Heat and work processes, the thermodynamic properties of fluids and gases, cyclic and non-cyclic processes, thermodynamic potentials and availability.
This paper presents the basic concepts and foundation theories of thermodynamics. The aims are that students should gain an understanding of fundamental concepts of systems, processes and thermodynamic properties, as well as the first and second laws of thermodynamics. This paper is fundamental for further work in the areas of process engineering, energy conversion and energy efficiency.
|Paper title||Thermoprocesses 1|
|Teaching period||First Semester|
|Domestic Tuition Fees (NZD)||$1,038.45|
|International Tuition Fees (NZD)||$4,492.80|
- One of PHSI 131, PHSI 132, PHSI 191, PHSI 110
- Pre or Corequisite
- MATH 160
- PHSI 263
- Schedule C
- More information link
- View more information about EMAN 201
- Teaching staff
- Assoc Prof Zhifa Sun
- Fundamentals of Engineering Thermodynamics, (7th Edition), Michael J. Moran, Howard N. Shapiro, Daisie D. Boettner, Margaret Bailey
- Graduate Attributes Emphasised
- Global perspective, Interdisciplinary perspective, Lifelong learning, Scholarship,
Communication, Critical thinking, Environmental literacy, Information literacy, Self-motivation.
View more information about Otago's graduate attributes.
- Learning Outcomes
- After completing this paper students will be able to:
- Distinguish between state and non-state variables and understand the properties of thermodynamic variables
- Understand the process descriptors adiabatic, isothermal, constant volume, constant pressure, reversible, quasi-static, non-quasi-static, work and heat
- Understand the first and second laws of thermodynamics
- Identify non-flow, steady-flow and unsteady-flow processes and apply the first and second laws in these situations
- Analyse both cyclic and non-cyclic processes by expressing the process constraints in terms of state variables and solve problems of thermodynamics by use of state property tables and diagrams
- Identify reversible and irreversible processes and apply these concepts to the entropy function