Holiday
ENG I工一 209 F5F6F7
This course aims to provide a comprehensive view of theory and application of experimental techniques for thermo-fluid science. Computer data acquisition, pressure, temperature, and velocity measurements with advanced experimental techniques like particle image velocimetry (PIV), pressure/temperature-sensitive paint (PSP/TSP) will be included, as well as flow visualization.
Course keywords: experimental technique, thermo-fluid science, data analysis, pressure, temperature, velocity, flow visualization 一、課程說明(Course Description) This course aims to provide a comprehensive view of theory and application of experimental techniques for thermo-fluid measurements. Computer data acquisition, pressure, temperature, and velocity measurements with advanced experimental techniques like particle image velocimetry (PIV), pressure/temperature-sensitive paint (PSP/TSP) will be included, as well as flow visualization. 二、指定用書(Text Books) Textbook: Class notes 三、參考書籍(References) Recommended references: ‧ Fluid Mechanics Measurements, R. Goldstein ‧ Particle Image Velocimetry, M. Raffel, C. E. Willert, S. T. Wereley, J. Kompenhans ‧ Pressure and Temperature Sensitive Paints, T. Liu, J. Sullivan 四、教學方式(Teaching Method) Lecture, labs, and course project Course project: Teams of up to two/three, select a topic which is interesting to you and your teammate. Use the skill learned from the course, design and execute experiment to acquire the necessary information for your project. 五、教學進度(Syllabus) Topics: Introduction Measurement uncertainty Pressure measurement Velocity measurement Temperature measurement Flow visualization Pre-designed lab for calibration and data analysis Pre-designed lab for wind tunnel measurement Pre-designed lab for water tunnel measurement Course project 六、成績考核(Evaluation) Grading: Midterm 20%, Final project 40%, HW 10%, and Labs 30% ***Important Notice" Ethics Statement on Generative Artificial Intelligence After careful consideration, the instructor of this course deems it inappropriate to use generative artificial intelligence in this class. This is because the content within generative AI contains numerous errors and may adversely affect students' understanding of foundational knowledge. In accordance with the published Guidelines for Collaboration, Co-learning, and Cultivation of Artificial Intelligence Competencies in University Education, this course adopts the following policy : Prohibited use Students enrolled in this course should be aware that they may not submit assignments, reports, or personal reflections generated using artificial intelligence. If such usage is discovered, instructors, the institution, or relevant units have the right to reevaluate the assignment or report or withhold scores. Students enrolled in this course agree to the above ethics statement if registering for the class.
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Average GPA 3.54
Std. Deviation 0.35
動機系大學部能源學程選修
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