Objective
Beam/workpiece interaction variables during laser surface processing of Al and steel for the control of composition and microstructure will be investigated to allow the development of the science and technology underlying the formation of surface engineered passive alloys with outstanding resistance to corrosion in aqueous environments.
Beam/workpiece interaction variables during laser surface processing of aluminium and steel for the control of composition and microstructure have been investigated. This has allowed the development of the science and technology underlying the formation of surface engineered passive alloys with improved resistance to corrosion in aqueous environments and improved resistance to wear.
Novel processing techniques which have been developed include:
- mixed beam (excimer and carbon dioxide laser) processing of aluminium,
- laser surface alloying via the incorporation of metered mixtures of metal powders for control of alloying element composition; depth and uniformity of alloying in one step processing;
- bithermal powder incorporation,
- localised area alloying,
- increase in the area processed in a single pass.
Laser surface processed materials investigated and characterised include:
- Laser surface melted 2014, 2024, 7075 and 7175 aluminium alloys,
- 2014, 2024, 7075 and 7175 aluminium alloys laser surface alloyed with Cr, Mo or W,
- Novel amorphous surface layers on 2014 aluminium alloy,
- Laser surface alloyed steels with surface composition analogous to high alloy Fe-Cr-Ni-Mo alloys for specific resistance applications.
The group are also leading experts within Europe on the laser cladding of steels and other metallic surfaces with corrosion resistant and wear resistant coatings.
Property characterisation via electrochemical testing and a wide variety of electron microscopical techniques has led to the more complete understanding of the principles underlying the design of surfaces with enhanced properties in this way.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Topic(s)
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L69 3GH LIVERPOOL
United Kingdom