Details of Grant 

EPSRC Reference:	EP/H010947/1
Title:	Predicting scatter in the ductile to brittle transitional fracture in steels
Principal Investigator:	SHTERENLIKHT, Dr A
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department:	Mechanical Engineering
Organisation:	University of Bristol
Scheme:	First Grant - Revised 2009
Starts:	01 October 2009	Ends:	30 September 2011	Value (£):	98,140
EPSRC Research Topic Classifications:	Eng. Dynamics & Tribology Materials Processing
EPSRC Industrial Sector Classifications:	Manufacturing
Related Grants:
Panel History:	Panel Date Panel Name Outcome 04 Jun 2009 Engineering Med, Mech and Mat Panel Announced
Summary on Grant Application Form
Understanding the complex interaction of several competing temperature dependent physical processes resulting in the ductile to brittle transition, and of the inherent, temperature-dependent uncertainty in experimental data, is the major drive, and the major novelty, of this proposal. Inclusion of this complex interaction into a single fast and flexible engineering fracture prediction model is another novelty.The applicant has proposed a multi-scale model predicting fracture from microstructure and flow stress, i.e. not relying on experimental fracture data. In addition to predicting the full transition curve, the model was shown to predict temperature dependent scatter, fracture propagation path, crack arrest and fracture surface. The levels of scatter predicted with the model showed qualitative agreement with limited experimental Charpy data for a thermomechanically controlled rolled (TMCR) steel. This was achieved by taking the grain size distribution into account, and by introducing a temperature dependent grain mis-orientation threshold.In contrast to many complex microstructure deformation models, like e.g. crystal plasticity finite element model (CPFEM) the prototype multi-scale fracture model gives predictions of immediate relevance to industry. The proposed approach is a much more advanced that the current scatter predicting models, which are typically based on neural network or fuzzy logic, and therefore are completely divorced from the physics of fracture. Very few models predict the uncertainty of the transitional data.Despite considerable success, however, the prototype model is not yet suitable for quantitative fracture prediction. At present the crack propagation speed in the model is fixed to one CA cell per time increment. This restriction leads to slower fracture propagation, and ultimately to unrealistically high total energies at the lower shelf. However, the major obstacle remains lack of understanding of the temperature and strain rate sensitivity of the major micro-mechanical parameters in the transition area.This proposal would advance the engineering science because correct prediction of scatter is possible only if all the complexity of several interacting fracture processes at various temperatures and strain rates is understood and modelled. The fact that there is still no adequate physical explanation of high transitional scatter means that there are gaps in our understanding of fundamental physics of fracture. This project would fill these gaps on the way to developing a scatter prediction model.
Key Findings
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Organisation Website:	http://www.bris.ac.uk