Overview

Explore chemical engineering principles using MATLAB for data analysis, visualization, and solving intricate problems MATLAB-based Computations of Chemical Engineering Principles is an in-depth textbook that enables readers to transform classical chemical engineering principles and calculations into MATLAB-based calculations. Throughout the text, problems are solved through two methods: manually (i.e., classical) and via implementing MATLAB code (i.e., digital or software-assisted), with a focus on the latter when solving problems involving multiple steps or complex solutions, or when working with large databases, such as dealing with physical properties of compounds. Seven appendices contain large-size MATLAB codes. In general, small-size MATLAB code is kept within the relevant chapter section. All codes have been verified using the MATLAB platform. End-of-chapter problems reinforce learning by students. The textbook includes problems and solutions related to concepts including: System units and measurement, process variables measurement, and measurement variations and uncertainty Types of errors involved in measurements and energy balance applications for closed and open (flow) systems Total and component material balances, chemical reaction stoichiometry, conversion, yield, selectivity, and chemical equilibrium Properties of pure substances and mixtures as well as vapor liquid equilibrium for single and multi-component mixtures Equations of state for gases Comprehensive in scope with a plethora of helpful learning aids included throughout, this is a perfect textbook for sophomore courses titled Chemical Engineering Principles, Chemical Engineering Stoichiometric Calculations, Fundamentals of Chemical Engineering, Introduction to Chemical Engineering, or Essentials of Chemical Engineering.

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9781394308828

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Author Information

Dr. Kamal I.M. Al-Malah is a Professor of Chemical Engineering. He holds B.S., M.S., and Ph.D. degrees, all in chemical/biochemical engineering from Oregon State University. He currently researches the modeling, simulation, optimization, machine learning, and deep learning aspects of physical/biophysical systems and characterization of molecular properties within the fields of chemical, biochemical, pharmaceutical, and food engineering. He is sole author of four other textbooks with renowned science and engineering book publishers.

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