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Dr. Ali Al-Matar
Other Academic Activities
ChE Thermodynamics I
Introduction to thermodynamic concepts, first law of thermodynamics, second law of thermodynamics, applications of the first and second laws of thermodynamics of chemical process equipment, application to power cycles and refrigeration, equations of state, properties of pure components and stability in single component systems.
ChE Thermodynamics II
Relationships among thermodynamic properties: equations, tables, diagrams. Estimation of auxiliary physical properties. Properties of mixtures and solutions: fugacity of gases and liquids, ideal and non-ideal solutions, activity and standard states, Gibbs-Duhem equation. Physical equilibria among phases: phase rule, vapor-liquid equilibria for various systems. Equilibrium phase diagrams. Chemical reactions equilibria.
Review of gases behavior and thermodynamics. Chemical equilibrium in solutions. Heterogeneous equilibrium. Shifts of equilibrium and its dependence on temperature and pressure. Electrolyte solutions, weak and strong electrolytes, ion conductivity, and activity coefficient. Electrochemical cells, standard electrode potential, Types of electrochemical cells, and basics of fuel cells, photogalvanic cells, batteries. Basic ideas of chemical kinetics, rate of reaction, Arhenius equation, empirical rate equation. Introduction to applications of surface chemistry and colloids.
Computer applications in chemical engineering
An applied course focusing on use of internet and computer packages to equip the students with the essentials of using computers in chemical engineering. Internet: Useful chemical engineering links and databases and JU’s e-library. Computer Packages: Getting started with some available packages used in typical modern chemical engineering textbooks, e.g., Polymath, and Matlab. Also, one lab will be dedicated for advanced skills using MS Word and two labs as an introduction to HYSYS process simulator. Students will undertake a number of assignments involving solving problems utilizing Internet acquired information as well as the numerical, symbolic and graphical capabilities of the computer packages.
Process modeling by statistical methods
· Introduction to deterministic and stochastic modeling as applied to chemical engineering.
· Descriptive statistics including analysis of data and relevant statistical methods.
· Basic probability theory: probability laws and distributions
o Discrete probability distributions: Bernoulli, Binomial etc.
o Continuous probability distributions: uniform, exponential, normal etc.
· Random samples and sampling distributions: Chi square, T-distribution, F-Distribution.
· Hypothesis testing.
· Regression and correlation analysis (if time permits).
· Introduction to statistical quality control (if time permits).
Statistical quality control
Quality improvement; its importance, dimensions and costs. Statistical quality control: basic statistical tools, control charts (x-bar, S, and R charts), analysis of charts, process capability. Principles of TQM and trends in quality management. The ISO model and its requirements and specifications, and ISO application to the chemical industry including brief overview of ISO 9000, 14000 and 18000.
This class will provide the students with intermediate and advanced concepts of thermodynamics. It will help the students apply their knowledge of classical thermodynamics specifically as it relates to the calculation of thermophysical properties, phase equilibria, and chemical equilibria for generalized systems. Additionally, there will be many instances in which the students are required to relate the macroscopic properties to the molecular view of matter.
Mass Transfer (MSc)
This course includes an introduction, ordinary diffusion with applications, conservation equations with application, different kinds of diffusion, concentration distributions with more than one, independent variables, different methods used to solve it, convective mass transfer models with applications, mass transfer with chemical reactions, simultaneous heat and mass transfer, multicomponent diffusion, diffusion and flow in porous media, interphase mass transfer, mass transfer with high mass transfer rates, mass transfer in turbulent flow.
Computer Aided Design (CAD-MSc)
This course includes a review of process optimization, computer aided design of continuous and non-continuous chemical processes, strategies for process flow sheeting computations, algorithms for partitioning, design variable selection and tearing, sparse matrix computations and data storage, design and scheduling of batch chemical processes, process chemical synthesis of heat integration and individual projects using available process simulators.
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