Coalescence of emulsified water drops in ULSD using a steel mesh electrowet coalescer

2021 ◽  
Vol 254 ◽  
pp. 117675
Author(s):  
Ashish D. Gadhave ◽  
George G. Chase
Keyword(s):  
Steel Mesh ◽  
Water Drops ◽  
Emulsified Water

scholarly journals DEVELOPMENT OF A PROCESS CONTROL SYSTEM FOR DYNAMIC SEDIMENT OF OIL EMULSION

World Science ◽  
2019 ◽  
Vol 1 (3(43)) ◽  
pp. 15-18
Author(s):  
Abasova Inara
Keyword(s):  
Process Control System ◽  
Mineral Salts ◽  
Oil Emulsion ◽  
Average Value ◽  
Emulsion Layer ◽  
Compression And Expansion ◽  
Water Drops ◽  
Emulsified Water ◽  
Commercial Oil

Using heat balance and geometric features of horizontal cylindrical sedimentation, a new method and algorithm for controlling the dynamic sediment of emulsified water drops of oil emulsion have been developed. The mechanism of oil emulsion dynamic sediment on the proposed method is that the redistribution of the flow contributes to the cyclic change in the flow rate of the oil emulsion in the settling apparatus and the oscillatory motion (compression and expansion) of the intermediate emulsion layers, leading to the destruction of armoring casings, coalescence of emulsified water drops and transfer mechanical impurities into water cushion of the settling apparatus, as a result of which the quality of commercial oil increases (the content of water and mineral salts decrease in the prepared oil) and the risk of flooding the settling apparatus decreases. In the settling apparatus, where the volume of the oil emulsion is greater than the average value, the intermediate emulsion layer expands, the kinetic energy increases, and it increases the efficiency of collisions between the drops, leading to the destruction of the armoring casings and coalescence of the drops. When the volume is less than the average value, the intermediate emulsion layer is compressed, the distance between the drops decreases, leading to a coalescence of the drops and an increase in the efficiency of oil preparation.

Augmented intelligent water drops optimisation model for virtual machine placement in cloud environment

IET Networks ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 215-222
Author(s):  
Sivaraman Eswaran ◽  
Daniel Dominic ◽  
Jayapandian Natarajan ◽  
Prasad B. Honnavalli
Keyword(s):  
Virtual Machine ◽  
Virtual Machine Placement ◽  
Cloud Environment ◽  
Water Drops ◽  
Optimisation Model ◽  
Intelligent Water Drops

scholarly journals Hybrid Intelligent Water Drops Algorithm for Examination Timetabling Problem

2021 ◽  
Author(s):  
Bashar A. Aldeeb ◽  
Mohammed Azmi Al-Betar ◽  
Norita Md Norwawi ◽  
Khalid A. Alissa ◽  
Mutasem K. Alsmadi ◽  
...  
Keyword(s):  
Examination Timetabling ◽  
Timetabling Problem ◽  
Intelligent Water Drops Algorithm ◽  
Water Drops ◽  
Intelligent Water Drops

scholarly journals The Separation of Emulsified Water/Oil Mixtures through Adsorption on Plasma-Treated Polyethylene Powder

Materials ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1086
Author(s):  
Asma Abdulkareem ◽  
Anton Popelka ◽  
Patrik Sobolčiak ◽  
Aisha Tanvir ◽  
Mabrouk Ouederni ◽  
...  
Keyword(s):  
Droplet Size ◽  
Contact Time ◽  
Diesel Oil ◽  
Polluted Water ◽  
Order Kinetic ◽  
Atmospheric Conditions ◽  
Sonication Time ◽  
Oil Concentration ◽  
Oil Water ◽  
Emulsified Water

This paper addresses the preparation and characterization of efficient adsorbents for tertiary treatment (oil content below 100 ppm) of oil/water emulsions. Powdered low-density polyethylene (LDPE) was modified by radio-frequency plasma discharge and then used as a medium for the treatment of emulsified diesel oil/water mixtures in the concentration range from 75 ppm to 200 ppm. Plasma treatment significantly increased the wettability of the LDPE powder, which resulted in enhanced sorption capability of the oil component from emulsions in comparison to untreated powder. Emulsions formed from distilled water and commercial diesel oil (DO) with concentrations below 200 ppm were used as a model of oily polluted water. The emulsions were prepared using ultrasonication without surfactant. The droplet size was directly proportional to sonication time and ranged from 135 nm to 185 nm. A sonication time of 20 min was found to be sufficient to prepare stable emulsions with an average droplet size of approximately 150 nm. The sorption tests were realized in a batch system. The effect of contact time and initial oil concentrations were studied under standard atmospheric conditions at a stirring speed of 340 rpm with an adsorbent particle size of 500 microns. The efficiency of the plasma-treated LDPE powder in oil removal was found to be dependent on the initial oil concentration. It decreased from 96.7% to 79.5% as the initial oil concentration increased from 75 ppm to 200 ppm. The amount of adsorbed oil increased with increasing contact time. The fastest adsorption was observed during the first 30 min of treatment. The adsorption kinetics for emulsified oils onto sorbent followed a pseudo-second-order kinetic model.

scholarly journals Roll Bonding of Al-Based Composite Reinforced with C10 Steel Expanded Mesh Inlay

Metals ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1044
Author(s):  
Yaroslav Frolov ◽  
Maxim Nosko ◽  
Andrii Samsonenko ◽  
Oleksandr Bobukh ◽  
Oleg Remez
Keyword(s):  
Impact Energy ◽  
High Efficiency ◽  
Shape Change ◽  
Experimental Investigations ◽  
Aluminum Composite ◽  
Rolling Mills ◽  
Roll Bonding ◽  
Finite Element Software ◽  
Steel Mesh ◽  
Bonded Composite

The most complex issue related to the design of high efficiency composite materials is the behavior of the reinforcing component during the bonding process. This study presents numerical and experimental investigations of the shape change in the reinforcing inlay in an aluminum-steel mesh-aluminum composite during roll-bonding. A flat composite material consisting of two outer strips of an EN AW 1050 alloy and an inlay of expanded C10 steel mesh was obtained via hot roll bonding with nominal rolling reductions of 20%, 30%, 40% and 50% at a temperature of 500 °C. The experimental procedure was carried out using two separate rolling mills with diameters equal to 135 and 200 mm, respectively. A computer simulation of the roll bonding was performed using the finite element software QForm 9.0.10 by Micas Simulations Limited, Oxford, UK. The distortion of the mesh evaluated via the change in angle between its strands was described using computer tomography scanning. The dependence of the absorbed impact energy of the roll bonded composite on the parameters of the deformation zone was found. The results of the numerical simulation of the steel mesh shape change during roll bonding concur with the data from micro-CT scans of the composites. The diameter of rolls applied during the roll bonding, along with rolling reduction and temperature, have an influence on the resulting mechanical properties, i.e., the absorbed bending energy. Generally, the composites with reinforcement exhibit up to 20% higher impact energy in comparison with the non-reinforced composites.

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