Neural network-based model for predicting particle size of AZ61 powder during high-energy mechanical milling

Many industrial and metallurgical processes require powders within a specific size range which may not be readily available from conventional processes. Thus, mechanical alloying (MA) has been exploited as an important attrition process for obtaining the desirable particle sizes of powders. However, MA is highly stochastic, depends on several parameters, and often relies on expensive and time-intensive experimentations. Therefore, developing a...