Author(s)

Ahmed Ghazi Jerniti, Abderazzak El Ouafi, Noureddine Barka

Computer Science and Engineering Department, University of Quebec, Rimouski, Canada.

Laser surface hardening becomes one of the most effective techniques used to enhance wear and fatigue resistance of mechanical parts. The characteristics of the hardened surface depend on the physicochemical properties of the material as well as the heating system parameters. To adequately exploit the benefits presented by the laser heating method, it is necessary to develop a comprehensive strategy to control the process parameters in order to produce desired hardened surface attributes without being forced to use the traditional and fastidious trial and error procedures. This study presents a comprehensive approach used to build a simplified model for predicting the hardness profile. A finite element method based prediction model for AISI 4340 steel is investigated. A circular shape with a Gaussian distribution is used for modeling the laser heat source. COMSOL MULTIPHYSICS software is used to solve the heat transfer equations, estimate the temperature distribution in the part and consequently predict the hardness profile. A commercial 3 kW Nd:Yag laser system is combined to a structured experimental design and confirmed statistical analysis tools for conducting the experimental calibration and validation of the model. The results reveal that the model can effectively lead to a consistent and accurate prediction of the hardness profile characteristics under variable hardening parameters and conditions. The results show great concordance between predicted and measured values for the dimensions of hardened and melted zones.

Heat Treatment, Laser Surface Hardening, AISI 4340, Nd:Yag Laser System, Finite Element Method, Hardness Profile Prediction

Jerniti, A. , Ouafi, A. and Barka, N. (2016) Single Track Laser Surface Hardening Model for AISI 4340 Steel Using the Finite Element Method. Modeling and Numerical Simulation of Material Science, 6, 17-27. doi: 10.4236/mnsms.2016.62003.