The Experts below are selected from a list of 17247 Experts worldwide ranked by ideXlab platform
Magnus Willander - One of the best experts on this subject based on the ideXlab platform.
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mechanical and piezoelectric properties of zinc oxide nanorods grown on conductive Textile Fabric as an alternative substrate
Journal of Physics D, 2014Co-Authors: Azam Khan, Mushtaque Hussain, Omer Nur, Magnus WillanderAbstract:The present research is devoted to understanding the mechanism and causes of variation in the piezoelectric potential generated from vertically aligned zinc oxide (ZnO) nanorods (NRs), which were grown on a conductive Textile Fabric as an alternative substrate by using the aqueous chemical growth method. The piezoelectric voltage was harvested from vertically aligned ZnO NRs having different physical parameters by using atomic force microscopy in contact mode and the variation in the generated piezoelectricity was investigated. The generated output potential indicates that different physical parameters such aspect ratio, crystal size and lattice internal crystal strain have a strong influence on the piezoelectric properties of vertically aligned ZnO NRs, which were grown on a Textile Fabric. Presented results indicate that Textiles can be used as an alternative substrate just like the other conventional substrates, because our results are similar/better than many reported works on conventional substrates.
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harvesting piezoelectric potential from zinc oxide nanoflowers grown on Textile Fabric substrate
Physica Status Solidi-rapid Research Letters, 2013Co-Authors: Azam Khan, Mazhar Ali Abbasi, Omer Nur, Jonas Wissting, Magnus WillanderAbstract:It seems that nowadays the world is becoming as a small village due to the advancement in communication devices technology. These devices are playing an important role in the wellbeing of our life as almost each and every person is utilizing at least one of these devices. These devices consume energy and with our increased use of technology, we are faced with energy crises. Therefore, the research community is keen in trying to explore alternative resources. One possibility is to search for the alternative resources from our environment. The attempt in this thesis was to utilize the piezoelectric properties by harvesting electrical energy from nanostructures. By utilizing the piezoelectric property of some materials, mechanical energy can be harvested as electrical output. It is worth mention that the ambient mechanical energy is the most available source of energy around us. Hence it is of interest to utilize it to develop future smart devices having the self-powered property. In this connection various experimental and mathematical techniques have been utilized for achieving this target.In this thesis zinc oxide (ZnO) nanostructures grown on Textile substrates were the material. The use of Textile as substrate is quite unique property of the presented work. Since Textile is an essential and fundamental component of our everyday lives, therefore the use of Textile as substrate can pave the way for the Fabrication of novel self-powered devices. As in comparison with conventional and expensive substrates Textile is very economical, lightweight, highly flexible, recyclable, reproducible, disposable, wearable and washable.I started my research work by integrating ZnO nanorods based nanogenerator on conductive Textile fiber for the analysis of piezoelectric properties of ZnO nanorods. The acceptance of my work among the research community encouraged me to continue with it in order to improve the performance of the Fabricated device. It is well known that piezoelectricity is a linear electromechanical coupling of the material in which mechanical energy is converted into electrical energy. Therefore, the piezoelectric properties of ZnO nanorods were investigated with regard to different physical parameters. In the electromechanical phenomena the analysis of the direct and the converse piezoelectric effect is also critical if conductive Textile is used as a substrate. Therefore analysis of the direct and the converse piezoelectric effect was performed for ZnO nanowires grown on conductive Textile fiber by using the nanoindentation method.Since the morphology of ZnO nanostructures can have an influence on the piezoelectric properties, the energy harvesting properties of ZnO nanoflowers were investigated and the achieved results confirmed that morphology has a strong influence on the piezoelectric properties. In addition, since there is an interest to generate a direct current (DC) piezoelectricity, a Schottky junction Fabricated to one side of the nanogenerator material is needed. Therefore, ZnO nanorods based Schottky diode (Cu/ZnO) on Textile Fabric was Fabricated and investigated. Moreover, frequency dependence electrical characterization was performed for analysis of current-transport properties of another Schottky diode (Au/ZnO) for understanding the carrier flow at the interface of the metal-semiconductor. Nevertheless, the consistency and stability of the constructed devices (ZnO nanogenerators and Schottky diodes) need some additional work to overcome these problems to achieve commercial realization of these devices in the future.
