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Advanced nano membrane for an alkaline Fuel Cell
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Abstract<p>Structural and optical properties were studied as a function of Nano membrane after prepared, for tests. Nano membrane was deposited by the spray coating method on substrates (glass) of thickness 100 mm. The X-ray diffraction spectra of (CNTs, WO3) were studied. AFM tests are good information about the roughness, It had been designed electrolysis cell and fuel cell. Studies have been performed on electrochemical parameters.</p>
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Publication Date
Thu Apr 18 2019
Journal Name
Iraqi Journal Of Science
Fabrication and Study of Nano catalysis for Alkaline Fuel Cell
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In this paper the manufacture of an alkaline fuel cell electrodes made upfrom a Nano mesh (Pt:NiO) catalyst has been studying , made from a Nano mesh (Pt:NiO ) catalyst. The general morphology of the samples is were imaged by using with the an Atomic Force Microscope (AFM) to determine the roughness of the prepared surface, it constructed from nanostructure with dimensions in order of 35 nm. The Structural characteristics were studied through the analysis of X-ray diffraction (XRD) of the prepared nanomaterial for determining the yielding phase;1. 72 volt was also obtained at 0.02 A/cm2 current density for an alkaline fuel cell.

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Publication Date
Wed May 01 2019
Journal Name
Iraqi Journal Of Science
Fabrication and Study of Nano catalysis for Alkaline Fuel Cell
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Publication Date
Tue Apr 21 2020
Journal Name
University Of Thi-qar Journal Of Science (university Of Thi-qar Journal Of Science (utsci) The 4th Scientific Conference Of Science College/ University Of Thi_qari) The 4th Scientific Conference Of Science College/ University Of Thi_qar
Enhancement of Nano Catalyst for an Alkaline Fuel Cells
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Publication Date
Sun Mar 01 2020
Journal Name
Iop Conference Series: Materials Science And Engineering
Characterization of nickel oxide nanocatalyst electrodes for an alkaline fuel cell
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Abstract<p>In this paper had been studied the characterization of the nanocatalyst (NiO) Mesh electrodes. For fuel cell. The catalyst is prepared and also the electrodes The structural were studied through the analysis of X-ray diffraction of the prepared nanocatalyst for determining the yielding phase and atomic force microscope to identify the roughness of prepared catalyst surface, Use has been nanocatalyst led to optimization of cell voltage, current densities & power for a fuel cell.</p>
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Publication Date
Fri Feb 01 2019
Journal Name
Indian Journal Of Natural Sciences
Design and Test of Electrochemistry of Electrodes Catalysis for an Alkaline Fuel Cell
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Publication Date
Mon Jul 01 2019
Journal Name
Journal Of Physics: Conference Series
Development of carbon nanotubes catalyst supported for alkaline fuel cell technology
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Abstract<p>Study of the development of an activated carbon nanotube catalyst for alkaline fuel cell technology. Through the prepared carbon nanotubes catalyst by an electrochemical deposition technique. Different analytical approaches such as X-ray diffraction (XRD) to determine the structural properties and Scanning Electron Microscope (SEM), were used to characterize, Mesh stainless steel catalyst substrate had an envelope structure and a large surface area. Voltages were also obtained at 1.83 V and current at 3.2 A of alkaline fuel cell. In addition, study the characterization of the electrochemical parameters.</p>
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Publication Date
Sat Sep 01 2018
Journal Name
International Science And Engineering Congress Book
Preparation platinum Nano catalysts for Fabricating membranes fuel cell
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Publication Date
Thu Aug 01 2024
Journal Name
Journal Of Engineering Research
Design, analysis and development of a proton exchange membrane in fuel cell
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Publication Date
Thu Nov 21 2019
Journal Name
Journal Of Engineering
A Neural Networks based Predictive Voltage-Tracking Controller Design for Proton Exchange Membrane Fuel Cell Model
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In this work, a new development of predictive voltage-tracking control algorithm for Proton Exchange Membrane Fuel Cell (PEMFCs) model, using a neural network technique based on-line auto-tuning intelligent algorithm was proposed. The aim of proposed robust feedback nonlinear neural predictive voltage controller is to find precisely and quickly the optimal hydrogen partial pressure action to control the stack terminal voltage of the (PEMFC) model for N-step ahead prediction. The Chaotic Particle Swarm Optimization (CPSO) implemented as a stable and robust on-line auto-tune algorithm to find the optimal weights for the proposed predictive neural network controller to improve system performance in terms of fast-tracking de

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Publication Date
Thu Mar 18 2021
Journal Name
Egyptian Journal Of Chemistry
Investigation of the Influence of Membrane Type on the Performance of Microbial Fuel Cell
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