Fabrication and prediction of tensile strength of Al-Al2O3 nano composites

被引:7
作者
Harsha, N. [1 ]
Raju, K. Sita Rama [1 ]
Ramana, V. S. N. Venkata [2 ]
Reddy, Venu [3 ,4 ]
机构
[1] Sagi Ramakrishnam Raju Engn Coll, Dept Mech Engn, Bhimavaram 534204, Andhra Pradesh, India
[2] Andhra Univ, GITAM Univ, Dept Mech Engn, Visakhapatnam 530045, Andhra Pradesh, India
[3] SRKR Engn Coll, Nanotechnol Res Ctr, Bhimavaram 534204, Andhra Pradesh, India
[4] SRKR Engn Coll, Dept Chem, Bhimavaram 534204, Andhra Pradesh, India
关键词
Neural-network; Alumina; Aluminium; Sintering; Nano-MMC's; MECHANICAL-PROPERTIES; ALUMINUM;
D O I
10.1016/j.matpr.2019.07.543
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In the current work composites are intentionally fabricated to achieve tough ideal properties to materials. Metal matrix composites (MMCs) are fabricated by powder metallurgical technique with mechanically alloyed ingredients such as aluminum (Al) and nano-Alumina (Al2O3) powders. This study also elucidates the effect of altering nano reinforcement content in Al matrix; on mechanical properties of Al/Al2O3 composites. Mechanical properties such as tensile strength, percentage of elongation and hardness are considered. Micro structural analysis like XRD, SAD reveals uniformity in distribution of nano reinforcement in the Al matrix. Prediction of tensile strength and efficacies of various trained artificial neural network (ANN) models are discussed on account off number of hidden layers and neurons. (C) 2019 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the 2nd International Conference on Applied Sciences and Technology (ICAST-2019): Materials Science.
引用
收藏
页码:2197 / 2200
页数:4
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