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Experimental and Numerical Investigation on High-Pressure Centrifugal Pumps:Ultimate Pressure Formulation,Fatigue Life Assessment and Topological Optimization of Discharge Section

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Computer modeling in Engineering & Sciences 2023年第12期137卷 2845-2865页

作者： Abdourahamane Salifou Adam Hatem mrad Haykel marouani yasser Fouad School of Engineering University of Québec in Abitibi-Témiscamingue(UQAT)Rouyn-NorandaQuébecJ9X 5E4Canada National Engineering School of monastir LGMUniversity of MonastirMonastir5019Tunisia Department of Applied mechanical Engineering College of Applied EngineeringMuzahimiyah BranchKing Saud UniversityRiyadh11421Saudi Arabia

A high percentage of failure in pump elements originates from *** study focuses on the discharge section behavior,made of ductile iron,under dynamic *** experimental protocol is established to collect the strain under pressurization and depressurization tests at specific *** experimental results are used to formulate the ultimate pressure expression function of the strain and the lateral surface of the discharge section and to validate finite element ***-Safe is then used to assess the fatigue life cycle using different types of fatigue criteria(Coffin-manson,morrow,Goodman,and Soderberg).When the pressure is under 3000 PSI,pumps have an unlimited service life of 107 cycles,regardless of the ***,for a pressure of 3555 PSI,only the morrow criterion denotes a significant decrease in fatigue life cycles,as it considers the average *** topological optimization is then applied to the most critical pump model(with the lowest fatigue life cycle)to increase its fatigue *** the solid isotropic material with a penalization approach,the Abaqus Topology Optimizationmodule is *** goal is to reduce the strain energy density while keeping the volume within *** to the findings,a 5%volume reduction causes the strain energy density to decrease from 1.06 to 0.66106 J/m^(3).According to morrow,the fatigue life cycle at 3,555 PSI is 782,425 longer than the initial 309,742 cycles.

关键词： Centrifugal pump ultimate pressure fatigue life topological optimization

Intelligent Smart Grid Stability Predictive model for Cyber-Physical Energy Systems

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Computer Systems Science & Engineering 2023年第2期44卷 1219-1231页

作者： Ashit Kumar Dutta manal Al Faraj yasser Albagory mohammad zeid m Alzamil Abdul Rahaman Wahab Sait Department of Computer Science and Information Systems College of Applied SciencesAlMaarefa UniversityAd DiriyahRiyadh13713Kingdom of Saudi Arabia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Kingdom of Saudi Arabia Department of Archives and Communication King Faisal UniversityAl AhsaHofuf31982Kingdom of Saudi Arabia

A cyber physical energy system(CPES)involves a combination of pro-cessing,network,and physical *** smart grid plays a vital role in the CPES model where information technology(IT)can be related to the physical *** the same time,the machine learning(mL)modelsﬁnd useful for the smart grids integrated into the CPES for effective decision ***,the smart grids using mL and deep learning(DL)models are anticipated to lessen the requirement of placing many power plants for electricity *** this aspect,this study designs optimal multi-head attention based bidirectional long short term memory(OmHA-mBLSTm)technique for smart grid stability predic-tion in *** proposed OmHA-mBLSTm technique involves three subpro-cesses such as pre-processing,prediction,and hyperparameter *** OmHA-mBLSTm technique employs min-max normalization as a pre-proces-sing ***,the mBLSTm model is applied for the prediction of stability level of the smart grids in *** the same time,the moth swarm algorithm(mHA)is utilized for optimally modifying the hyperparameters involved in the mBLSTm *** ensure the enhanced outcomes of the OmHA-mBLSTm technique,a series of simulations were carried out and the results are inspected under several *** experimental results pointed out the better outcomes of the OmHA-mBLSTm technique over the recent models.

