Mechanisms of life enhancement by laser shock peening surface treatment

Lead Research Organisation: University of Southampton
Department Name: Faculty of Engineering & the Environment

Abstract

The complex interplay of Laser Shock Peening (LSP) processing parameters on surface states (work hardening, sub-surface residual stress distributions) and the subsequent resistance to corrosion pitting and early stages of fatigue crack growth needs to be evaluated. Understanding pit development and subsequent crack initiation via data-rich mechanistic interpretations will then feed back into physics based LSP processing optimisation. The effect of subsequent LSP (using both solid and conventional overlays) onto pre-existing corrosion pitting and/or early fatigue crack growth will also be evaluated in aluminium alloys of interest to Airbus.

Publications

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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/N509747/1 01/10/2016 30/09/2021
1941805 Studentship EP/N509747/1 01/04/2017 31/03/2020 Alvaro Gonzalo Sanchez Araujo
 
Description Ablative and non ablative LSP treatment of AA7075-T651 at CSIR 
Organisation Council of Scientific and Industrial Research (CSIR)
Country South Africa 
Sector Academic/University 
PI Contribution Fatigue and corrosion testing of sample LSP treated at CSIR
Collaborator Contribution LSP treatment of our AA7075-t651 samples, ablative and non-ablative.
Impact Ongoing.
Start Year 2019
 
Description Mechanisms of life enhancement by LSP surface treatment 
Organisation Airbus Group
Department Airbus Operations
Country United Kingdom 
Sector Private 
PI Contribution Research of LSP treated AA7075-T651 samples
Collaborator Contribution Research money. Expert advice.
Impact Still ongoing
Start Year 2017
 
Description Mechanisms of life enhancement by LSP surface treatment on AA7XXX alloys 
Organisation Coventry University
Country United Kingdom 
Sector Academic/University 
PI Contribution Pending
Collaborator Contribution Residual stress measurements of LSP treated samples. Use of SEM-EBSD capabilities
Impact ongoing
Start Year 2017