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- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
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School of Environment and Society
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- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Undergraduate major in Chemical Science and Engineering
- Instructor(s)
- Fuchino Tetsuo
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- Tue3-4(S421)
- Group
- -
- Course number
- CAP.C213
- Credits
- 1
- Academic year
- 2017
- Offered quarter
- 4Q
- Syllabus updated
- 2017/4/27
- Lecture notes updated
- 2018/2/7
- Language used
- Japanese
- Access Index
-
Course description and aims
The goal of this course is for students to learn the basics of process systems engineering. On the basis of the fundamental elements of chemical engineering such as unit operation and transport operations, the methodology for modeling, simulation and optimization is studied for the purpose of process analysis, design and operation. Specifically, students learn the simulation model and approach after having learned the model structure analytical technique and the process structure analytical technique. Moreover, students study the basics of process design approach, operation, production planning and the optimization technique. For the optimization technique, students study linear and integer programming methods and their applications.
Student learning outcomes
At the end of this course, students will be able to:
1) Have an understanding of approaches to modeling, simulation, evaluation and optimization essential for performing process analysis, synthesis, design and operation.
2) Have an understanding of mathematical means to perform a systems approach and optimization techniques such as linear programming and integer programming, and based on these, to apply these mathematical techniques to production planning and process design.
Keywords
Process analysis, Process synthesis, Modeling, Simulation, Optimization
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
A lecture is given on each topic. I assign practice problems for each class to check students' understanding of the material.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Introduction to Process Systems Engineering | Understanding the properties of system performance, and importance of process analysis, synthesis, and design. |
| Class 2 | Process Analysis Methods: System Structural Representation and Analysis Methods | Acquiring the ability to represent the process structural information and analyze the properties of the process structure. |
| Class 3 | Recycle Structure of Continuous Process and Simulation Approach (Sequential Modular Approach) | Understanding the properties of recycle structures in continuous processes. Acquiring the skills for tearing and converting using the Wegstein method. |
| Class 4 | Recycle Structure of Continuous Process and Simulation Approach (Simultaneous Approach) | Process linear modeling and inverse matrix calculation |
| Class 5 | Operation Design (Recipe Design) of Batch Processes | Gaining an understanding of the relationship between process models, procedure models, and physical models based on ANSI/ISA-S88.01. Learning the recipe design method on the basis of ANSI/ISA-S88.01. |
| Class 6 | Scheduling and Production Planning of Batch Processes | Assuming the campaign production in batch processes and evaluation of the productivity |
| Class 7 | Linear Programing and Production Planning of Continuous Processes | Linear Programing with the simplex method. Changeover scheduling for continuous processes |
| Class 8 | Integer Programing and Scheduling | Branch and bound method, Integer Programing, Scheduling for batch processes |
Textbook(s)
All materials used in class can be found on OCW-i.
Reference books, course materials, etc.
T.F.Edgar, D.M.Himmelbrau, L.S.Lasdon, "Optimization of chemical processes" Mc Graw-Hill
Assessment criteria and methods
Students’ course scores are based on final exams (70%) and exercise problems (30%).
Related courses
- CAP.I417 ： Introduction to Chemical Engineering (Unit Operation)
- CAP.A355 ： Chemistry of Catalytic Processes I (Homogeneous)
Prerequisites (i.e., required knowledge, skills, courses, etc.)
No prerequisites are necessary, but enrollment in the related courses is desirable.
Contact information (e-mail and phone) Notice : Please replace from "[at]" to "@"(half-width character).
fuchino[at]chemeng.titech.ac.jp
Office hours
Contact by e-mail in advance to schedule an appointment.
