Course Objectives
The aim of this course is to understand the following issues concerning thermodynamics:
(1) Understand the Rankine cycle.
(2) Understand regeneration, reheat, and combined cycle.
(3) Understand the freezing cycle.
(4) Understand the concept of statistical thermodynamics.
Rubric
| Ideal Level | Standard Level | Unacceptable Level |
| Achievement 1 | Fully understand the Rankine cycle. | Understand the Rankine cycle. | Do not understand the Rankine cycle. |
| Achievement 2 | Fully understand regeneration, reheat, and combined cycle. | Understand regeneration, reheat, and combined cycle. | Do not understand regeneration, reheat, and combined cycle. |
| Achievement 3 | Fully understand the freezing cycles. | Understand the freezing cycles. | Do not understand the freezing cycles. |
| Achievement 4 | Fully understand the concept of statistical thermodynamics. | Understand the concept of statistical thermodynamics. | Do not understand the concept of statistical thermodynamics. |
Assigned Department Objectives
Teaching Method
Outline:
In this lecture, students will first learn about steam-based thermal cycles, or the Rankine cycle. Then, they will learn about compound cycles with combination of the Brayton cycle, and frozen cycles. In the second half of the semester, they will learn about the basics of heat transfer, and learn about the basics and applications of magnetic heat convection.
Style:
Classes will be held in a lecture style. There will be assignments in every lesson to deepen understanding. (Liaison Seiichi Tanaka)
Notice:
Rather than memorizing knowledge, interpret basic thinking in your own mind. Ask questions actively if you don't understand.
Students who miss 1/3 or more of classes will not be eligible for evaluation.
Characteristics of Class / Division in Learning
Course Plan
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|
|
Theme |
Goals |
| 2nd Semester |
| 3rd Quarter |
| 1st |
P-v diagram of the water evaporation phenomenon and steam |
Consider the evaporation of water with phase change and study the p-v diagram.
|
| 2nd |
Water and water vapor state quantities and vapor wire diagrams |
Learn about water and steam states, and learn about the Mollier diagram.
|
| 3rd |
Vapor state change |
Learn about isothermal, isochoric, isotropic, and adiabatic changes in steam, as well as heat and work.
|
| 4th |
Rankine cycle 1 |
Learn about power and thermal efficiency in the Rankine cycle.
|
| 5th |
Rankine cycle 2 |
Learn about regeneration, reheat, and compound cycles.
|
| 6th |
Refrigeration cycle |
Learn about commonly used steam freezing cycles.
|
| 7th |
Introduction to statistical thermodynamics. |
Understand what statistical thermodynamics is and understand Maxwell's velocity distribution.
|
| 8th |
Midterm exam
|
|
| 4th Quarter |
| 9th |
Phase space and statistical mechanics |
Understand the behavior of multiparticle systems in phase space and deepen the understanding of phase space from the viewpoint of the behavior of a single vibration with one degree of freedom.
|
| 10th |
Statistical Mechanics Definition of Entropy |
Understand how the entropy of an ideal gas can be derived statistically in terms of microscopic interpretation of entropy.
|
| 11th |
Gibbs' paradox and fundamentals of quantum mechanics |
Based on mixing entropy, understand the contradiction due to the identifiability of particles. Also, understand the concept of quantum mechanics.
|
| 12th |
Quantum mechanical counting of microscopic states and ensemble theory |
Understand the unit volume of phase space based on quantum mechanics. Also, understand ensemble theory and probability density distribution functions in microcanonical ensembles.
|
| 13th |
Canonical ensemble and partition function |
Understand the partition function in the canonical ensemble, and how the specific heat and free energy are derived from the partition function.
|
| 14th |
Applications of statistical thermodynamics. |
Understand lattice defect concentration and elasticity of rubber, and understand statistical thermodynamics concepts.
|
| 15th |
Summary
|
|
| 16th |
Final exam
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Evaluation Method and Weight (%)
| Examination | Task | Mutual Evaluations between students | Behavior | Portfolio | Other | Total |
| Subtotal | 90 | 10 | 0 | 0 | 0 | 0 | 100 |
| Basic Proficiency | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Specialized Proficiency | 90 | 10 | 0 | 0 | 0 | 0 | 100 |
| Cross Area Proficiency | 0 | 0 | 0 | 0 | 0 | 0 | 0 |