研究目的
To investigate the effects of laser beam angle, laser power, cutting speed, and feed rate on surface roughness and power consumption during laser-assisted machining (LAM) of Inconel 718, and to determine the optimal cutting parameters for minimizing these quality characteristics.
研究成果
The study successfully determined the optimal cutting conditions leading to minimum surface roughness and cutting power in laser-assisted turning of Inconel 718. Feed rate and laser beam angle were found to be the most significant factors affecting surface roughness, while all input parameters were significant in cutting power. The developed models showed high predictive accuracy, with coefficients of determination R2 of 93.97% and 93.84% for surface roughness and cutting power, respectively. Optimal parameters for minimizing both quality characteristics were identified.
研究不足
The study focuses on specific ranges of cutting speed, feed rate, laser power, and laser beam angle. The applicability of the findings may be limited to similar conditions and materials.
1：Experimental Design and Method Selection:
The experiments are planned according to the second order central composite rotatable design (CCRD) based L31 (43) on the principle of response surface methodology (RSM). Four parameters are varied at three different levels: cutting speed (S), feed rate (F), laser power (P), and approach angle of laser beam with tool (θ).
2：Sample Selection and Data Sources:
Precipitated age hardened Inconel 718 is turned with laser assistance for a depth of cut of 0.50 mm. A cutting length of 60 mm was machined during each experiment.
3：50 mm. A cutting length of 60 mm was machined during each experiment.
List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: A solid state continuous wave 2 kW Nd:YAG laser source, PVD carbide insert (CNMG120408-KCU25), tool holder (PCLNR 2020 K12), and Mahr surf test (Model GD120) for surface roughness measurement.
4：Experimental Procedures and Operational Workflow:
The laser was irradiated at the workpiece, and once the yield temperature of workpiece material is reached, the feed is given to the tool in the axial direction. Surface roughness Ra (μm) value was measured using the Mahr surf test.
5：Data Analysis Methods:
The relationship between the cutting parameters and objective functions of surface roughness and cutting power are modeled using RSM based quadratic regression equations. Analysis of variance (ANOVA) is used to determine the significance of the controllable factors on the output responses.
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