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Comparison of RSM and ANN Modeling Approaches in Predicting the Laser Phase Transformation Hardening Parameters on the Heat Input and Hardened-Bead Profile Quality of Unalloyed Titanium
Abstract: In the present work, laser transformation hardening (LTH) of unalloyed titanium, nearer to ASTM Grade 3 of chemical composition was investigated using CW 2kW, Nd: YAG laser. The laser process variables such as laser power, scanning speed, and focused position play a major role in deciding the laser hardened bead quality. Two methods, Response Surface Methodology (RSM) and Artificial Neural Network (ANN) were used to predict the heat input and …
Published in Journal of Materials & Metallurgical Engineering · Vol. 5, Issue 1, 2015 · pp. 36–59 Read article
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Experimental Investigation of Effect of Laser Process Parameters and Heat Input on Hardened Bead Geometry and Power Density of ASTM Grade 3 Pure Titanium using CW Laser Beam
Abstract: This research paper presents the experimental study of laser process parameters and heat input on hardened bead profile of ASTM Grade 3 commercially pure titanium sheet of 1.5 mm thickness using 2kW CW Nd: YAG laser. The selected two laser process parameters are: (1). Low laser process parameter (LLPP): Laser Power (LP): 600 Watts, Scanning speed (SS): 2000 mm/min, Focused position (FP): -10 mm with heat Input (HI): 180 J/cm …
Published in Journal of Materials & Metallurgical Engineering · Vol. 7, Issue 2, 2017 · pp. 42–52 Read article