Process parameter optimization of WC/Inconel 625 metal matrix composites laser cladding based on the Taguchi approach and NSGA-II algorithm

This paper focuses on optimizing the laser cladding process parameters of WC/Inconel 625 composite on a low-carbon steel substrate. This process aims to improve industrial parts’ wear and corrosion properties in corrosive and high-temperature environments. Laser power, laser cladding speed, powder-f...

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Bibliographic Details
Published in:	Soft computing (Berlin, Germany) Vol. 28; no. 11-12; pp. 7271 - 7286
Main Authors:	Rafiei, Javad, Soheil Shamaee, Mahsa, Ghasemi, Ahmad Reza
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2024 Springer Nature B.V
Subjects:	Application of Soft Computing Artificial Intelligence Clad metals Composite materials Computational Intelligence Control Corrosion rate Corrosion resistance Corrosive wear Design of experiments Design optimization Design techniques Dilution Energy consumption Engineering Feeding Genetic algorithms Heat resistant steels Heuristic methods High temperature environments Investigations Laser beam cladding Lasers Low carbon steels Mathematical Logic and Foundations Mathematical models Mechatronics Metal matrix composites Multiple objective analysis Nickel base alloys Optimization Optimization algorithms Orthogonal arrays Process parameters Regression analysis Regression models Robotics Signal to noise ratio Sorting algorithms Substrates Superalloys Taguchi methods Titanium alloys Tungsten carbide Variables Variance analysis WC/Inconel composite NSGA-II Taguchi Whale optimization algorithm Laser cladding Optimization
ISSN:	1432-7643, 1433-7479
Online Access:	Get full text
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