关键词： Stability prediction smart grid cyber physical energy systems deep learning data analytics moth swarm algorithm

Investigation on the mechanical properties of sintered porous copper compacts

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China Particuology 2007年第6期5卷 391-394页

作者： yasser m.Z. Ahmed mohamed I. Riad Ahmed I. Zaky mohammed Abdel-Aziz mohamed m.H. Shalabi Central metallurgical Research and Development Institute CMRDI El-Felzat Street El-Tabbin P.O. Box 87 Helwan Cairo Egypt

In line with recent attention on porous metals having low and medium porosities in the range of 20-50%, this paper studies the effect of porosity on the mechanical properties of sintered copper compacts. Experiments were designed to investigate the effect of porosity, applied stress and sliding velocity on the wear rate of copper compacts, leading to the finding that the effects of both porosity and applied stress of the wear test on the wear rate are approximately similar and higher than that of sliding velocity. The investigation concerning the effect of porosity on compressive strength indicated that the stress-strain curve of high-porosity compact exhibited identifiable ultimate strength points, though low-porosity compact showed distinct stages of elastic plastic behavior.

关键词： Porous copper Wear rate Compressive strength Experimental design technique

Non-uremic calciphylaxis associated with alcoholic hepatitis: A case report

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World Journal of Hepatology 2019年第1期11卷 127-132页

作者： yasser m Sammour Haitham m Saleh mohamed m Gad Brayden Healey melissa Piliang Heart and Vascular Institute Cleveland Clinic Department of Dermatology Ain Shams University College of Osteopathic medicine of the Pacific-Northwest Western University of Health Sciences Department of Dermatology Cleveland Clinic

BACKGROUND Calciphylaxis is a form of vascular calcification more commonly associated with renal disease. While the exact mechanism of calciphylaxis is poorly understood,most cases are due to end stage kidney disease. However, it can also be found in patients without kidney disease and in such cases is termed non-uremic calciphylaxis for which have multiple proposed *** SUmmARY We describe a case of a thirty-year-old morbidly obese Caucasian female who had a positive history of alcoholic hepatitis and presented with painful calciphylaxis wounds of the abdomen, hips, and thighs. The hypercoagulability panel showed low levels of Protein C and normal Protein S, low Antithrombin Ⅲ and positive lupus anticoagulant and negative anticardiolipin. Wound biopsy confirmed the diagnosis of non-uremic calciphylaxis in the setting of alcoholic liver disease. The calciphylaxis wounds did not improve when Sodium Thiosulfate was used alone. The patient underwent a series of bedside and surgical debridement. Broad spectrum antibiotics were also used for secondary wound bacterial infections. The patient passed away shortly after due to sepsis and multiorgan *** Non-uremic Calciphylaxis can occur in the setting of alcoholic liver disease. The treatment of choice is still unknown.

关键词： Calciphylaxis Alcoholic hepatitis Vascular calcification Sodium thiosulfate Debridement Case report

Acetylcholinesterase,butyrylcholinesterase and paraoxonase 1 activities in rats treated with cannabis,tramadol or both

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Asian Pacific Journal of Tropical medicine 2016年第11期9卷 1066-1071页

作者： Omar m.E.Abdel-Salam Eman R.Youness yasser A.Khadrawy Amany A.Sleem Department of Toxicology and Narcotics National Research Centre Cairo Department of medical Biochemistry National Research Centre Cairo Department of Physiology National Research Centre Cairo Department of Pharmacology National Research Centre Cairo

Objective:To investigate the effect of Cannabis sativa resin and/or tramadol,two commonly drugs of abuse on acetylcholinesterase and butyrylcholinesterase activities as a possible cholinergic biomarkers of neurotoxicity induced by these ***:rats were treated with cannabis resin(5,10 or 20 mg/kg)(equivalent to the active constituent A'-tetrahydrocannabinol),tramadol(5,10 and 20 mg/kg) or tramadol(10 mg/kg)combined with cannabis resin(5,10 and 20 mg/kg) subcutaneously daily for 6 ***(AChE) and butyrylcholinesterase(BChE) activities were measured in brain and *** also measured the activity of paraoxonase-1(PONl) in serum of rats treated with these ***:(i) AChE activity in brain increased after 10-20 mg/kg cannabis resin(by 16.3%-36.5%).AChE activity in brain did not change after treatment with 5-20 mg/kg *** administration of both cannabis resin(5,10 or 20 mg/kg) and tramadol(10 mg/kg) resulted in decreased brain AChE activity by 14.1%,12.9%and 13.6%,respectively;(ii) BChE activity in serum was markedly and dose-dependenlly inhibited by cannabis resin(by 60.9%-76.9%).BChE activity also decreased by 17.6%-36.5%by 10-20mg/kg tramadol and by 57.2%-63.9%by the cannabis resin/tramadol combined treatment;(iii)Cannabis resin at dose of 20 mg/kg increased serum PONl activity by 25.7%.In contrast,tramadol given at 5,10 and 20 mg/kg resulted in a dose-dependent decrease in serum PON1 activity by 19%,36.7%,and 46.1%,***,treatment with cannabis resin plus tramadol resulted in 40.2%,35.8%,30.7%inhibition of PONl activity compared to the saline ***:these data suggest that cannabis resin exerts different effects on AChE and BChE activities which could contribute to the memory problems and the decline in cognitive function in chronic users.

