Study on the Optimization of Surface Modification Processing of SiCp and Tribological Properties of AA6061-SiCp based Composites

H. Odiwo, Bello K. Adeyemi, Abdulwahab Malik, Adebisi Abdulmumin Adetayo, A. Umma, Dodo Rayyan Mamuda, M. Maleque, Suleiman Muhammad Uhuotu
{"title":"Study on the Optimization of Surface Modification Processing of SiCp and Tribological Properties of AA6061-SiCp based Composites","authors":"H. Odiwo, Bello K. Adeyemi, Abdulwahab Malik, Adebisi Abdulmumin Adetayo, A. Umma, Dodo Rayyan Mamuda, M. Maleque, Suleiman Muhammad Uhuotu","doi":"10.26776/ijemm.08.01.2023.01","DOIUrl":null,"url":null,"abstract":"The unique property combination of Al/SiCp based composites make them very attractive for applications in automotive and aerospace industries. The choice of composite materials for these applications is directly influenced by their inherent properties which are a function of the processing route employed. Like other processing parameters, surface modification treatment of SiCp can play a major role in determining the properties of Al/SiCp composites.  In this study, the effects of SiC reinforcement (wt%) fractions (SRF), surface oxidation temperature (SOT) and preheating temperature (PT) parameters on the wear and friction properties of stir-cast Al-SiCp based composite were investigated. Experimental data and models are generated and analyzed based on a three-factors-five-level central composite design (CCD) and analysis of variance (ANOVA). The empirical models developed for wear rate and coefficient of friction (COF) considering the pre-processing parameters adequately predicts the Al-SiCp properties with the silicon carbide reinforcement (wt%) fraction emerged as the most influencing factor. The goal of the optimization process is to minimize both wear rate and COF. For wear rate, SRF at 44.49 % contribution had the most influence on wear rate, while SOT and PT had 0.65 % and 1.03 % influence on wear rate respectively. For COF, SRF also showed highest influence of 35.48 % on COF, while SOT and PT had 0.047% and 2.66% influence on COF respectively. From the optimization analysis, the set of conditions that simultaneously optimizes both wear rate and COF are 10% SiC weight (SW), 1234°C surface oxidation temperature (SOT), and 376.2°C preheat temperature (PT). The resulting responses at this optimized condition are minimum wear rate of 0.11 mm3/m and COF of 0.11 with a confidence and desirability level of 1.","PeriodicalId":201987,"journal":{"name":"International Journal of Engineering Materials and Manufacture","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Engineering Materials and Manufacture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26776/ijemm.08.01.2023.01","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The unique property combination of Al/SiCp based composites make them very attractive for applications in automotive and aerospace industries. The choice of composite materials for these applications is directly influenced by their inherent properties which are a function of the processing route employed. Like other processing parameters, surface modification treatment of SiCp can play a major role in determining the properties of Al/SiCp composites.  In this study, the effects of SiC reinforcement (wt%) fractions (SRF), surface oxidation temperature (SOT) and preheating temperature (PT) parameters on the wear and friction properties of stir-cast Al-SiCp based composite were investigated. Experimental data and models are generated and analyzed based on a three-factors-five-level central composite design (CCD) and analysis of variance (ANOVA). The empirical models developed for wear rate and coefficient of friction (COF) considering the pre-processing parameters adequately predicts the Al-SiCp properties with the silicon carbide reinforcement (wt%) fraction emerged as the most influencing factor. The goal of the optimization process is to minimize both wear rate and COF. For wear rate, SRF at 44.49 % contribution had the most influence on wear rate, while SOT and PT had 0.65 % and 1.03 % influence on wear rate respectively. For COF, SRF also showed highest influence of 35.48 % on COF, while SOT and PT had 0.047% and 2.66% influence on COF respectively. From the optimization analysis, the set of conditions that simultaneously optimizes both wear rate and COF are 10% SiC weight (SW), 1234°C surface oxidation temperature (SOT), and 376.2°C preheat temperature (PT). The resulting responses at this optimized condition are minimum wear rate of 0.11 mm3/m and COF of 0.11 with a confidence and desirability level of 1.
SiCp表面改性工艺优化及AA6061-SiCp基复合材料摩擦学性能研究
Al/SiCp基复合材料的独特性能组合使其在汽车和航空航天工业中的应用非常有吸引力。这些应用中复合材料的选择直接受到其固有性能的影响,这些性能是所采用的加工路线的函数。与其他工艺参数一样,SiCp的表面改性处理对Al/SiCp复合材料的性能起着重要作用。研究了SiC增强剂(wt%)分数(SRF)、表面氧化温度(SOT)和预热温度(PT)参数对Al-SiCp基搅拌铸造复合材料磨损和摩擦性能的影响。实验数据和模型基于三因素五水平中心组合设计(CCD)和方差分析(ANOVA)生成和分析。考虑预处理参数的磨损率和摩擦系数(COF)经验模型能较好地预测Al-SiCp的性能,其中碳化硅增强率(wt%)是影响Al-SiCp性能的最大因素。优化过程的目标是最小化磨损率和COF。在磨损率方面,SRF对磨损率的影响最大,贡献率为44.49%,SOT和PT对磨损率的影响分别为0.65%和1.03%。对于COF, SRF对COF的影响也最大,为35.48%,而SOT和PT对COF的影响分别为0.047%和2.66%。从优化分析来看,同时优化磨损率和COF的条件设置为10% SiC重量(SW), 1234℃表面氧化温度(SOT)和376.2℃预热温度(PT)。在此优化条件下,得到的响应是最小磨损率为0.11 mm3/m, COF为0.11,置信度和期望水平为1。
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
自引率
0.00%
发文量
0
×
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:604180095
Book学术官方微信