The Experts below are selected from a list of 9519 Experts worldwide ranked by ideXlab platform
Chokri Cherif - One of the best experts on this subject based on the ideXlab platform.
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electro mechanical characterization of shape memory alloy hybrid yarn based adaptive fiber Reinforced Plastics
Journal of The Textile Institute, 2021Co-Authors: Moniruddoza Ashir, Eric Hantzsche, Chokri CherifAbstract:Shape memory alloys (SMA) are being used for the development of adaptive fiber-Reinforced Plastics (FRP) with high functional density. During the thermal induced activation of SMA, a barrier layer ...
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development and mechanical properties of adaptive fiber Reinforced Plastics
Journal of Industrial Textiles, 2019Co-Authors: Moniruddoza Ashir, Andreas Nocke, Chokri CherifAbstract:Textile-based lightweight structures offer various possibilities for the design of tailored structures by the selective choice of materials and their processing into textile semi-finished products and fiber-Reinforced Plastics. Lightweight structures with a high mechanical load capacity are feasible by developing fiber-Reinforced Plastics with adaptive properties that are able to adapt their characteristics, e.g. geometry or stiffness, to external influences. Thus, the application potential of fiber-Reinforced Plastics can be further expanded. In this paper, we present novel adaptive fiber-Reinforced Plastics based on textile semi-finished products with integrated shape memory alloys and their mechanical characterization. The shape memory alloy is textile technically integrated and converted into friction spun hybrid yarn. Next, the produced hybrid yarn is integrated with plain, twill and satin woven reinforcement fabric in the weft direction during the shedding operation in weaving. Adaptive fiber-reinfo...
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a statistical approach for the fabrication of adaptive pleated fiber Reinforced Plastics
Composite Structures, 2019Co-Authors: Moniruddoza Ashir, Jan Hindahl, Andreas Nocke, Chokri CherifAbstract:Abstract The increasing demand for fiber Reinforced Plastics for different high-tech lightweight applications requires their continuous development, for example, by means of high functional density. Among various smart materials, fiber Reinforced Plastics can be functionalized by actuator materials, in particular shape memory alloys. This paper presents a statistical approach to the fabrication of adaptive pleated fiber Reinforced Plastics. Three geometrical factors – pleat thickness, pleat height and the spacing between two pleats were identified by the half-normal probability plot that affect the deformation of adaptive pleated fiber Reinforced Plastics during the activation of shape memory alloys. Overall, four responses were evaluated by means of the design of experiment. Significant statistical models were found for the deformation, level loss per cycle, heating and cooling speed of adaptive pleated fiber Reinforced Plastics. These statistical models were validated through experimental data by the goodness of fit function. The results of the statistical model tended to fit experimental results.
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development of adaptive hinged fiber Reinforced Plastics based on shape memory alloys
Composite Structures, 2017Co-Authors: Moniruddoza Ashir, Christoph Theiss, Andreas Nocke, Chokri CherifAbstract:Abstract This paper presents the development of adaptive hinged fiber Reinforced Plastics based on structurally integrated shape memory alloys. To realize this novel smart structure, hinged preforms are realized, shape memory alloys are converted into actuating hybrid yarns with tailored adhesion properties using the friction spinning technology, the hybrid yarns are integrated on the surface of the hinged preforms by tailored fiber placement and finally the hybrid yarn integrated hinged preform is infiltrated by a suitable thermoset resin. Additionally, the deformation behavior of adaptive hinged fiber Reinforced Plastics is tested and results are evaluated with regard to quasi-static and dynamic aspects. The maximum deformation and the deformation speed on the heating as well as on the cooling cycle strongly depend on the hinge width of adaptive fiber Reinforced Plastics and the meander distance of the hybrid yarn embedded in it.
Moniruddoza Ashir - One of the best experts on this subject based on the ideXlab platform.
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electro mechanical characterization of shape memory alloy hybrid yarn based adaptive fiber Reinforced Plastics
Journal of The Textile Institute, 2021Co-Authors: Moniruddoza Ashir, Eric Hantzsche, Chokri CherifAbstract:Shape memory alloys (SMA) are being used for the development of adaptive fiber-Reinforced Plastics (FRP) with high functional density. During the thermal induced activation of SMA, a barrier layer ...
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development and mechanical properties of adaptive fiber Reinforced Plastics
Journal of Industrial Textiles, 2019Co-Authors: Moniruddoza Ashir, Andreas Nocke, Chokri CherifAbstract:Textile-based lightweight structures offer various possibilities for the design of tailored structures by the selective choice of materials and their processing into textile semi-finished products and fiber-Reinforced Plastics. Lightweight structures with a high mechanical load capacity are feasible by developing fiber-Reinforced Plastics with adaptive properties that are able to adapt their characteristics, e.g. geometry or stiffness, to external influences. Thus, the application potential of fiber-Reinforced Plastics can be further expanded. In this paper, we present novel adaptive fiber-Reinforced Plastics based on textile semi-finished products with integrated shape memory alloys and their mechanical characterization. The shape memory alloy is textile technically integrated and converted into friction spun hybrid yarn. Next, the produced hybrid yarn is integrated with plain, twill and satin woven reinforcement fabric in the weft direction during the shedding operation in weaving. Adaptive fiber-reinfo...
