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Sam Edwards – Continuing the Legacy for Industry-Facing Science’… or …
‘Why don’t you join us for a conversation on the physics of margerine?’ Tom McLeish, Soft Matter Physics and Chemistry, Durham University, UK
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Lesson 1: “Industry is Fortune’s Right Hand”
Its beginning?...HDPE vs. LDPE melt flow
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Lesson 2: “If you would understand anything, observe its beginning and its development”.
1974 1971 1960s
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‘But why should they flow at all?’
Star Polymer Puzzles (Kraus, Gruver, Graessley, de Gennes) 1950s!!
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Lesson 3: “Read, Mark, Learn” (and browse…
the scriptures)
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Lesson 4: Love Thy Neighbour(hood chemist)..
especially when they can do polyisoprene A. Hakiki and R. N. Young Branched polymers relax from outside in – e.g. H-polymer First, the arms relax by star-like breathing modes Then, the backbone relaxes by “reptation” – but with friction concentrated at the ends of the chain
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Lesson 5: ‘If the person you need is in New Jersey – get on the blower
J. Rheol., 42, 1, , (1998).
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Lesson 6: Think Big – and think Physics
Reaction Chemistry Molecular shape Melt Rheology “Processing”
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Linear rheology of arbitrarily branched polymers
Relaxation of a branched polymer Suggests an algorithm which monitors amount of polymer relaxation as a function of (logarithmic) time Requires a time-integration along chain-contour variables Chains communicate via “constraint release” Park and Larson 2005 z(t) Das, Read Kelmanson, TCBM, 2006
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Statistical modelling of molecular architectures
(1) Single-site metallocenes, CSTR Cat D UP DOWN Molecules are self-similar and directional! Allows: analytical calculations to calculate MWD, branching distribution, (e.g. D. Read, TCBM, Macromolecules 2001) Monte-Carlo generation of representative set of molecular architectures ( C. Das et al., J. Rheol. 50, 207 (2006).
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Industry gives back Can then make predictions for truly polydisperse polymers Set of Dow metallocene polyethylenes (W. De Groot) analysed by Wood-Adams and Dealy Known bu and Mw Two remaining adjustable parameters – matches entire dataset. Das et al., J. Rheol., 50, 207 (2006) Cat D UP DOWN
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Statistical modelling of molecular architectures (2)
LDPEs, tubular reactors We use “Tobita algorithm” (H. Tobita, J. Polym. Sci. B, 2001) Monte-carlo simulation of free-radical polymerisation;fundamental processes of: initiation chain propagation branch formation scission termination by combination Ri Rp=kp[R][m]
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Approximate non-linear rheology: mapping to multimode pom-pom Results
Non-linear rheology now predicted with no further fitting!
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Approximate non-linear rheology: mapping to multimode pom-pom
Tubular LDPE family: analysing how LDPE works Segments relaxing at short, medium and long times
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Scattering theoretical neutrons with Sam – and ICI
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Lesson 7: Mostly say ‘yes’ to industrial opportunity
20% for critical point
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Polyurethanes’ bicontinuous structure:
What happens to local strain at percolation? 40% hard phase 50% hard phase
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“Strain Amplification”
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Strain amplification threshold maps
100 101 102 103
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A renormalisation approximation
numerics theory
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Lesson 8: Work with people cleverer than you
Model Parameters from linear theory: A. Likhtman, TCBM (2002) log [s-1] log G‘, G‘‘ [Pa] REPTATE.com D. Read Ma=25k Mb=57k (deuterated) Synthesis: J. Allgaier, Jülich
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Turning neutrons towards Doi-Edwards theory
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H-polymer melt relaxation with neutrons
=2
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Detailed Chain Formulation (GLAMM model)
Graham, Likhtman, Milner, TCBM, J. Rheol, 47, (2003). s R(s) Reptation +CLF flow CR retraction
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SANS total flow mapping
13 11 12 8 9 10 5 6 3 4 2 1 T. Gough, J. Bent, R. Richards, N. Clarke, E. de Luca, P. Coates,
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Launch October 10th 2016
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