the eighth annual university of leeds learning and teaching conference 1 computational software and...
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The Eighth Annual University of Leeds Learning and Teaching Conference
1
Computational software and the learning cycle
Malcolm Povey, Nick Parker and Mel Holmes
School of Food Science and Nutrition
7th January 2011
Context and challenge
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• Food science is multidisciplinary (biology, chemistry, physics, maths)
• Food science undergraduates have limited ability/interest in mathematics and physics
• Level of physics required is often a surprise to students and they often struggle to see the relevance of the theory
• The conventional approach to physics and maths based on progressive theory and highly simplified case studies is not ideal
• How do we engage and convey the principles effectively ?
Vehicle - Food 2045: Food Innovation and Design
Supported by a Academic Development Fund for Learning and Teaching 2008-2010
Learning outcomes
• To understand the physical principles underlying the analysis of food processing operations and their application to process design.
• To become proficient with an advanced modelling tool capable of supporting design and innovation for new and existing foods.
• To be able to gain a quantitative understanding of complex problems in food processing operations.
Teaching format•14 hours of lectures on the basics of heat processes•7 hours of problem classes•9 hours of computing classes (COMSOL Physics package)
Addressing the Learning Cycle
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1. Experience - Define real-world problem and develop intuitive theoretical model
2. Reflective observation - Discuss relationships between model and real situation and consider limitations
3. Abstract conceptualisation - Solve and interpret results, are they reasonable?
4. Active experimentation – Redefine model parameters, boundary conditions etc to improve results. Apply to new situations
COMSOL Multiphysics
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• Powerful Industry-recognised solver
• Predefined multiphysics-application templates solve many common problem types. Fluid flow, heat transfer, structural mechanics and
electromagnetic analyses.
http://www.comsol.com/products/multiphysics/
Comsol Modelling stages
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The typical modelling steps include:
1. MODEL (Definition of the geometry: Draw, Draw mode)
2. PHYSICS (Definition of the equations, parameters of the matter, initial and boundary conditions: Physics)
3. MESHING
4. SOLVING
5. RESULTS (Postprocessing)
Worked Example – the Battered ChipExperience and observation
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Appropriate Boundary Conditions also required
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Post-processing – Concepts and interpretation
Variety of plots available, e.g.
•Surface
•Probe
•Cross-section
‘Open’ project – Extensional thought
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Our suggestion: modify the battered chip - 50% students
50% produced new, innovative models
Student Feedback
13Very
challe
nging
A little
challe
nging
Too
easy
A little
eas
y
Neutra
l
Very sti
mulating
A little
stim
ulating
Very
borin
g
A little
bor
ing
Neutra
l
Challenging Stimulation
COMSOL
Lectures
Summary
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Pro’s Con’s
User-friendly and visually engaging Could be over-whelming to some students
Large user resources Software is a ‘black box’
Learning cycle quickly negotiated By-passes fundamental material
Develops and encourages higher-order thinking
Easy to be complacent and avoid critical thinking
Real life problem solving with limited maths/physics/computing background
Not suited to visually impaired
Encourages innovation & exploration and active learning
Positive student feedback
Attain a transportable and recognised skill (CV – employment)
Expands knowledge and application of mathematical models (further studies)