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a statistical approach for the fabrication of adaptive pleated fiber Reinforced Plastics
Composite Structures, 2019Co-Authors: Moniruddoza Ashir, Jan Hindahl, Andreas Nocke, Chokri CherifAbstract:Abstract The increasing demand for fiber Reinforced Plastics for different high-tech lightweight applications requires their continuous development, for example, by means of high functional density. Among various smart materials, fiber Reinforced Plastics can be functionalized by actuator materials, in particular shape memory alloys. This paper presents a statistical approach to the fabrication of adaptive pleated fiber Reinforced Plastics. Three geometrical factors – pleat thickness, pleat height and the spacing between two pleats were identified by the half-normal probability plot that affect the deformation of adaptive pleated fiber Reinforced Plastics during the activation of shape memory alloys. Overall, four responses were evaluated by means of the design of experiment. Significant statistical models were found for the deformation, level loss per cycle, heating and cooling speed of adaptive pleated fiber Reinforced Plastics. These statistical models were validated through experimental data by the goodness of fit function. The results of the statistical model tended to fit experimental results.
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development of adaptive hinged fiber Reinforced Plastics based on shape memory alloys
Composite Structures, 2017Co-Authors: Moniruddoza Ashir, Christoph Theiss, Andreas Nocke, Chokri CherifAbstract:Abstract This paper presents the development of adaptive hinged fiber Reinforced Plastics based on structurally integrated shape memory alloys. To realize this novel smart structure, hinged preforms are realized, shape memory alloys are converted into actuating hybrid yarns with tailored adhesion properties using the friction spinning technology, the hybrid yarns are integrated on the surface of the hinged preforms by tailored fiber placement and finally the hybrid yarn integrated hinged preform is infiltrated by a suitable thermoset resin. Additionally, the deformation behavior of adaptive hinged fiber Reinforced Plastics is tested and results are evaluated with regard to quasi-static and dynamic aspects. The maximum deformation and the deformation speed on the heating as well as on the cooling cycle strongly depend on the hinge width of adaptive fiber Reinforced Plastics and the meander distance of the hybrid yarn embedded in it.
Andreas Nocke - One of the best experts on this subject based on the ideXlab platform.
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development and mechanical properties of adaptive fiber Reinforced Plastics
Journal of Industrial Textiles, 2019Co-Authors: Moniruddoza Ashir, Andreas Nocke, Chokri CherifAbstract:Textile-based lightweight structures offer various possibilities for the design of tailored structures by the selective choice of materials and their processing into textile semi-finished products and fiber-Reinforced Plastics. Lightweight structures with a high mechanical load capacity are feasible by developing fiber-Reinforced Plastics with adaptive properties that are able to adapt their characteristics, e.g. geometry or stiffness, to external influences. Thus, the application potential of fiber-Reinforced Plastics can be further expanded. In this paper, we present novel adaptive fiber-Reinforced Plastics based on textile semi-finished products with integrated shape memory alloys and their mechanical characterization. The shape memory alloy is textile technically integrated and converted into friction spun hybrid yarn. Next, the produced hybrid yarn is integrated with plain, twill and satin woven reinforcement fabric in the weft direction during the shedding operation in weaving. Adaptive fiber-reinfo...
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a statistical approach for the fabrication of adaptive pleated fiber Reinforced Plastics
Composite Structures, 2019Co-Authors: Moniruddoza Ashir, Jan Hindahl, Andreas Nocke, Chokri CherifAbstract:Abstract The increasing demand for fiber Reinforced Plastics for different high-tech lightweight applications requires their continuous development, for example, by means of high functional density. Among various smart materials, fiber Reinforced Plastics can be functionalized by actuator materials, in particular shape memory alloys. This paper presents a statistical approach to the fabrication of adaptive pleated fiber Reinforced Plastics. Three geometrical factors – pleat thickness, pleat height and the spacing between two pleats were identified by the half-normal probability plot that affect the deformation of adaptive pleated fiber Reinforced Plastics during the activation of shape memory alloys. Overall, four responses were evaluated by means of the design of experiment. Significant statistical models were found for the deformation, level loss per cycle, heating and cooling speed of adaptive pleated fiber Reinforced Plastics. These statistical models were validated through experimental data by the goodness of fit function. The results of the statistical model tended to fit experimental results.
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development of adaptive hinged fiber Reinforced Plastics based on shape memory alloys
Composite Structures, 2017Co-Authors: Moniruddoza Ashir, Christoph Theiss, Andreas Nocke, Chokri CherifAbstract:Abstract This paper presents the development of adaptive hinged fiber Reinforced Plastics based on structurally integrated shape memory alloys. To realize this novel smart structure, hinged preforms are realized, shape memory alloys are converted into actuating hybrid yarns with tailored adhesion properties using the friction spinning technology, the hybrid yarns are integrated on the surface of the hinged preforms by tailored fiber placement and finally the hybrid yarn integrated hinged preform is infiltrated by a suitable thermoset resin. Additionally, the deformation behavior of adaptive hinged fiber Reinforced Plastics is tested and results are evaluated with regard to quasi-static and dynamic aspects. The maximum deformation and the deformation speed on the heating as well as on the cooling cycle strongly depend on the hinge width of adaptive fiber Reinforced Plastics and the meander distance of the hybrid yarn embedded in it.
