Statistical modeling in the laser cladding process of Inconel 625 via linear regression and response surface method

Abstract

Inconel 625 is a corrosion-resistant alloy with excellent mechanical properties, which has many applications in the oil, gas, and aerospace industries. Considering that the statistical modeling of the cladding indicates the final quality of the laser cladding; therefore, in this work, the geometric characteristics of a single-track on a substrate similar to the coating material were investigated. The impact of main process parameters in direct laser deposition, including the powder feeding rate, laser power, and scanning speed, on the geometric features of single-pass, such as height, dilution, width, and wetting angle, was investigated by the response surface method and linear regression. According to the results, the single-pass width directly correlates with the power and inversely correlates with the scan rate. The height of a single pass has a direct relationship with the powder feeding rate and the power, while it inversely correlates with the scan rate. Dilution directly correlates with the scanning velocity and the powder feeding rate, but it has little correlation with the laser power. The wetting angle directly correlates with the scanning rate and the powder feeding rate, while having an inverse correlation with the power of the laser.