Prediction and optimization of dross formation in laser cutting of electrical steel sheet in different environments

Keyphrases

• Deep Neural Network 100%
• Electrical Steel Sheet 100%
• Laser Cutting 100%
• Dross Formation 100%
• Grey Wolf Optimizer 50%
• Alcohol 33%
• Artificial Intelligence 16%
• Response Surface Methodology 16%
• Optimal Combination 16%
• Laser Power 16%
• Pulse Frequency 16%
• Power Pulse 16%
• Random Forest Method 16%
• Mean Absolute Percentage Error 16%
• Validation Experiment 16%
• Cutting Speed 16%
• Optimal Process Parameters 16%
• Statistical Criteria 16%
• Process Combination 16%
• Tuning Process 16%
• Support Vector Regression Machine 16%
• Grey Wolf Optimization 16%
• Random Vector Functional Link Network 16%
• Functional Support 16%
• Cutting Environment 16%
• Stacked Autoencoder 16%
• Multi-objective Grey Wolf Optimizer 16%

Engineering

• Electrical Steel 100%
• Deep Neural Network 100%
• Network Model 33%
• Process Parameter 33%
• Combined Method 16%
• Laser Power 16%
• Pulse Frequency 16%
• Autoencoder 16%
• Random Forest 16%
• Optimal Combination 16%
• Cutting Speed 16%
• Response Surface Method 16%
• Testing Dataset 16%
• Artificial Intelligence 16%
• Support Vector Machine 16%

Material Science

• Laser Cutting 100%
• Steel Sheet 100%
• Electrical Steel 100%
• Surface (Surface Science) 50%