The project focuses on designing and creating Art Toy Mascots that reflect the identities of the 12 departments in the Faculty of Agricultural Technology. It combines the concepts of art and agricultural technology to promote better understanding and easy recognition of each department. The project utilizes creative design and artistic toy production techniques.
ในยุคปัจจุบันที่เทคโนโลยีมีบทบาทสำคัญในการพัฒนาภาคการเกษตร คณะเทคโนโลยีการเกษตรจึงมุ่งเน้นการปลูกฝังองค์ความรู้ควบคู่ไปกับการพัฒนาทักษะความคิดสร้างสรรค์ เพื่อให้นักศึกษาสามารถประยุกต์ใช้ความรู้ทางวิทยาศาสตร์และเทคโนโลยีในการแก้ปัญหาและพัฒนาภาคการเกษตรได้อย่างมีประสิทธิภาพ โครงการออกแบบและสร้างสรรค์ Art Toy Mascot จึงเกิดขึ้นจากแนวคิดที่ต้องการ ผสมผสานศิลปะและเทคโนโลยีเข้าด้วยกัน โดยใช้ Art Toy ซึ่งเป็นผลงานศิลปะที่กำลังได้รับความนิยมในกลุ่มคนรุ่นใหม่ เป็นสื่อกลางในการนำเสนออัตลักษณ์ของ 12 สาขาวิชาในคณะเทคโนโลยีการเกษตร
วิทยาลัยเทคโนโลยีและนวัตกรรมวัสดุ
The photoelectrochemical detection of salbutamol, which is illicitly used as a lean meat promoter in pigs, is investigated using a molecularly imprinted polymer (MIP)-based sensor with a CuO/g-C₃N₄ nanocomposite to enhance detection performance, leveraging nanomaterials and molecular imprinting for high selectivity and sensitivity. This approach offers a promising strategy for the precise and efficient analysis of salbutamol in food samples.
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.
วิทยาลัยนวัตกรรมการผลิตขั้นสูง
Ultrasonic cleaning tank is a machine that many factories widely used to clean objects. At one factory, a problem occurred in the cleaning process, resulting in the factory not being able to clean objects, but cracks also appeared on some objects. It was anticipated that these were caused by uneven acoustics pressure distribution which resulted in unsuitable cavitation This directly affected cleaning performance within the tank. In order to improve the tank's efficacy, in this research, we use Harmonic Response Analysis in ANSYS simulate simulate the occurrence of acoustic pressure in the tank to find the appropriate conditions of factors affected the intensity and the distribution pattern of acoustic pressure in ultrasonic tank, including the position of object, power, ultrasonic frequency and a suitable type and placing position of the transducer for the tank. Reliability of the simulate results was validate by the actual result from the foil corrosion test and the ultrasonic power probe. We found that objects receive different pattern of corrosion at each location. When temperature increasing the intensity of cavitation was increased. When we increase the ultrasonic frequency, acoustic pressure that is evenly dispersed throughout the tank.