Details of Grant 

EPSRC Reference:	EP/G048827/1
Title:	Molecular modelling of flow-induced crystallisation in polymers
Principal Investigator:	Graham, Professor RS
Other Investigators:
Researcher Co-Investigators:
Project Partners:	Ineos
Department:	Sch of Mathematical Sciences
Organisation:	University of Nottingham
Scheme:	First Grant Scheme
Starts:	01 August 2009	Ends:	31 July 2012	Value (£):	218,958
EPSRC Research Topic Classifications:	Materials Processing
EPSRC Industrial Sector Classifications:	No relevance to Underpinning Sectors
Related Grants:
Panel History:	Panel Date Panel Name Outcome 12 Feb 2009 Materials Prioritisation Panel (Feb 2009) Announced
Summary on Grant Application Form
Products made of semi-crystalline plastics are found everywhere in our everyday lives. From food and drinks containers to high performance plastic components, semi-crystalline plastics comprise the largest group of commercially useful plastics. The crystallisation of plastic is strongly affected by its molecular shape. This is because plastics are made-up of long-chain molecules, or polymers. The connected nature of polymer molecules forces them to crystallise into a mixture of ordered crystalline regions, which are interspersed with regions where the chains are more randomly arranged. The proportion of amorphous and crystalline material, along with the arrangement and orientation of the crystals, is collectively known as the morphology. The crystal morphology strongly influences strength, toughness, permeability, surface texture, transparency and almost any other property of practical interest. It is known that morphology can be determined by the flow conditions that a plastic experiences as it crystallises. Typically, these flows occur during the process that shapes a plastic product. For example, flows occurring while injecting a plastic into a mould or blowing it into a film. Thus, by understanding how flow affects crystallisation it is possible, in principle, to enhance the final properties of a product by careful control of how it is processed. Unfortunately, a detailed understanding of polymer crystallisation at a molecular level, particularly under flow has been difficult to acquire. This is because flow-induced crystallisation in polymers depends on the subtle interplay of several complicating factors. Firstly, polymer crystallisation during flow is controlled by the shapes that flow forces the molecules to form, and precise theories for how polymers move under strong flow have, until recently, not been sufficiently accurate. Secondly, crystallisation is polymers is always incomplete; the connected nature of polymer molecules frustrates the materials efforts to reach the lowest energy state so equilibrium concepts cannot be applied. In fact the final state is controlled by the crystallisation kinetics. In this project we take a new approach to flow induced crystallisation to overcome these two problems. Recently derived molecular flow models have been shown to reliably predict the configuration of polymer molecules under flow, and we use these as the starting point of our model. To capture the crystallisation kinetics we employ an efficient kinetic Monte Carlo simulation technique to simulate the early stages of crystal formation. Influence over these early stages, experiments suggest, are the primary method by which flow controls crystallisation. Results from these simulations will improve our understanding of flow-induced crystallisation and will provide a template for us to derive more simple differential equation based models, which will be suitable for flow modelling of plastic processing.
Key Findings
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Project URL:	http://www.maths.nottingham.ac.uk/personal/rg/
Further Information:
Organisation Website:	http://www.nottingham.ac.uk