State of machining process monitoring research in Korea

International Journal of Machine Tools and Manufacture

Volumn 39, Issue 11, 1999, Pages 1697-1715

  Cho, Dong Woo ^a   Lee, Sang Jo ^b   Chu, Chong Nam ^c  

^a Pohang University of Science and Technology (POSTECH)   (South Korea)

^b Yonsei University   (South Korea)

^c Seoul National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; GEOGRAPHICAL REGIONS; INDUSTRIAL RESEARCH; MONITORING; SENSORS; SIGNAL PROCESSING;

DECISION MAKING ALGORITHMS; MACHINING PROCESS MONITORING RESEARCH;

MACHINING;

EID: 0033216672     PISSN: 08906955     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0890-6955(99)00026-7     Document Type: Article

References (91)

1. H.K. Tonshoff, J.P. Wolfsberg, H.J.J. Kals, W. König, C.A. Luttervelt, Developments and trends in monitoring and control of machining process, Annals of the CIRP 37 (2) (1988) 611-622.
2. C.N. Chu, W.T. Kwon, Monitoring and diagnosis for abnormal states of machine tools, J. KSPE 11 (2) (1994) 5-12.
3. D. Meredith, Practical tool condition monitoring, Manufacturing Engineering, Society of Manufacturing Engineers 120 (1) (1998) 34-39.
4. G. Byrne, D. Dornfeld, I. Inasaki, G. Ketteler, W. König, R. Teti, Tool Condition Monitoring (TCM) - the status of research and industrial application, Annals of the CIRP 44 (2) (1995) 541-567.
5. J.H. Lee, S.J. Lee, The classification of tool wear states using pattern recognition technique, in: KSME Spring Annual Meeting, Pusan, Korea, 23-24 April, 1993, pp. 662-665.
6. J.H. Lee, S.J. Lee, The classification of tool wear states using pattern recognition technique, Trans. KSME 17 (7) (1993) 1783-1793.
7. H.Y. Kim, J.H. Ahn, Development of multiple monitoring system for intelligence of a machine tool - application to drilling process, J. KSPE 10 (4) (1993) 142-151.
8. J.H. Lee, J.H. Kang, S.H. Kim, Y.I. Kim, Y.K. Lee, D.H. Wang, A study on the monitoring technology of prediction for grinding wheel condition, in: KSPE Fall Annual Meeting, Seoul, Korea, 18 November, 1995, pp. 125-130.
9. J.J. Lee, H.Y. Park, Detection of tool breakage using multi-sensing system, J. KSPE 10 (2) (1993) 95-103.
10. H.W. Seo, K.H. Yu, C.Y. Cheong, N.S. Suh, A study on the detection and diagnosis of the abnormal machining process using current signal, in: KSPE Fall Annual Meeting, Seoul, Korea, 23 November, 1996, pp. 212-216.
11. H.W. Seo, K.H. Yu, C.Y. Cheong, S.H. Oh, N.S. Suh, A study on the detection of the chatter using current signal in turning, in: KSPE Spring Annual Meeting, Chunju, Korea, 30-31 May, 1997, pp. 947-951.
12. K.H. Lee, I.K. Heo, W.T. Kwon, J.N. Ju, J.M. Lee, A study on the tool breakage detection system in face milling process using motor current measurement, in: KSPE Fall Annual Meeting, Seoul, Korea, 18 November, 1995, pp. 38-43.
13. T.Y. Kim, D.K. Choi, C.N. Chu, J.W. Kim, Indirect cutting force measurement by using servodrive current sensing and it's application to monitoring and control of machining process, J. KSPE 13 (12) (1996) 133-145.
14. S.J. Lee, C.Y. Cho, J.H. Lee, Tool wear monitoring with vision system by block processing, J. KSPE 10 (3) (1993) 81-86.
15. O.D. Kwon, M.Y. Yang, Tool condition monitoring technique using computer vision and pattern recognition, Trans. KSME 17 (1) (1993) 27-37.
