Assessment of the fatigue crack closure phenomenon in damage-tolerant aluminium alloy by in-situ high-resolution synchrotron X-ray microtomography

Synchrotron X-ray microtomography has been utilized for the in-situ observation of steady-state plane-strain fatigue crack growth. A high-resolution experimental configuration and phase contrast imaging technique have enabled the reconstruction of crack images with an isotropic voxel with a 0.7 µm edge. The details of a crack are readily observed, together with evidence of the incidence and mechanical influence of closure. After preliminary investigations of the achievable accuracy and reproducibility, a variety of measurement methods are used to quantify crack-opening displacement (COD) and closure from the tomography data. Utilization of the physical displacements of microstructural features is proposed to obtain detailed COD data, and its feasibility is confirmed. Loss of fracture surface contact occurs gradually up to the maximum load. This is significantly different from tendencies reported where a single definable opening level is essentially assumed to exist. The closure behaviour is found to be attributable mainly to pronounced generation of mode III displacement which may be caused by local crack topology. Many small points of closure still remain near the crack tip, suggesting that the near-tip contact induces crack growth resistance. The effects of overloading are also discussed.

[1]  José Baruchel,et al.  X-Ray Tomography in Material Science , 2000 .

[2]  W. Elber The Significance of Fatigue Crack Closure , 1971 .

[3]  P. Cloetens,et al.  Characterisation by X-ray micro-tomography of cavity coalescence during superplastic deformation , 2000 .

[4]  Françoise Peyrin,et al.  Observation of microstructure and damage in materials by phase sensitive radiography and tomography , 1997 .

[5]  T. M. Breunig,et al.  New direct observations of crack closure processes in Al–Li 2090 T8E41 , 1999, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[6]  Stavros Syngellakis,et al.  Numerical modelling of combined roughness and plasticity induced crack closure effects in fatigue , 2000 .

[7]  M. Pompetzki,et al.  A Comparison of Measurement Methods and Numerical Procedures for the Experimental Characterization of Fatigue Crack Closure , 1988 .

[8]  S. Suresh,et al.  Oxide-Induced Crack Closure: An Explanation for Near-Threshold Corrosion Fatigue Crack Growth Behavior , 1981 .

[9]  T. Okada,et al.  Fatigue Crack Propagation in Bearing Metals Lining on Steel Plates in Lubricating Oil , 1971 .

[10]  K. Sassen The Polarization Lidar Technique for Cloud Research: A Review and Current Assessment , 1991 .

[11]  C. Pelizzari,et al.  Accuracy of object depiction and opacity transfer function optimization in CT volume-rendered images. , 1998, Journal of computer assisted tomography.

[12]  S. Suresh Fatigue of materials , 1991 .

[13]  T. Hirano,et al.  In situ x-ray CT under tensile loading using synchrotron radiation , 1995 .

[14]  Scott D. Roth,et al.  Ray casting for modeling solids , 1982, Comput. Graph. Image Process..

[15]  Peter Cloetens,et al.  Study of the interaction of a short fatigue crack with grain boundaries in a cast Al alloy using X-ray microtomography , 2003 .

[16]  Rosenfeld Damage Tolerance in Aircraft Structures , 1971 .

[17]  Peter Cloetens,et al.  Characterization of internal damage in a MMCp using X-ray synchrotron phase contrast microtomography , 1999 .

[18]  Gabor T. Herman,et al.  Image Reconstruction From Projections , 1975, Real Time Imaging.

[19]  Gabor T. Herman,et al.  Image reconstruction from projections : the fundamentals of computerized tomography , 1980 .

[20]  V. G. Kohn,et al.  Phase-contrast microtomography with coherent high-energy synchrotron x rays , 1996 .

[21]  K. Minakawa,et al.  On crack closure in the near-threshold region , 1981 .

[22]  Michel M. Ter-Pogossian Image Reconstruction from Projections, The Fundamentals of Computerized Tomography by G. T. Herman , 1984 .

[23]  J C Froment,et al.  Positron Emission Tomography Metabolic Data Corrected for Cortical Atrophy Using Magnetic Resonance Imaging , 1996, Alzheimer disease and associated disorders.