关键词： Cannabis sativa Tramadol Cholinesterases memory Cognitive decline

Developing an Automated Land Cover Classifier Using LiDAR and High Resolution Aerial Imagery

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Journal of Geoscience and Environment Protection 2016年第7期4卷 97-110页

作者： yasser m. Ayad Department of Biology and Geosciences Clarion University of Pennsylvania Clarion USA

The aim of this project is to create high resolution land cover classification as well as tree canopy density maps at a regional level using high resolution spatial data. modeling and the data manipulation and analysis of LiDAR LAS point cloud dataset as well as multispectral aerial photographs from the National Agriculture Imagery Program (NAIP) were carried out. Using geoprocessing modeling, a land cover map is created based on filtered returns from LiDAR point cloud data (LAS dataset) to extract features based on their class and return values, and traditional classification methods of high resolution multi-spectral aerial photographs of the remaining ground cover for Clarion County in Pennsylvania. The newly developed model produced 7 classes at 10 ft × 10 ft spatial resolution, namely: water bodies, structures, streets and paved surfaces, bare ground, grassland, trees, and artificial surfaces (e.g. turf). The model was tested against areas with different sizes (townships and municipalities) which revealed a classification accuracy between 94% and 96%. A visual observation of the results shows that some tree-covered areas were misclassified as built up/structures due to the nature of the available LiDAR data, an area of improvement for further studies. Furthermore, a geoprocessing service was created in order to disseminate the results of the land cover classification as well as the tree canopy density calculation to a broader audience. The service was tested and delivered in the form of a web application where users can select an area of interest and the model produces the land cover and/or the tree canopy density results (http://***/LandCoverExtractor). The produced output can be printed as a final map layout with the highlighted area of interest and its corresponding legend. The interface also allows the download of the results of an area of interest for further investigation and/or analysis.

关键词： Land Cover Land Cover Classification LiDAR High Resolution Imagery Hybrid Classification Remote Sensing GIS

Role of compositional changes on thermal,magnetic,and mechanical properties of Fe-P-C-based amorphous alloys

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Chinese Physics B 2022年第1期31卷 472-479页

作者： Indah Raya Supat Chupradit mustafa m Kadhim mustafa Z mahmoud Abduladheem Turki Jalil Aravindhan Surendar Sukaina Tuama Ghafel yasser Fakri mustafa Alexander N Bochvar Chemistry Department Faculty of Mathematics and Natural ScienceHasanuddin UniversityMakassarSouth Sulawesi90245Indonesia Department of Occupational Therapy Faculty of Associated Medical SciencesChiang Mai UniversityChiang Mai50200Thailand Department of Dentistry Kut University CollegeKutWasit52001Iraq College of Technical Engineering The Islamic UniversityNajafIraq Department of Pharmacy Osol Aldeen University CollegeBaghdadIraq Department of Radiology and medical Imaging College of Applied Medical SciencesPrince Sattam Bin Abdulaziz UniversityAl-Kharj 11942Saudi Arabia Faculty of Health University of CanberraCanberraACTAustralia Faculty of Biology and Ecology Yanka Kupala State University of Grodno230023 GrodnoBelarus Department of Pharmacology Saveetha Dental College and HospitalSaveetha Institute of Medical and Technical SciencesChennaiIndia Scientific Research Center Al-Ayen UniversityThi-Qar64001Iraq Department of Pharmaceutical Chemistry College of PharmacyUniversity of MosulMosulIraq Department of materials Physics Eotvos Lorand UniversityPázmány Péter sétány 1/ABudapest1117Hungary

