abdulazeez Abdulraheem
2020 Sensors  
ANFIS models will help to track in real-time the rheological properties for invert emulsion mud that allows better control for the drilling operation problems.  ...  The adaptive neuro-fuzzy inference system (ANFIS) was used to develop new models to determine the mud rheological properties using real field measurements of 741 data points.  ...  Acknowledgments: The authors wish to acknowledge King Fahd University of Petroleum and Minerals (KFUPM) for utilizing the various facilities in carrying out this research.  ... 
doi:10.3390/s20061669 pmid:32192144 pmcid:PMC7147378 fatcat:w4epfr6zpbbelgzpufdo2jew4m

Fuzzy Identification and Modeling of a Gum-Protein Emulsifier in a Model Mayonnaise Color Development System

Murad Samhouri, Mahmoud Abughoush, Thomas Herald
2007 International Journal of Food Engineering  
In addition, an adaptive neuro-fuzzy inference system (ANFIS) was used to model and identify the properties of the resulted mayonnaise, with the temperature and ratios.  ...  A solution of 0.1% IC and 4% WP was prepared and used as an emulsifier in five different mayonnaise formulas.  ...  During the formation of an emulsion, oil droplets are dispersed into a continuous phase. Thus, the oil droplets tend to flocculate due to attractive forces.  ... 
doi:10.2202/1556-3758.1255 fatcat:c2jlo42f7jbllfgbhblmqpk3qa

Formulation and Fuzzy Modeling of Viscosity of an Orange-Flavored Carboxymethylcellulose-Whey Protein Isolate Beverage

Mahmoud Abughoush, Majdi Al-Mahasneh, Murad Samhouri, Murad Al-Holy, Thomas Herald
2008 International Journal of Food Engineering  
In addition, an adaptive neuro-fuzzy inference system (ANFIS) was used to model and identify the viscosity of the resulted beverages.  ...  KEYWORDS: beverage formulations, whey protein isolate (WPI), carboxymethylcellulose (CMC), apparent viscosity, fuzzy modeling * The authors are so grateful to The Hashemite University for providing the  ...  ANFIS Modeling The fuzzy logic toolbox of Matlab 7.0 was used to obtain the results, and to build a fuzzy model for the viscosity.  ... 
doi:10.2202/1556-3758.1496 fatcat:iyop6bfb4zfifacrz43fjsuvp4

Fuzzy clustering-based modeling of surface interactions and emulsions of selected whey protein concentrate combined to ι-carrageenan and gum arabic solutions

Murad Samhouri, Mahmoud Abu-Ghoush, Emad Yaseen, Thomas Herald
2009 Journal of Food Engineering  
In addition, a fuzzy-based clustering model was used to predict the surface properties.  ...  Surface properties (surface tension, interfacial tension, emulsion activity index "EAI", and emulsion stability index "ESI") of 4% whey protein concentrate (WPC) in a combination with i-carrageenan (0.05%  ...  The use of fuzzy logic-based techniques has been recently getting more importance in the field of food engineering.  ... 
doi:10.1016/j.jfoodeng.2008.07.029 fatcat:zvngwdsq4netzb3smfrkdc23de

Modeling sprinkler irrigation infiltration based on a fuzzy-logic approach

Mohamed Abdel-Aziz Mattar, Mohamed S. El-Marazky, Khaled A. Ahmed
2017 Spanish Journal of Agricultural Research  
In this study, the irrigation water infiltration rate (IR) is defined by input variables in linguistic terms using a fuzzy-logic approach.  ...  A fuzzy-logic model was developed using data collected from published data. The model was trained with three fuzzy membership functions: triangular ('trimf'), trapezoid (trapmf), and pi ('pimf').  ...  Anionic PAM is used mainly in two forms: dry (granular) or liquid (oil emulsion). The latter is ideal for injection into sprinkler irrigation systems.  ... 
doi:10.5424/sjar/2017151-9179 fatcat:jtr2o7s3hnecta6tq623ke7zda

Artificial Intelligence Techniques in Oil Industry

Thilak N, Gavina C G
2021 Zenodo  
This documentary provides an overview of artificial intelligence advances such as artificial neural networks and support vector machines, as well as the primary areas in which they are used in the oil  ...  At any activity of the oil production process, data mining technologies are extremely useful.  ...  The fuzzy logic model is a hybrid framework that uses data to learn rules and membership functions.  ... 
doi:10.5281/zenodo.5234642 fatcat:4oiv6yj7onatrf4up7f6e6sum4

Expert System for Monitoring the Malaxing State of the Olive Paste Based on Computer Vision †

