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Fault Location on Parallel Transmission Lines as Influenced by Mutual Effect

Research Abstract
Fault location on one of two parallel lines is determined as a percentage of line length in the presence and absence of the mutual effect between lines. The methodology for fault location is based on the principle that at the fault E f1 +E f2 +E f0 = 0. This relation is utilized to determine the sequence voltages at the relay position, where the impedance to the fault location can be assessed. This makes it possible to devise new accurate algorithms for fault location, whatever the lines are fed from one end or both ends. The location of single line-to-ground (SLG) and double line-to-ground (DLG) faults at different points along the line is investigated. With the determination of the fault location, the impedance seen by the distance relay is defined for SLG and DLG faults. This impedance determines where the fault is within the reach of the relay.
Research Authors
Hamdy A. Ziedan, Mohammed Alqarni
Research Department
Research Journal
2019 IEEE 8th International Conference on Advanced Power System Automation and Protection (APAP), Xi'an, China.
Research Member
Research Pages
pp. 51-58
Research Publisher
IEEE
Research Rank
3
Research Vol
2019 IEEE 8th International Conference on Advanced Power System Automation and Protection (APAP), Xi'an, China.
Research Website
DOI: 10.1109/APAP47170.2019.9224881
Research Year
2019

Accurate Fault Location Modeling for Parallel Transmission Lines Considering Mutual Effect

Research Abstract
New accurate algorithms based on mathematical modeling of two parallel transmissions lines system (TPTLS) as influenced by the mutual effect to determine the fault location is discussed in this work. The distance relay measures the impedance to the fault location which is the positive-sequence. The principle of summation of the positive-, negative-, and zero-sequence voltages which equal zero is used to determine the fault location on the TPTLS. Also, the impedance of the transmission line to the fault location is determined. These algorithms are applied to single-line-to-ground (SLG) and double-line-to-ground (DLG) faults. To detect the fault location along the transmission line, its impedance as seen by the distance relay is determined to indicate if the fault is within the relay’s reach area. TPTLS under study is fed from one- and both-ends. Schematic diagrams are obtained for the impedance relays to determine the fault location with high accuracy.
Research Authors
Hamdy A. Ziedan, Hegazy Rezk, Mujahed Al-Dhaifallah
Research Department
Research Journal
Computers, Materials & Continua, (Q1, IF = 4.89, ISSN: 1546-2218 (print), 1546-2226 (online)), Vol. 67, No. 1, pp. 491-518, Special issue: “Interval Arithmetic with Applications to Physical Phenomena”, 2021. Doi: 10.32604/Cmc.2021.014493
Research Member
Research Pages
pp. 491-518
Research Publisher
NULL
Research Rank
1
Research Vol
Vol. 67, No. 1
Research Website
https://www.techscience.com/cmc/v67n1/41195
Research Year
2021

Microchannel geometry vs flow parameters for controlling nanoprecipitation of polymeric nanoparticles

Research Abstract
Channel-based microfluidics was proven to be a helpful platform for reproducible preparation of nanoparticles (NPs), where controlled mixing of fluids allows homogeneous and tuned process of NPs formation. Nanoprecipitation is a popular method for polymeric NPs formation based on controlled precipitation of a polymer upon mixing of two miscible solvents. Conventionally, flow rate, flow rate ratio and polymer concentration have been utilized to control NPs size and polydispersity. However, minimum attention has been given to the effect of channel geometry on nanoprecipitation process. In our study, we investigated the effect of channel geometry and design on the size and polydispersity index (PDI) of poly (lactic-co-glycolic) acid (PLGA) NPs. Ten different designs with varied channel length, aspect ratio, number of interfaces and channel curvature were fabricated and tested. These variations were introduced to modify the diffusion rate, the interface area or to introduce Dean flow, all of which will change the mixing time . The effects of these variations were compared to that of different flow parameters. Change in channel length did not have a significant effect on particle size. However, increasing the diffusion area and reducing significantly reduced NPs’ size. Moreover, when curvature was introduced into the channel, mixing was enhanced, and particle size was decreased in a manner dependent on the velocity of the generated Dean flow. While different flow parameters continue to be the main approach for adjusting NPs properties, we demonstrate that channel geometry modification enables tuning of NPs’ size using simple designs that can be easily adapted.
Research Authors
Mahmoud Abdelkarim, Noura H. Abd Ellah, Mahmoud Elsabahy, Sara A. Abouelmagd, And Mohamed Abdelgawad
Research Journal
Colloids and Surfaces A: Physicochemical and Engineering Aspects
Research Pages
NULL
Research Publisher
Elsevier
Research Rank
1
Research Vol
Volume 611, 125774
Research Website
https://doi.org/10.1016/j.colsurfa.2020.125774
Research Year
2021

