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

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...

Full description

Bibliographic Details
Main Authors: Alam, Mohammad Azad, Ya, Hamdan H., Mohammad Azeem, Mohammad Yusuf, Soomro, Imtiaz Ali, Masood, Faisal, Shozib, Imtiaz Ahmed, Salit, M. Sapuan, Akhter, Javed
Format: Article
Published: MDPI 2022
Online Access:http://psasir.upm.edu.my/id/eprint/100391/

Internet

http://psasir.upm.edu.my/id/eprint/100391/

Similar Items