Multipurpose cleaner from Stemona (Stemonaceae) effectively cleans all surfaces,removes insects and stains, and is safe and eco-friendly
น้ำยาทำความสะอาดในตลาดมักมีสารเคมีที่เป็นอันตราย โครงงานนี้จึงศึกษาและพัฒนาน้ำยาทำความสะอาดอเนกประสงค์ที่ปลอดภัย ใช้งานได้หลากหลาย และเป็นมิตรกับสิ่งแวดล้อม
คณะวิศวกรรมศาสตร์
This thesis project was conducted to identify the optimal conditions for producing concentrated butterfly pea juice using vacuum evaporation to preserve key compounds in butterfly pea flowers, such as anthocyanins—natural pigments with high antioxidant properties. The study applies a Box-Behnken Design, a statistical method that facilitates analysis of multiple factors. The research focuses on the ratio of dried butterfly pea flowers to water, extraction temperature, and evaporation temperature, each of which has a direct effect on the preservation of key compounds, color, aroma, and flavor. The results indicate that using a dried flower-to-water ratio of 1:15, an extraction temperature of 60°C, and an evaporation temperature of 40°C under low pressure can minimize the loss of essential compounds and best retain the properties of the concentrated butterfly pea juice. Findings from this research provide a foundation for developing an industrial production process for concentrated butterfly pea juice and enhance the potential for creating new products from butterfly pea flowers.
คณะวิศวกรรมศาสตร์
This cooperative education project aims to enhance the efficiency of Hydrogen Manufacturing Unit 2 (HMU-2) and Pressure Swing Adsorption 3 (PSA-3) by using AVEVA Pro/II process modeling and a Machine Learning model for process simulation. The study found that the AVEVA Pro/II model predicted outcomes with deviations ranging from 0–35%, including a hydrogen flow rate deviation from the PSA unit of 12%, exceeding the company’s acceptable limit of 10%. To address this, a Machine Learning model based on the Random Forest algorithm was developed with hyperparameter tuning. The Machine Learning model demonstrated high accuracy, achieving Mean Squared Errors (MSE) of 8.48 and 0.18 for process and laboratory data, respectively, and R-squared values of 0.98 and 0.88 for the same datasets. It outperformed the AVEVA Pro/II model in predicting all variables and reduced the hydrogen flow rate deviation to 4.75% and 1.35% for production rates of 180 and 220 tons per day, respectively. Optimization using the model provided recommendations for process adjustments, increasing hydrogen production by 7.8 tons per day and generating an additional annual profit of 850,966.23 Baht.
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
Koh Tao, a picturesque island in Thailand, is famous for its breathtaking coral reefs and vibrant marine life, attracting diving enthusiasts from all over the world. Despite its natural beauty, the island currently lacks innovative accommodations that enhance the visitor experience and promote environmental sustainability. This project proposes the development of a unique four-star floating resort with underwater villas, designed to offer an extraordinary lodging experience that fosters a deeper connection with the marine environment. By incorporating sustainable practices into the resort's design and operations, the project addresses the growing demand for eco-friendly tourism in the region. The floating resort concept aims not only to provide guests with an immersive experience but also to raise awareness about marine conservation. Through eco-friendly design and operations, the resort seeks to set a benchmark for sustainable tourism in Koh Tao, showcasing how accommodations can align with environmental stewardship, benefiting both the local ecosystem and tourism.