优化 (Optimization) of inconel 625 laser cladding on X65 steel via response surface methodology.

Optimization of inconel 625 laser cladding on X65 steel via response surface methodology.

To meet the extreme corrosion resistance requirements of deep-sea API 5 L X65 carbon steel pipelines, this study utilizes the Box-Behnken response surface methodology to optimize the laser cladding of Inconel 625. Unlike previous studies focused on single-performance metrics, this research provides a novel coordinated regulation of multi-factor interactions to control interface martensite thickness. By establishing a quadratic regression model (R-squared = 0.9484), we systematically explored the effects of laser power, scanning speed, and powder feeding rate. Results indicate the powder feeding rate most significantly impacts cladding thickness (P < 0.0001), while its interaction with scanning speed (P = 0.0422) is critical for geometric regulation. The optimized parameters-1910 W laser power, 1365 mm/min scanning speed, and 0.47 r/min powder feeding rate-yielded an ideal 1 mm cladding thickness. This precise control window produces refined dendrites and a stable 50-60 μm martensite layer, offering highly reliable process parameters for pipeline remanufacturing.