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Particle Characterization and Stability of Nanofluid Prepared from Palm Kernel Fibre with mixture of Water and Ethylene Glycol as Base Fluid

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Journal of mechanics Engineering and Automation 2022年第1期12卷 23-28页

作者： J.T.Awua J.S.Ibrahim m.sharifpur J.P.meyer Department of mechanical Engineering Federal University of Agriculture Makurdi970101 Nigeria Dept.of mech.and Aeronautical Eng. University of PretoriaPretoria0028 South Africa

Nanoparticles are generally characterized by their size,morphology and surface charge using such advanced microscopic techniques as SEm(scanning electron microscopy),TEm(transmission electron microscopy)and XRD(X-ray diffraction).The average particle diameter,size distribution and charge affect the physical stability and the entire distribution of the *** this paper,the PKF(palm kernel fibre)nanofluid was prepared and characterized using TEm,SEm and *** TEm results showed a mixture of different particle sizes with the lowest size measuring a diameter of 100 *** SEm showed particles of different shapes and distributions with some possible level of *** stability of the nanofluid was evaluated using sedimentation by retention time and the spectrophotometric *** the retention time method,the volume of the supernatant of the nanofluid sample was carefully measured using a 25 mL beaker and a pipette,and the solution was left for a period of time(two weeks),and then the supernatant was measured again.A constant volume supernatant was obtained though with little sedimentation,and that indicated a stable ***-Vis(ultra aviolet-visible spectrophotometer)spectrum of the nanoparticles prepared with 0.01,0.02 and 0.03wt%concentrations were *** absorbance was measured with a start wavelength 230 nm and an end wavelength of 900 *** peak absorbance for each of the volume fractions was observed at 290,299 and 298 nm wavelengths by scanning.A quantum leap in wavelength above the listed range was an indication of instability at some point in the fluid.A good particle size correlation between the SEm,XRD and TEm measurements was observed.

关键词： Nanoparticles characterization stability PKF nanofluid

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modeling CO_(2)Emission in Residential Sector of Three Countries in Southeast of Asia by Applying Intelligent Techniques

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Computers, materials & Continua 2023年第3期74卷 5679-5690页

作者： mohsen sharifpur mohamed Salem Yonis m Buswig Habib Forootan Fard Jaroon Rungamornrat Clean Energy Research Group Department of Mechanical and Aeronautical EngineeringEngineering IIIUniversity of PretoriaPretoriaSouth Africa Department of medical Research China Medical University HospitalChina Medical UniversityTaichungTaiwanChina School of Electrical and Electronic Engineering Universiti Sains Malaysia(USM)Nibong Tebal14300PenangMalaysia Institute of Sustainable and Renewable Energy ISuRE Faculty of EngineeringUniversityMalaysia Sarawak Department of Renewable Energies Faculty of New Sciences and TechnologiesUniversity of TehranTehranIran Center of Excellence in Applied mechanics and Structures Department of Civil EngineeringFaculty of EngineeringChulalongkorn UniversityBangkok10330Thailand

Residential sector is one of the energy-consuming districts of countries that causes CO_(2)emission in large *** this regard,this sector must be considered in energy policy making related to the reduction of emission of CO_(2)and other greenhouse *** the present work,CO_(2)emission related to the residential sector of three countries,including Indonesia,Thailand,and Vietnam in Southeast Asia,are discussed and modeled by employing Group method of Data Handling(GmDH)and multilayer Perceptron(mLP)neural networks as powerful intelligent *** to modeling,data related to the energy consumption of these countries are represented,discussed,and ***,to propose a model,electricity,natural gas,coal,and oil products consumptions are applied as inputs,and CO_(2)emission is considered as the model’s *** obtained R^(2) values for the generated models based on mLP and GmDH are 0.9987 and 0.9985,***,values of the Average Absolute Relative Deviation(AARD)of the regressions using the mentioned techniques are around 4.56%and 5.53%,*** values reveal significant exactness of the models proposed in this article;however,making use of mLP with the optimal architecture would lead to higher accuracy.

关键词： CO_(2)emission GmDH mLP intelligent techniques energy consumption

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