Experimental investigation and modelling of the kerf profile in submerged milling by macro abrasive waterjet

IF 2.4 3区 工程技术 Q3 ENGINEERING, MANUFACTURING Journal of Manufacturing Science and Engineering-transactions of The Asme Pub Date : 2023-05-16 DOI:10.1115/1.4062547
R. Ravi, Deepu Kumar T. N., D. Srinivasu
{"title":"Experimental investigation and modelling of the kerf profile in submerged milling by macro abrasive waterjet","authors":"R. Ravi, Deepu Kumar T. N., D. Srinivasu","doi":"10.1115/1.4062547","DOIUrl":null,"url":null,"abstract":"\n Towards achieving control over the kerfing through abrasive waterjet submerged milling, there is a need to (i) understand the influence of the water column height on the kerf quality and (ii) develop a model for the prediction of the kerf characteristics. This study performs detailed experimentation to assess the kerf quality enhancement in submerged milling relative to the in-air on Al6061. From the modelling perspective, there are very limited efforts in developing a comprehensive model that includes both the jet flow dynamics and material removal models - this is the missing link. Towards this, a comprehensive model is proposed and validated for the prediction of kerf in in-air and submerged conditions by considering (i) jet dynamics and (ii) jet-material interaction. From the experimental results, it is observed that by adopting the submerged milling, the damaged region, top kerf width and edge radius got reduced by 20.3%, 13.53%, and 22.7%, respectively. However, this enhancement in the kerf quality is associated with a reduction in the centreline erosion depth (hmax) by 12.33% and a material removal rate by 24.52%. The material removal mechanism is more uniform and directed in the submerged milling, whereas in-air is random. The proposed model predicted the kerf cross-sectional profile in submerged milling and in-air with a mean absolute error of 60 μm and 57 μm, squared Pearson correlation coefficient of 0.97 and 0.99, and the hmax with a maximum error of 1.3% and 1.4%.","PeriodicalId":16299,"journal":{"name":"Journal of Manufacturing Science and Engineering-transactions of The Asme","volume":" ","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2023-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Manufacturing Science and Engineering-transactions of The Asme","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1115/1.4062547","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 0

Abstract

Towards achieving control over the kerfing through abrasive waterjet submerged milling, there is a need to (i) understand the influence of the water column height on the kerf quality and (ii) develop a model for the prediction of the kerf characteristics. This study performs detailed experimentation to assess the kerf quality enhancement in submerged milling relative to the in-air on Al6061. From the modelling perspective, there are very limited efforts in developing a comprehensive model that includes both the jet flow dynamics and material removal models - this is the missing link. Towards this, a comprehensive model is proposed and validated for the prediction of kerf in in-air and submerged conditions by considering (i) jet dynamics and (ii) jet-material interaction. From the experimental results, it is observed that by adopting the submerged milling, the damaged region, top kerf width and edge radius got reduced by 20.3%, 13.53%, and 22.7%, respectively. However, this enhancement in the kerf quality is associated with a reduction in the centreline erosion depth (hmax) by 12.33% and a material removal rate by 24.52%. The material removal mechanism is more uniform and directed in the submerged milling, whereas in-air is random. The proposed model predicted the kerf cross-sectional profile in submerged milling and in-air with a mean absolute error of 60 μm and 57 μm, squared Pearson correlation coefficient of 0.97 and 0.99, and the hmax with a maximum error of 1.3% and 1.4%.
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
大磨料水射流埋铣切口轮廓的实验研究与建模
为了通过磨料水射流浸没式铣削实现对切口的控制,需要(i)了解水柱高度对切口质量的影响,以及(ii)开发用于预测切口特性的模型。本研究进行了详细的实验,以评估在Al6061上相对于空气中铣削的切口质量增强。从建模的角度来看,开发一个包括射流动力学和材料去除模型的综合模型的努力非常有限——这是缺失的一环。为此,通过考虑(i)射流动力学和(ii)射流-材料相互作用,提出并验证了一个综合模型,用于预测空气和水下条件下的切口。实验结果表明,采用浸没铣削,损伤区域、切口宽度和边缘半径分别减少了20.3%、13.53%和22.7%。然而,切口质量的提高与中心线侵蚀深度(hmax)减少12.33%和材料去除率减少24.52%有关。材料去除机制在浸没式铣削中更为均匀和直接,而在空气中则是随机的。所提出的模型预测了埋铣和空气中的切口截面轮廓,平均绝对误差分别为60μm和57μm,Pearson平方相关系数分别为0.97和0.99,hmax最大误差分别为1.3%和1.4%。
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
CiteScore
6.80
自引率
20.00%
发文量
126
审稿时长
12 months
期刊介绍: Areas of interest including, but not limited to: Additive manufacturing; Advanced materials and processing; Assembly; Biomedical manufacturing; Bulk deformation processes (e.g., extrusion, forging, wire drawing, etc.); CAD/CAM/CAE; Computer-integrated manufacturing; Control and automation; Cyber-physical systems in manufacturing; Data science-enhanced manufacturing; Design for manufacturing; Electrical and electrochemical machining; Grinding and abrasive processes; Injection molding and other polymer fabrication processes; Inspection and quality control; Laser processes; Machine tool dynamics; Machining processes; Materials handling; Metrology; Micro- and nano-machining and processing; Modeling and simulation; Nontraditional manufacturing processes; Plant engineering and maintenance; Powder processing; Precision and ultra-precision machining; Process engineering; Process planning; Production systems optimization; Rapid prototyping and solid freeform fabrication; Robotics and flexible tooling; Sensing, monitoring, and diagnostics; Sheet and tube metal forming; Sustainable manufacturing; Tribology in manufacturing; Welding and joining
期刊最新文献
CONTINUOUS STEREOLITHOGRAPHY 3D PRINTING OF MULTI-NETWORK HYDROGELS IN TRIPLY PERIODIC MINIMAL STRUCTURES (TPMS) WITH TUNABLE MECHANICAL STRENGTH FOR ENERGY ABSORPTION A Review of Prospects and Opportunities in Disassembly with Human-Robot Collaboration The Effect of Microstructure on the Machinability of Natural Fiber Reinforced Plastic Composites: A Novel Explainable Machine Learning (XML) Approach A Digital Twin-based environment-adaptive assignment method for human-robot collaboration Combining Flexible and Sustainable Design Principles for Evaluating Designs: Textile Recycling Application
×
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