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Study of transport properties of copper/zinc-oxide-nanorods-based Schottky diode Fabricated on Textile Fabric
Semiconductor Science and Technology, 2013Co-Authors: Azam Khan, Mushtaque Hussain, Mazhar Ali Abbasi, Zafar Hussain Ibupoto, Omer Nur, Magnus WillanderAbstract:In this work, a copper/zinc-oxide (ZnO)-nanorods-based Schottky diode was Fabricated on the Textile Fabric substrate. ZnO nanorods were grown on a silver-coated Textile Fabric substrate by using th ...
Feipeng Jiao - One of the best experts on this subject based on the ideXlab platform.
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a magnetic ph induced Textile Fabric with switchable wettability for intelligent oil water separation
Chemical Engineering Journal, 2018Co-Authors: Tao Yan, Xiaoqing Chen, Taiheng Zhang, Xinyu Jiang, Feipeng JiaoAbstract:Abstract Wastewater discharged in human daily life, and oil spill accidents occurred frequently. The novel interface materials used for controllable oil/water separation have gained more and more attention. In this work, a facile, environmentally friendly approach is presented to Fabricate a magnetic Textile Fabric with pH-controllable wettability between superhydrophobicty and superhydrophilicity. We prepared this magnetic Textile Fabric by immersing in lauric acid (LA)-TiO2 composites and Fe3O4 nanoparticles. The resulted pH-conrtollable Textile Fabric possessed selective separation performance for oil/water mixtures with efficiency higher than 99% and high flux for oil (11,000 L h−1 m−2). Moreover, the magnetic material is recyclable, the detailed experiments were conducted in this work for 25 cycles of oil/water mixture separation remaining unchangeable separation efficiency (>98%). For neutral water (e.g., at pH 7), the novel Fe3O4/LA-TiO2 Textile Fabric demonstrated superhydrophobicity/ superoleophilicity in air. For alkaline water (e.g., at pH 12), the Textile Fabric showed superhydrophilicity and underwater superoleophobicity. The Fe3O4/LA-TiO2 Textile Fabric could separate a series of light or heavy oil/water mixtures with high separation efficiency up to 99.1%, high oil flux of 7400–11,000 L h−1 m−2 and water flux of 5300–5700 L h−1 m−2. In addition, thermal stability (∼180 °C) and long exposure to ultraviolet rays showed that the Textile Fabric was stable in harsh environment. The Textile Fabric can be easily removed through a magnet due to its magnetic properties. It can be concluded from the results that Fe3O4/LA-TiO2 Textile Fabric is a good candidate for practical applications, such as water restoration and oil-spill treatment.
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A magnetic pH-induced Textile Fabric with switchable wettability for intelligent oil/water separation
Chemical Engineering Journal, 2018Co-Authors: Tao Yan, Xiaoqing Chen, Taiheng Zhang, Xinyu Jiang, Feipeng JiaoAbstract:Abstract Wastewater discharged in human daily life, and oil spill accidents occurred frequently. The novel interface materials used for controllable oil/water separation have gained more and more attention. In this work, a facile, environmentally friendly approach is presented to Fabricate a magnetic Textile Fabric with pH-controllable wettability between superhydrophobicty and superhydrophilicity. We prepared this magnetic Textile Fabric by immersing in lauric acid (LA)-TiO2 composites and Fe3O4 nanoparticles. The resulted pH-conrtollable Textile Fabric possessed selective separation performance for oil/water mixtures with efficiency higher than 99% and high flux for oil (11,000 L h−1 m−2). Moreover, the magnetic material is recyclable, the detailed experiments were conducted in this work for 25 cycles of oil/water mixture separation remaining unchangeable separation efficiency (>98%). For neutral water (e.g., at pH 7), the novel Fe3O4/LA-TiO2 Textile Fabric demonstrated superhydrophobicity/ superoleophilicity in air. For alkaline water (e.g., at pH 12), the Textile Fabric showed superhydrophilicity and underwater superoleophobicity. The Fe3O4/LA-TiO2 Textile Fabric could separate a series of light or heavy oil/water mixtures with high separation efficiency up to 99.1%, high oil flux of 7400–11,000 L h−1 m−2 and water flux of 5300–5700 L h−1 m−2. In addition, thermal stability (∼180 °C) and long exposure to ultraviolet rays showed that the Textile Fabric was stable in harsh environment. The Textile Fabric can be easily removed through a magnet due to its magnetic properties. It can be concluded from the results that Fe3O4/LA-TiO2 Textile Fabric is a good candidate for practical applications, such as water restoration and oil-spill treatment.
