Abstract
Micro milling of super alloy materials such as nickel based alloys such as Inconel 718 is challenging due to the excellent of its mechanical properties. Therefore, new techniques have been suggested to enhance the machinability of nickel based alloys by pre-heating the workpiece’s surface to reduce its strength and ductility. The prediction of fluctuated temperature distribution generated by pulsed wave laser in laser assisted micro milling (LAMM) is crucial. The selection of processing parameter by minimize the effect on the processing characteristic is decisive to ensure the machining quality is high. Determining the effect of heat generated in underneath surface is important to make sure that the cutting tools are able to cut the material with maximum depth of cut and minimum defects in terms of tool wear and tool life. In this study the simulation was carried by using Ansys APDL. In order to confirm the actual and distribution irradiation of temperature from simulation, an experimental was done to validate the results. The experiment was conducted by using Nd:YAG laser with wavelength 1064 nm.
Highlights
Laser technology is applied in various applications such as cutting, welding, drilling, cladding and pre-heating process
Prediction of heat generation and distribution initiated by laser irradiation using finite element analysis (FEA) software has been widely reported by many researchers
The investigation shows that the A and K values have a significant effect on the characterization of melting pool and heat effected zone (HAZ) pattern
Summary
Laser technology is applied in various applications such as cutting, welding, drilling, cladding and pre-heating process. Prediction of heat generation and distribution initiated by laser irradiation using finite element analysis (FEA) software has been widely reported by many researchers. Saodari and Majumdar [1] used FEA to analyze the heating rate, heat affected zone and the shape and size of the molten pool using Gaussian laser beam. They analyzed the effect of mesh size to obtain accurate prediction result. Ren et al [3] was using FEA to analyses the effect of heat generated on residual stress during laser processing
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