Litcius/Paper detail

Modeling and Prediction of Water-Jet-Guided Laser Cutting Depth for Inconel 718 Material Using Response Surface Methodology

Chuang Zhao, Yugang Zhao, Dandan Zhao, Qian Liu, Jianbing Meng, Chen Cao, Zhilong Zheng, Zhihao Li, Hanlin Yu

2023Micromachines13 citationsDOIOpen Access PDF

Abstract

In this study, the water-jet-guided laser (WJGL) method was used to cut Inconel 718 alloy with high temperature resistance. The effect of critical parameters of the water-jet-guided laser machining method on the cutting depth was studied by a Taguchi orthogonal experiment. Furthermore, the mathematical prediction model of cutting depth was established by the response surface method (RSM). The validation experiments showed that the mathematical model had a high predictive ability for cutting depth. The optimal cutting depth was obtained by model prediction, and the error was 5.5% compared with the experimental results. Compared with the traditional dry laser cutting, the water conducting laser method reduced the thermal damage and improved the cutting quality. This study provides a reference for the precision machining of Inconel 718 with a water-jet-guided laser.

Topics & Concepts

InconelTaguchi methodsMachiningMaterials scienceLaserResponse surface methodologyLaser cuttingSurface roughnessJet (fluid)Orthogonal arrayThermalMechanical engineeringComposite materialOpticsMetallurgyAlloyMechanicsComputer scienceEngineeringMachine learningMeteorologyPhysicsLaser Material Processing TechniquesAdvanced Machining and Optimization TechniquesAdvanced machining processes and optimization