Toshihiro Shinohara - One of the best experts on this subject based on the ideXlab platform.
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IECON - Estimation of filament orientation in three dimensional CT image of Textile Fabric based on principal component analysis
IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, 2014Co-Authors: Toshihiro ShinoharaAbstract:In this paper, a method to estimate a filament orientation is proposed in a three dimensional computer tomography (3D CT) image of a Textile Fabric for a structure analysis. In this study, yarn positional information is obtained as the structure analysis of the Textile Fabric by using the estimated filament orientation at each voxel of the 3D CT image. In previous study, the filament orientation was estimated by correlating a filament model, which is cylindrical solid model, with the 3D CT image. Since the maximum value of the correlation is calculated by an iterative calculation method, an extraordinary amount of time is required to estimate the filament orientation over the 3D CT image. In this paper, a different approach to estimate the filament orientation is proposed in order to shorten the processing time: a principal component analysis-based method is proposed. The axis of the first principal component is regarded as the filament orientation. The validity of the proposed method is confirmed by experimentally applying the proposed method to actual Textile Fabric. The effectiveness of the proposed method is then indicated by comparing the processing times of the filament orientation estimation by the proposed and previous methods.
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expression of individual woven yarn for structure analysis of Textile Fabric based on fuzzy clustering of three dimensional ct image
Conference of the Industrial Electronics Society, 2011Co-Authors: Toshihiro ShinoharaAbstract:In this paper, a method to express individual woven yarns is proposed for structure analysis of a Textile Fabric with its three-dimensional (3D) X-ray computed tomography (CT) image. In this method, the voxels of the 3D CT image are segmented into each yarn by using the yarn positional information, which is a sequence of the yarn center points. The positional information is obtained by tracing the yarn. The yarn is traced by sequentially estimating its center and orientation. The center and orientation are estimated by correlating the voxel values with a solid model of the yarn. The voxels of the 3D CT image are segmented into each yarn based on a fuzzy c-means clustering method using the distance between the voxel and the obtained yarn positional information. Each individual yarn is expressed by the volume-rendering technique with the segmented voxels. The effectiveness of the proposed yarn expression method is confirmed by experimentally applying this method to the 3D image of a plain knitted Fabric.
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extraction of yarn positional information from a three dimensional ct image of Textile Fabric using yarn tracing with a filament model for structure analysis
Textile Research Journal, 2010Co-Authors: Toshihiro Shinohara, Jun-ya Takayama, Shinji Ohyama, Akira KobayashiAbstract:In this paper, a novel method is proposed to extract the yarn positional information for the structure analysis of a Textile Fabric from its three-dimensional (3D) image obtained from its X-ray computed tomography (CT) images. In this paper, the sequence of the points on the yarn centerline is defined as the yarn positional information. The sequence is extracted by tracing the yarn. The yarn is traced using the yarn direction obtained by estimating the directions of its filaments and averaging the estimated filament directions. The filament direction is estimated by correlating the filament part in the 3D CT image with a 3D filament model. The trajectory of the yarn tracing corresponds to the yarn positional information. The validity of the proposed method is discussed by experimentally applying the proposed method to a 3D CT image of a plain knitted Fabric. Furthermore, the usefulness is discussed through an experiment, in which the proposed method is applied to a 3D CT image of a plain woven Fabric, whi...
