Numerical Methods In Chemical Engineering Using Python And Simulink
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Numerical Methods in Chemical Engineering Using Python® and Simulink®
Numerical methods are vital to the practice of chemical engineering, allowing for the solution of real-world problems. Written in a concise and practical format, this textbook introduces readers to the numerical methods required in the discipline of chemical engineering and enables them to validate their solutions using both Python and Simulink. Introduces numerical methods, followed by the solution of linear and nonlinear algebraic equations. Deals with the numerical integration of a definite function and solves initial and boundary value ordinary differential equations with different orders. Weaves in examples of various numerical methods and validates solutions to each with Python and Simulink graphical programming. Features appendices on how to use Python and Simulink. Aimed at advanced undergraduate and graduate chemical engineering students, as well as practicing chemical engineers, this textbook offers a guide to the use of two of the most widely used programs in the discipline. The textbook features numerous video lectures of applications and a solutions manual for qualifying instructors.
Principles of Chemical Engineering Processes
Principles of Chemical Engineering Processes: Material and Energy Balances continues to serve an essential text, guiding students on the basic principles and calculation techniques used in the field of chemical engineering and providing a solid understanding of the fundamentals of the application of material and energy balances. This third edition has been updated to reflect advances in the field and feedback from professors and students. Packed with illustrative examples and case studies, this book: • Features learning objectives and homework problems in every chapter, new material on software modeling, and additional and enhanced solved examples and problems. • Discusses problems in material and energy balances related to chemical reactors and explains the concepts of dimensions, units, psychrometry, steam properties, and conservation of mass and energy. • Demonstrates how Python, MATLAB®, and Simulink® can be used to solve complicated problems of material and energy balances, and now features an introduction to the basics of building Simulink models. • Demonstrates how Python and its libraries, such as NumPy and SciPy, can be used to solve complex problems in material and energy balances, and introduces the basics of building models using Python frameworks similar to Simulink. • Shows how to solve steady-state and transient mass and energy balance problems involving multiple-unit processes and recycle, bypass, and purge streams. • Develops quantitative problem-solving skills, specifically the ability to think quantitatively (including numbers and units), the ability to translate words into diagrams and mathematical expressions, the ability to use common sense to interpret vague and ambiguous language in problem statements, and the ability to make judicious use of approximations and reasonable assumptions to simplify problems. • Offers educational software and sample tutorials and quizzes for download. Aimed at both chemical engineering students and professionals, this book helps readers understand how to calculate, manage, and apply the key ideas of material and energy use in chemical processes through real-world examples. Lecture slides and a solutions manual are available with qualifying course adoption.
Numerical Methods for Chemical Engineering
Author: Kenneth J. Beers
language: en
Publisher: Cambridge University Press
Release Date: 2007
Applications of numerical mathematics and scientific computing to chemical engineering.