Logo image
Progressive failure monitoring and analysis in aluminium by in situ nondestructive evaluation
Journal article   Open access   Peer reviewed

Progressive failure monitoring and analysis in aluminium by in situ nondestructive evaluation

Brian J. Wisner, Philipp Potstada, Vignesh Perumal, Konstantinos P. Baxevanakis, Markus G. R. Sause and Antonios Kontsos
Fatigue & fracture of engineering materials & structures, v 42(9), pp 2133-2145
01 Sep 2019
url
https://figshare.com/articles/Progressive_failure_monitoring_and_analysis_in_aluminium_by_in_situ_nondestructive_evaluation/9757892View
Accepted (AM)CC BY-NC-ND V4.0 Open

Abstract

Engineering Engineering, Mechanical Materials Science Materials Science, Multidisciplinary Science & Technology Technology
Damage initiation and progression in precipitate hardened alloys are typically linked to the failure of second phase particles that result from the precipitation process. These particles have been shown to be stress concentrators and crack starters as a result of both particle debonding and fracture. In this investigation, a precipitate hardened aluminium alloy (Al 2024-T3) is loaded monotonically to investigate the role the particles have in the progressive failure process. The damage process was monitored continuously by combining the acoustic emission method either with in situ scanning electron microscopy or X-ray microcomputed tomography to obtain both surface and volume microstructural information. Particles were observed to fracture only in the elastic regime of the material response, while void growth at locations predominantly near particles were found to be associated with progressive failure in the plastic region of the macroscopic response. Experimental findings were validated by fracture simulations at the scale of particle-matrix interface.

Metrics

8 Record Views
14 citations in Scopus

Details

UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#11 Sustainable Cities and Communities

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Engineering, Mechanical
Materials Science, Multidisciplinary
Logo image