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Yarn Separation for Structure Analysis of Textile Fabric on Three-dimensional Computed Tomography Image
2007 IEEE International Symposium on Industrial Electronics, 2007Co-Authors: Toshihiro Shinohara, Jun-ya Takayama, Shinji Ohyama, Akira KobayashiAbstract:In this paper, a yarn separation method is proposed for structure analysis of Textile Fabric on its three-dimensional (3-D) image obtained by an X-ray computed tomography (CT). In this method, the directions of the filaments, which a yarn consists of, at all the voxels of the 3-D image are firstly estimated by correlating the voxel values with a filament model. Each filament is secondly reconstructed by connecting the voxels of the filaments based on the estimated filament directions. Each yarn is then reconstructed by clustering the reconstructed filaments using a distance between two filaments. Consequently, each yarn of the Textile Fabric on the 3-D image is separated. The effectiveness of this method is confirmed by experimentally applying this method to 3-D image of a sample plain woven Fabric, which is made of polyester two folded yarn. The each two folded yarn is correctly separated by this method.
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Yarn Segmentation Based on Filament Direction in 3-D CT Images for Structure Analysis of Textile Fabric
IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics, 2006Co-Authors: Toshihiro Shinohara, Jun-ya Takayama, Shinji Ohyama, Akira KobayashiAbstract:In this paper, a novel method for analyzing a Textile Fabric structure is proposed to segment each yarn of the Textile Fabric from voxel data obtained by its X-ray computed tomography (CT) images. In order to segment each yarn, the filament directions, which yarn consists of, at the voxels are firstly estimated by correlating the voxels with a filament model. Each filament is secondly reconstructed by clustering the voxels of the filaments using a product of the estimated filament direction vectors as a similarity. Then, each yarn is reconstructed by clustering the reconstructed filaments using a distance which is newly defined as a dissimilarity. Consequently, each yarn of the Textile Fabric is segmented. The effectiveness of this method is confirmed by experimentally applying the method to voxel data of a sample plain woven Fabric, which is made of polyester two folded yarn. The each two folded yarn is correctly segmented by this method
Akira Kobayashi - One of the best experts on this subject based on the ideXlab platform.
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extraction of yarn positional information from a three dimensional ct image of Textile Fabric using yarn tracing with a filament model for structure analysis
Textile Research Journal, 2010Co-Authors: Toshihiro Shinohara, Jun-ya Takayama, Shinji Ohyama, Akira KobayashiAbstract:In this paper, a novel method is proposed to extract the yarn positional information for the structure analysis of a Textile Fabric from its three-dimensional (3D) image obtained from its X-ray computed tomography (CT) images. In this paper, the sequence of the points on the yarn centerline is defined as the yarn positional information. The sequence is extracted by tracing the yarn. The yarn is traced using the yarn direction obtained by estimating the directions of its filaments and averaging the estimated filament directions. The filament direction is estimated by correlating the filament part in the 3D CT image with a 3D filament model. The trajectory of the yarn tracing corresponds to the yarn positional information. The validity of the proposed method is discussed by experimentally applying the proposed method to a 3D CT image of a plain knitted Fabric. Furthermore, the usefulness is discussed through an experiment, in which the proposed method is applied to a 3D CT image of a plain woven Fabric, whi...
