Chemical Engineering Computation with Matlab(r)

ISBN-13: 9780367547820 / Angielski / Twarda / 2020 / 827 str.

Yeong Koo Yeo

Opis

This new edition continues to present basic to advanced levels of problem-solving techniques using MATLAB. It provides even more examples and problems extracted from core chemical engineering subject areas and all code is updated to MATLAB version 2020. It also includes a new chapter on computational intelligence.

Spis treści

1. Introduction to MATLAB^® 2. Numerical Methods with MATLAB^® 3. Physical Properties 4. Thermodynamics 5. Fluid Mechanics 6. Chemical Reaction Engineering 7. Mass Transfer 8. Heat Transfer 9. Process Control 10. Optimization 11. Computational Intelligence

O autorze

Yeong Koo Yeo teaches chemical engineering at the College of Engineering of Hanyang University, Seoul, South Korea. He earned a BA (1979) and an MS (1982) in chemical engineering at Seoul National University and a PhD (1986) in chemical engineering at Auburn University. Before joining the Hanyang faculty in 1993, Professor Yeo was a senior researcher at KIST. He has taught various courses, such as process control, plant design, process analysis, optimization, computational process design, and model predictive control. A leading authority on process control and application of MATLAB, he is the author of four books. Introduction and Application of MATLAB (5th ed., 2019) has played a key role in establishing technical computing as an important field. Modern Process Control Engineering (3rd ed., 2020) has played a key role in establishing practical control education. Professor Yeo has also authored more than 149 articles in leading academic journals, such as Industrial and Engineering Chemistry Research, IEEE Transactions on Automatic Control, Chemical Engineering Communication, Japanese Journal of Chemical Engineering, Korean Journal of Chemical Engineering, and Hwahak Gonhak. His research interests include process control, process modeling and simulation, process artificial intelligence, and process optimization.