Tool condition monitoring in honing process using acoustic emission signals

被引：4

作者：

Kanthababu, M. ^{[1
]}

Shunmugam, M. S. ^{[1
]}

Singaperumal, M. ^{[1
]}

机构：

[1] Indian Inst Technol Madras, Dept Mech Engn, Madras 600036, Tamil Nadu, India

来源：

INTERNATIONAL JOURNAL OF AUTOMATION AND CONTROL | 2008年 / 2卷 / 01期

关键词：

Tool Condition Monitoring; TCM; Acoustic Emission; AE; honing; cylinder liner; surface roughness;

D O I：

10.1504/IJAAC.2008.020422

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Sensing Acoustic Emission (AE) signals from a machining process is one of the most promising methods suitable for tool condition monitoring because of its sensitivity combined with quick and high frequency response. In this work, AE signals are monitored during rough, finish and plateau honing of cylinder liner using fresh and completely worn out honing tools. AE parameters such as Root Mean Square (RMS), peak to peak, skewness and kurtosis and dominant frequency in the power spectrum are analysed. The results show that the dominant frequency in the power spectrum is very sensitive to honing tool conditions and a good correlation exists with honed surface quality. Therefore, AE signals can be used for ascertaining the honing tool performance and establishing the end of tool life.

引用

页码：99 / 112

页数：14

共 50 条

[41] Acoustic emission technology for monitoring die condition in sheet metal forming process [J].

Huat, Ng Chuan ;

Ing, Wong Hui ;

Fung, Lai Chee ;

Yahaya, Shamy Nazrein Md ;

Ramli, Rahizar ;

Yin, Sim Hoi .

PROCEEDINGS OF MECHANICAL ENGINEERING RESEARCH DAY 2019 (MERD'19), 2019, :190-192

[42] ACOUSTIC EMISSION AS TOOL WEAR MONITORING [J].

Duspara, Miroslav ;

Sabo, Kristian ;

Stoic, Antun .

TEHNICKI VJESNIK-TECHNICAL GAZETTE, 2014, 21 (05) :1097-1101

[43] Assessment of cutting tool condition by acoustic emission [J].

Gomez, M. P. ;

Hey, A. M. ;

D'Attelis, C. E. ;

Ruzzante, J. E. .

11TH INTERNATIONAL CONGRESS ON METALLURGY & MATERIALS SAM/CONAMET 2011, 2012, 1 :321-328

[44] Acoustic emission signals for tool wear identification [J].

Dolinsek, S ;

Kopac, J .

WEAR, 1999, 225 :295-303

[45] Development of an on-line tool-life monitoring system using acoustic emission signals in gear shaping [J].

Kim, JS ;

Kang, PC ;

Ryu, BJ ;

Ji, YK .

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 1999, 39 (11) :1761-1777

[46] Condition monitoring of gearbox using experimental investigation of acoustic emission technique [J].

Sharma, Ram Bihari ;

Parey, Anand .

PLASTICITY AND IMPACT MECHANICS, 2017, 173 :1575-1579

[47] Monitoring the lack of grease condition of rolling bearing using acoustic emission [J].

Wang, Kaiqiang ;

Liu, Xiaoqin ;

Wu, Xing ;

Zhu, Zhenjun .

INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL, 2019, 31 (01) :94-102

[48] Monitoring of the condition of diamond grinding wheels using acoustic emission technique [J].

Mokbel, AA ;

Maksoud, TMA .

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2000, 101 (1-3) :292-297

[49] Statistical estimated parameter for pipeline condition monitoring using acoustic emission [J].

Kaewkongka, Tonphong ;

Lim, Jirapong .

2007 IEEE INSTRUMENTATION & MEASUREMENT TECHNOLOGY CONFERENCE, VOLS 1-5, 2007, :433-435

[50] Monitoring the cutting condition of structurally distinct aluminum oxide grinding wheels using acoustic emission signals and the Hinkley criterion [J].

Lopes, Wenderson Nascimento ;

de Aguiar, Paulo Roberto ;

Antonio, Zaqueu R. Fernando ;

Silva, Anderson ;

da Silva, Mauro Gomes ;

de Araujo, Thabatta Moreira Alves .

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2024, 131 (3-4) :1071-1079

← 1 2 3 4 5 →