Ana Sánchez - One of the best experts on this subject based on the ideXlab platform.
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Delamination Study in Edge Trimming of Basalt Fiber Reinforced Plastics (BFRP)
Materials, 2018Co-Authors: Maria Dolores Navarro-mas, Isabel Ordeig, J. Antonio García-manrique, Maria Desamparados Meseguer, Ana SánchezAbstract:Although there are many machining studies of carbon and glass fiber Reinforced Plastics, delamination and tool wear of basalt fiber Reinforced Plastics (BFRP) in edge trimming has not yet studied. This paper presents an end milling study of BFRP fabricated by resin transfer molding (RTM), to evaluate delamination types at the top layer of the machined edge with different cutting conditions (cutting speed, feed rate and depth of cut) and fiber volume fraction (40% and 60%). This work quantifies delamination types, using a parameter Sd/L, that evaluates the delamination area (Sd) and the length (L), taking into account tool position in the yarn and movement of yarns during RTM process, which show the random nature of delamination. Delamination was present in all materials with 60% of fiber volume. High values of tool wear did not permit to machine the material due to an excessive delamination. Type II delamination was the most usual delamination type and depth of cut has influence on this type of delamination.
Tomonaga Okabe - One of the best experts on this subject based on the ideXlab platform.
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a numerical approach for injection molding of short fiber Reinforced Plastics using a particle method
Advanced Composite Materials, 2011Co-Authors: Shigeki Yashiro, Tomonaga Okabe, Kisa MatsushimaAbstract:This study proposes a numerical approach for predicting the injection molding process of short-fiber-Reinforced Plastics using the moving particle semi-implicit (MPS) method, which is a particle-simulation method. Unlike conventional methods using orientation tensors, this approach represents all fibers and resin as an assembly of particles, and automatically analyzes the interaction between fiber and resin and between fibers. In addition, this method can follow the motion of a specific fiber, which is a significant advantage over orientation tensors. This study simulated the injection molding of short-fiber-Reinforced Plastics; the thermoplastic resin was considered as an incompressible viscous fluid and the fibers were modeled as rigid bodies. The numerical result illustrated that the molding material was unidirectionally Reinforced by short fibers since the fibers rotated and were aligned parallel to the flow direction due to the velocity gradient near the wall boundary. Moreover, the stagnation of res...
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Microstructure-dependent fatigue damage process in short fiber Reinforced Plastics
International Journal of Solids and Structures, 2010Co-Authors: Masaaki Nishikawa, Tomonaga OkabeAbstract:This paper proposes a numerical model of the fatigue damage process in short fiber-Reinforced Plastics. In the fatigue fracture of these composites, the microcracks in the polymer matrix increase with fatigue cycles and dominate the fatigue damage process. Therefore the matrix crack was modeled by the continuum damage mechanics approach while considering the microscopic fatigue damage process in the polymer matrix based on a Kachanov-type damage-evolution law. We applied the model to addressing the fatigue-cycle experiments of short glass-fiber Reinforced polycarbonate conducted by Ha et al. The simulated results agreed well with the experimental results. Moreover, the simulation revealed that the dependence of the damage accumulation on the fiber orientation remarkably changes the fatigue life of the short glass-fiber Reinforced Plastics.
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micromechanics of failure mode in fiber Reinforced Plastics
Journal of the Japan Society for Composite Materials, 2009Co-Authors: Tomonaga Okabe, Masaaki Nishikawa, Takashi Motani, Masahiro HashimotoAbstract:Discontinuous fiber Reinforced Plastics have superior productivity and formability in comparison with continuous fiber Reinforced Plastics. However, their strengths are remarkably low. Thus there is an urgent need to establish a fundamental model in order to improve the strength of discontinuous fiber Reinforced Plastics. In the present work, we utilized numerical simulations that consider the microscopic damage in the composite and incorporate an individual constitutive law of thermosetting resin or thermoplastic resin. The fundamental mechanism that affected the strength and failure of the composite was investigated when the fiber length and/or matrix properties were varied from continuous glass fiber Reinforced Plastics to discontinuous glass fiber Reinforced Plastics. Our results clarified two factors that cause the strength degradation of discontinuous fiber Reinforced Plastics. One is the low yield stress of thermoplastic resin, which is frequently used for the matrix of discontinuous fiber Reinforced Plastics. As the other factor, the final failure mode is changed from fiber breaking mode to matrix cracking mode in the case of the low fiber volume fraction of discontinuous glass fiber Reinforced Plastics. Moreover, we investigated the relationship between fiber length and strength of carbon fiber Reinforced polypropylene and the effect of thermoplastic matrix properties depending on the loading rate as well.
