Last modified: 31 May 2022 13:05
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.
| Study Type | Postgraduate | Level | 5 |
|---|---|---|---|
| Term | Second Term | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | Aberdeen | Sustained Study | No |
| Co-ordinators |
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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.
Information on contact teaching time is available from the course guide.
| Assessment Type | Summative | Weighting | 50 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | 40 | ||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Conceptual | Understand | Understand key chemical engineering concepts including heat and mass transfer. |
| Procedural | Apply | Understand reactor design. |
| Procedural | Apply | Gain experience of industry standard predictive modelling software for safe experiment design to meet regulatory requirements. |
| Procedural | Apply | Understand design of experiment and critical parameter analysis with a view to drug development. |
| Assessment Type | Summative | Weighting | 50 | |
|---|---|---|---|---|
| Assessment Weeks | 35 | Feedback Weeks | 36 | |
| Feedback |
Written. |
|||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Apply | Understand design of experiment and critical parameter analysis with a view to drug development. |
| Procedural | Apply | Gain experience of industry standard predictive modelling software for safe experiment design to meet regulatory requirements. |
There are no assessments for this course.
| Assessment Type | Summative | Weighting | 50 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | 40 | ||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Conceptual | Understand | Understand key chemical engineering concepts including heat and mass transfer. |
| Procedural | Apply | Understand reactor design. |
| Procedural | Apply | Gain experience of industry standard predictive modelling software for safe experiment design to meet regulatory requirements. |
| Procedural | Apply | Understand design of experiment and critical parameter analysis with a view to drug development. |
| Assessment Type | Summative | Weighting | 50 | |
|---|---|---|---|---|
| Assessment Weeks | 35 | Feedback Weeks | 36 | |
| Feedback |
Written. |
|||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Apply | Understand design of experiment and critical parameter analysis with a view to drug development. |
| Procedural | Apply | Gain experience of industry standard predictive modelling software for safe experiment design to meet regulatory requirements. |
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Apply | Understand reactor design. |
| Procedural | Apply | Understand design of experiment and critical parameter analysis with a view to drug development. |
| Conceptual | Understand | Understand key chemical engineering concepts including heat and mass transfer. |
| Procedural | Apply | Gain experience of industry standard predictive modelling software for safe experiment design to meet regulatory requirements. |
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