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Course Criteria
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3.00 Credits
Prerequisites: MATH246; ENCH426 and ENCH440. Mathematical techniques applied to the analysis and solution of chemical engineering problems. Use of differentiation, integration, differential equations, partial differential equations and integral transforms. Application of infinite series, numerical and statistical methods.
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3.00 Credits
Prerequisites: MATH246; ENCH426 and ENCH440. Applications of mathematical models to the analysis and optimization of chemical processes. Models based on transport, chemical kinetics and other chemical engineering principles will be employed. Emphasis on evaluation of process alternatives.
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3.00 Credits
One hour of lecture and six hours of laboratory per week. Prerequisite: ENCH422. Credit will be granted for only one of the following: ENCH455 or ENCH468Z. Formerly ENCH468Z. Empirical model identification from process data. Step and impulse response models. Linearization of nonlinear first principles models. Single variable Model Predictive Control. Robustness with respect to modeling error. MPC based tuning of PID controllers. Feedforward control. Multi-input multi-output processes. Multi-loop decentralized control. Centralized multivariable Model Predictive Control via on-line optimization.
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3.00 Credits
Prerequisite: ENCH442. Credit will be granted for only one of the following: ENCH442 or ENCH468L. Formerly ENCH468L. An introduction to the problem of designing plantwide control system architectures. Steady state gain calculation, singular value decomposition, relative gain array, niederlinski index, cascade control, averaging level control loop tuning, dynamic simulation, model based control. The Tennessee Eastmen challenge problem is used throughout the course to illustrate the methods discussed.
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1.00 - 3.00 Credits
Prerequisite: permission of both department and instructor. Repeatable to 6 credits. Investigation of a research project under the direction of a faculty member. Comprehensive reports are required.
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3.00 Credits
Prerequisites: ENCH400; ENCH424; ENCH426; and CHEM482. Credit will be granted for only one of the following: ENCH468C or ENCH470. Formerly ENCH468C. Introduction to colloidal systems. Preparation, stability and coagulation kinetics of colloidal suspensions. Introduction to DLVO theory, electrokinetic phenomena, rheology of dispersions, surface/interfacial tension, solute absorption at gas-liquid, liquid-liquid, liquid-solid and gas-solid interfaces and properties of micelles and other microstructures.
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3.00 Credits
Credit will be granted for only one of the following: ENCH468I or ENCH471. Formerly ENCH468I. Theory and modeling techniques for particle formation and particle size distribution dynamics. Science and technology of multiphase systems, powder and aerosol technology. Industrial, environmental and occupational applications: dry powder delivery of drugs, aerosol generation methods, nanoparticles, biowarfare agent detection, dry powder mixing, particulate emissions. Design particle synthesis and processing systems, particle removal systems.
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3.00 Credits
Credit will be granted for only one of the following: ENCH468D or ENCH472. Formerly ENCH468D. Effects and sources of air pollutants, legislation and regulatory trends; meteorology, atmospheric dispersion models; distribution functions, particle size distributions; particulate control.
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3.00 Credits
Senior standing. Credit will be granted for only one of the following: ENCH468E or ENCH475. Formerly ENCH468E. Ethical issues in science and engineering and their resolutions. Scientific truth: proper data analysis, proper data presentation, and record-keeping. Human aspects: attribution, confidentiality, conflict of interests, mentoring and inclusion of underrepresented groups. Societal aspects: funding priorities, moral issues, responsibilities of engineers to clients, ecological issues, and human and animal subjects. Class meetings are organized around discussions, case studies, and student reports.
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3.00 Credits
Credit will be granted for only one of the following: ENCH468G or ENCH476. Formerly ENCH468G. Intelligent design of experiments and statistical analysis of data. Probability, probability distribution, error analysis; data collection, sampling, graphing; variance, significant tests. Cluster analysis and pattern recognition. Factorial design, combinatorial methods.
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