Design and Development of a Remote Battery Management System This research focuses on the design and development of a battery management system that enables remote monitoring and control, allowing users to customize battery cell properties as needed. The system is specifically designed for use with graphene battery cells and can be effectively applied to alternative energy systems for residential use.
1. เพิ่มประสิทธิภาพการจัดการพลังงาน – ระบบบริหารจัดการแบตเตอรี่ที่สามารถควบคุมและมอนิเตอร์ระยะไกลช่วยให้สามารถจัดการพลังงานได้อย่างมีประสิทธิภาพ ลดการสูญเสียพลังงาน และเพิ่มอายุการใช้งานของแบตเตอรี่ 2. รองรับเทคโนโลยีแบตเตอรี่กราฟีน – แบตเตอรี่กราฟีนมีศักยภาพสูงในการเก็บพลังงานและมีอายุการใช้งานยาวนาน โครงการนี้ช่วยทดสอบและพัฒนาการนำแบตเตอรี่กราฟีนไปใช้ในระบบพลังงานทางเลือก 3. เพิ่มความสะดวกและความปลอดภัยในการใช้งาน – การควบคุมและมอนิเตอร์แบตเตอรี่จากระยะไกลช่วยลดความเสี่ยงจากการเกิดปัญหาทางเทคนิค เช่น การชาร์จไฟเกินหรืออุณหภูมิสูงเกินไป ทำให้ระบบมีความปลอดภัยมากขึ้น 4. ส่งเสริมการพัฒนาเทคโนโลยีภายในประเทศ – โครงการนี้ช่วยสนับสนุนการพัฒนาเทคโนโลยีแบตเตอรี่และระบบบริหารจัดการพลังงานภายในประเทศ ลดการพึ่งพาเทคโนโลยีจากต่างประเทศ และเพิ่มขีดความสามารถในการแข่งขันด้านพลังงาน
คณะครุศาสตร์อุตสาหกรรมและเทคโนโลยี
This research confirms the potential of bamboo fiber as a sustainable raw material for the textile industry, demonstrating exceptional properties that meet both functional requirements and environmental friendliness. The study focuses on integrating sustainability concepts with material innovation, encompassing fiber property analysis, production process development, and product design. The research objectives were to: 1) develop the properties of bamboo fiber for production; 2) study factors in designing environmentally friendly textile products from bamboo fiber; and 3) forecast future prospects for environmentally friendly textile product design using bamboo fiber. The findings revealed that 60-day-old bamboo possessed optimal properties for fiber separation, with an average fiber size of 5.32 μm, smaller than other natural fibers, resulting in superior moisture absorption and ventilation properties. When blended with recycled polyester fiber in a 30:70 ratio, the yarn exhibited strength and unique tactile characteristics. Although the antibacterial properties against Staphylococcus aureus were low, the fibers demonstrated excellent whiteness and softness. Factor analysis identified four key components in product design: Local Materials, Green Products, Healthy, and Sustainability. Consumer satisfaction evaluation of the prototype products showed high levels of acceptance, with the model explaining 84.7% of consumer satisfaction. The developed production process reduced chemical usage and hazardous waste. Furthermore, utilizing fast-growing bamboo minimized long-term environmental impact, contributing to sustainable development in Thailand's rural communities across economic, environmental, and occupational stability dimensions. The research demonstrates that developing bamboo fiber blended with recycled polyester creates sustainable products that meet consumer demands for health consciousness, local material utilization, and green product promotion. Commercial implementation of these products can enhance economic value and promote environmentally friendly product development in the future.
คณะเทคโนโลยีสารสนเทศ
Traditional methods of public relations and learning often lack engagement and fail to provide users with a deep and immersive experience. Additionally, these methods struggle to reach a wide audience, especially those unable to visit the physical location. This project aims to solve the issues of accessibility and awareness regarding the institution’s Chalermphrakiat Hall and historical exhibition. Utilizing metaverse technology to simulate important locations allows users to explore the site and view key information in a virtual format, thereby enhancing the engagement of students staff alumni and the general public. The metaverse system is developed using Unity, a powerful game engine capable of supporting the creation of metaverse environments. This allows for the creation of an interactive and realistic virtual space. Unity also supports the management of physics, lighting, and sound, further enhancing realism. Additionally, the system is integrated with web browsers using WebGL technology, enabling the project developed in Unity to be accessed directly through a browser. Users can visit and interact with the metaverse environment from anywhere without the need to install additional software. The developers have thus created the metaverse system to provide a realistic and engaging learning experience, enhancing public relations efforts and fostering a strong connection with the institution efficiently.
คณะวิศวกรรมศาสตร์
This research suggested natural hemp fiber-reinforced ropes (FRR) polymer usage to reinforce recycled aggregate square concrete columns that contain fired-clay solid brick aggregates in order to reduce the high costs associated with synthetic fiber-reinforced polymers (FRPs). A total of 24 square columns of concrete were fabricated to conduct this study. The samples were tested under a monotonic axial compression load. The variables of interest were the strength of unconfined concrete and the number of FRRlayers. According to the results, the strengthened specimens demonstrated an increased compressive strength and ductility. Notably, the specimens with the smallest unconfined strength demonstrated the largest improvement in compressive strength and ductility. Particularly, the compressive strength and strain were enhanced by up to 181% and 564%, respectively. In order to predict the ultimate confined compressive stress and strain, this study investigated a number of analytical stress–strain models. A comparison of experimental and theoretical findings deduced that only a limited number of strength models resulted in close predictions, whereas an even larger scatter was observed for strain prediction. Machine learning was employed by using neural networks to predict the compressive strength. A dataset comprising 142 specimens strengthened with hemp FRP was extracted from the literature. The neural network was trained on the extracted dataset, and its performance was evaluated for the experimental results of this study, which demonstrated a close agreement.