Microchannel geometry vs flow parameters for controlling nanoprecipitation of polymeric nanoparticles

Research Abstract
Channel-based microfluidics was proven to be a helpful platform for reproducible preparation of nanoparticles (NPs), where controlled mixing of fluids allows homogeneous and tuned process of NPs formation. Nanoprecipitation is a popular method for polymeric NPs formation based on controlled precipitation of a polymer upon mixing of two miscible solvents. Conventionally, flow rate, flow rate ratio and polymer concentration have been utilized to control NPs size and polydispersity. However, minimum attention has been given to the effect of channel geometry on nanoprecipitation process. In our study, we investigated the effect of channel geometry and design on the size and polydispersity index (PDI) of poly (lactic-co-glycolic) acid (PLGA) NPs. Ten different designs with varied channel length, aspect ratio, number of interfaces and channel curvature were fabricated and tested. These variations were introduced to modify the diffusion rate, the interface area or to introduce Dean flow, all of which will change the mixing time . The effects of these variations were compared to that of different flow parameters. Change in channel length did not have a significant effect on particle size. However, increasing the diffusion area and reducing significantly reduced NPs’ size. Moreover, when curvature was introduced into the channel, mixing was enhanced, and particle size was decreased in a manner dependent on the velocity of the generated Dean flow. While different flow parameters continue to be the main approach for adjusting NPs properties, we demonstrate that channel geometry modification enables tuning of NPs’ size using simple designs that can be easily adapted.
Research Authors
Mahmoud Abdelkarim, Noura H. Abd Ellah, Mahmoud Elsabahy, Sara A. Abouelmagd, And Mohamed Abdelgawad
Research Journal
Colloids and Surfaces A: Physicochemical and Engineering Aspects
Research Pages
NULL
Research Publisher
Elsevier
Research Rank
1
Research Vol
Volume 611, 125774
Research Website
https://doi.org/10.1016/j.colsurfa.2020.125774
Research Year
2021

Microchannel geometry vs flow parameters for controlling nanoprecipitation of polymeric nanoparticles

Research Abstract
Channel-based microfluidics was proven to be a helpful platform for reproducible preparation of nanoparticles (NPs), where controlled mixing of fluids allows homogeneous and tuned process of NPs formation. Nanoprecipitation is a popular method for polymeric NPs formation based on controlled precipitation of a polymer upon mixing of two miscible solvents. Conventionally, flow rate, flow rate ratio and polymer concentration have been utilized to control NPs size and polydispersity. However, minimum attention has been given to the effect of channel geometry on nanoprecipitation process. In our study, we investigated the effect of channel geometry and design on the size and polydispersity index (PDI) of poly (lactic-co-glycolic) acid (PLGA) NPs. Ten different designs with varied channel length, aspect ratio, number of interfaces and channel curvature were fabricated and tested. These variations were introduced to modify the diffusion rate, the interface area or to introduce Dean flow, all of which will change the mixing time . The effects of these variations were compared to that of different flow parameters. Change in channel length did not have a significant effect on particle size. However, increasing the diffusion area and reducing significantly reduced NPs’ size. Moreover, when curvature was introduced into the channel, mixing was enhanced, and particle size was decreased in a manner dependent on the velocity of the generated Dean flow. While different flow parameters continue to be the main approach for adjusting NPs properties, we demonstrate that channel geometry modification enables tuning of NPs’ size using simple designs that can be easily adapted.
Research Authors
Mahmoud Abdelkarim, Noura H. Abd Ellah, Mahmoud Elsabahy, Sara A. Abouelmagd, And Mohamed Abdelgawad
Research Journal
Colloids and Surfaces A: Physicochemical and Engineering Aspects
Research Pages
NULL
Research Publisher
Elsevier
Research Rank
1
Research Vol
Volume 611, 125774
Research Website
https://doi.org/10.1016/j.colsurfa.2020.125774
Research Year
2021

Microchannel geometry vs flow parameters for controlling nanoprecipitation of polymeric nanoparticles