Diego Martínez Gila, Pablo Cano Marchal, Juan Gómez Ortega, Javier Gámez García
2018 Sensors  
In this work, different image-processing parameters have been proposed to automatically assess the aforementioned indicators and they have been used as inputs in the designed fuzzy controller.  ...  The malaxing of olive paste is one of the most important sub-processes in the virgin olive oil production process.  ...  The universe of discourse of this variable is between the minimum value of time needed to prepare the olive paste (around 20 min) and the maximum value of time to avoid formations of emulsions (close to  ... 
doi:10.3390/s18072227 pmid:29997320 pmcid:PMC6069482 fatcat:lu32wrth6fd3jnm5hpcmth6cjm

Detection of Floating Oil Anomalies From the Deepwater Horizon Oil Spill With Synthetic Aperture Radar

Oscar Garcia-Pineda, Ian MacDonald, Chuanmin Hu, Jan Svejkovsky, Mark Hess, Dmitry Dukhovskoy, Steven Morey
2013 Oceanography  
Detection of floating oil anomalies from the Deepwater Horizon oil spill with synthetic aperture radar. Oceanography 26(2):124-137, http://dx.  ...  Semi-automated routines developed for this purpose employ different image-processing algorithms such as neural networks, adaptive thresholding, and fuzzy logic (Del Frate et al., 2000; Topouzelis et al  ...  The most likely cause of the structural characteristics delineated by OEDA was in the effect of emulsion formation and floating volume (i.e., thickness).  ... 
doi:10.5670/oceanog.2013.38 fatcat:px4y6dul4zg2rodomk2mgcxkly

Static model of oil viscosity reduction for automatic pulse current exposure regulation system

V. A. Sasarov, A. V. Yudin, M. A. Fedorova, V.S. Litvinenko
2021 E3S Web of Conferences  
The model is implemented in the MATLAB system and takes into account the initial kinematic viscosity of the oil, its temperature, and density. Modeling of each block of the proposed ACS is performed.  ...  The article considers an open automatic control system (ACS) with compensation based on a model of the viscosity reduction process.  ...  In this article the results of research of applied electric field parameters' impact on the formation of water chains in oil-water emulsions are presented.  ... 
doi:10.1051/e3sconf/202126601020 fatcat:6btug3akazdj7n5utxixqgox74

Effects of solvent addition and ultrasound waves on viscosity reduction of residue fuel oil

Akbar Mohammadi Doust, Masoud Rahimi, Mostafa Feyzi
2015 Chemical Engineering and Processing  
materials in oil processes.  ...  In the present work, the influences of temperature, solvent concentration and ultrasonic irradiation time were numerically analyzed on viscosity reduction of residue fuel oil (RFO).  ...  ACKNOWLEDGMENTS Authors would like to thank the Research Institute of petroleum industry of Kermanshah and Kermanshah Oil Refinery for providing of samples and their valuable suggestions of advisors during  ... 
doi:10.1016/j.cep.2015.07.014 fatcat:bb53usfarbhq5pww4li4vf6pym

The Challenges of Remotely Measuring Oil Slick Thickness

Merv Fingas
2018 Remote Sensing  
These three thickness regimes are not useful to oil spill countermeasures, as most of the oil is contained in the thick portion of a slick, the thickness of which is unknown and ranges over several orders  ...  The thickness of oil spills on the sea is an important but poorly studied topic. Means to measure slick thickness are reviewed. More than 30 concepts are summarized.  ...  This was used as a training set in a fuzzy logic system. Then, the resulting thicknesses were output. The thickness limits were claimed to be up to 0.5 mm.  ... 
doi:10.3390/rs10020319 fatcat:l37wr7qenvb2ngv3ga6fzayos4

Applications of neuro fuzzy systems: A brief review and future outline

Samarjit Kar, Sujit Das, Pijush Kanti Ghosh
2014 Applied Soft Computing  
Neuro-fuzzy systems refer to combinations of artificial neural network and fuzzy logic in the field of artificial intelligence, which was proposed by Jang [1] in 1993.  ...  AI methods are mainly comprised of fuzzy logic, neural networks, genetic programming and hybrid approaches such as neuro fuzzy systems, genetic fuzzy systems and genetic programming neural networks etc  ...  [104] developed an artificial intelligence based modeling scheme using the ANFIS methodology for modeling of water-in-oil emulsion formation.  ... 
doi:10.1016/j.asoc.2013.10.014 fatcat:iochb6rlgbhb5dmpmx7jeh54mu
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