16. M.Y. Yang, O.D. Kwon, Wear measurement of signal crystal diamond tool using image processing, in: KSPE Spring Annual Meeting, Pusan, Korea, 1 June, 1996, pp. 135-139.
17. Y.I. Kim, S.J. Kim, B.H. Ryu, A study on the measurement for crater wear by digital image in turning, in: KSPE Spring Annual Meeting, Taegu, Korea, 22 May, 1993, pp. 215-220.
18. Y.K. Choi, B.H. Ryu, A study on the fracture detection of multi-point tool, J. KSPE 12 (4) (1995) 67-77.
19. Y.I. Kim, B.H. Ryu, A study on the measurement of flank wear by computer vision in turning, J. KSPE 10 (3) (1993) 168-174.
20. Y.I. Kim, S.Y. Sa, Y.K. Choi, B.H. Ryu, An experimental study on the real-time tool breakage detection in the face milling, in: KSPE Fall Annual Meeting, Seoul, Korea, 18 November, 1995, pp. 9-14.
21. E.Y. Yu, S.Y. Sa, Y.I. Kim, B.H. Ryu, A study on the detection of wheel wear by computer vision system, in: KSPE Fall Annual Meeting, Seoul, Korea, 18 November, 1995, pp. 119-124.
22. J.U. Jeon, S.W. Kim, Optical flank wear monitoring of cutting tool by image processing, Wear 127 (1988) 207-217.
23. J.M. Lee, D.K. Choi, W.T. Kwon, In-process tool breakage detection using a built-in force sensor and an AE sensor. Trans. NAMRI (1994) 91-97.
24. D.K. Choi, C.N. Chu, J.M. Lee, A study on real time monitoring of tool fracture in turning, J. KSPE 12 (3) (1995) 130-143.
25. D.K. Choi, D.H. Lee, J.N. Chu, J.M. Lee, Real time tool breakage monitoring for NC turning and drilling, in: KSME Spring Annual Meeting, Taejon, Korea, 22-23 April, 1994, pp. 461-465.
26. M.S. Cheong, D.W. Cho, Diagnosis and control of machining states in micro-drilling for productivity enhancement, J. KSPE 15 (1) (1998) 117-129.
27. M.S. Cheong, D.W. Cho, Cutting force regulation of micro-drilling using the sliding mode control, in: KSPE Spring Annual Meeting, Chunju, Korea, 30-31 May, 1997, pp. 842-846.
28. S.S. Lee, H.S. Kim, Condition diagnosis of milling tools by artificial neural network, in: KSPE Spring Annual Meeting, Taegu, Korea, 22 May, 1993, pp. 71-75.
29. S.I. Yoon, S.S. Lee, H.S. Kim, In-process monitoring of milling chatter by artificial neural network, J. KSPE 12 (5) (1995) 25-32.
30. E.S. Chung, J.B. Ko, K.S. Kim, Detection of chatter vibration in end-mill process by neural network methodology, J. KSPE 12 (10) (1995) 149-156.
31. S.I. Yoon, S.S. Lee, H.S. Kim, Tool wear monitoring in milling operation using ART2 neural network, J. KSPE 12 (12) (1995) 120-129.
32. J.R. Lee, J.B. Song, N.K. Ha, J.S. Kwak, A study on the monitoring of chatter vibration using pattern recognition in the plunge grinding, in: KSPE Fall Annual Meeting, Suwon, Korea, 15 November, 1997, pp. 28-32.
33. G.J. Sim, C.Y. Cheong, S.H. Oh, N.S. Seo, A study on the classification and prediction of the chip type under the specified cutting conditions in turning, J. KSPE 12 (8) (1995) 53-62.
34. D.K. Baek, T.J. Ko, H.S. Kim, A study of real time monitoring of tool breakage in milling operation using a DSP, J. KSPE 13 (6) (1996) 168-176.
35. M.K. Ha, J.S. Kwak, J.B. Song, G.H. Kim, H.S. Kim, A study on the monitoring system of the grinding troubles utilizing neural networks (1), J. KSPE 13 (9) (1996) 149-155.
36. J.S. Kwak, G.H. Kim, M.K. Ha, J.B. Song, H.S. Kim, Monitoring systems of a grinding trouble utilizing neural networks (2), J. KSPE 13 (12) (1996) 57-63.
37. J.S. Kwak, J.B. Song, The recognition of grinding troubles utilizing the neural networks (3) - establishment of optimal grinding conditions, J. KSPE 15 (2) (1998) 162-169.
