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: | Alam, M.A., Ya, H.H., Azeem, M., Yusuf, M., Soomro, I.A., Masood, F., Shozib, I.A., Sapuan, S.M., Akhter, J. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.32371 / |
| Published: |
MDPI
2022
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126618813&doi=10.3390%2fcryst12030372&partnerID=40&md5=c0adc3e5efd93f04467e93fb54c28d65 http://eprints.utp.edu.my/32371/ |
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