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Yarn Separation for Structure Analysis of Textile Fabric on Three-dimensional Computed Tomography Image
2007 IEEE International Symposium on Industrial Electronics, 2007Co-Authors: Toshihiro Shinohara, Jun-ya Takayama, Shinji Ohyama, Akira KobayashiAbstract:In this paper, a yarn separation method is proposed for structure analysis of Textile Fabric on its three-dimensional (3-D) image obtained by an X-ray computed tomography (CT). In this method, the directions of the filaments, which a yarn consists of, at all the voxels of the 3-D image are firstly estimated by correlating the voxel values with a filament model. Each filament is secondly reconstructed by connecting the voxels of the filaments based on the estimated filament directions. Each yarn is then reconstructed by clustering the reconstructed filaments using a distance between two filaments. Consequently, each yarn of the Textile Fabric on the 3-D image is separated. The effectiveness of this method is confirmed by experimentally applying this method to 3-D image of a sample plain woven Fabric, which is made of polyester two folded yarn. The each two folded yarn is correctly separated by this method.
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Yarn Segmentation Based on Filament Direction in 3-D CT Images for Structure Analysis of Textile Fabric
IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics, 2006Co-Authors: Toshihiro Shinohara, Jun-ya Takayama, Shinji Ohyama, Akira KobayashiAbstract:In this paper, a novel method for analyzing a Textile Fabric structure is proposed to segment each yarn of the Textile Fabric from voxel data obtained by its X-ray computed tomography (CT) images. In order to segment each yarn, the filament directions, which yarn consists of, at the voxels are firstly estimated by correlating the voxels with a filament model. Each filament is secondly reconstructed by clustering the voxels of the filaments using a product of the estimated filament direction vectors as a similarity. Then, each yarn is reconstructed by clustering the reconstructed filaments using a distance which is newly defined as a dissimilarity. Consequently, each yarn of the Textile Fabric is segmented. The effectiveness of this method is confirmed by experimentally applying the method to voxel data of a sample plain woven Fabric, which is made of polyester two folded yarn. The each two folded yarn is correctly segmented by this method
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Yarn Segmentation from 3-D Voxel Data for Analysis of Textile Fabric Structure
2005Co-Authors: Toshihiro Shinohara, Jun-ya Takayama, Shinji Ohyama, Akira KobayashiAbstract:In this paper, a novel method for analyzing a Textile Fabric structure is proposed to segment each yarn of the Textile Fabric from voxel data made out of its X-ray computed tomography (CT) images. In order to segment the each yarn, directions of fibers, of which yarn consists, are firstly estimated by correlating the voxel with a fiber model. Second, each fiber is reconstructed by clustering the voxel of the fiber using the estimated fiber direction as a similarity. Then, each yarn is reconstructed by clustering the reconstructed fibers using a distance which is newly defined as a dissimilarity. Consequently, each yarn of the Textile Fabric is segmented from the voxel data. The eectiveness of the proposed method is confirmed by experimentally applying the method to voxel data of a sample plain woven Fabric, which is made of polyester two folded yarn. The each two folded yarn is correctly segmented by the proposed method.
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analysis of Textile Fabric structure with the ct images
Society of Instrument and Control Engineers of Japan, 2003Co-Authors: Toshihiro Shinohara, Jun-ya Takayama, Shinji Ohyama, Akira KobayashiAbstract:For detecting how a sample Textile Fabric is woven a method to obtain positional information of each yarn of the sample from the sample X-ray CT images in this paper. The information is obtained by tracing the each yarn. The effectiveness of this method is confirmed by applying the method to CT images of a sample Textile Fabric experimentally.
Azam Khan - One of the best experts on this subject based on the ideXlab platform.
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mechanical and piezoelectric properties of zinc oxide nanorods grown on conductive Textile Fabric as an alternative substrate
Journal of Physics D, 2014Co-Authors: Azam Khan, Mushtaque Hussain, Omer Nur, Magnus WillanderAbstract:The present research is devoted to understanding the mechanism and causes of variation in the piezoelectric potential generated from vertically aligned zinc oxide (ZnO) nanorods (NRs), which were grown on a conductive Textile Fabric as an alternative substrate by using the aqueous chemical growth method. The piezoelectric voltage was harvested from vertically aligned ZnO NRs having different physical parameters by using atomic force microscopy in contact mode and the variation in the generated piezoelectricity was investigated. The generated output potential indicates that different physical parameters such aspect ratio, crystal size and lattice internal crystal strain have a strong influence on the piezoelectric properties of vertically aligned ZnO NRs, which were grown on a Textile Fabric. Presented results indicate that Textiles can be used as an alternative substrate just like the other conventional substrates, because our results are similar/better than many reported works on conventional substrates.
