研究目的
To investigate the influence of processing parameters on multi-track laser cladding and to identify laser cladding processing parameters that simultaneously optimize the flatness ratio of the coating and the cladding efficiency.
研究成果
The study demonstrated the effectiveness of using grey relational analysis to optimize processing parameters for multi-track laser cladding. The optimal parameters setting improved both the flatness ratio and cladding efficiency, with validation results closely matching predictions. The methods can be applied to other industrial applications requiring multi-response optimization.
研究不足
The study focused on a specific set of processing parameters and materials. The findings may not be directly applicable to other materials or parameter ranges without further investigation.
1：Experimental Design and Method Selection:
A Taguchi orthogonal experimental design was used to investigate the influence of processing parameters on multi-track laser cladding. A multi-response grey relational analysis (GRA) was employed to identify optimal processing parameters.
2：Sample Selection and Data Sources:
AISI/SAE 1045 steel was selected as the substrate. The cladding powder was high-speed steel powder (W6Mo5Cr4V2) with a particle size ranging from 48 to 106 μm.
3：List of Experimental Equipment and Materials:
The laser cladding system included a laser system (YLS-3000, IPG), laser cladding nozzle (FDH0273, Lasermech), industrial robot (M-710iC/50, FANUC), water cooling system (TFLW-4000WDR-01-3385, Sanhe Tongfei), powder feeding system (CR-PGF-D-2, Songxing), control system (PLC, Mitsubishi), and laser pulse control system (SX14-012PULSE, IPG).
4：Experimental Procedures and Operational Workflow:
The surface of the substrate was cleaned, and the cladding powder was dried before use. After laser cladding, the sample was prepared for evaluation by cutting, setting, grinding, and polishing. Geometric characteristics of the clad sample were measured with a KH-1300 3D microscope.
5：Data Analysis Methods:
Signal–to–noise ratio (S/N) conversion and grey relational analysis were used to analyze the experimental data.
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-
laser system
YLS-3000
IPG
Provides the laser energy for the cladding process.
立即获取同款设备 -
laser pulse control system
SX14-012PULSE
IPG
Controls the laser pulses.
暂无现货
预约到货通知
-
laser cladding nozzle
FDH0273
Lasermech
Focuses the laser beam for the cladding process.
暂无现货
预约到货通知
-
industrial robot
M-710iC/50
FANUC
Positions the laser cladding nozzle.
暂无现货
预约到货通知
-
water cooling system
TFLW-4000WDR-01-3385
Sanhe Tongfei
Cools the laser system.
暂无现货
预约到货通知
-
powder feeding system
CR-PGF-D-2
Songxing
Feeds the cladding powder to the laser cladding nozzle.
暂无现货
预约到货通知
-
control system
PLC
Mitsubishi
Controls the laser cladding system.
暂无现货
预约到货通知
-
3D microscope
KH-1300
Hirox Co Ltd.
Measures geometric characteristics of the clad sample.
暂无现货
预约到货通知
-
登录查看剩余6件设备及参数对照表
查看全部
