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Fluid Flow and Mixing in Bioprocesses (BENG0005)

Key information

Faculty
Faculty of Engineering Sciences
Teaching department
Biochemical Engineering
Credit value
15
Restrictions
N/A
Timetable

Alternative credit options

This module is offered in several versions which have different credit weightings (e.g. either 15 or 30 credits). Please see the links below for the alternative versions. To choose the right one for your programme of study, check your programme handbook or with your department.

  1. Fluid Flow and Mixing in Bioprocesses (BENG0083)

Description

To provide students with an introduction to the basic transport phenomena required to analyse and design processes handling labile biological materials. Focus is on the development of a physical understanding of the underlying momentum transport phenomena and upon the ability to apply transport analysis to practical bioprocess-oriented problems. The physical interpretation of the problem will be emphasised via the understanding of the problem’s mathematical solution.

Upon completion of the course, a student should be able to:

  • Mathematically analyse and interpret given experimental data analysis of a fluid in a viscometer and provide a physical explanation of the results obtained.
  • Design a generic pipe network based on specifications and constraints, verify the assumptions made and quantify the pump requirements.
  • Analyse and design a complete chromatography system based on fluid flow specifications.
  • Calculate the power input required for agitation in a stirred-tank fermenter under a range of operating conditions.
  • Define conditions for the successful scale-up or scale-down of a fermentation process for different biological systems.

Module deliveries for 2024/25 academic year

Intended teaching term: Term 1 ÌýÌýÌý Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
50% Exam
10% Other form of assessment
40% In-class activity
Mark scheme
Numeric Marks

Other information

MyAV·¶ of students on module in previous year
17
Module leader
Professor Martina Micheletti
Who to contact for more information
jana.small@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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