Investigation of the effect of age hardening on the mechanical properties of aluminium metal matrix composites reinforced with graphite particulate-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Investigation of the effect of age hardening on the mechanical properties of aluminium metal matrix composites reinforced with graphite particulate

Published:2023-02 Issue: Volume: Page:
ISSN:2214-7853
Container-title:Materials Today: Proceedings
language:en
Short-container-title:Materials Today: Proceedings

Author:

Ramesh M.,Kumar Deepak^ORCID,Kumar Ajay

Publisher

Elsevier BV

Subject

General Medicine

Reference29 articles.

1. “Aluminium Matrix Composites for Industrial Use”: Advances and Trends;Mavhungu;Procedia Manuf.,2017

2. Tension and Fatigue Behavior of Al-2124A/Sic-Particulate Metal Matrix Composites;John;Mater. Sci. Eng.,2020

3. Wear Characteristics of Hybrid Aluminium Matrix Composites Reinforced with Graphite and Silicon Carbide Particulates;Suresha;Compos. Sci. Technol.,2011

4. Investigation of Thermal and Mechanical Properties of Al7020/Sic/Graphite Hybrid Metal Matrix Composites;Reddy;Mater. Today,2020

5. Evaluation of Fatigue and Impact Behavior of Titanium Carbide Reinforced Metal Matrix Composites;Sivananth;Mater. Sci. Eng.,2014

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial Neural Network-Based Investigation of Zirconium Diboride Nanoparticles Reinforced in an Aluminium Alloy Matrix;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29

2. Evaluating the Wear Characteristics of Al 5024 Alloy with Varying SiC Nano Particle Percentages and Predictive Analysis using Artificial Neural Networks;2023 International Conference on Emerging Research in Computational Science (ICERCS);2023-12-07

3. Artificial Neural Network Based Wear and Tribological Analysis of Al 7010 Alloy Reinforced with Nanoparticles of SIC for Aerospace Application;Journal of Machine and Computing;2023-10-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3