The prediction of residual stresses in induction hardened steel parts is practically important since they affect component life and performance. The computation of residual stresses involves the integration of a set of strongly coupled partial non linear differential equations and a relevant number of input data. The object of this work is to perform a parameter sensitivity analysis, with respect to residual stress computation. The results show that the dilatometric data, as well as the spray cooling coefficient and the yielding stresses of martensitic and ferrite-pearlite phase are critical input parameters in induction hardening processes. Transformation plasticity also plays a significant role, though, more systematic experimental study is necessary in order to quantitatively assess its actual role in surface induction hardened parts.
(2003). Parametric numerical analysis of induction hardening problems . Retrieved from https://hdl.handle.net/10446/263371
Parametric numerical analysis of induction hardening problems
Lavella, Mario;
2003-01-01
Abstract
The prediction of residual stresses in induction hardened steel parts is practically important since they affect component life and performance. The computation of residual stresses involves the integration of a set of strongly coupled partial non linear differential equations and a relevant number of input data. The object of this work is to perform a parameter sensitivity analysis, with respect to residual stress computation. The results show that the dilatometric data, as well as the spray cooling coefficient and the yielding stresses of martensitic and ferrite-pearlite phase are critical input parameters in induction hardening processes. Transformation plasticity also plays a significant role, though, more systematic experimental study is necessary in order to quantitatively assess its actual role in surface induction hardened parts.File | Dimensione del file | Formato | |
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