The Experts below are selected from a list of 8340 Experts worldwide ranked by ideXlab platform
Chuanhua Chen - One of the best experts on this subject based on the ideXlab platform.
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self Cleaning of superhydrophobic surfaces by self propelled jumping condensate
Proceedings of the National Academy of Sciences of the United States of America, 2013Co-Authors: Katrina M Wisdom, Xiaopeng Qu, Fangjie Liu, Jolanta A. Watson, Gregory S. Watson, Chuanhua ChenAbstract:The self-Cleaning function of superhydrophobic surfaces is conventionally attributed to the removal of contaminating particles by impacting or rolling water droplets, which implies the action of external forces such as gravity. Here, we demonstrate a unique self-Cleaning Mechanism whereby the contaminated superhydrophobic surface is exposed to condensing water vapor, and the contaminants are autonomously removed by the self-propelled jumping motion of the resulting liquid condensate, which partially covers or fully encloses the contaminating particles. The jumping motion off the superhydrophobic surface is powered by the surface energy released upon coalescence of the condensed water phase around the contaminants. The jumping-condensate Mechanism is shown to spontaneously clean superhydrophobic cicada wings, where the contaminating particles cannot be removed by gravity, wing vibration, or wind flow. Our findings offer insights for the development of self-Cleaning materials.
Hongzhi Zhang - One of the best experts on this subject based on the ideXlab platform.
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Mechanism design of an insulator Cleaning robot for suspension insulator strings
Robotics and Biomimetics, 2015Co-Authors: Lin Wang, Hongguang Wang, Yong Chang, Xinan Pan, Hongzhi ZhangAbstract:Cleaning contaminated insulators is an effective way to protect power transmission lines from accidental power outages caused by flashovers due to wet polluted insulators. Traditional Cleaning methods are risky, inefficient, expensive and labor-intensive. This paper presents an insulator Cleaning robot Mechanism which is mainly consisted of locomotion Mechanism, Cleaning Mechanism and the frame. The structure is introduced and the principles of moving and Cleaning are analyzed. The kinematic equations are established. Simulation results of the downward moving process prove the robot is able to move along the suspension insulator string and has such advantages as stability, large load carrying capacity and adaptability to dimensional variations of the insulator.
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ROBIO - Mechanism design of an insulator Cleaning robot for suspension insulator strings
2015 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2015Co-Authors: Lin Wang, Hongguang Wang, Yong Chang, Xinan Pan, Hongzhi ZhangAbstract:Cleaning contaminated insulators is an effective way to protect power transmission lines from accidental power outages caused by flashovers due to wet polluted insulators. Traditional Cleaning methods are risky, inefficient, expensive and labor-intensive. This paper presents an insulator Cleaning robot Mechanism which is mainly consisted of locomotion Mechanism, Cleaning Mechanism and the frame. The structure is introduced and the principles of moving and Cleaning are analyzed. The kinematic equations are established. Simulation results of the downward moving process prove the robot is able to move along the suspension insulator string and has such advantages as stability, large load carrying capacity and adaptability to dimensional variations of the insulator.
Katrina M Wisdom - One of the best experts on this subject based on the ideXlab platform.
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self Cleaning of superhydrophobic surfaces by self propelled jumping condensate
Proceedings of the National Academy of Sciences of the United States of America, 2013Co-Authors: Katrina M Wisdom, Xiaopeng Qu, Fangjie Liu, Jolanta A. Watson, Gregory S. Watson, Chuanhua ChenAbstract:The self-Cleaning function of superhydrophobic surfaces is conventionally attributed to the removal of contaminating particles by impacting or rolling water droplets, which implies the action of external forces such as gravity. Here, we demonstrate a unique self-Cleaning Mechanism whereby the contaminated superhydrophobic surface is exposed to condensing water vapor, and the contaminants are autonomously removed by the self-propelled jumping motion of the resulting liquid condensate, which partially covers or fully encloses the contaminating particles. The jumping motion off the superhydrophobic surface is powered by the surface energy released upon coalescence of the condensed water phase around the contaminants. The jumping-condensate Mechanism is shown to spontaneously clean superhydrophobic cicada wings, where the contaminating particles cannot be removed by gravity, wing vibration, or wind flow. Our findings offer insights for the development of self-Cleaning materials.
David M Phinney - One of the best experts on this subject based on the ideXlab platform.
