2 publications
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Published Subscription
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 TitaniumBy Duradundi Sawant Badkar, Krishnashankar Pandey, G. Buvanashekaran
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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Published Subscription
Prediction and Optimization of Laser Transformation Hardening Parameters of Unalloyed Titanium Using RSMBy Duradundi Sawant Badkar, Krishnashankar Pandey, Buvanashekaran G
Abstract: The optimization abilities in Design-expert software were used to optimize the laser phase transformation hardened bead profile parameters, i.e., to maximize hardened bead width (HBW) and to minimize, the heat input (HI), hardened depth (HD) and angle of entry of hardened bead profile (AEHB) in continuous wave (CW) Nd:YAG laser transformation hardening of unalloyed titanium sheet with 1.6 mm thickness. The mathematical models were developed from Response Surface Methodology (RSM) …
Published in Journal of Materials & Metallurgical Engineering · Vol. 5, Issue 1, 2015 · pp. 1–11 Read article →