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Open AccessArticle

Optimizing Processing Parameters for Multi-Track Laser Cladding Utilizing Multi-Response Grey Relational Analysis

1
School of Mechanical & Automotive Engineering, Fujian University of Technology, Fuzhou 350118, China
2
School of Engineering + Technology, Western Carolina University, Cullowhee, NC 28723, USA
3
Digital Fujian Industrial Manufacturing IoT Lab, Fuzhou 350118, China
*
Author to whom correspondence should be addressed.
Coatings 2019, 9(6), 356; https://doi.org/10.3390/coatings9060356
Received: 2 May 2019 / Revised: 21 May 2019 / Accepted: 29 May 2019 / Published: 31 May 2019
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. View Full-Text
Keywords: laser cladding; orthogonal experimental design; grey relational analysis; multi-track cladding laser cladding; orthogonal experimental design; grey relational analysis; multi-track cladding
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MDPI and ACS Style

Lian, G.; Zhang, H.; Zhang, Y.; Tanaka, M.L.; Chen, C.; Jiang, J. Optimizing Processing Parameters for Multi-Track Laser Cladding Utilizing Multi-Response Grey Relational Analysis. Coatings 2019, 9, 356.

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