Artificial neural network modeling to predict the effect of milling time and tic content on the crystallite size and lattice strain of Al7075-TiC composites fabricated by powder metallurgy
In the study, Al7075-TiC composites were synthesized by using a novel dual step blending process followed by cold pressing and sintering. The effect of ball milling time on the microstructure of the synthesized composite powder was characterized using X-ray diffraction measurements (XRD), scanning e...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Published: |
MDPI
2022
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