电化学加工304不锈钢:响应面法

Q3 Decision Sciences
Reza Rostami Heshmatabad, M. Shabgard
{"title":"电化学加工304不锈钢:响应面法","authors":"Reza Rostami Heshmatabad, M. Shabgard","doi":"10.22068/IJIEPR.31.3.397","DOIUrl":null,"url":null,"abstract":"In this study, Electrochemical Machining (ECM) of 304 stainless steel was applied by using Response Surface Methodology (RSM) approach for designing, analyzing, and mathematical modeling of ECM of 304 stainless steel. Electrolyte type, concentration, and current were the machining parameters. A mathematical model was provided for responses based on electrolyte types including Sodium Chloride (NaCl), Sodium Nitrate (NaNO3), and Potassium Chloride (KCl). The results showed that current had the highest effect on Surface Roughness (SR) and Material Removal Rates (MRR), compared to other selected factors, and it enhanced their values up to 0.465μm and 0.425gr/min, respectively. Electrolyte concentration had the highest effect on Over Cut (OC) and increased its values. The optimum condition characterized by 0.4006gr/min MRR, 0.75mm OC, and 0.465m SR was achieved with NaCl electrolyte, 1 molarity concentration, and 55 A current.","PeriodicalId":52223,"journal":{"name":"International Journal of Industrial Engineering and Production Research","volume":"21 1","pages":"397-407"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Machining of 304 stainless steel Using Electrochemical Machining (ECM) Process: Response Surface Methodology Approach\",\"authors\":\"Reza Rostami Heshmatabad, M. Shabgard\",\"doi\":\"10.22068/IJIEPR.31.3.397\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, Electrochemical Machining (ECM) of 304 stainless steel was applied by using Response Surface Methodology (RSM) approach for designing, analyzing, and mathematical modeling of ECM of 304 stainless steel. Electrolyte type, concentration, and current were the machining parameters. A mathematical model was provided for responses based on electrolyte types including Sodium Chloride (NaCl), Sodium Nitrate (NaNO3), and Potassium Chloride (KCl). The results showed that current had the highest effect on Surface Roughness (SR) and Material Removal Rates (MRR), compared to other selected factors, and it enhanced their values up to 0.465μm and 0.425gr/min, respectively. Electrolyte concentration had the highest effect on Over Cut (OC) and increased its values. The optimum condition characterized by 0.4006gr/min MRR, 0.75mm OC, and 0.465m SR was achieved with NaCl electrolyte, 1 molarity concentration, and 55 A current.\",\"PeriodicalId\":52223,\"journal\":{\"name\":\"International Journal of Industrial Engineering and Production Research\",\"volume\":\"21 1\",\"pages\":\"397-407\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Industrial Engineering and Production Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22068/IJIEPR.31.3.397\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Decision Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Industrial Engineering and Production Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22068/IJIEPR.31.3.397","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Decision Sciences","Score":null,"Total":0}
引用次数: 1

摘要

以304不锈钢为研究对象,采用响应面法(RSM)对304不锈钢电解加工进行设计、分析和数学建模。电解液类型、浓度、电流为加工参数。建立了基于氯化钠(NaCl)、硝酸钠(NaNO3)和氯化钾(KCl)电解质类型的响应数学模型。结果表明,与其他因素相比,电流对表面粗糙度(SR)和材料去除率(MRR)的影响最大,分别达到0.465μm和0.425gr/min。电解质浓度对过割(OC)的影响最大,并使OC值升高。在NaCl电解质、1摩尔浓度、55 A电流条件下,获得了MRR为0.4006gr/min、温度为0.75mm、SR为0.465m的最佳条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machining of 304 stainless steel Using Electrochemical Machining (ECM) Process: Response Surface Methodology Approach
In this study, Electrochemical Machining (ECM) of 304 stainless steel was applied by using Response Surface Methodology (RSM) approach for designing, analyzing, and mathematical modeling of ECM of 304 stainless steel. Electrolyte type, concentration, and current were the machining parameters. A mathematical model was provided for responses based on electrolyte types including Sodium Chloride (NaCl), Sodium Nitrate (NaNO3), and Potassium Chloride (KCl). The results showed that current had the highest effect on Surface Roughness (SR) and Material Removal Rates (MRR), compared to other selected factors, and it enhanced their values up to 0.465μm and 0.425gr/min, respectively. Electrolyte concentration had the highest effect on Over Cut (OC) and increased its values. The optimum condition characterized by 0.4006gr/min MRR, 0.75mm OC, and 0.465m SR was achieved with NaCl electrolyte, 1 molarity concentration, and 55 A current.
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 Industrial Engineering and Production Research
International Journal of Industrial Engineering and Production Research Engineering-Industrial and Manufacturing Engineering
CiteScore
1.60
自引率
0.00%
发文量
0
审稿时长
10 weeks
×
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