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Shenyang Jianzhu Daxue Xuebao (Ziran Kexue Ban)/Journal of Shenyang Jianzhu University (Natural Science)
Particle Size Influence on a Natural Cow Bone Composite Material Under Tensile and Flexural Load
The effect of various cow bone particle sizes and different volume fractions on the fracture behavior of a cow rib bones-reinforced polyester material is demonstrated in this paper. This study is useful to researchers whose interests lie in the growth of bone technology. A polyester matrix composite was manufactured using four various cow bone particles sizes (600 μm, 850 μm, 1180 μm, and 1700 μm) as reinforcement. Two mechanical (Tensile and Flexural) tests were performed. For each particle size, the samples were prepared at three different volume fractions (35%, 45%, and 55%). The result
The structural and optical properties of (CuAlSe2 ) thin film compound Prepared by thermal evaporation technique
In the current investigation, (CuAlSe2) alloys were created by melting the stoichiometric weights of Cu, Al, and Se in a sealed quartz ampoule under a vacuum of approximately (3 × 102 mbar). (CuAlSe2) thin films were made by placing the alloy on a soda lime glass substrate, heating it at various temperatures, and employing a thermal evaporation process at a pressure of around (10-6 mbar). The thin film thickness was (1200±100A°). The (CuAlSe2) bulk had chalcopyrite structure, while the thin films are polycrystalline with sphalerite structure, according to X-ray examination. The optical meas
Fuzzy Logic Based Power Factor Repair System Using PZEM004T and Internet of Things
Variative electrical loads such as lighting, heating, and electric motors, often result in low power factor. Low power factor results in increased electric current. The increase in electric current results in an increase in service capacity such as current limiters, transformers used, conductor size, and others. Inductive power factor can be improved by installing appropriate capacitors. So far, the installation of capacitors still uses manual methods that have not implemented automatic control and can be controlled remotely. The selection of capacitor prices is still done by try and error, no
Developing an IoT-Based Automated Control System for Greenhouse
The goal of this project is to create an automated system that uses the Internet of Things (IoT) to monitor and regulate greenhouse conditions. This technology has been growing rapidly in many areas and is used to control various automated systems. The project is divided into three sections. In the first section, we install an Arduino Mega 2650 development board and a range of sensors, including temperature, humidity, and light sensors. Additionally, we incorporate various actuators, such as those for ventilation, servo motors for the doors, light, a hotplate, and LEDs, to fulfill the project
OPTIMIZATION MODEL OF FORMER COAL MINE LAND AS A PLANTING MEDIA: MULTISYMBIOTIC INTERACTION STUDY OF MICROORGANISMS, PLANTS AND ENVIRONMENT
The East Kalimantan region of Indonesia has a large ex-coal mining area, even though this area has the potential to be used as productive land. The research aims to develop an optimization model for coal mining land to be used as a planting medium by first examining the factors that influence plant growth and productivity so that this optimization model can function well. Furthermore, the hypothetical model was developed based on theoretical and empirical studies which were tested using GSCA. Empirical data collection was carried out using a Randomized Completely Block Design with 10 replicati
