EN-1563-GJS-400-15 estimation of surface roughness and wear values in milling of cast iron by using Taguchi and neural network algorithms

Key Points

• This study aims to estimate the surface roughness and wear values during the milling of cast iron using advanced algorithms.
• Utilized Taguchi method for experimental design and optimization.
• Applied neural network algorithms to analyze milling data and predict outcomes.
• Conducted trials in milling cast iron samples.
• Achieved significant reduction in surface roughness measurements, improving quality.
• Wear values decreased, enhancing tool life during milling.
• Neural network model outperformed traditional methods in accuracy of estimations.