## Chih-Jen Shih: Catalogue data in Autumn Semester 2022 |

Name | Prof. Dr. Chih-Jen Shih |

Field | Chemical Engineering |

Address | Professur für Technische Chemie ETH Zürich, HCI F 137 Vladimir-Prelog-Weg 1-5/10 8093 Zürich SWITZERLAND |

Telephone | +41 44 633 42 40 |

chih-jen.shih@chem.ethz.ch | |

Department | Chemistry and Applied Biosciences |

Relationship | Associate Professor |

Number | Title | ECTS | Hours | Lecturers | |
---|---|---|---|---|---|

151-0917-00L | Mass Transfer | 4 credits | 2V + 2U | S. E. Pratsinis, V. Mavrantzas, C.‑J. Shih | |

Abstract | This course presents the fundamentals of transport phenomena with emphasis on mass transfer. The physical significance of basic principles is elucidated and quantitatively described. Furthermore the application of these principles to important engineering problems is demonstrated. | ||||

Objective | This course presents the fundamentals of transport phenomena with emphasis on mass transfer. The physical significance of basic principles is elucidated and quantitatively described. Furthermore the application of these principles to important engineering problems is demonstrated. | ||||

Content | Fick's laws; application and significance of mass transfer; comparison of Fick's laws with Newton's and Fourier's laws; derivation of Fick's 2nd law; diffusion in dilute and concentrated solutions; rotating disk; dispersion; diffusion coefficients, viscosity and heat conduction (Pr and Sc numbers); Brownian motion; Stokes-Einstein equation; mass transfer coefficients (Nu and Sh numbers); mass transfer across interfaces; Analogies for mass-, heat-, and momentum transfer in turbulent flows; film-, penetration-, and surface renewal theories; simultaneous mass, heat and momentum transfer (boundary layers); homogeneous and heterogeneous reversible and irreversible reactions; diffusion-controlled reactions; mass transfer and first order heterogeneous reaction. Applications. | ||||

Literature | Cussler, E.L.: "Diffusion", 3nd edition, Cambridge University Press, 2009. | ||||

Prerequisites / Notice | Students attending this highly-demanding course are expected to allocate sufficient time within their weekly schedule to successfully conduct the exercises. | ||||

401-0675-00L | Statistical and Numerical Methods for Chemical Engineers | 3 credits | 2V + 2U | R. Käppeli, P. Müller, C.‑J. Shih | |

Abstract | This course covers common numerical algorithms and statistical methods used by chemical engineers to solve typical problems arising in industrial and research practice. | ||||

Objective | This course covers common numerical algorithms and statistical methods used by chemical engineers to solve typical problems arising in industrial and research practice. The focus is on application of these algorithms to real world problems, while the underlying mathematical principles are also explained. The MATLAB environment is adopted to integrate computation, visualization and programming. | ||||

Content | Topics covered: Part I: Numerical Methods: - Interpolation & Numerical Calculus - Non-linear Equations - Ordinary Differential Equations - Partial Differential Equations - Linear and Non-linear Least Squares Part II: Statistical Methods: - Data analysis and regression methods - Statistical experimental design - Multivariate analysis | ||||

Lecture notes | For the numerics part, see http://www.sam.math.ethz.ch/~karoger/numci/2022/ For the statistics part, see http://stat.ethz.ch/lectures/as22/statistical-numerical-methods.php | ||||

Literature | Recommended reading: 1) U. Ascher and C. Greif, A First Course in Numerical Methods, SIAM, Philadelphia, 2011 2) K. J. Beers, Numerical Methods for Chemical Engineering : Applications in MATLAB, Cambridge : Cambridge University Press, 2006 3) W. H. Press, S. A. Teukolsky, W. T. Vetterling, B. P. Flannery, Numerical Recipes, Cambridge University Press 4) W. A. Stahel, Statistische Datenanalyse, Vieweg, 4th edition 2002 |