Experimental Investigation of Dynamic Density of Aluminum Powder under High Speed Loading

The present paper deals with experimental and numerical investigation of the mechanical properties of a piece produced by a dynamic powder compaction process under high-rate impact loading. Experimental tests are performed on metal powders made of aluminum by a gas launcher system. To validate the results obtained from the presented mathematical functions, we compare the results of the neural network model and the experimental data. In examining the error of experimental data and prediction based on the squared mean of the errors and the coefficient of determination show that the results obtained from the mathematical functions provide mathematical models for the final properties of the segment under optimal impact loading.