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Design Modeling and CFD Simulation of Parallel Plate–Fin Heat Sink Under Natural Convection Nguyen, Tue Duy; Vo, An Van; Bui, Tam Thanh
Makara Journal of Technology Vol. 28, No. 3
Publisher : UI Scholars Hub

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Abstract

The lifetime of electronic devices strongly depends on the junction temperature. Heat sinks are a good choice for dissipating heat because of their enhanced heat transfer areas. Plate–fin heat sinks are commonly used for electronic components because of their simple construction. Recently, computational fluid dynamics (CFD) software, such as Ansys Fluent and OpenFOAM, has been widely used and has provided effective results. Autodesk CFD is a powerful simulation tool; however, its use in heat sink research remains relatively uncommon. In this study, two plate–fin heat sinks with heights of 30 and 50 mm were first designed using heat transfer equations and then compared with Autodesk CFD simulations under natural convection conditions. Temperature inputs of 60 °C, 70 °C, and 80 °C were assigned to determine the temperature distribution along the fins, heat dissipation, fin efficiency, and fin effectiveness for both types of heat sinks. The results of the heat transfer calculations and Autodesk CFD simulations are consistent, with negligible differences. These findings indicate that Autodesk CFD can produce reliable results for heat sink design. In addition, efficiency decreases with the increase in fin height, although the effectiveness and heat dissipation of the tall (50 mm) heat sink are higher than those of the short (30 mm) heat sink. Although the 50-mm-high fin heat sink has a heat transfer area approximately 63% larger than that of the 30-mm-high fin heat sink, its heat dissipation is only approximately 40% larger than that of the 30-mm-high fin heat sink. This finding indicates that the addition of more material alone may not proportionally increase heat transfer and could lead to wasted material. Therefore, when designing heat sinks, the height of the fins should be carefully considered and optimized to enhance efficiency and conserve materials.
Designing and Implementing a Classification Model for Mangoes Based on Size and Ripeness using Image Processing Vo, An van; Mai, Hau van; Ha, Hung Duy; bui, tam thanh
Makara Journal of Technology Vol. 29, No. 1
Publisher : UI Scholars Hub

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Abstract

Image processing is an advanced technology that significantly supports production, identification, and quality control for fruits. This paper uses image processing techniques to develop a mango classification system based on size and ripeness. The system integrates hardware, including an Arduino microcontroller, camera, sensors, actuators, and a user-friendly computer interface for monitoring and control. The classification algorithm extracts key features of the mangoes, such as their color and shape, to categorize them into predefined quality classes. Experimental results demonstrate that the system achieves an accuracy exceeding 90% for both ripeness and size classification, with a productivity level of 300 kg/hour, surpassing the initial target of 250 kg/hour. Furthermore, the system operates reliably under varying lighting conditions, ensuring flexibility and continuous productivity. These advancements highlight the system’s potential to enhance efficiency and quality in fruit processing industries.