IDENTIFICATION OF THE ROOT CAUSE OF SURFACE TOPOGRAPHY INACCURACIES BY MEANS OF PROCESS MONITORING: INDUSTRIAL EXAMPLES

被引:1
作者
Gil, M. [1 ]
Beudaert, X. [1 ]
Munoa, J. [1 ,2 ]
Barrenetexea, D. [1 ]
Sanchez, J. A. [2 ]
机构
[1] Ideko, Dynam & Control, Elgoibar, Spain
[2] Univ Basque Country, Dept Mech Engn, Bilbao, Spain
来源
MM SCIENCE JOURNAL | 2021年 / 2021卷
基金
欧盟地平线“2020”;
关键词
Chatter; Defects; Surface topography; Vibrations; MACHINE; VIBRATION; ROUGHNESS; TRANSFORM; CHATTER; FORCES;
D O I
10.17973/MMSJ.2021_11_2021169
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The surfaces of machined workpieces contain the signature of the manufacturing process. Indeed, the surface inaccuracies can be related to process parameters and machine vibrations. This paper aims at using process monitoring to identify the origin of surface topography defects. Thus, vibration and other process parameter measurements are correlated with profile measurements to establish the relationship between vibrations and surface topography for various process conditions. As each machine and process anomaly is reflected differently in the time and frequency domain, different analyses are applied both to temporal signals such as vibrations and to geometric signals obtained from the micro-geometry of the workpiece. Experimental results validate the diagnostic method and verify that the procedure is effective for the identification of topography defects originated not only from chatter vibrations but also from forced vibration coming from the kinematical chain (unbalance, beating...). The diagnostic method is successfully applied in various machining operations such as turning and grinding.
引用
收藏
页码:5275 / 5282
页数:8
相关论文
共 23 条
[1]   The effect of wheel eccentricity and run-out on grinding forces, waviness, wheel wear and chatter [J].
Badger, Jeffrey ;
Murphy, Stuart ;
O'Donnell, Garret .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2011, 51 (10-11) :766-774
[2]   Ball Bearing Damage Detection Using Traditional Signal Processing Algorithms [J].
Bediaga, Inigo ;
Mendizabal, Xabier ;
Arnaiz, Aitor ;
Munoa, Jokin .
IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE, 2013, 16 (02) :20-25
[3]   ESTIMATION OF ENGAGEMENT CONDITIONS USING AN ANN PATTERN RECOGNITION SYSTEM ON THE BASE OF A SENSORY TOOL HOLDER [J].
Bergs, T. ;
Schraknepper, D. ;
Goetz, S. .
MM SCIENCE JOURNAL, 2019, 2019 :3310-3315
[4]   Modeling and simulation of grinding surface topography considering wheel vibration [J].
Cao, Yanlong ;
Guan, Jiayan ;
Li, Bo ;
Chen, Xiaolong ;
Yang, Jiangxin ;
Gan, Chunbiao .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2013, 66 (5-8) :937-945
[5]   On-machine and in-process surface metrology for precision manufacturing [J].
Gao, W. ;
Haitjema, H. ;
Fang, F. Z. ;
Leach, R. K. ;
Cheung, C. F. ;
Savio, E. ;
Linares, J. M. .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2019, 68 (02) :843-866
[6]   Prediction of Ground Surfaces by Using the Actual Tool Topography [J].
Hockauf, Rolf ;
Boess, Volker ;
Grove, Thilo ;
Denkena, Berend .
JOURNAL OF MANUFACTURING AND MATERIALS PROCESSING, 2019, 3 (02)
[7]   Grinding chatter - Origin and suppression [J].
Inasaki, I ;
Karpuschewski, B ;
Lee, HS .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2001, 50 (02) :515-534
[8]   EFFECT OF VIBRATION ON SURFACE ROUGHNESS IN FINISH TURNING: SIMULATION STUDY [J].
Kang, W. T. ;
Derani, M. N. ;
Ratnam, M. M. .
INTERNATIONAL JOURNAL OF SIMULATION MODELLING, 2020, 19 (04) :595-606
[9]   Laser methods based on an analysis of scattered light for automated, in-process inspection of machined surfaces: A review [J].
Kaplonek, Wojciech ;
Nadolny, Krzysztof .
OPTIK, 2015, 126 (20) :2764-2770
[10]   Predictive modeling of surface roughness in grinding [J].
Khare, Sanchit Kumar ;
Agarwal, Sanjay .
15TH CIRP CONFERENCE ON MODELLING OF MACHINING OPERATIONS (15TH CMMO), 2015, 31 :375-380