应用声表面波技术寻找表面磨削 Hardox 500 的最佳修整模式

Dinh Van Thanh, Vu Duc Binh, Vu Duong, Lưu Anh Tùng, Tran Quoc Hung
{"title":"应用声表面波技术寻找表面磨削 Hardox 500 的最佳修整模式","authors":"Dinh Van Thanh, Vu Duc Binh, Vu Duong, Lưu Anh Tùng, Tran Quoc Hung","doi":"10.46300/9104.2024.18.3","DOIUrl":null,"url":null,"abstract":"This paper presents the findings from the multi-criteria decision-making (MCDM) approach study on selecting the best dressing mode (DM) for surface grinding (SG) Hardox 500. The study employed the Simple Additive Weighting (SAW) approach to solve the MCDM problem, and the Entropy method was utilized to estimate the weights of the criteria. Moreover, material removal rate (MRR) and surface roughness (RS) were selected as the two criteria for the investigation. Additionally, the five dressing parameters - fine dressing depth (Tf), rough dressing depth (Tr), rough dressing times (Nr), and non-feeding dressing (Nnon) - were investigated. 16 L16 (44x21) experimental runs were also designed and executed. For the first time, the MCDM for the SG process of Hardox 500 has been successfully solved using the SAW approach. From the results of the work, alternative No. 5 is the best option and the ideal input parameters (IP) of the dressing process were proposed.","PeriodicalId":39203,"journal":{"name":"International Journal of Mechanics","volume":" 5","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of SAW Technique for Finding the Best Dressing Mode for Surface Grinding Hardox 500\",\"authors\":\"Dinh Van Thanh, Vu Duc Binh, Vu Duong, Lưu Anh Tùng, Tran Quoc Hung\",\"doi\":\"10.46300/9104.2024.18.3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the findings from the multi-criteria decision-making (MCDM) approach study on selecting the best dressing mode (DM) for surface grinding (SG) Hardox 500. The study employed the Simple Additive Weighting (SAW) approach to solve the MCDM problem, and the Entropy method was utilized to estimate the weights of the criteria. Moreover, material removal rate (MRR) and surface roughness (RS) were selected as the two criteria for the investigation. Additionally, the five dressing parameters - fine dressing depth (Tf), rough dressing depth (Tr), rough dressing times (Nr), and non-feeding dressing (Nnon) - were investigated. 16 L16 (44x21) experimental runs were also designed and executed. For the first time, the MCDM for the SG process of Hardox 500 has been successfully solved using the SAW approach. From the results of the work, alternative No. 5 is the best option and the ideal input parameters (IP) of the dressing process were proposed.\",\"PeriodicalId\":39203,\"journal\":{\"name\":\"International Journal of Mechanics\",\"volume\":\" 5\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Mechanics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46300/9104.2024.18.3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Mechanics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46300/9104.2024.18.3","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: 0

摘要

本文介绍了为表面磨削 (SG) Hardox 500 选择最佳修整模式 (DM) 的多标准决策 (MCDM) 方法研究结果。该研究采用简单加权法(SAW)来解决 MCDM 问题,并利用熵法来估算标准的权重。此外,研究还选择了材料去除率(MRR)和表面粗糙度(RS)作为两个标准。此外,还研究了五个修整参数--精修深度 (Tf)、粗修深度 (Tr)、粗修次数 (Nr) 和不进料修整 (Nnon)。还设计并执行了 16 L16(44x21)实验运行。首次使用 SAW 方法成功解决了 Hardox 500 SG 过程的 MCDM 问题。从工作结果来看,备选方案 5 是最佳方案,并提出了选矿工艺的理想输入参数 (IP)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Application of SAW Technique for Finding the Best Dressing Mode for Surface Grinding Hardox 500
This paper presents the findings from the multi-criteria decision-making (MCDM) approach study on selecting the best dressing mode (DM) for surface grinding (SG) Hardox 500. The study employed the Simple Additive Weighting (SAW) approach to solve the MCDM problem, and the Entropy method was utilized to estimate the weights of the criteria. Moreover, material removal rate (MRR) and surface roughness (RS) were selected as the two criteria for the investigation. Additionally, the five dressing parameters - fine dressing depth (Tf), rough dressing depth (Tr), rough dressing times (Nr), and non-feeding dressing (Nnon) - were investigated. 16 L16 (44x21) experimental runs were also designed and executed. For the first time, the MCDM for the SG process of Hardox 500 has been successfully solved using the SAW approach. From the results of the work, alternative No. 5 is the best option and the ideal input parameters (IP) of the dressing process were proposed.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
International Journal of Mechanics
International Journal of Mechanics Engineering-Computational Mechanics
CiteScore
1.60
自引率
0.00%
发文量
17
期刊最新文献
Optimal Control of the Dynamics of Physical and Chemical Processes of Blending and Melting of Copper Concentrates Application of SAW Technique for Finding the Best Dressing Mode for Surface Grinding Hardox 500 Model for Calculating Stress Intensity Factors for an Inclined Crack at the Leading Edge of a Gas Turbine Engine Blade Under the Influence of Centrifugal Forces Demodulation and Vibration Signal Systems for Photonic Fiber Optic Pressure Sensor Demodulation and Vibration Signal Systems for Photonic Fiber Optic Pressure Sensor
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1