Optimization of femtosecond laser processing parameters of SiC using ANN-NSGA-II

Engineering

• Artificial Neural Network 100%
• Artificial Neural Network Model 40%
• Brittleness 20%
• Experimental Result 20%
• Femtosecond Laser 100%
• Genetic Algorithm 20%
• Groove Depth 20%
• Heat Affected Zone 20%
• Laser Average Power 20%
• Laser Processing 20%
• Laser Processing Parameter 100%
• Material Removal Rate 20%
• Microgrooves 20%
• Model Prediction 20%
• Non-Dominated Sorting Genetic Algorithm II 100%
• Pareto Optimal Solution 40%
• Predictive Ability 20%
• Process Parameter 80%
• Processing Parameter 20%
• Repetition Rate 20%
• Scanning Speed 20%