Experimental Investigation and Optimization of Powder Metallurgy Processes Using Response Surface Methodology and Artificial Neural Networks, and Corrosion Behavior of Pure Magnesium | Synapse
March 3, 2026
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.