Weibull Integrated AHP for The Selection of Natural Fiber Composites Material

IF 1.7 Q3 ENGINEERING, MECHANICAL
Nasr Bekraoui, Zakaria El Qoubaa, E. Essadiqi
{"title":"Weibull Integrated AHP for The Selection of Natural Fiber Composites Material","authors":"Nasr Bekraoui, Zakaria El Qoubaa, E. Essadiqi","doi":"10.59038/jjmie/170105","DOIUrl":null,"url":null,"abstract":"Natural Fibers are one of the important growing markets in the domain of bio-composites’ processing, due to an unprecedented increase in environmental and economic challenges. As a result, proper selection of the natural fibers that meet the requirements for environment-friendly bio-composites is an important phase as it can heavily enhance the achievement of low-cost design for better sustainable societies. In general, Multi-Criteria Decision Making (MCDM) is considered as a powerful tool that helps designers and decision-makers to accomplish their intended goals. The current research paper extends a material selection model that incorporates Weibull distribution in the Analytical Hierarchical Process (AHP). The strength of this model lies in its ability to account the dispersion in material properties objectively and consider a pre-defined quality level at the time of the material selection process. A case study is presented in this study to illustrate the potential and applicability of the proposed method. The results show that the ranking is dynamic and is highly sensitive to the scenarios of six sigma levels. From the analytical outcomes, the study found that NENDRAN BANANA is the most appropriate fiber that can be used in the hybridization process to design a passenger-vehicle center-lever parking-brake component with a reasonable defect per million opportunities.","PeriodicalId":45347,"journal":{"name":"Jordan Journal of Mechanical and Industrial Engineering","volume":" ","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jordan Journal of Mechanical and Industrial Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.59038/jjmie/170105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 1

Abstract

Natural Fibers are one of the important growing markets in the domain of bio-composites’ processing, due to an unprecedented increase in environmental and economic challenges. As a result, proper selection of the natural fibers that meet the requirements for environment-friendly bio-composites is an important phase as it can heavily enhance the achievement of low-cost design for better sustainable societies. In general, Multi-Criteria Decision Making (MCDM) is considered as a powerful tool that helps designers and decision-makers to accomplish their intended goals. The current research paper extends a material selection model that incorporates Weibull distribution in the Analytical Hierarchical Process (AHP). The strength of this model lies in its ability to account the dispersion in material properties objectively and consider a pre-defined quality level at the time of the material selection process. A case study is presented in this study to illustrate the potential and applicability of the proposed method. The results show that the ranking is dynamic and is highly sensitive to the scenarios of six sigma levels. From the analytical outcomes, the study found that NENDRAN BANANA is the most appropriate fiber that can be used in the hybridization process to design a passenger-vehicle center-lever parking-brake component with a reasonable defect per million opportunities.
威布尔综合AHP法在天然纤维复合材料选择中的应用
由于环境和经济挑战的空前增加,天然纤维是生物复合材料加工领域中重要的增长市场之一。因此,正确选择符合环境友好型生物复合材料要求的天然纤维是一个重要阶段,因为它可以大大提高低成本设计的成就,从而改善可持续社会。一般来说,多准则决策(MCDM)被认为是一种强大的工具,可以帮助设计师和决策者实现他们的预期目标。当前的研究论文扩展了一个在层次分析法(AHP)中结合威布尔分布的材料选择模型。该模型的优势在于它能够客观地考虑材料特性的分散性,并在材料选择过程中考虑预定义的质量水平。本研究通过一个案例来说明所提出方法的潜力和适用性。结果表明,该排名是动态的,对六西格玛水平的情景高度敏感。从分析结果来看,该研究发现,NENDRAN BANANA是最合适的纤维,可用于杂交过程,以设计每百万次机会中有合理缺陷的客车中央操纵杆驻车制动部件。
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
2.20
自引率
58.30%
发文量
2
期刊介绍: Jordan Journal of Mechanical and Industrial Engineering (JJMIE) is a refereed international journal to be of interest and use to all those concerned with research in various fields of, or closely related to, mechanical and industrial engineering disciplines. Jordan Journal of Mechanical and Industrial Engineering aims to provide a highly readable and valuable addition to the literature which will serve as an indispensable reference tool for years to come. The coverage of the journal includes all new theoretical and experimental findings in the fields of mechanical and industrial engineering or any closely related fields. The journal also encourages the submission of critical review articles covering advances in recent research of such fields as well as technical notes.
×
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