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harvesting piezoelectric potential from zinc oxide nanoflowers grown on Textile Fabric substrate
Physica Status Solidi-rapid Research Letters, 2013Co-Authors: Azam Khan, Mazhar Ali Abbasi, Omer Nur, Jonas Wissting, Magnus WillanderAbstract:It seems that nowadays the world is becoming as a small village due to the advancement in communication devices technology. These devices are playing an important role in the wellbeing of our life as almost each and every person is utilizing at least one of these devices. These devices consume energy and with our increased use of technology, we are faced with energy crises. Therefore, the research community is keen in trying to explore alternative resources. One possibility is to search for the alternative resources from our environment. The attempt in this thesis was to utilize the piezoelectric properties by harvesting electrical energy from nanostructures. By utilizing the piezoelectric property of some materials, mechanical energy can be harvested as electrical output. It is worth mention that the ambient mechanical energy is the most available source of energy around us. Hence it is of interest to utilize it to develop future smart devices having the self-powered property. In this connection various experimental and mathematical techniques have been utilized for achieving this target.In this thesis zinc oxide (ZnO) nanostructures grown on Textile substrates were the material. The use of Textile as substrate is quite unique property of the presented work. Since Textile is an essential and fundamental component of our everyday lives, therefore the use of Textile as substrate can pave the way for the Fabrication of novel self-powered devices. As in comparison with conventional and expensive substrates Textile is very economical, lightweight, highly flexible, recyclable, reproducible, disposable, wearable and washable.I started my research work by integrating ZnO nanorods based nanogenerator on conductive Textile fiber for the analysis of piezoelectric properties of ZnO nanorods. The acceptance of my work among the research community encouraged me to continue with it in order to improve the performance of the Fabricated device. It is well known that piezoelectricity is a linear electromechanical coupling of the material in which mechanical energy is converted into electrical energy. Therefore, the piezoelectric properties of ZnO nanorods were investigated with regard to different physical parameters. In the electromechanical phenomena the analysis of the direct and the converse piezoelectric effect is also critical if conductive Textile is used as a substrate. Therefore analysis of the direct and the converse piezoelectric effect was performed for ZnO nanowires grown on conductive Textile fiber by using the nanoindentation method.Since the morphology of ZnO nanostructures can have an influence on the piezoelectric properties, the energy harvesting properties of ZnO nanoflowers were investigated and the achieved results confirmed that morphology has a strong influence on the piezoelectric properties. In addition, since there is an interest to generate a direct current (DC) piezoelectricity, a Schottky junction Fabricated to one side of the nanogenerator material is needed. Therefore, ZnO nanorods based Schottky diode (Cu/ZnO) on Textile Fabric was Fabricated and investigated. Moreover, frequency dependence electrical characterization was performed for analysis of current-transport properties of another Schottky diode (Au/ZnO) for understanding the carrier flow at the interface of the metal-semiconductor. Nevertheless, the consistency and stability of the constructed devices (ZnO nanogenerators and Schottky diodes) need some additional work to overcome these problems to achieve commercial realization of these devices in the future.
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Study of transport properties of copper/zinc-oxide-nanorods-based Schottky diode Fabricated on Textile Fabric
Semiconductor Science and Technology, 2013Co-Authors: Azam Khan, Mushtaque Hussain, Mazhar Ali Abbasi, Zafar Hussain Ibupoto, Omer Nur, Magnus WillanderAbstract:In this work, a copper/zinc-oxide (ZnO)-nanorods-based Schottky diode was Fabricated on the Textile Fabric substrate. ZnO nanorods were grown on a silver-coated Textile Fabric substrate by using th ...