Research Abstract
Channel-based microfluidics was proven to be a helpful platform for reproducible preparation of nanoparticles (NPs), where controlled mixing of fluids allows homogeneous and tuned process of NPs formation. Nanoprecipitation is a popular method for polymeric NPs formation based on controlled precipitation of a polymer upon mixing of two miscible solvents. Conventionally, flow rate, flow rate ratio and polymer concentration have been utilized to control NPs size and polydispersity. However, minimum attention has been given to the effect of channel geometry on nanoprecipitation process. In our study, we investigated the effect of channel geometry and design on the size and polydispersity index (PDI) of poly (lactic-co-glycolic) acid (PLGA) NPs. Ten different designs with varied channel length, aspect ratio, number of interfaces and channel curvature were fabricated and tested. These variations were introduced to modify the diffusion rate, the interface area or to introduce Dean flow, all of which will change the mixing time . The effects of these variations were compared to that of different flow parameters. Change in channel length did not have a significant effect on particle size. However, increasing the diffusion area and reducing significantly reduced NPs’ size. Moreover, when curvature was introduced into the channel, mixing was enhanced, and particle size was decreased in a manner dependent on the velocity of the generated Dean flow. While different flow parameters continue to be the main approach for adjusting NPs properties, we demonstrate that channel geometry modification enables tuning of NPs’ size using simple designs that can be easily adapted.
Research Authors
Mahmoud Abdelkarim, Noura H. Abd Ellah, Mahmoud Elsabahy, Sara A. Abouelmagd, And Mohamed Abdelgawad
Research Journal
Colloids and Surfaces A: Physicochemical and Engineering Aspects
Research Pages
NULL
Research Publisher
Elsevier
Research Rank
1
Research Vol
Volume 611, 125774
Research Website
https://doi.org/10.1016/j.colsurfa.2020.125774
Research Year
2021

Microchannel geometry vs flow parameters for controlling nanoprecipitation of polymeric nanoparticles

Research Abstract
Channel-based microfluidics was proven to be a helpful platform for reproducible preparation of nanoparticles (NPs), where controlled mixing of fluids allows homogeneous and tuned process of NPs formation. Nanoprecipitation is a popular method for polymeric NPs formation based on controlled precipitation of a polymer upon mixing of two miscible solvents. Conventionally, flow rate, flow rate ratio and polymer concentration have been utilized to control NPs size and polydispersity. However, minimum attention has been given to the effect of channel geometry on nanoprecipitation process. In our study, we investigated the effect of channel geometry and design on the size and polydispersity index (PDI) of poly (lactic-co-glycolic) acid (PLGA) NPs. Ten different designs with varied channel length, aspect ratio, number of interfaces and channel curvature were fabricated and tested. These variations were introduced to modify the diffusion rate, the interface area or to introduce Dean flow, all of which will change the mixing time . The effects of these variations were compared to that of different flow parameters. Change in channel length did not have a significant effect on particle size. However, increasing the diffusion area and reducing significantly reduced NPs’ size. Moreover, when curvature was introduced into the channel, mixing was enhanced, and particle size was decreased in a manner dependent on the velocity of the generated Dean flow. While different flow parameters continue to be the main approach for adjusting NPs properties, we demonstrate that channel geometry modification enables tuning of NPs’ size using simple designs that can be easily adapted.
Research Authors
Mahmoud Abdelkarim, Noura H. Abd Ellah, Mahmoud Elsabahy, Sara A. Abouelmagd, And Mohamed Abdelgawad
Research Journal
Colloids and Surfaces A: Physicochemical and Engineering Aspects
Research Pages
NULL
Research Publisher
Elsevier
Research Rank
1
Research Vol
Volume 611, 125774
Research Website
https://doi.org/10.1016/j.colsurfa.2020.125774
Research Year
2021

ON-ROAD VEHICLE CLASSIFICATION BASED ON RANDOM NEURAL NETWORK AND BAG-OF-VISUAL WORDS

Research Abstract
NULL
Research Authors
Khaled F. Hussain, Ghada Moussa
Research Department
Research Journal
Probability in the Engineering and Informational Science
Research Pages
NULL
Research Publisher
NULL
Research Rank
1
Research Vol
NULL
Research Website
NULL
Research Year
2016

A Comprehensive Study of the Effect of Spatial Resolution and Color of Digital Images on Vehicle Classification

Research Abstract
NULL
Research Authors
Khaled F. Hussain, Mahmoud Afifi,, Ghada Moussa
Research Journal
EEE Transactions on Intelligent Transportation Systems
Research Pages
NULL
Research Publisher
NULL
Research Rank
1
Research Vol
NULL
Research Website
NULL
Research Year
2018
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