Micro-Scale Modeling of Carbon-Fiber Reinforced Thermoplastic Materials

Thin-walled textile-reinforced composite parts possess excellent properties, including lightweight, high specific strength, internal torque and moment resistance which offer opportunities for applications in mass transit and ground transportation. In particular, the composite material is widely used in aerospace and aircraft structure. In order to estimate accurately the parameters of the constitutive law of woven fabric composite, it is recommended to canvass multi-scale modeling approaches: meso, micro and macro. In the present investigation, based on the experimental results established by carrying out observations by Scanning electron microscope (SEM), we developed a micro-scale FEM model of carbon-fiber reinforced thermoplastic using a commercial software ABAQUS. From the SEM cartography, one identified two types of representative volume elementary (RVE): periodic and random distribution of micro-fibers in the yarn. Referring to homogenization method and by applying the limits conditions to the RVE, we have extracted the coefficients of the rigidity matrix of the studied composites. In the last part of this work, we compare the results obtained by random and periodic RVE model of carbon/PPS and we compute the relative error assuming that random model gives the right value

Micro-scale modeling of carbon-fiber reinforced thermoplastic materials

Thin-walled textile-reinforced composite parts possess excellent properties, including lightweight, high specific strength, internal torque and moment resistance which offer opportunities for applications in mass transit and ground transportation. In particular the composite material is widely used in aerospace and aircraft structure. In order to estimate accurately the parameters of the constitutive law of woven fabric composite, it is recommended to canvass multi-scale modeling approaches: meso, micro and macro. In the present investigation, based on the experimental results established by carrying out observations by Scanning electron microscope (SEM), we developed a micro-scale FEM model of carbon-fiber reinforced thermoplastic using a commercial software ABAQUS. From the SEM cartography, one identified two types of representative volume elementary (RVE): periodic and random distribution of micro-fibers in the yarn. Referring to homogenization method and by applying the limits conditions to the RVE, we have extracted the coefficients of the rigidity matrix of the studied composites. In the last part of this work, we compare the results obtained by random and periodic RVE model of carbon/PPS and we compute the relative error assuming that random model gives the right value

Numerical and Experimental Investigations on Deep Drawing of G1151 Carbon Fiber Woven Composites

This study proposes to simulate the deep drawing on carbon woven composites in order to reduce the manufacturing cost and waste of composite material during the stamping process, The multi-scale anisotropic approach of woven composite was used to develop a finite element model for simulating the orientation of fibers accurately and predicting the deformation of composite during mechanical tests and forming process. The proposed experimental investigation for bias test and hemispherical deep drawing process is investigated in the G1151 Interlock. The mechanical properties of carbon fiber have great influence on the deformation of carbon fiber composites. In this study, shear angle–displacement curves and shear load–shear angle curves were obtained from a bias extension test. Deep drawing experiments and simulation were conducted, and the shear load–displacement curves under different forming depths and shear angle–displacement curves were obtained. The results showed that the compression and shear between fibers bundles were the main deformation mechanism of carbon fiber woven composite, as well as the maximum shear angle for the composites with G1151 woven fiber was 58°. In addition, during the drawing process, it has been found that the forming depth has a significant influence on the drawing force. It increases rapidly with the increasing of forming depth. In this approach the suitable forming depth deep drawing of the sheet carbon fiber woven composite was approximately 45 mm

Experimental and simulation study on a rooftop vertical-axis wind turbine

In this study, a small vertical-axis wind turbine (VAWT) was successfully designed and tested to produce electrical energy using renewable wind energy after being installed on the roof of buildings. The VAWT was constructed according to the existing wind source in the Tabuk region in Saudi Arabia. The use of VAWT on roofs is a sustainable solution for producing clean electricity and contributing to a portion of the local electricity consumption. A rooftop wind turbine test was performed to determine the behavior and output of a VAWT under non-constant wind speeds under natural conditions. To verify the resistance of the shear stress and pressure, a computational fluid dynamics (CFD) simulation on the airfoil was conducted. The experimental test results showed that the VAWT can reach its rated power at 9 m/s. The minimum wind speed needed for power production was 3 m/s. The maximum power coefficient obtained during testing was approximately 0.45 at a tip speed ratio of around 1.94. The simulation mesh is constructed with Ansys mesh. Two dimensional (2-D) mapped face meshing, fine, high smoothing mesh was constructed with 50 division numbers and a bias factor of about 150. The grid with 15,000 cells generated the same results as the higher number of cell grids. The simulation equivalent force was about 2.8 N for a single blade, such as 8.5 N in total, which presents an error of about 3%. The CFD simulation and experimental tests on existing forces confirm that the VAWT structure’s resistance can be guaranteed at high wind speeds

Potential application of solar still desalination in NEOM region

Abstract NEOM is a proposed $500 billion smart city project planned to be built in Saudi Arabia. It aims to be a hub for innovation, sustainability, and quality of life, and will incorporate cutting-edge technology and renewable energy solutions. NEOM aims to transform the region into a hub for the future, attracting businesses and individuals from all over the world.. This article explores the potential application of solar still desalination in the NEOM region. Solar stills are a cost-effective and environmentally friendly solution for producing fresh water from saltwater sources. In the NEOM region, where access to fresh water is a major challenge, solar still desalination can play a significant role in meeting the growing demand for potable water. This research discusses the principles and components of solar stills, and the various types of solar stills that are currently available. This work also evaluates the performance and efficiency of solar stills, and their potential to provide large-scale water production in the NEOM region. Finally, the article highlights the potential benefits and challenges associated with implementing solar still desalination in the NEOM region, and provides recommendations for future research and development. This research contributes to the growing body of literature on sustainable water management, and has important implications for policymakers and water resource managers in the NEOM region and beyond