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This concerns a Course |
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In the program of MSc MSE |
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EC (European Credits): 4 (1 EC concerns a work load of 28
hours) |
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Faculty of Mechanical, Maritime and Materials
Engineering |
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Department of Materials Science Engineering |
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Lecturer 1: S.J. Picken |
Tel.: 015 - 27 86946 / 81828 |
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Lecturer 2: E. Mendes |
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Catalog data:
Practicals Characterisation & Processing will be
based on an assigment. Students will have to work
out the details themselves guided by the supervisors and technicians
involved. It requires making of samples, testing, characterisation and
evaluation. |
Course year: |
MSc 2nd
year |
Course language: |
English |
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In case of
Dutch: Please contact the
lecturer about an English alternative, whenever needed. |
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Semester: |
1A |
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Hours per week: |
8 |
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Other hours: |
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Assessment: |
Written report |
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Assessment period: |
1A |
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(see academic
calendar) |
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Prerequisites (course codes): |
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Follow up (course codes): |
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Detailed description of topics:
The
practical will be a based on an assigment project.
The actual work will depend on the assignment (e.g. make and characterise a
graphite filled composite). Some of the techniques you might expect to use
are:
1) Characterisation: XRD, Opt. Microscopy,
DSC, TGA, HDT
2) Dynamics: DMA, DRS, Simulation MD/MC,
chain statistics
3) Applications & processing:
Rheology during cure of thermoset, Reaction heat determination, thermal conduction
measurement, blend/nano-composite manufacture & evaluation
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Course material: |
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References from literature: |
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Remarks assessment, entry requirements,
etc.:
The assesment is based on your laboratory skills,
understanding of the basics of the techniques, the methods and solutions you
use to tackle the problem, finally you should compose a written report and
present your results. |
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Learning goals:
To
obtain skills in chracterisation and processing
techniques that are commonly used in polymer
research. To gain experience in problem solving and improvisation. |
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Computer use:
analysis of experimental data, MS-Word &
Powerpoint, literature search: Web of Science, Google etc. |
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Laboratory project(s): |
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Design content:
this will depend on the topic, processing and
characterisation skills are useful for design |