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CM5543: PROCESS DEVELOPMENT: CRITICAL PROCESS PARAMETERS AND REACTOR DESIGN (2022-2023)

Last modified: 31 May 2022 13:30


Course Overview

This course describes the process of transferring reactions developed on a small-scale in the research laboratory to very much larger scales in a commercial pilot plant and onto production. The students will gain hands-on experience of using industry standard software designed to facilitate this task.

Course Details

Study Type Postgraduate Level 5
Session Second Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Dr Rainer Ebel
  • Dr Rebecca Walker

What courses & programmes must have been taken before this course?

  • Any Postgraduate Programme

What courses cannot be taken with this course?

  • CM5943 Process Development: Critical Process Parameters and Reactor Design (Studied)

Are there a limited number of places available?

No

Course Description

The traditional method of transplanting a laboratory developed process to a commercial pilot plant will be discussed with emphasis on thermodynamic, calorimetry and safety issues.

Process evaluation will be covered using traditional basic multi factor Design of Experiment (DOE) methods. The one factor at a time (OFAT) strategy will be evaluated and its limitations discussed. More advanced matrix-based methods will be considered which allow for a more rapid transfer and greater efficiency in experiment design. The standard statistical methodologies used in DOE will be explained. The students will gain hands-on experience of this approach using industry standard software. Issues surrounding reactor design including thermal control, agitation, filtration and reaction mixture transport will be discussed.


Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


Details, including assessments, may be subject to change until 31 August 2023 for 1st half-session courses and 22 December 2023 for 2nd half-session courses.

Summative Assessments

Exam - Multiple Choice Questions

Assessment Type Summative Weighting 50
Assessment Weeks Feedback Weeks 40

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Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualUnderstandUnderstand key chemical engineering concepts including heat and mass transfer.
ProceduralApplyUnderstand reactor design.
ProceduralApplyGain experience of industry standard predictive modelling software for safe experiment design to meet regulatory requirements.
ProceduralApplyUnderstand design of experiment and critical parameter analysis with a view to drug development.

Ot

Assessment Type Summative Weighting 50
Assessment Weeks 35 Feedback Weeks 36

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Written.

Learning Outcomes
Knowledge LevelThinking SkillOutcome
ProceduralApplyUnderstand design of experiment and critical parameter analysis with a view to drug development.
ProceduralApplyGain experience of industry standard predictive modelling software for safe experiment design to meet regulatory requirements.

Formative Assessment

There are no assessments for this course.

Resit Assessments

Ot

Assessment Type Summative Weighting 50
Assessment Weeks 35 Feedback Weeks 36

Look up Week Numbers

Feedback

Written.

Learning Outcomes
Knowledge LevelThinking SkillOutcome
ProceduralApplyUnderstand design of experiment and critical parameter analysis with a view to drug development.
ProceduralApplyGain experience of industry standard predictive modelling software for safe experiment design to meet regulatory requirements.

Exam - Multiple Choice Questions

Assessment Type Summative Weighting 50
Assessment Weeks Feedback Weeks 40

Look up Week Numbers

Feedback
Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualUnderstandUnderstand key chemical engineering concepts including heat and mass transfer.
ProceduralApplyUnderstand design of experiment and critical parameter analysis with a view to drug development.
ProceduralApplyUnderstand reactor design.
ProceduralApplyGain experience of industry standard predictive modelling software for safe experiment design to meet regulatory requirements.

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
ConceptualUnderstandUnderstand key chemical engineering concepts including heat and mass transfer.
ProceduralApplyGain experience of industry standard predictive modelling software for safe experiment design to meet regulatory requirements.
ProceduralApplyUnderstand design of experiment and critical parameter analysis with a view to drug development.
ProceduralApplyUnderstand reactor design.

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