Experimental investigation of micro-ECM on MONEL 400 alloy using particles mixed electrolyte

IF 1 4区 工程技术 Q4 CHEMISTRY, APPLIED Chemical Industry & Chemical Engineering Quarterly Pub Date : 2023-01-01 DOI:10.2298/ciceq221115013g
L. Gokulanathan, A. Jegan
{"title":"Experimental investigation of micro-ECM on MONEL 400 alloy using particles mixed electrolyte","authors":"L. Gokulanathan, A. Jegan","doi":"10.2298/ciceq221115013g","DOIUrl":null,"url":null,"abstract":"The machining of extremely hard material in conventional machining requires high energy. Therefore stress-free, burr-free, and high-accuracy machining technique like Electro Chemical Micro Machining (ECMM) with extra features is recommended. To improve efficiency, various electrolytes such as Magnet Associated Electrolytes (MGAE), Metal Particle Mixed Electrolytes (MPME), and Carbon Pellets Mixed Electrolytes (CPME) are employed. The micro-holes were drilled over the work material MONEL 400 alloy. The parameters for the studies are electrolyte type, concentration (g/l), machining voltage (V), and duty cycle (%). The responses of ECMM are estimated through material removal rate (MRR) in ?m/sec and overcut in ?m. The results are optimized using Multi-objective optimization based on ratio analysis (MOORA) and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). Both techniques produce the same optimal parameter, 18th experiment CPME, 50% duty cycle, 11 V machining voltage, and 28 g/l electrolyte concentration. It is the best optimal parameter solution for machining. According to the ANOVA table of both, the type of electrolyte plays a 62.6 % and 60.37% contribution, respectively, to machining performance. Furthermore, the scanning electron microscope (SEM) image analysis perused on the micro holes to extend the effect of different electrolytes on machining surfaces.","PeriodicalId":9716,"journal":{"name":"Chemical Industry & Chemical Engineering Quarterly","volume":"1 1","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical Industry & Chemical Engineering Quarterly","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.2298/ciceq221115013g","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
引用次数: 0

Abstract

The machining of extremely hard material in conventional machining requires high energy. Therefore stress-free, burr-free, and high-accuracy machining technique like Electro Chemical Micro Machining (ECMM) with extra features is recommended. To improve efficiency, various electrolytes such as Magnet Associated Electrolytes (MGAE), Metal Particle Mixed Electrolytes (MPME), and Carbon Pellets Mixed Electrolytes (CPME) are employed. The micro-holes were drilled over the work material MONEL 400 alloy. The parameters for the studies are electrolyte type, concentration (g/l), machining voltage (V), and duty cycle (%). The responses of ECMM are estimated through material removal rate (MRR) in ?m/sec and overcut in ?m. The results are optimized using Multi-objective optimization based on ratio analysis (MOORA) and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). Both techniques produce the same optimal parameter, 18th experiment CPME, 50% duty cycle, 11 V machining voltage, and 28 g/l electrolyte concentration. It is the best optimal parameter solution for machining. According to the ANOVA table of both, the type of electrolyte plays a 62.6 % and 60.37% contribution, respectively, to machining performance. Furthermore, the scanning electron microscope (SEM) image analysis perused on the micro holes to extend the effect of different electrolytes on machining surfaces.
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
颗粒混合电解液对MONEL 400合金微电解加工的实验研究
在常规加工中,对极硬材料的加工需要消耗高能量。因此,推荐使用具有额外功能的无应力,无毛刺和高精度加工技术,如电化学微加工(ECMM)。为了提高效率,使用了各种电解质,如磁体相关电解质(MGAE),金属颗粒混合电解质(MPME)和碳颗粒混合电解质(CPME)。在工作材料MONEL 400合金上钻微孔。研究的参数为电解液类型、浓度(g/l)、加工电压(V)和占空比(%)。通过材料去除率(MRR) (m/s)和过切率(m/s)来估计ECMM的响应。采用基于比率分析(MOORA)和VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR)的多目标优化方法对结果进行优化。两种技术产生相同的最佳参数,第18次实验CPME, 50%占空比,11 V加工电压,28 g/l电解液浓度。这是加工中最优的参数解。根据两者的方差分析表,电解液类型对加工性能的贡献分别为62.6%和60.37%。此外,通过扫描电镜(SEM)对微孔进行图像分析,探讨了不同电解液对加工表面的影响。
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 去求助
来源期刊
Chemical Industry & Chemical Engineering Quarterly
Chemical Industry & Chemical Engineering Quarterly CHEMISTRY, APPLIED-ENGINEERING, CHEMICAL
CiteScore
2.10
自引率
0.00%
发文量
24
审稿时长
3.3 months
期刊介绍: The Journal invites contributions to the following two main areas: • Applied Chemistry dealing with the application of basic chemical sciences to industry • Chemical Engineering dealing with the chemical and biochemical conversion of raw materials into different products as well as the design and operation of plants and equipment. The Journal welcomes contributions focused on: Chemical and Biochemical Engineering [...] Process Systems Engineering[...] Environmental Chemical and Process Engineering[...] Materials Synthesis and Processing[...] Food and Bioproducts Processing[...] Process Technology[...]
期刊最新文献
Bioaccumulation and biosorption study of heavy metals removal by Cyanobacteria Nostoc sp. Biogas production and greenhouse gas mitigation using fish waste from Bragança/Brazil Hot-air drying and degradation kinetics of bioactive compounds of gilaburu (Viburnum opulus L.) fruit Catalytic performance of desilicated HZSM-12 for benzylation reaction of benzene with benzyl alcohol Internal model control of cumene process using analytical rules and evolutionary computation
×
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