Enhancing wear resistance of squeeze cast hybrid aluminium matrix (LM24-SiCp-coconut shell ash) composite

Q3 Engineering
M. Arulraj, P. Palani, M. Sowrirajan
{"title":"Enhancing wear resistance of squeeze cast hybrid aluminium matrix (LM24-SiCp-coconut shell ash) composite","authors":"M. Arulraj, P. Palani, M. Sowrirajan","doi":"10.1504/IJCMSSE.2019.10022981","DOIUrl":null,"url":null,"abstract":"This experimental study focuses on processing of hybrid aluminium matrix (LM24-SiCp-coconut shell ash) composite for making castings through squeeze casting process. The primary objective was to analyse the influence of the process parameters namely reinforcement percentage, pouring temperature, squeeze pressure and mould temperature on wear resistance. Samples were cast for each experimental condition based on L9 (34) orthogonal array. Pin-on-disc apparatus was used to measure the wear rate. From analysis of variance (ANOVA), it was observed that reinforcement percentage and squeeze pressure were the process parameters making a noticeable improvement in wear resistance. A mathematical model representing the process was developed using nonlinear regression analysis. The optimum casting conditions were obtained through Taguchi method and genetic algorithm tool and the conditions were validated through the confirmation experiments. The results show that parametric conditions obtained through the optimisation tools exhibit about 20% improvement in wear resistance compared to the base alloy.","PeriodicalId":39426,"journal":{"name":"International Journal of Computational Materials Science and Surface Engineering","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computational Materials Science and Surface Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJCMSSE.2019.10022981","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 7

Abstract

This experimental study focuses on processing of hybrid aluminium matrix (LM24-SiCp-coconut shell ash) composite for making castings through squeeze casting process. The primary objective was to analyse the influence of the process parameters namely reinforcement percentage, pouring temperature, squeeze pressure and mould temperature on wear resistance. Samples were cast for each experimental condition based on L9 (34) orthogonal array. Pin-on-disc apparatus was used to measure the wear rate. From analysis of variance (ANOVA), it was observed that reinforcement percentage and squeeze pressure were the process parameters making a noticeable improvement in wear resistance. A mathematical model representing the process was developed using nonlinear regression analysis. The optimum casting conditions were obtained through Taguchi method and genetic algorithm tool and the conditions were validated through the confirmation experiments. The results show that parametric conditions obtained through the optimisation tools exhibit about 20% improvement in wear resistance compared to the base alloy.
提高挤压铸造复合铝基(lm24 - sicp -椰壳灰)复合材料的耐磨性
本试验研究采用挤压铸造工艺制备复合铝基(lm24 - sicp -椰壳灰)铸件。主要目的是分析工艺参数,即增强率,浇注温度,挤压压力和模具温度对耐磨性的影响。采用L9(34)正交阵列对各试验条件进行浇铸。采用针盘仪测量磨损率。从方差分析(ANOVA)中可以看出,增强率和挤压压力是显著提高耐磨性的工艺参数。利用非线性回归分析,建立了表征该过程的数学模型。通过田口法和遗传算法得到了最佳铸造工艺条件,并通过验证试验对其进行了验证。结果表明,通过优化工具获得的参数条件比基合金的耐磨性提高了约20%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
1.20
自引率
0.00%
发文量
3
期刊介绍: IJCMSSE is a refereed international journal that aims to provide a blend of theoretical and applied study of computational materials science and surface engineering. The scope of IJCMSSE original scientific papers that describe computer methods of modelling, simulation, and prediction for designing materials and structures at all length scales. The Editors-in-Chief of IJCMSSE encourage the submission of fundamental and interdisciplinary contributions on materials science and engineering, surface engineering and computational methods of modelling, simulation, and prediction. Papers published in IJCMSSE involve the solution of current problems, in which it is necessary to apply computational materials science and surface engineering methods for solving relevant engineering problems.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信