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Development of Effective Corrosion Testing Approaches for Performance Evaluation of Organic Coatings


Project Description

Sustainable Coatings by Rational Design (SusCoRD) is a multi-disciplinary project which aims to, for the first time, connect a detailed scientific understanding of the mechanisms of coatings failure with state-of-the-art-machine learning to deliver a framework for the optimisation of protective coatings and nanocomposite materials. The project is a collaboration between the Universities of Manchester, Sheffield, Liverpool and our industrial partner AkzoNobel.

The aim of the PhD is to develop and apply innovative and efficient corrosion testing methods that can generate rapidly corrosion and performance data to support the machine learning activities. The PhD activity will focus on designing and implementing corrosion testing approaches exploiting electrochemistry, imaging and other methods, such as reliable, standardized, and representative data can be obtained for a variety of coating systems and correlated to long term performance information. The data obtained will then be used to train machine learning algorithms aiming at optimizing new coatings formulations. One of the key challenges to be addressed is the acceleration in the laboratory of specific processes that are responsible for failure in field applications. To approach the challenge, information from modelling activities and from high-resolution imaging, both part of the SusCoRD project, will be exploited. Once suitable methods for corrosion testing are developed, the data produced and the methodologies developed will also be exploited to enhance fundamental understanding of long-term failure processes.

Informal applications can be made to Michele Curioni ( )

Funding Notes

Funded by AkzoNobel
UK / Rest of EU / International
Paid at UK- rate

Eligibility: Applicants should have or expect to achieve at least a 2.1 honours degree in Chemical Engineering, Materials Science, Physics, Chemistry or related disciplines.

A familiarity with electrochemistry, electrochemical testing and corrosion are required. Experience in programming or analogue circuit design is a bonus.

How good is research at The University of Manchester in Electrical and Electronic Engineering, Metallurgy and Materials?
Metallurgy and Materials

FTE Category A staff submitted: 44.00

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

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