Volume 18, Issue 3 (2018)                   IQBQ 2018, 18(3): 179-188 | Back to browse issues page

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Moradi M, ARABI H. Experimental modeling of laser surface hardening process of AISI410 by Response Surface Methodology. IQBQ. 2018; 18 (3) :179-188
URL: http://journals.modares.ac.ir/article-15-4538-en.html
1- Malayer University
2- Department of Mechanical Engineering, Faculty of Engineering, Malayer University, Malayer, Iran
Abstract:   (1309 Views)
Laser surface hardening is one of the modern technology used to improve the surface of materials in order to modification of tribological properties. This paper investigate the ability of laser surface hardening of AISI 410 martensitic stainless steel using a continuous high power diode laser with a maximum power of 1600w. Laser power, scanning speed and focal plane position are variable parameters in this research. The effect of the process parameters on the hardness, depth and width of the hardened layer has been investigated. The results show that with increasing laser power and reducing the scanning speed, higher hardness and hardening depth are obtained. Results also reveal that width of hardened layer increases by increasing in focal plane position and reduction the laser power. Modeling of controllable variables (laser power, scanning speed and focal plane position) by Response Surface Methodology method to study the effect of process input parameters on how to change responses, and analysis of ANOVA tables, providing regression equation for output parameters, analysis The Surface Plots, Interaction Plots of the input parameters, were investigated. The results show that in RSM modeling method, the effect of laser power parameter on the results of maximum hardness, depth and width of hardness is more than the parameters of the focal plane position and scanning speed. Due to percentage of coverage of the parameters by the regression equations the RSM method is a suitable model for investigating the effects of the surface hardening process by diode laser.
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Article Type: Research Article | Subject: Production Methods
Received: 2017/12/30 | Accepted: 2018/01/28 | Published: 2019/02/23

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