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Process Parameters Optimization and Numerical Simulation of AlCoCrFeNi High-Entropy Alloy Coating via Laser Cladding
Bin Chen1,2, Yang Zhao2, Hui Yang2
1School of Materials Science and Engineering, Anhui University of Technology, Maanshan 243032, China.
Materials (Basel, Switzerland)
|September 14, 2024
Summary
This study optimizes laser cladding parameters for AlCoCrFeNi high-entropy alloy coatings. Gray correlation and NSGA-II analysis identified key parameters influencing coating quality for improved additive manufacturing applications.
Area of Science:
- Materials Science and Engineering
- Surface Engineering
- Additive Manufacturing
Background:
- Laser cladding of AlCoCrFeNi high-entropy alloys offers significant application potential.
- Cladding quality critically impacts the performance of these advanced alloy coatings.
- Understanding the complex interplay between process parameters and cladding quality is essential.
Purpose of the Study:
- To investigate the influence of laser cladding process parameters on coating quality.
- To establish a multi-objective optimization model for process parameters.
- To analyze the temperature field during laser cladding of AlCoCrFeNi alloy.
Main Methods:
- Orthogonal experimental design with laser power, scanning speed, and powder feed rate as variables.
- Gray correlation analysis to determine parameter influence on microhardness, dilution rate, and aspect ratio.
- NSGA-II algorithm for multi-objective optimization and ANSYS Workbench for numerical simulation of the temperature field.
Main Results:
- Powder feed rate significantly affects microhardness; laser power impacts dilution rate; scanning speed influences aspect ratio.
- A third-order polynomial nonlinear regression model showed high fitting accuracy.
- Numerical simulations revealed a 'comet tail' temperature field phenomenon with peak molten pool temperatures near 3000 °C.
Conclusions:
- Optimized laser cladding parameters ensure high-quality AlCoCrFeNi high-entropy alloy coatings.
- The NSGA-II algorithm effectively provides Pareto optimal solutions for parameter selection.
- Findings support the application of laser cladding for AlCoCrFeNi alloys in surface engineering and additive manufacturing.
