Local Residual Stress Depth Distribution in the Inner Gearing of a Case Hardened Sliding Collar

Abstract:

Article Preview

With respect to residual stress analysis the inner gearing of an automotive sliding collar is a component with a challenging, complex geometry. The accessibility of the tooth root does not exist for conventional measuring approaches. However, the process steps like e.g. broaching and case hardening induce characteristic residual stress distributions, which must be known for the valuation of the mechanical integrity of the parts. For lab X-ray stress analysis approaches according to the sin2ψ-method [1] the ring like structure must be sectioned, which affects the process induced residual stress state. The tooth root is rather small, which further leads to shadowing effects during tilting of the sample. Standard mechanical approaches like incremental hole drilling can be excluded due to the narrow tooth root. Local neutron diffraction residual stress analysis in the tooth root by means of neutron through surface strain scanning at the STRESS-SPEC instrument at the research reactor FRM II, Garching (Germany) was successfully carried out for the inner gearing. A measuring and evaluation strategy is proposed, where special attention is paid to the compensation of the surface effect due to the incomplete immersion of the nominal gauge volume during through surface scanning and to the local variation of the D0-value as a consequence of the case hardening process.

Info:

Periodical:

Main Theme:

Edited by:

C. Sommitsch, M. Ionescu, B. Mishra, E. Kozeschnik and T. Chandra

Pages:

601-606

DOI:

10.4028/www.scientific.net/MSF.879.601

Citation:

J. Gibmeier et al., "Local Residual Stress Depth Distribution in the Inner Gearing of a Case Hardened Sliding Collar", Materials Science Forum, Vol. 879, pp. 601-606, 2017

Online since:

November 2016

Export:

Price:

$35.00

* - Corresponding Author

In order to see related information, you need to Login.

In order to see related information, you need to Login.