Design of a Femtosecond Laser Percussion Drilling Process for Ni-Based Superalloys Based on Machine Learning and the Genetic Algorithm

Femtosecond laser drilling is extensively used to create film-cooling holes in aero-engine turbine blade processing. Investigating and exploring the impact of laser processing parameters on achieving high-quality holes is crucial. The traditional trial-and-error approach, which relies on experiments...

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Bibliographic Details
Published in:Micromachines (Basel) 2023-11, Vol.14 (11), p.2110
Main Authors: Zhao, Zhixi, Yu, Yunhe, Sun, Ruijia, Zhao, Wanrong, Guo, Hao, Zhang, Zhen, Wang, Chenchong
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Cooling
Data mining
Datasets
Drilling and boring
Drilling machines (tools)
Efficiency
femtosecond laser
genetic algorithm
Genetic algorithms
Genetic research
Genetic vectors
Heat resistant alloys
Laser drilling
Laser processing
Lasers
Machine learning
Material removal rate (machining)
Methods
Neural networks
Nickel base alloys
Optimization
Optimization algorithms
Percussion
Percussion drilling
Power
Prediction models
process design
Process parameters
Regression models
Superalloys
Support vector machines
Turbine blades
Turbines
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Summary:Femtosecond laser drilling is extensively used to create film-cooling holes in aero-engine turbine blade processing. Investigating and exploring the impact of laser processing parameters on achieving high-quality holes is crucial. The traditional trial-and-error approach, which relies on experiments, is time-consuming and has limited optimization capabilities for drilling holes. To address this issue, this paper proposes a process design method using machine learning and a genetic algorithm. A dataset of percussion drilling using a femtosecond laser was primarily established to train the models. An optimal method for building a prediction model was determined by comparing and analyzing different machine learning algorithms. Subsequently, the Gaussian support vector regression model and genetic algorithm were combined to optimize the taper and material removal rate within and outside the original data ranges. Ultimately, comprehensive optimization of drilling quality and efficiency was achieved relative to the original data. The proposed framework in this study offers a highly efficient and cost-effective solution for optimizing the femtosecond laser percussion drilling process.
ISSN:2072-666X
2072-666X
DOI:10.3390/mi14112110