Process Parameter Optimization When Preparing Ti(C, N) Ceramic Coatings Using Laser Cladding Based on a Neural Network and Quantum-Behaved Particle Swarm Optimization Algorithm

Process Parameter Optimization When Preparing Ti(C, N) Ceramic Coatings Using Laser Cladding Based on a Neural Network and Quantum-Behaved Particle Swarm Optimization Algorithm

The formation process of surface coatings fabricated with laser cladding is very complicated and coating quality is closely related to laser cladding process parameters. Generally, the optimization and control of process parameters play key roles when preparing high-quality ceramic coating. In this...

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Bibliographic Details
Main Authors: Zixin Deng, Tao Chen, Haojun Wang, Shengchen Li, Defu Liu
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Applied Sciences
Subjects:
laser cladding
Taguchi method
back-propagation neural network
particle swarm optimization algorithm
prediction model
process optimization
Online Access:https://www.mdpi.com/2076-3417/10/18/6331

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https://www.mdpi.com/2076-3417/10/18/6331

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