Direct Arc Plasma Generator with Six Nozzles, Applications of Plasma Technology and Progress in Nuclear Fusion and Thailand Tokamak-1 (TT1) Development
เทคโนโลยีพลาสมาเป็นนวัตกรรมที่สำคัญในอุตสาหกรรมการผลิต อิเล็กทรอนิกส์ และการแพทย์ โดยช่วยเพิ่มประสิทธิภาพและคุณภาพของผลิตภัณฑ์ อีกทั้งยังมีบทบาทสำคัญในพลังงานสะอาด เช่น โทคามัค ซึ่งใช้พลาสมาในการสร้างปฏิกิริยาฟิวชันเพื่อผลิตพลังงานจากไฮโดรเจนอย่างยั่งยืน โทคามัคมีศักยภาพในการลดการพึ่งพาเชื้อเพลิงฟอสซิลและแก้ไขปัญหาการเปลี่ยนแปลงสภาพภูมิอากาศ ทำให้เป็นกุญแจสำคัญสู่พลังงานแห่งอนาคต
คณะเทคโนโลยีการเกษตร
Mangosteen peel (Garcinia mangostana Linn.) extract using hot water (MPE) has been shown to have antibacterial potential in freshwater sea bass (Lates calcarifer) larvae infected with Aeromonas hydrophila. In vitro studies showed that MPE has a minimum inhibitory concentration (MIC) of 25 ppm and a minimum bactericidal concentration (MBC) of 25 ppm. In vivo, sea bass larvae were immersed in various concentrations of MPE at 0 ppm (control), 20 ppm, 40 ppm and 60 ppm, respectively, for 7 days with A. hydrophila. The results showed that the MPE-treated group had a higher survival rate compared to the control group. Hematological parameters showed that the MPE-treated group had significantly increased red blood cell (RBC), white blood cell (WBC) and hemoglobin (Hb) concentrations compared to the control group. In addition, the water quality parameters were not significantly different, except for ammonia concentration, with MPE having an ammonia concentration of 60 ppm being the lowest. All results can indicate that MPE can improve the antibacterial potential and the culture potential of sea bass larvae.
วิทยาลัยการจัดการนวัตกรรมและอุตสาหกรรม
This research aims to develop a horse treat product that meets the nutritional and health needs of horses by using natural ingredients with beneficial properties, such as oats, wheat flour, corn flour, and organic molasses. These ingredients are rich in fiber, vitamins, and essential minerals for horses, while also enhancing digestive efficiency, reducing the risk of colic, and providing an appropriate energy source. The treat is designed with a shape suitable for a horse’s chewing behavior and is infused with Thai fruit flavors, such as pineapple and ripe mango, to attract horses and make consumption easier. The production process emphasizes cleanliness and safety by selecting organic ingredients and avoiding harmful preservatives. The packaging is designed to maintain product quality for an extended period, prevent moisture, and be convenient for horse owners to use. Additionally, the treat can be used as a reward during horse training, helping to strengthen the bond between the horse and its owner while reducing equine stress. This product serves as both a health-boosting snack and an effective training tool, making it suitable for horses that require highly nutritious supplements. It also provides a new option for horse owners seeking a safe and beneficial product for their horse’s overall well-being.
คณะวิศวกรรมศาสตร์
Currently, lithium batteries are widely used in electronic devices and electric vehicles, making the estimation of their State of Health (SOH) crucial. Accurate SOH estimation helps extend battery lifespan, reduce maintenance costs, and prevent safety issues such as overheating or explosions. This project aims to study and analyze mathematical models of batteries and develop SOH estimation techniques using Neural Networks to enhance accuracy and evaluation speed. The experiment involved collecting charge and discharge data from three lithium battery cells under controlled temperature conditions while maintaining a constant current. The current, voltage, and time data were recorded and analyzed to determine the battery capacity for each cycle. These data were then used to train a Neural Network model. The results demonstrated an effective method for predicting battery health status. The outcomes of this project can contribute to the development of a Battery Management System (BMS) that improves battery efficiency and longevity. Additionally, it provides a foundation for applying artificial intelligence techniques in the energy sector effectively.