The bottleneck in laser hardening principally occurs when large surfaces have to be treated because this process situation leads to multi-tracks laser scanning in order to treat all the component surface. Unfortunately, multi-tracks laser trajectories generate an unwanted tempering effect that depends on the overlapping of two close trajectories. To reduce the softening effects, a simulator capable to optimize the process parameters such as laser power and speed, number and types of trajectories, could sensibly increase the applicability of the process. In this paper an original model for the tempering is presented. By introducing a tempering time factor for the martensitic transformation, the hardness reduction can be predicted according to any laser process parameters, material and geometry. Experimental comparisons will be presented to prove the accuracy of the model.
A New Computationally Efficient Model for Tempering in Multi-Tracks Laser Hardening / A., Fortunato; Orazi, Leonardo; G., Tani. - ELETTRONICO. - 2:(2009), pp. 667-675. (Intervento presentato al convegno ASME International Manufacturing Science and Engineering Conference 2009, MSEC2009 tenutosi a West Lafayette, IN, usa nel October 4-7, 2009) [10.1115/MSEC2009-84093].
A New Computationally Efficient Model for Tempering in Multi-Tracks Laser Hardening.
ORAZI, Leonardo;
2009
Abstract
The bottleneck in laser hardening principally occurs when large surfaces have to be treated because this process situation leads to multi-tracks laser scanning in order to treat all the component surface. Unfortunately, multi-tracks laser trajectories generate an unwanted tempering effect that depends on the overlapping of two close trajectories. To reduce the softening effects, a simulator capable to optimize the process parameters such as laser power and speed, number and types of trajectories, could sensibly increase the applicability of the process. In this paper an original model for the tempering is presented. By introducing a tempering time factor for the martensitic transformation, the hardness reduction can be predicted according to any laser process parameters, material and geometry. Experimental comparisons will be presented to prove the accuracy of the model.
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