Course title
4M986400,7M9000001
Experimental Thermo-fluid Engineering

 tange manabu Click to show questionnaire result at 2018
Course content
This lecture deals with various topics around experimental research on thermofluid such as fluid dynamics, heat transfer, mass transfer, combustion, etc.
The topics include measuring method, data analysis, image processing, and data 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.
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
Language
English
Class schedule

 Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1． Introduction
Self-introduction of your research theme
How to conduct experimental research in engineering fields
Governing equations of thermofluid: conservation laws of mass, momentum, and energy. 		Summarize your research topics and review a heat transfer textbook. 190minutes
2． Dimensions, units
Dimensional analysis
Dimensionless numbers 		Find the dimensions of heat flux, shear stress, viscosity, and thermal conductivity and check the definition of Reynolds number and Nusselt number. 190minutes
3． Buckingham pi theorem
Vectorial dimensional analysis 		Review dimensional analysis 190minutes
4． Elementary grammars of Python
Numerical data processing 		Solve the exercises of Python language 190minutes
5． Camera, light source, and setups
How to process digital images 		Review file formats of digital image files. 190minutes
6． Coordinate transformation
Image processing of a movie 		Review the matrix calculations in python and file formats of digital movie files. 190minutes
7． PIV experimental system: particles, laser, and dye
Movie
PIV principles 		Check pivchallenge.org and find images. 190minutes
8． Advanced techniques of PIV Consider the error included in PIV measurement. 190minutes
9． Presentation 1 (Image processing/PIV) Prepare the presentation. 190minutes
10． Measurement principles of various sensors
Measurement of pressure, velocity, and temperature 		Review the measurement principle of a U-tube manometer.
Check the definitions of dynamic and static pressures. 		190minutes
11． Calibration
Error estimation 		Review the calibration method and estimate the error of measurement instruments used for your research. 190minutes
12． Noise reduction
Data reduction
Sensitivity analysis 		Review the types of noise. 190minutes
13． Types of data visualization
Visualization of spatial and temporal data 		Check the types of graphs and charts used in articles relating to your research fields. 190minutes
14． Presentation 2 (Literature review) Pick up experimental research papers related to your project and prepare a presentation. 190minutes
Total. - - 2660minutes
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% -
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.
Textbooks and reference materials
Mills, Heat Transfer, Prentice Hall
Liptak, Instrument Engineers Handbook, Vol. 1: Process Measurement and Analysis, CRC Press
Prerequisites
Review fluid mechanics, thermodynamics, and heat transfer
Office hours and How to contact professors for questions
  • Wed, 12:30-13:10
Regionally-oriented
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
N/A N/A
Education related SDGs:the Sustainable Development Goals
  • 7.AFFORDABLE AND CLEAN ENERGY
  • 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
Last modified : Sun Mar 21 15:55:55 JST 2021