"In this digital era, we have to assure a smooth transition from the analog. This book serves as transforming classical chemical engineering principles and calculations into MATLAB-based calculations of chemical engineering principles. Consequently, I attempted to solve the problem in hand using two methods: Manually (i.e., classical) and via implementing MATLAB code (i.e., digital or software-assisted). Whenever the manual approach is made of simple steps, then the MATLAB-based approach will not be worth it. The MATLAB-based approach will definitely supersede the manual approach when it comes to problems involving multi-steps or complex solution or dealing with sets or databases of data, like physical properties of compounds, in general. The code has been verified using MATLAB platform. The MATLAB code is available for the user within the chapter itself or as an appendix. The human language algorithm is also included for the sake of learning, or the MATLAB code itself is annotated by an explanatory comment. I dedicated seven appendices from B to H, which contain large-size MATLAB codes for the instructor/user to refer to later. In general, a small-size MATLAB code is kept within the relevant chapter section. The book is meant to be a textbook, equipped with end of chapter problems, for a sophomore Chemical Engineering Principles course, or as it is called in different titles: Chemical Engineering Stoichiometric Calculations, Fundamentals of Chemical Engineering, Introduction to Chemical Engineering, or Essentials of Chemical Engineering. The textbook is essentially devoted to core chemical engineering principles with the injection of MATLAB code in solving numerical problems related to such principles. The chapters comprise: System units and measurement, process variables measurement, measurement variations and uncertainty, the types of errors involved in measurements, total and component material balances, chemical reaction stoichiometry, equations of state for gases, properties of pure substances and of mixtures, vapor liquid equilibrium for a single and multi-component mixture, and energy balance applications for closed and open (flow) systems"--
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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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