The Department of Engineering Education at KMITL offers courses in power electronics laboratory practices, which require the use of expensive imported training kits. This results in a loss of national revenue due to the purchase of these imported kits. Therefore, the developers propose a power electronics training kit that offers equivalent or superior functionality to the imported ones while being more cost-effective, making it suitable for student experiments.
การเรียนการสอนรายวิชาอิเล็กทรอนิกส์กำลังในปัจจุบัน มีการใช้การจำลองการทำงานด้วยโปรแกรมคอมพิวเตอร์ เนื่องจากขาดแคลนชุดทดลองจริง ซึ่งการทดลองกับอุปกรณ์จริงยังมีจำเป็นเป็นอย่างยิ่ง ดังนั้นจึงมีการริเริ่มในการสร้างด้วยตนเองเพื่อให้สามารถนำมาใช้ในการเรียนการสอนได้
คณะอุตสาหกรรมอาหาร
Oral disintegrating films (ODFs) can dissolve in the mouth instantly upon contact with saliva, without the need for water. This study aimed to investigate the effect of sorbitol concentration on the properties of oral disintegrating films containing Capsicum Oleoresin extract, which has properties that stimulate saliva secretion, making swallowing easier. The film was developed to address difficulties in swallowing, especially for individuals with dysphagia. The films were prepared using different concentrations of sorbitol and tested for rheological properties, mechanical properties, moisture content, free water content, thickness, disintegration time, contact angle, color, and antioxidant activity. The results indicated that sorbitol played a key role in increasing the flexibility and reducing the brittleness of the films. Additionally, an optimal concentration of sorbitol helped maintain the stability of the Capsicum extract and enhanced its efficacy in stimulating saliva secretion, thereby making swallowing more convenient and reducing oral friction. The films developed in this study demonstrate potential as an alternative for individuals with swallowing difficulties.
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
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คณะวิทยาศาสตร์
The current residential solar panels lack an adequate monitoring system, which hinders their optimal utilization. This research aims to design an Internet of Things (IoT) monitoring system and employ machine learning techniques to predict the current and voltage generated by solar panels. Experimental studies have revealed a correlation between dust accumulation and the current output of solar panels. The proposed system facilitates the prediction of the optimal time for cleaning solar panels.