Sorsa, A., Santa-aho, S., Wartiainen, J. et al. J Nondestruct Eval (2018) 37: 10. https://doi.org/10.1007/s10921-018-0463-7
Effect of shot peening parameters to residual stress profiles and Barkhausen noise
|Author:||Sorsa, Aki1; Santa-aho, Suvi2; Wartiainen, Jukka3;|
1Control Engineering, University of Oulu, Oulu, Finland
2Laboratory of Materials Science, Tampere University of Technology, Tampere, Finland
3Stresstech Oy, Vaajakoski, Finland
|Online Access:||PDF Full Text (PDF, 1.1 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019091728578
|Publish Date:|| 2019-09-17
The production of gear components includes numerous manufacturing operations which are carried out to ensure proper surface characteristics of components to deal with wear and fatigue. Surface shot peening is one way to increase the compressive residual stresses on the surface and thus ensure better wear and fatigue resistance. An experimental plan for shot peening was conducted to produce samples with varying surface characteristics. Residual stress profile and Barkhausen noise measurements were carried out for the samples. The objective of the study was to evaluate the interactions between the shot peening parameters studied, the residual stress profiles and the Barkhausen noise measurements. A multivariable regression analysis was applied for the task. Some remarkable correlations were found between the shot peening parameters, residual stress profile and Barkhausen noise features. The most important finding was that when the shot peening intensity was high enough, over 0.5 mmA, it dominated the shot peening coverage density parameter and thus no correlations could be gained. On the other hand, if the intensity parameter was lower than the limit of 0.5 mmA, the correlation between residual stress and Barkhausen noise measurements was remarkable. This means that the surface Barkhausen noise measurements could be used for the evaluation of the stress gradient in the shot peening process.
Journal of nondestructive evaluation
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
216 Materials engineering
Support from Foundation of Emil Aaltonen, Stresstech group and Academy of Finland is gratefully acknowledged.
© Springer Science+Business Media, LLC, part of Springer Nature 2018. This is a post-peer-review, pre-copyedit version of an article published in Journal of Nondestructive Evaluation. The final authenticated version is available online at: https://doi.org/10.1007/s10921-018-0463-7.