In Situ Spray Bead Acquisition and Analysis for Coating Thickness Predictions

IF 3.3 3区 材料科学 Q2 MATERIALS SCIENCE, COATINGS & FILMS Journal of Thermal Spray Technology Pub Date : 2025-02-11 DOI:10.1007/s11666-025-01953-1
Uroš Hudomalj, Ivo Aschwanden, Lukas Weiss, Majid Nabavi, Konrad Wegener
{"title":"In Situ Spray Bead Acquisition and Analysis for Coating Thickness Predictions","authors":"Uroš Hudomalj,&nbsp;Ivo Aschwanden,&nbsp;Lukas Weiss,&nbsp;Majid Nabavi,&nbsp;Konrad Wegener","doi":"10.1007/s11666-025-01953-1","DOIUrl":null,"url":null,"abstract":"<div><p>Coating thickness is considered to be one of the most important characteristics of thermal spray coatings. Therefore, it has long been the goal to be able to predict the coating thickness that ensues when coating an arbitrary part. A commonly applied approach is to determine the coating deposit based on a series of spray spot tests and use that for modeling the coating. Another option is to conduct spray bead tests, which better reflect the conditions during the coating. This work suggests a novel approach for in situ acquisition of the spray beads and their analysis. The acquisition is based on a 3D camera to scan the sample before and after depositing of a spray bead. The approach allows for their streamlined evaluation, enabling better understanding of spray bead formation and their modeling. The suggested analysis of spray beads includes uncertainty evaluation. This enables estimation of model prediction uncertainties which has been omitted in the previous works on the topic. The analysis shows that a relative expanded uncertainty of 10% (at 95% level of confidence) can be expected for the coating thickness prediction for the simplest scenario of coating a flat sample sprayed perpendicularly at a constant spray distance and spray speed.</p></div>","PeriodicalId":679,"journal":{"name":"Journal of Thermal Spray Technology","volume":"34 2-3","pages":"893 - 901"},"PeriodicalIF":3.3000,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11666-025-01953-1.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Thermal Spray Technology","FirstCategoryId":"88","ListUrlMain":"https://link.springer.com/article/10.1007/s11666-025-01953-1","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, COATINGS & FILMS","Score":null,"Total":0}
引用次数: 0

Abstract

Coating thickness is considered to be one of the most important characteristics of thermal spray coatings. Therefore, it has long been the goal to be able to predict the coating thickness that ensues when coating an arbitrary part. A commonly applied approach is to determine the coating deposit based on a series of spray spot tests and use that for modeling the coating. Another option is to conduct spray bead tests, which better reflect the conditions during the coating. This work suggests a novel approach for in situ acquisition of the spray beads and their analysis. The acquisition is based on a 3D camera to scan the sample before and after depositing of a spray bead. The approach allows for their streamlined evaluation, enabling better understanding of spray bead formation and their modeling. The suggested analysis of spray beads includes uncertainty evaluation. This enables estimation of model prediction uncertainties which has been omitted in the previous works on the topic. The analysis shows that a relative expanded uncertainty of 10% (at 95% level of confidence) can be expected for the coating thickness prediction for the simplest scenario of coating a flat sample sprayed perpendicularly at a constant spray distance and spray speed.

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
涂层厚度预测的原位喷雾珠采集与分析
涂层厚度被认为是热喷涂涂层最重要的特性之一。因此,能够预测涂覆任意零件时所产生的涂层厚度一直是人们的目标。一种常用的方法是根据一系列喷涂点测试来确定涂层沉积,并使用该方法对涂层进行建模。另一种选择是进行喷雾头测试,这可以更好地反映涂层过程中的情况。这项工作提出了一种新的方法来原位获取和分析喷雾珠。采集是基于3D相机扫描样品之前和之后沉积的一个喷雾头。该方法可以简化评估,从而更好地了解喷雾珠的形成及其建模。建议对喷雾珠进行不确定度评定。这样就可以估计模型预测的不确定性,而这在以前关于该主题的工作中被省略了。分析表明,对于以恒定的喷涂距离和速度垂直喷涂平面样品的最简单场景,涂层厚度预测的相对扩展不确定度为10%(在95%置信水平下)。
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
Journal of Thermal Spray Technology
Journal of Thermal Spray Technology 工程技术-材料科学:膜
CiteScore
5.20
自引率
25.80%
发文量
198
审稿时长
2.6 months
期刊介绍: From the scientific to the practical, stay on top of advances in this fast-growing coating technology with ASM International''s Journal of Thermal Spray Technology. Critically reviewed scientific papers and engineering articles combine the best of new research with the latest applications and problem solving. A service of the ASM Thermal Spray Society (TSS), the Journal of Thermal Spray Technology covers all fundamental and practical aspects of thermal spray science, including processes, feedstock manufacture, and testing and characterization. The journal contains worldwide coverage of the latest research, products, equipment and process developments, and includes technical note case studies from real-time applications and in-depth topical reviews.
期刊最新文献
Special Issue Featuring Papers from the Asian Thermal Spray Conference (ATSC) 2024 Fardad Azarmi and Sara Bagherifard Join JTST Editorial Team JTST will Require a Statement of Novelty for All Submissions in 2026 Inelastic Deformation and Fatigue Cracking in TBC around Film Cooling Hole Subjected to Thermomechanical Loading Effects of Steady-State Magnetic Field on GH3536/DD6 Single-Crystal Superalloy by Laser Directed Energy Deposition
×
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:604180095
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