9 research outputs found

    Electrical and Thermal Characterization of Electrospun PVP Nanocomposite Fibers

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    Polyvinylpyrrolidone (PVP) solutions incorporated with multiwall carbon nanotubes (MWCNTs) were electrospun at various weight percentages, and then the electrical resistance and some thermal properties of these nanocomposite fibers were determined using a high-accuracy electrical resistance measurement device. During the electrospinning process, system and process parameters, such as concentrations, applied voltage, tip-to-collector distance, and pump speeds, were optimized to receive the consistent nanocomposite fibers. When polymers are used in many industrial applications, they require high electrical and thermal conductivities. Most polymers exhibit low electrical conductivity values; however, in the presence of conductive inclusions, the electrical resistance of the MWCNT fibers was reduced from 50 MΩ to below 5 MΩ, which may be attributed to the higher electrical conductivities of these nanoscale inclusions and fewer voids under the applied loads. This study may open up new possibilities in the field for developing electrically conductive novel nanomaterials and devices for various scientific and technological applications

    Electrical and thermal characterization of electrospun PVP nanocomposite fibers

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    Polyvinylpyrrolidone (PVP) solutions incorporated with multiwall carbon nanotubes (MWCNTs) were electrospun at various weight percentages, and then the electrical resistance and some thermal properties of these nanocomposite fibers were determined using a high-accuracy electrical resistance measurement device. During the electrospinning process, system and process parameters, such as concentrations, applied voltage, tip-to-collector distance, and pump speeds, were optimized to receive the consistent nanocomposite fibers. When polymers are used in many industrial applications, they require high electrical and thermal conductivities. Most polymers exhibit low electrical conductivity values; however, in the presence of conductive inclusions, the electrical resistance of the MWCNT fibers was reduced from 50 MΩ to below 5 MΩ, which may be attributed to the higher electrical conductivities of these nanoscale inclusions and fewer voids under the applied loads. This study may open up new possibilities in the field for developing electrically conductive novel nanomaterials and devices for various scientific and technological applications

    The Autonomy Evolution in Unmanned Aerial Vehicle: Theory, Challenges and Techniques

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      The research areas in the field of UAVs have increased considerably during the last years, the research in this field is driven by the specific needs of each organization that conduct the research, There are two main research areas, the first is the operational and it is conducted by the governmental institutions and the universities, and the second is the technological and it is conducted mainly by the companies, This paper discusses the current technological research topics in the field of UAVs, focusing on the fuzzy-logic based methods which are employed in many control problems to increase the level of autonomy, the fuzzy-logic is considered as a promising hot subject which contains many active research topics and multiple potential tools for solving complex control problems to extend the UAV capabilities to perform different functions like Optimal path planning, Collision avoidance, Trajectory motion and path following autonomously without the need of the human pilot with the minimum human supervision, the paper illustrates the different levels, functions and challenges of autonomy and a comparative analysis is conducted to analyze four potential directions which are considered to be promising areas for fuzzy-logic based approaches. It also highlights the two main areas of AI research in the field of UAV autonomous flight, 1) the imitation of the human pilot and 2) the high-level applications like image evaluation, and how to tackle some of the problems in these areas with aid of fuzzy-logic based machine learning algorithms.  </p

    Nickel Spinel Ferrites: A review

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