WITHDRAWN: Strain rate effect on mechanical properties of 0.24% carbon steel using artificial neural network

Abstract

The effect of strain rates on 0.24 percent C carbon steel under tensile loading has been discussed in this study. To perform the test by adjusting the strain rates, an electronic tensiometer was used. Before and after research, the microstructural orientations and stiffness around the necking area were defined by an optical microscope and a micro-hardness tester. At room temperature, the mechanical properties of carbon steel are investigated, such as ultimate tensile strength, yield strength and hardness. The lowest ultimate tensile strength (429.14 MPa) and lowest yield strength from the data were observed to have a strain rate of 1 mm/min (292.8 MPa). Strain intensity of 5.75 mm/min. The maximum ultimate strength (525.54 MPa) and highest yield strength are given (376.35 MPa). If the strain rate increases, the ultimate strength, and yield strength will rise and vice versa, the results showed. It can be observed that the hardness value improved to a reasonable level of 3.5 mm/min from 1.5 mm/min and decreased to 5.75 mm/min as the strain rate increased. The ANN model demonstrated an impressive contrast between the coefficient of correlation (R = 0.997) and the error in the mean square (MSE = 1.24 10-5) and the experimental findings. This analysis shows that the ANN model is capable of predicting the impact on Carbon steel’s mechanical properties of different rates for the strain.