Material Science with Positrons: From Doppler Spectroscopy to Failure Prediction

  • Matz Haaks
  • Patrik Eich
  • Judith Fingerhuth
  • Ingo Müller
Chapter
Part of the Advances in Solid State Physics book series (ASSP, volume 47)

Abstract

We describe an alternative approach for a reliable lifetime prediction employing the local concentration of lattice defects as a precursor for fatigue failure. We present positron annihilation spectroscopy (PAS) as a non-destructive technique sensitive for defect concentrations in the range relevant to plasticity in metals.

The Bonn Positron Microprobe (BPM), a currently unique device, provides a fine focused positron beam with a selectable beam diameter from 5 to 200 µm assisted by an inbuilt fully functional scanning electron microscope (SEM). Using the BPM, plasticity and fatigue can be measured with a lateral resolution from some microns up to the range of millimeters.

Employing laterally resolved PAS and the empirical supposition of a linear relation between the defect concentration and the logarithm of the number of fatigue cycles, the point of failure was successfully predicted on the common carbon steel AISI 1045. For a generalization of the precursor method, a minimal model of fatigue based on a cellular automaton was developed. First results from a one-dimensional implementation are presented.

Keywords

Cellular Automaton Defect Density Fatigue Cycle Fatigue Failure Failure Prediction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Matz Haaks
    • 1
  • Patrik Eich
    • 1
  • Judith Fingerhuth
    • 1
  • Ingo Müller
    • 1
  1. 1.Helmholtz Institut für Strahlen- und KernphysikUniversität BonnBonnGermany

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