Course title
Experimental Thermo-fluid Engineering

TANGE Manabu Click to show questionnaire result at 2018
Course content
This lecture deals with various topics related to experimental research on thermofluid, such as fluid dynamics, heat transfer, mass transfer, combustion, etc.
The topics include measuring methods, data analysis, image processing, and visualization.
You will learn the governing equations of thermo-fluid phenomena and the evaluation of experimental results.
You will master calibration methods, error estimations, and validation of experimental results.
You will also learn the image processing technique.

This course is held online.
Purpose of class
The objectives of this course is to master data reduction and data validation of experimental results on thermo-fluid phenomena.
Goals and objectives
  1. To understand the goverining equations of thermo-fluid phenomena, and to evaluate experimental results.
  2. To master calibration methods and error estimations, and to validate experimental results.
  3. To understand image processing technique
Relationship between 'Goals and Objectives' and 'Course Outcomes'

Midterm assignment Final assignment Total.
1. 10% 10% 20%
2. 20% 20% 40%
3. 20% 20% 40%
Total. 50% 50% -
Class schedule

Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. Introduction
Your research field and your research question
Numerical data processing with Python
Summarize your research topics. 190minutes
2. How to conduct experimental research in engineering fields
Governing equations of thermofluid
Three modes of heat transfer
Review a heat transfer textbook. 190minutes
Solve the exercises of Python language
3. Dimensions and units
Dimensional analysis
Dimensionless number
Vectorial dimensional analysis
Find the dimensions of heat flux, shear stress, viscosity, and thermal conductivity and check the definition of Reynolds number and Nusselt number. 190minutes
4. Measurement of pressure, velocity, and temperature
Noise reduction
Check the measurement system of your experimental system. 190minutes
5. Data reduction
Uncertainty analysis
Sensitivity analysis
Review the calibration method and estimate the error of measurement instruments used for your research. 190minutes
Pick up experimental research papers related to your project and prepare a presentation.
6. Presentation 1 (Literature review)
5 minutes per student, including Q and A
Prepare assignment 1. 190minutes
7. Presentation 1 (Literature review)
5 minutes per student, including Q and A
Prepare assignment 1. 190minutes
8. Experimental system for image processing
Coordinate transformation
How to process digital images
Check the digital image formats. 190minutes
9. Color information
Binary image
Movie processing
Solve the exercises. 190minutes
10. Template matching
Feature extraction
Application to thermofluid research
Solve the exercises. 190minutes
11. PIV experimental system
PIV principles
Solve the exercises. 190minutes
12. Validation and correction of velocity vectors
Advanced techniques of PIV
Other flow measurement techniques
Take a photo for the image processing exercises and determine what you measure from the image. 190minutes
13. Presentation 2 (Image processing)
5 minutes per student, including Q and A
Prepare assignment 2. 190minutes
14. Presentation 2 (Image processing)
5 minutes per student, including Q and A
Prepare assignment 2. 190minutes
Total. - - 2660minutes
Evaluation method and criteria
Two assignments (50% + 50%)
Students must learn the elementary knowledges and the basic techniques on thermo-fluid phenomena to earn at least 60% of the overall score.
Feedback on exams, assignments, etc.
ways of feedback specific contents about "Other"
Feedback in the class
Textbooks and reference materials
Mills, Heat Transfer, Prentice Hall, 1998.
Liptak, Instrument Engineers Handbook, Vol. 1: Process Measurement and Analysis, CRC Press, 2003.
Han and Write, Experimental Methods in Heat Transfer and Fluid Mechanics, CRC Press, 2022.
Willert, Particle Image Velocimetry: A Practical Guide, Springer, 2007.
Bradski and Kaehler, Learning OpenCV: Computer Vision with the OpenCV Library, O'Reilly Media, 2008.
Review fluid mechanics, thermodynamics, and heat transfer
Office hours and How to contact professors for questions
  • Wed, 12:30-13:10
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates a basic problem-solving skills
Active-learning course
Most classes are interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicable
Education related SDGs:the Sustainable Development Goals
Last modified : Tue Mar 12 04:11:10 JST 2024