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Ongoing projects

Read more about all the NEXT projects, or choose a one of the Archetypal Characterisation Challenge (ACC) to read more about the related projects.

1.1 High-temperature residual stresses and phase transformations in CVD coatings

Developing and applying LSI-based diffraction methods to study Chemical Vapour Coatings of tools - providing knowledge, and a streamlined workflow for future industrial and academic R&I

1.2 Stresses and damage in super alloys during thermal and mechanical cycling

LSI experimental techniques will characterize superalloys' thermomechanical behaviour and damage development. Such experimental information will enable the development of new modelling tools for predicting microstructures and, in particular, for grain boundary engineering. 
This is especially important when the microstructure variation coincides with a complex component geometry. 

1.3 Strain, stress and damage evolution in alloys during cyclic loading considering interplay of microstructure, surface hardening and overload

As input to modelling, which takes into account more realistic cyclic loads that components are subjected to, this project will undertake in-situ studies of stress and strain fields within materials - considering a wide variety of paraments such as various overloads, microstructures and surface treatments.

2.1 In-situ corrosion investigation of the metallic alloys

Developing methodologies for in-situ corrosion investigation - for the development of corrosion-resistant alloys

2.2 Microstructure and damage evolution in hydrogen environments

LSI experiments for studying hydrogen degeneration will be used to improve computational tools - for predicting the hydrogen resistance of new material designs

3.1 Solidification and phase transformation control for sustainable manufacturing

Assessing the dynamics of materials' behaviors during manufacturing processes, particularly focusing on melting and solidification in additive manufacturing (AM) and casting of recycled metals.

3.2a Surface integrity and functional performance of machined difficult-to-cut metals

Developing experimental and data analysis methodologies to gain an understanding of how materials are affected by interactions with the cutting tool.

3.2b Tool wear in sustainable machining of difficult-to-cut metals

Developing in-operando experimental methods for studying tools, especially optimising the analysis of complex datasets - for shaping a detailed understanding of the conditions the tool is exposed to and its relation to tool wear.  

3.3 XRS analysis of the cure process to increase the energy efficiency and reduced defects in the manufacturing of cellulose-based composites (X-Cure)

Study the influence of cellulose and residual water on the curing of epoxy, and improving models - for reducing manufacturing defects and thus increasing the sustainability of the composites used in power distribution systems.

4.1 High-throughput in-situ measurements and analyses supporting model development for accelerated sustainable materials innovations

Establishing protocols and methods for CALPHAD - demonstrating the value of large LSI datasets for modelling.

4.2 High-Throughput ex-situ measurements of phases, chemistry, defects, and stresses

Developing fixtures, methodology and protocols for high-throughput ex-situ measurements - to drastically improve the development speed in the metal industry R&D sector

4.3 From high throughput lab-scale to infrastructure-scale

Making a comparative analysis of lab-scale and large-scale measurements methods and devising guidelines for effective R&I