Review on condition monitoring of Abrasive Water Jet Machining system

K. Kalpana, O. V. Mythreyi, M. Kanthababu
{"title":"Review on condition monitoring of Abrasive Water Jet Machining system","authors":"K. Kalpana, O. V. Mythreyi, M. Kanthababu","doi":"10.1109/RACE.2015.7097254","DOIUrl":null,"url":null,"abstract":"Condition monitoring of any machining system has become inevitable in order to achieve flexibility and automation. This work reviews on the research aspects in the condition monitoring of Abrasive Water Jet Machining (AWJM) system. Condition monitoring of the AWJM system helps to achieve an effective utilization of the machine in order to increase productivity. AWJM is one of the non-traditional machining processes used to machine difficult-to-machine materials. It works on the principles of erosion of material by the action of high velocity water jet mixed with abrasive particles and air. The input parameters involved in the AWJM system are water jet pressure, abrasive flow rate, orifice diameter, nozzle diameter, particle size of the abrasive, abrasive type, etc. Researchers have carried out condition monitoring of AWJM system using different sensors such as Acoustic Emission (AE), accelerometer, cutting force dynamometer, sound, thermograms, etc. Among the sensors, it is observed that the AE sensor is widely used in AWJM system for monitoring. From the review, it is observed that the acquired sensor signals are correlated with output parameters such as nozzle wear, depth of cut, surface texture, jet energy, jet penetration, stand-off distance, etc. The future work recommends the condition monitoring of AWJM system using multi-sensory approach with suitable sensors.","PeriodicalId":161131,"journal":{"name":"2015 International Conference on Robotics, Automation, Control and Embedded Systems (RACE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Robotics, Automation, Control and Embedded Systems (RACE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RACE.2015.7097254","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

Condition monitoring of any machining system has become inevitable in order to achieve flexibility and automation. This work reviews on the research aspects in the condition monitoring of Abrasive Water Jet Machining (AWJM) system. Condition monitoring of the AWJM system helps to achieve an effective utilization of the machine in order to increase productivity. AWJM is one of the non-traditional machining processes used to machine difficult-to-machine materials. It works on the principles of erosion of material by the action of high velocity water jet mixed with abrasive particles and air. The input parameters involved in the AWJM system are water jet pressure, abrasive flow rate, orifice diameter, nozzle diameter, particle size of the abrasive, abrasive type, etc. Researchers have carried out condition monitoring of AWJM system using different sensors such as Acoustic Emission (AE), accelerometer, cutting force dynamometer, sound, thermograms, etc. Among the sensors, it is observed that the AE sensor is widely used in AWJM system for monitoring. From the review, it is observed that the acquired sensor signals are correlated with output parameters such as nozzle wear, depth of cut, surface texture, jet energy, jet penetration, stand-off distance, etc. The future work recommends the condition monitoring of AWJM system using multi-sensory approach with suitable sensors.
磨料水射流加工系统状态监测研究进展
为了实现柔性和自动化,对任何加工系统进行状态监测已成为必然。本文综述了磨料水射流加工(AWJM)系统状态监测的研究进展。AWJM系统的状态监测有助于实现机器的有效利用,以提高生产率。AWJM是一种用于加工难加工材料的非传统加工工艺。它的工作原理是通过高速水射流与磨料颗粒和空气的混合作用来侵蚀材料。AWJM系统涉及的输入参数有水射流压力、磨料流量、孔直径、喷嘴直径、磨料粒度、磨料类型等。研究人员利用声发射(AE)、加速度计、切削力测功仪、声音、热像图等不同传感器对AWJM系统进行了状态监测。其中,声发射传感器在AWJM系统中应用最为广泛。从综述中可以看出,采集到的传感器信号与喷嘴磨损、切割深度、表面纹理、射流能量、射流穿透、隔离距离等输出参数相关。今后的工作建议采用多感官方法和合适的传感器对水射流系统进行状态监测。
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:604180095
Book学术官方微信