Abstract
Multi-track laser cladding is the primary technology used in industrial applications for surface reinforcement and remanufacturing of broken parts. In this study, the influence of processing parameters on multi-track laser cladding was investigated using a Taguchi orthogonal experimental design. A multi-response grey relational analysis (GRA) was employed to identify laser cladding processing parameters that simultaneously optimize the flatness ratio of the coating and the cladding efficiency. The optimal parameters setting found by GRA were validated experimentally. Results showed that the flatness ratio and cladding efficiency were closely correlated to the overlap rate and laser power, where the overlap rate shows the most significant impact on the flatness ratio and the laser power shows the most significant impact on cladding efficiency. Results from the validation experiment were within one percent (0.97% error) of the predicted value. This demonstrates the benefits of utilizing GRA in laser cladding process optimization. The methods presented in this paper can be used to identify ideal processing parameters for multi-response multi-track laser cladding processes or other industrial applications.
Highlights
Laser cladding is an advanced technology used for surface reinforcement and restoration
Nabhani et al studied the influence of laser power, scanning rate, and powder feeding rate on the clad height, clad width, penetration depth, wetting angle, and dilution in single-track cladding of Ti-6Al-4V powder alloy deposited on Ti-6Al-4V substrate
The optimal processing parameter combination was obtained by a linear regression analysis of each response [8]
Summary
Laser cladding is an advanced technology used for surface reinforcement and restoration. It creates a condensed coating on the substrate surface, forming a metallurgical bond that improves the substrate properties, such as wear resistance, corrosion resistance, and oxidation resistance [1,2,3,4,5,6,7]. Laser cladding is a complex process, and the quality of the cladding coating is primarily affected by several parameters including laser power, gas flow, and powder feeding rate [7]. A long-term goal for researchers is to develop a system to predict and control the coating quality obtained by laser cladding through the manipulation of different processing parameters.
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