This work aimed to tune the comprehensive properties of Fe-P-C-based amorphous system through investigating the role of microalloying process on the crystallization behavior,glass forming ability(GFA),soft magnetic features,and mechanical *** minor addition of elements into the system,it was found that the simultaneous microalloying of Ni and Co leads to the highest GFA,which was due to the optimization of compositional heterogeneity and creation of near-eutectic ***,the FeCoNiCuPC amorphous alloy exhibited the best anelastic/viscoplastic behavior under the nanoindentation test,which was owing to the intensified structural fluctuations in the ***,the improved plasticity by the extra Cu addition comes at the expense of magnetic properties,so that the saturation magnetization of this alloying system is significantly decreased compared to the FeCoPC amorphous alloy with the highest soft magnetic *** total,the results indicated that a combination of added elemental constitutes,i.e.,Fe69Co5Ni5Cu1P13C7 composition,provides an optimized state for the comprehensive properties in the alloying system.

关键词： Fe-based alloy saturation magnetization glass forming ability viscoplastic

DeepSun:machine-learning-as-a-service for solar flare prediction

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Research in Astronomy and Astrophysics 2021年第7期21卷 51-61页

作者： yasser Abduallah Jason T.L.Wang Yang Nie Chang Liu Haimin Wang Institute for Space Weather Sciences New Jersey Institute of TechnologyUniversity HeightsNewarkNJ 07102-1982USA Department of Computer Science New Jersey Institute of TechnologyUniversity HeightsNewarkNJ 07102-1982USA Big Bear Solar Observatory New Jersey Institute of Technology40386 North Shore LaneBig Bear CityCA 92314-9672USA Center for Solar-Terrestrial Research New Jersey Institute of TechnologyUniversity HeightsNewarkNJ 07102-1982USA

Solar flare prediction plays an important role in understanding and forecasting space *** main goal of the Helioseismic and magnetic Imager(HmI), one of the instruments on NASA's Solar Dynamics Observatory, is to study the origin of solar variability and characterize the Sun's magnetic *** provides continuous full-disk observations of the solar vector magnetic field with high cadence data that lead to reliable predictive capability;yet, solar flare prediction effort utilizing these data is still limited. In this paper, we present a machine-learning-as-a-service(mLaa S) framework, called Deep Sun,for predicting solar flares on the web based on HmI's data products. Specifically, we construct training data by utilizing the physical parameters provided by the Space-weather HmI Active Region Patch(SHARP)and categorize solar flares into four classes, namely B, C, m and X, according to the X-ray flare catalogs available at the National Centers for Environmental Information(NCEI). Thus, the solar flare prediction problem at hand is essentially a multi-class(i.e., four-class) classification problem. The Deep Sun system employs several machine learning algorithms to tackle this multi-class prediction problem and provides an application programming interface(API) for remote programming users. To our knowledge, Deep Sun is the first mLaa S tool capable of predicting solar flares through the internet.

关键词： Sun:flares Sun:activity methods:data analysis

multigrid method for the Numerical Solution of the modified Equal Width Wave Equation

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Applied mathematics 2016年第10期7卷 1140-1147页

作者： yasser m. Abo Essa mathematics Department Faculty of Education and Science (AL-Khurmah Branch) Taif University Taif Kingdom of Saudi Arabia

Numerical solutions of the modified equal width wave equation are obtained by using the multigrid method and finite difference method. The motion of a single solitary wave, interaction of two solitary waves and development of the maxwellian initial condition into solitary waves are studied using the proposed method. The numerical solutions are compared with the known analytical solutions. Using error norms and conservative properties of mass, momentum and energy, accuracy and efficiency of the mentioned method will be established through comparison with other methods.

关键词： multigrid method Finite Difference method mEW Equation