The surface properties of 40CrMnMo7 steel have been increased by ionic nitriding thermo chemical treatment followed by laser quenching. Nitriding treatment increases the wear resistance and decreases the wear coefficient, guaranteeing an uniform, though shallow, hardening depth. Combining nitriding with laser quenching has been shown to increase of the hardening depth, while retaining the advantages obtained by the first treatment. In this work the effect of laser quenching parameters on microstructure and mechanical properties of 40CrMnMo7 steel have been investigated and predictive models developed suitable for further optimization of the process. DoE has been exploited to reduce the number of experiments and for evaluating by statistic methods the optimized process parameters.
Laser Quenching of Ionic Nitrided Steel: Effect of Process Parameters on Microstructure and Optimization / Colombini, Elena; Sola, Ramona; Parigi, GIAN BATTISTA; Veronesi, Paolo; Poli, Giorgio. - In: METALLURGICAL AND MATERIALS TRANSACTIONS. A, PHYSICAL METALLURGY AND MATERIALS SCIENCE. - ISSN 1073-5623. - ELETTRONICO. - 45:(2014), pp. 5562-5573. [10.1007/s11661-014-2490-z]
Laser Quenching of Ionic Nitrided Steel: Effect of Process Parameters on Microstructure and Optimization
COLOMBINI, Elena;SOLA, Ramona;PARIGI, GIAN BATTISTA;VERONESI, Paolo;POLI, Giorgio
2014
Abstract
The surface properties of 40CrMnMo7 steel have been increased by ionic nitriding thermo chemical treatment followed by laser quenching. Nitriding treatment increases the wear resistance and decreases the wear coefficient, guaranteeing an uniform, though shallow, hardening depth. Combining nitriding with laser quenching has been shown to increase of the hardening depth, while retaining the advantages obtained by the first treatment. In this work the effect of laser quenching parameters on microstructure and mechanical properties of 40CrMnMo7 steel have been investigated and predictive models developed suitable for further optimization of the process. DoE has been exploited to reduce the number of experiments and for evaluating by statistic methods the optimized process parameters.File | Dimensione | Formato | |
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