研究目的
To optimize the CO2 laser welding process parameters for joining automotive gears of 16MnCr5 Alloy Steel, focusing on achieving the required weld depth, weld width, and weld strength.
研究成果
The research successfully optimized the CO2 laser welding process parameters for automotive gears made of 16MnCr5 Alloy Steel. The developed models accurately predict the weld depth, weld width, and separation force, indicating their effectiveness in optimizing welding parameters. The study highlights the importance of laser power and welding speed in achieving desired weld quality and strength.
研究不足
The study focuses on the optimization of laser power and welding speed for a specific material (16MnCr5 Alloy Steel) and application (automotive gears). The findings may not be directly applicable to other materials or welding processes without further research.
1：Experimental Design and Method Selection:
Taguchi method of 'Design of Experiments (DOE)' and ANOVA were used for optimizing the welding process parameters. Variation transmission analysis was applied to determine the range of input variables that minimize output variability.
2：Sample Selection and Data Sources:
Automotive gears made of 16MnCr5 Alloy Steel were used. The selection was based on the material's common use in automotive gears due to its good core toughness and surface hardenability.
3：List of Experimental Equipment and Materials:
CO2 laser welding machine (CINETIC, France make Laser Welding Machine DC025 - ML44205), Profile Projector, Universal Testing Machine (UTM), and materials including 16MnCr5 Alloy Steel and shielding gas (Helium-Argon mixture).
4：Experimental Procedures and Operational Workflow:
The experiments were conducted using an L9 orthogonal array with two factors (laser power and welding speed) at three levels each. The weld depth, weld width, and separation force were measured as responses.
5：Data Analysis Methods:
The data was analyzed using MINITAB 17 and EXCEL 2007 for Taguchi method and ANOVA to determine the significance of input factors on responses.
独家科研数据包，助您复现前沿成果，加速创新突破
获取完整内容
