Prediction of Process Parameters for Electrodeposited Ni-PTFE Composite Coating: A Multi-Response Analysis Using ANFIS Model

IF 1.6 4区 材料科学 Q2 Materials Science
S. Jeyaraj, P. S. Sivasakthivel
{"title":"Prediction of Process Parameters for Electrodeposited Ni-PTFE Composite Coating: A Multi-Response Analysis Using ANFIS Model","authors":"S. Jeyaraj, P. S. Sivasakthivel","doi":"10.1007/s12666-024-03456-z","DOIUrl":null,"url":null,"abstract":"<p>Nickel-PolyTetraFluoroEthylene (Ni-PTFE) composite coatings were prepared from a watts-type nickel plating bath by varying process parameters in this study. The considered input process variables were current density, potential of hydrogen range, bath temperature, PTFE bath concentration, and stirrer speed. Experiments systematically analyzed their effects on outcomes. The responses measured in the experiments included the surface roughness, mass of deposit, and coating thickness of the coated samples. Scanning electron microscope and microstructure examinations analyzed Ni-PTFE deposition in specimens from mild steel plates. Additionally, an adaptive neural fuzzy inference system model was developed to predict the surface roughness, mass of deposit, and coating thickness of the coated samples. The model showed high accuracy in predicting parameters, closely matching experimental data.</p>","PeriodicalId":23224,"journal":{"name":"Transactions of The Indian Institute of Metals","volume":"39 1","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transactions of The Indian Institute of Metals","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1007/s12666-024-03456-z","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Materials Science","Score":null,"Total":0}
引用次数: 0

Abstract

Nickel-PolyTetraFluoroEthylene (Ni-PTFE) composite coatings were prepared from a watts-type nickel plating bath by varying process parameters in this study. The considered input process variables were current density, potential of hydrogen range, bath temperature, PTFE bath concentration, and stirrer speed. Experiments systematically analyzed their effects on outcomes. The responses measured in the experiments included the surface roughness, mass of deposit, and coating thickness of the coated samples. Scanning electron microscope and microstructure examinations analyzed Ni-PTFE deposition in specimens from mild steel plates. Additionally, an adaptive neural fuzzy inference system model was developed to predict the surface roughness, mass of deposit, and coating thickness of the coated samples. The model showed high accuracy in predicting parameters, closely matching experimental data.

Abstract Image

电沉积 Ni-PTFE 复合涂层的工艺参数预测:使用 ANFIS 模型的多重响应分析
本研究通过改变工艺参数,利用瓦特型镍电镀槽制备了镍-聚四氟乙烯(Ni-PTFE)复合镀层。考虑的输入工艺变量包括电流密度、氢气范围电位、镀槽温度、聚四氟乙烯镀槽浓度和搅拌器速度。实验系统分析了它们对结果的影响。实验中测量的反应包括涂层样品的表面粗糙度、沉积质量和涂层厚度。扫描电子显微镜和微观结构检查分析了低碳钢板试样中 Ni-PTFE 的沉积情况。此外,还开发了一个自适应神经模糊推理系统模型来预测涂层样品的表面粗糙度、沉积质量和涂层厚度。该模型在预测参数方面表现出很高的准确性,与实验数据非常吻合。
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
Transactions of The Indian Institute of Metals
Transactions of The Indian Institute of Metals Materials Science-Metals and Alloys
CiteScore
2.60
自引率
6.20%
发文量
3
期刊介绍: Transactions of the Indian Institute of Metals publishes original research articles and reviews on ferrous and non-ferrous process metallurgy, structural and functional materials development, physical, chemical and mechanical metallurgy, welding science and technology, metal forming, particulate technologies, surface engineering, characterization of materials, thermodynamics and kinetics, materials modelling and other allied branches of Metallurgy and Materials Engineering. Transactions of the Indian Institute of Metals also serves as a forum for rapid publication of recent advances in all the branches of Metallurgy and Materials Engineering. The technical content of the journal is scrutinized by the Editorial Board composed of experts from various disciplines of Metallurgy and Materials Engineering. Editorial Advisory Board provides valuable advice on technical matters related to the publication of Transactions.
×
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