Parametric Investigation of Photochemical Machining of SS- 430 for Manufacturing of Micromesh

D. Agrawal, D. Kamble, N. Ambhore
{"title":"Parametric Investigation of Photochemical Machining of SS- 430 for Manufacturing of Micromesh","authors":"D. Agrawal, D. Kamble, N. Ambhore","doi":"10.4028/www.scientific.net/AEF.43.1","DOIUrl":null,"url":null,"abstract":"Photochemical machining (PCM) is an emerging method for machining of very thin and difficult-to-cut material with complex geometrical profile. PCM is one of recommended method for machining of aerospace components, biomedical appliances, electronics part and decorative items. High corrosion resistance, better life, good appearance and strength recommend SS-430 as suitable material for various applications. In the current investigation, the parametric investigations of process parameters in photochemical machining for concentration and temperature of etchant, time of etching is done through ANOVA analysis. Grey Relational Analysis is performed to estimate the optimum machining parameters during PCM of SS-430. Formulation of mathematical model is done for prediction of results. Taguchi (L27) experimental array is used for Design of Experiments (DoE). The significance process parameters are estimated to govern the process with F-Values. Confirmatory test is conducted to observe the improvement in the responses. ANN predictive model is built up for investigation of error between predictive and experimental values. The obtained optimum set is used for manufacturing of micromesh typically used in smoke detector to safeguard human life.","PeriodicalId":7184,"journal":{"name":"Advanced Engineering Forum","volume":"87 1","pages":"1 - 16"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Engineering Forum","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4028/www.scientific.net/AEF.43.1","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

Photochemical machining (PCM) is an emerging method for machining of very thin and difficult-to-cut material with complex geometrical profile. PCM is one of recommended method for machining of aerospace components, biomedical appliances, electronics part and decorative items. High corrosion resistance, better life, good appearance and strength recommend SS-430 as suitable material for various applications. In the current investigation, the parametric investigations of process parameters in photochemical machining for concentration and temperature of etchant, time of etching is done through ANOVA analysis. Grey Relational Analysis is performed to estimate the optimum machining parameters during PCM of SS-430. Formulation of mathematical model is done for prediction of results. Taguchi (L27) experimental array is used for Design of Experiments (DoE). The significance process parameters are estimated to govern the process with F-Values. Confirmatory test is conducted to observe the improvement in the responses. ANN predictive model is built up for investigation of error between predictive and experimental values. The obtained optimum set is used for manufacturing of micromesh typically used in smoke detector to safeguard human life.
SS- 430微孔光化学加工参数研究
光化学加工(PCM)是一种新兴的加工具有复杂几何形状的极薄、难加工材料的方法。PCM是航空航天零件、生物医学器械、电子零件和装饰用品加工的推荐方法之一。高耐腐蚀性,更长的寿命,良好的外观和强度推荐SS-430作为适用于各种应用的材料。在本研究中,通过方差分析对光化学加工中蚀刻剂浓度、温度、蚀刻时间等工艺参数进行了参数化研究。采用灰色关联分析方法估计了SS-430型零件在PCM过程中的最佳加工参数。建立了预测结果的数学模型。田口(L27)实验阵列用于实验设计。对显著性过程参数进行估计,用f值来控制过程。进行验证性测试以观察反应的改善情况。建立了人工神经网络预测模型,研究了预测值与实验值之间的误差。所获得的最优组合用于制造烟雾探测器中常用的微孔片,以保障人类的生命安全。
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:481959085
Book学术官方微信