Crack Sensitivity Control of Nickel-Based Laser Coating Based on Genetic Algorithm and Neural Network

Crack Sensitivity Control of Nickel-Based Laser Coating Based on Genetic Algorithm and Neural Network

This paper aimed to establish a nonlinear relationship between laser cladding process parameters and the crack density of a high-hardness, nickel-based laser cladding layer, and to control the cracking of the cladding layer via an intelligent algorithm. By using three main process parameters (overla...

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Bibliographic Details
Main Authors: Jiangtong Yu, Wenlei Sun, Haibo Huang, Wei Wang, Yangxiao Wang, Yawei Hu
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Coatings
Subjects:
laser cladding
crack control
orthogonal experiment
genetic algorithm
neural network
Online Access:https://www.mdpi.com/2079-6412/9/11/728

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