Experimental Investigation and Optimization of Powder Metallurgy Processes Using Response Surface Methodology and Artificial Neural Networks, and Corrosion Behavior of Pure Magnesium

Key Points

• Optimization of powder metallurgy processes leads to improved corrosion behavior of pure magnesium.
• Key evidence shows that artificial neural networks enhanced predictive capability for corrosion metrics.
• Assessment based on response surface methodology revealed interaction effects across multiple variables.
• Highlights the need for further studies to validate findings in real-world applications.