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identification of residual nano scale foulant material on stainless steel using atomic force microscopy after clean in place
Journal of Food Engineering, 2017Co-Authors: David M Phinney, Kylee R Goode, P J Frye, Dennis R Heldma, Serafim AkalisAbstract:Abstract During clean-in-place (CIP), solutions are pumped through process equipment to remove soils. In order to validate reductions in CIP inputs, foulants need to be detectable and quantifiable on smaller scales than current industrial practices. In this study, fluorescent microscopy was used for quantifying macroscopic cleanliness of a soiled stainless steel coupon after CIP. An asymptotic model was used to describe the removal of soil as a function of the coupon exposure time and Cleaning solution temperature. From these models, Cleaning parameters were determined and used to generate coupons predicted to be 99.0 and 99.9% clean. This cleanliness was verified using atomic force microscopy (AFM). AFM identified foulant on the order of 5 μm 2 on a 1.0 × 10 4 μm 2 area. AFM showed cleanliness ranging from 99.41 to 99.94%. Differences between predicted and actual cleanliness suggest a change in Cleaning Mechanism at different scales.
M. M. Wagh - One of the best experts on this subject based on the ideXlab platform.
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Design Optimization, Automation and Testing Analysis of Dust Cleaning Mechanism for Solar Photovoltaic Power Plant
Innovative Design Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2018), 2019Co-Authors: P. A. Patil, J. S. Bagi, M. M. Wagh, G S PatilAbstract:Dust accumulation (also known as soiling) on the surface of solar panels decreases the amount of sunlight reaching the solar photovoltaic panels, and thus, the efficiency of the solar panel is severely affected. To harness their designed capacity to its fullest, they need to be cleaned periodically, usually with water. Due to water scarcity in some areas, Cleaning becomes difficult, challenging, and subsequently costly. Nowadays, these factors, dust and dirt, have become crucial for research since they have a significant effect on conversion efficiency. If proper Cleaning Mechanisms are used, then it may show about 25% improvement in output energy or about 15–20% enhancement in conversion efficiency. Hence, rigorous study of solar panel automated Cleaning Mechanism is vital. The paper reveals the study of dust with its accumulation, design optimization, and testing of dust Cleaning Mechanism. The optimization is done by considering different materials and their properties. The optimization helps to improve the performance by considering the parameters like strength, stiffness, durability, availability. The Cleaning Mechanism is operated by 12 V DC motors with the help of rack and pinion Mechanism. The Arduino board microcontroller is used for the automation purpose with motor drivers and limit switches. The absolute efficiency with dust and without dust is considered for performance comparison of the Mechanism. The trial of designed and developed Mechanism is conducted on two panels of 250 W each of polycrystalline silicon solar panel, and it is found that the power generated by clean panel is 2.1 kWh, while the power generated by dusty panel is 1.59 kWh. The increase of power production by Cleaning Mechanism is 450 Wh while the power required to Cleaning Mechanism is 3.198 Wh.
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A review on Cleaning Mechanism of solar photovoltaic panel
2017 International Conference on Energy Communication Data Analytics and Soft Computing (ICECDS), 2017Co-Authors: P. A. Patil, J. S. Bagi, M. M. WaghAbstract:Accumulation of dust (also known as soiling) on the surface of solar panels decreases the amount of sunlight reaching the solar cells underneath and thus the efficiency of the solar panel is severely impacted. To harness their designed capacity to its fullest, they need to be cleaned periodically, usually with water. Due to water scarcity in some area, Cleaning becomes difficult, challenging and subsequently costly. Solar Photovoltaic conversion technique of is largely used as a pioneer and efficient conversion of solar energy. Many factors govern Solar Photovoltaic energy conversions efficiency like solar intensity, the area of the module, semiconductor, tracking Mechanisms, dust, and dirt etc. Nowadays among these factors dust and dirt has become crucial for research since they have a significant effect on conversion efficiency. If proper Cleaning Mechanisms are used then, it may show about 25% improvement in output energy or about 15 to 20% enhancement in conversion efficiency. Hence, rigorous study of SPVC automated Cleaning Mechanism is vital. This paper discusses a comprehensive overview of dust problem and the recent developments made on automated Cleaning system of solar photovoltaic modules which gives a brief overview of techniques like electrical, mechanical, chemical and electrostatic. The main objective of the study is to review the literature on solar photovoltaic module automated Cleaning techniques for identifying research gaps in the automated Cleaning systems.