Course

Applied Industrial Chemistry - INDC3001

Faculty: Faculty of Engineering

School: School of Chemical Engineering

Course Outline: http://www.chse.unsw.edu.au

Campus: Sydney

Career: Undergraduate

Units of Credit: 6

EFTSL: 0.12500 (more info)

Indicative Contact Hours per Week: 5

Enrolment Requirements:

Pre-requisites: CEIC2000, CHEM2021, MATH2089

CSS Contribution Charge: 2 (more info)

Tuition Fee: See Tuition Fee Schedule

Further Information: See Class Timetable

View course information for previous years.

Description

Pre Requisites are CEIC2000, CEIC2001, CEIC2002

Industrial separation processes and experimental design. In this course, the student will learn about the major unit operations upon which most chemical manufacturing processes are based. We will also discuss the chemical engineering problems that have to be overcome to conduct chemical syntheses on an industrial scale. Detailed process analyses of selected commercial chemical processes will be undertaken, and will include market analyses, comparison of alternative processes, historical aspects, thermodynamics and reaction kinetics of major chemical steps and catalysis where relevant. The class will be taught in lectures accompanied by interactive tutorials as well as assignment. As a component of this course, experimental design which deals with the design and analysis of experiments with respect to the chemical and process industries will be included. Linear and multiple linear regression for data analysis is covered. Factorial design and response surface methodology and taught in some detail within the context of engineering problems in the chemical and process industries. Fractional factorial designs and blocking and confounding are also covered in an industrial context. The tools and skills from this course are applicable for students€™ conducting research projects as well as optimisation work on existing unit operations and even extend to applications outside of science and engineering. The focus is on efficient design and robust, objective analysis.


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