| TFKI28 | Chemical Reaction Engineering, 9 ECTS credits. /Kemisk och biologisk reaktionsteknik/ |
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Prel. scheduled
hours: 66 |
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Area of Education: Technology Subject area: Chemical Engineering |
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| Advancement level
(A-D): B
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| Aim: The goal of the course is to introduce students to the basic concepts of chemical and biological reactor design with chemical and biological engineering applications. Additionally, students will learn how to use Matlab to solve typical reaction engineering problems. The objectives are laid out in the following six levels, with the required knowledge and depth of understanding increasing with each level. A pass in the course can be obtained by demonstrating an ability to be able to complete the first three levels. Higher grades require an ability to complete all levels of objectives. By the end of the course, students are to be able to: (1) Demonstrate knowledge of facts: define CSTR, PFR, batch reactor, conversion, selectivity, yield, space time, residence time and steady state; (2) Explain and describe common reactor systems: describe a CSTR, PFR and batch reactor, including advantages and disadvantages of each and, in general terms, when they might be used; (3) Apply knowledge in order to design reactor systems: calculate the size of a CSTR, PFR and batch reactor, given appropriate data; calculate conversion in a given CSTR, PFR or batch reactor; perform the previous calculations for reactors with variable pressure, unknown temperature (i.e. calculate the temperature and conversion or volume), and under non-steady state conditions; calculate the equilibrium conversion for a given reaction; estimate the activation energy and pre-exponential factor for an Arrhenius-type reaction; estimate reaction order from experimental data for simple reactions; use Matlab to do all of the above for cases, especially for cases where the mathematics becomes too difficult to allow analytical solutions. (4) Use knowledge to analyse reactor systems: analyse a chemical or biological reaction or set of chemical or biological reactions and recommend the best reactor system to meet a given objective; compare alternative reactor designs in order to recommend the best option; analyse an open-ended project description to obtain specific objectives and tasks to be completed. (5) Combine knowledge from previous courses with knowledge learned in TFKI28: solve more advanced reactor problems using Matlab for numerically solving differential equations and Simpson's rule for numerical integration; work in a team to accomplish a given task; prepare and present written and oral reports of work involved in an extended design project; use Matlab to solve complicated reactor design problems. (6) Evaluate: oppose another group's presentation of their design project. |
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| Prerequisites: (valid for students admitted to programmes within which the course is offered) Calculus, Linear Algebra, General Chemistry. It is assumed that students already have a working knowledge of spreadsheets Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding. |
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| Supplementary courses: TFKI60 Process Design |
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| Organisation: Lectures, tutorials and laboratory work. The course begins in ht1 and is finished off in vt1. |
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| Course contents: Material and energy balances, reaction kinetics, ideal reactors, complex reactions, industrial reactor examples. Modelling with Matlab. Project laboratory involving literature study, research planning and report writing. |
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| Course literature: Fogler, H.S.: Elements of Chemical Reaction Engineering Course home page: http://www.ifm.liu.se/~lawrence/reactioneng/ |
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| Examination: | |||
| Written examination Project work presented at a seminar and in written report |
3 p 3 p |
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| The oral and written components of the project will be graded out of 100 (75% weighting for the written report and 25% for the oral presentation), as will the written exam. These two marks will be combined in the weighting 2/6, 3/6, respectively, to obtain the final grade for the course. The final 1/6 is allocated to a Matlab project. | |||
Course language is English. Department offering the course: IFM. Director of Studies: Stefan Svensson Examiner: David Lawrence Link to the course homepage at the department Course Syllabus in Swedish |
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