Course title
4M9999301
Bio Heat Transfer Engineering

KOGAWA Takuma
Course content
Bio-Heat Transfer Engineering is a field that deals with heat transfer phenomena occurring within the human body. This course aims to help students understand how the heat transfer phenomena inside the body relate to subjects previously studied such as "Thermodynamics" and "Heat Transfer Engineering," and to learn modeling methods for these phenomena.
Purpose of class
In this course, students will understand how concepts such as Fourier’s Law and the Second Law of Thermodynamics are involved in the human body, and will learn modeling methods for these processes. Furthermore, students will build and improve simple programs to analyze bio-heat transfer phenomena and construct a program capable of calculating the body's thermal responses under various thermal environments.
Goals and objectives
  1. Understand the energy equation describing heat transfer in the body and explain how each term influences the temperature distribution in the body.
  2. Explain the effects of blood flow on the body's thermal response.
  3. Explain the causes and effects of physiological responses such as shivering, sweating, and vasodilation/constriction.
  4. Explain the overview and characteristics of representative bio-heat models.
  5. Understand simple computational programs for bio-heat models and improve these programs independently.
Relationship between 'Goals and Objectives' and 'Course Outcomes'

Report1 Report2 Total.
1. 13% 13%
2. 13% 13%
3. 12% 12%
4. 12% 12%
5. 50% 50%
Total. 50% 50% -
Language
Japanese
Class schedule

Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. Introduction and review of Thermodynamics and Heat Transfer Engineering Review the material provided in class 190minutes
2. Energy equation describing the human body (Pennes' bioheat equation) Review the material provided in class 190minutes
3. Representative physiological responses of the human body Review the material provided in class 190minutes
4. Overview and characteristics of bio-heat models Review the material provided in class 190minutes
5. Representative discretization methods for governing equations Review the material provided in class 190minutes
6. Implementation of a discretized program using Excel Review the material provided in class 190minutes
7. Implementation of a discretized program using Excel Review the material provided in class 190minutes
8. Introduction to using Python Review the material provided in class 190minutes
9. Continued learning of Python Review the material provided in class 190minutes
10. Implementation of a bio-heat model using Python Developing program 190minutes
11. Implementation of a bio-heat model using Python Developing program 190minutes
12. Implementation of a bio-heat model using Python Developing program 190minutes
13. Implementation of a bio-heat model using Python Developing program 190minutes
14. Implementation of a bio-heat model using Python Developing program 190minutes
Total. - - 2660minutes
Evaluation method and criteria
[Evaluation Method] Evaluation will be based on report assignments given during the course.
[Criteria] A passing grade is 60 or above. The standard is the ability to model bio-heat transfer phenomena using knowledge of heat transfer and thermodynamics.
Feedback on exams, assignments, etc.
ways of feedback specific contents about "Other"
Feedback in the class
Textbooks and reference materials
- S.V. Patankar, "Numerical Heat Transfer and Fluid Flow"
- JSME Textbook Series, "Heat Transfer Engineering"
Prerequisites
Review the basic knoledge of the themodynicamis and heat and mass transfer before the class.
Office hours and How to contact professors for questions
  • Questions will be answered after class or via email.
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates a basic problem-solving skills
Active-learning course
About half of the 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
  • 3.GOOD HEALTH AND WELL-BEING
  • 11.SUSTAINABLE CITIES AND COMMUNITIES
Last modified : Wed Mar 26 04:05:46 JST 2025