基于响应面分析法的激光熔覆仿真实验教学设计与研究OA

To address issues such as cracks,porosity,and deformation that are prone to occur in cladding layers,this article uses G-X5CrNi134 martensitic stainless steel as the substrate and Stellite 6 cobalt-based alloy as the laser cladding powder.A regression model was established based on previous experimental data using software such as Design-Expert 13.Response surface analysis was employed to analyze the resulting mathematical model,and the optimal laser cladding process parameters were determined as follows:laser power of 2 000 W,powder feeding rate of 7.34 g/min,and scanning speed of 350 mm/min.Laser cladding experiments confirmed that the Stellite 6 cobalt-based coating prepared under the optimal parameters is tightly bonded to the substrate,is free of defects such as porosity and cracks,and has a moderate aspect ratio.This experiment proposes an optimized strategy for laser cladding of cobalt-based coatings,integrating parameter optimization modeling and virtual simulation.It combines the application of diverse data analysis tools with an in-depth understanding of experimental processes,and offers strong cross-platform scalability and adaptability for engineering education.This approach is well-suited for research-oriented materials design experiments in undergraduate teaching,effectively fostering students'innovative thinking and comprehensive practical skills.