38. K.Y. Lim, S.D. Mun, S.H. Oh, S.I. Kim, T.Y. Kim, A study on damage detection of cutting tool using neural network and cutting force signal, J. KSPE 14 (12) (1997) 48-55.
39. S.P. Choi, M.C. Kang, D.W. Lee, J.S. Kim, Tool wear monitoring using time series model and fractal analysis, in: KSPE Fall Annual Meeting, Seoul, Korea, 23 November, 1996, pp. 69-73.
40. D.S. Park, A study on the monitoring of chip forms and chatter by multi-layer perceptron neural network, in: KSPE Fall Annual Meeting, Seoul, Korea, 27 November, 1993, pp. 293-297.
41. T.J. Ko, D.W. Cho, Cutting state monitoring in milling by neural networks, Int. J. Mach. Tools Manufact. 34 (5) (1994) 659-676.
42. T.J. Ko, D.W. Cho, Adaptive optimization of face milling operations using neural networks, in: The First S.M. Wu Symposium on Manufacturing Science, Evanston, Illinois, 27-28 May, 1994, pp. 118-123.
43. D.W. Cho, Neural networks in production automation systems, J. KSPE 11 (1) (1994) 20-31.
44. T.J. Ko, D.W. Cho, M.Y. Jung, On-line monitoring of tool breakage in face milling using self-organized neural network, J. Manufacturing Systems 14 (2) (1995) 80-90.
45. T.J. Ko, H.S. Kim, D.W. Cho, Tool breakage detection in face milling by and unsupervised neural network, in: SPIE's International Symposium on Intelligent Systems and Advanced Manufacturing, Philadelphia, Pennsylvania, USA, 22-26 October, 1995.
46. T.J. Ko, D.W. Cho, Adaptive modelling of milling process and application of a neural network for tool wear monitoring, Int. J. Advanced Manufacturing Technology 12 (1996) 5-13.
47. T.K. Ko, D.W. Cho, Adaptive optimization of face milling operations using neural networks, Trans. ASME, J. Manufacturing Sci Engng, in press, 1998.
48. C.Y. Cheong, H.Y. Yu, Y.K. Kwon, N.S. Suh, A study on diagnosis of cutting tool states using cutting conditions and cutting force parameters (1), J. KSPE 14 (10) (1997) 135-140.
49. D.W. Cho, K.F. Eman, Pattern recognition technique for on-line chatter detection, Mechanical Systems and Signal Processing 2 (3) (1988) 279-290.
50. T.J. Ko, D.W. Cho, J.M. Lee, Fuzzy pattern recognition for tool wear monitoring in diamond turning, Annals of the CIRP 41 (1) (1992) 125-128.
51. T.J. Ko, D.W. Cho, Tool wear monitoring in diamond turning by fuzzy pattern recognition, Trans. ASME, J. Eng. for Ind. 116 (2) (1994) 225-232.
52. T.J. Ko, D.W. Cho, Estimation of tool wear length in finish milling using fuzzy inference algorithm, Wear 169 (1993) 97-106.
53. T.J. Ko, D.W. Cho, Fuzzy estimation of minor flank wear length in finish face milling, in: ISCA International Conference on Computer Applications in Industry and Engineering, Honolulu, Hawaii, 15-17 December, 1993, pp. 266-271.
54. M.J. Maeng, J.K. Chung, On-line monitoring of endmill wear using AE signal, in: KSME Spring Annual Meeting, Pohang, Korea, 21 April, 1995, pp. 394-399.
55. M.J. Maeng, S.S. Cho, J.K. Chung, Tool fracture detection in end milling using cutting force and acoustic emission propagated through cutting fluid, J. KSPE 14 (11) (1997) 163-170.
56. K.H. Choi, K.S. Choi, H.S. Kim, AE from tool flank contact in precision diamond turning, Trans. KSME 17 (3) (1993) 527-537.
57. J.D. Kim, I.H. Choi, Development of tool failure detection system using multi-sensors, Int. J. Mach. Tools Manufact. 36 (8) (1995) 861-870.
58. C.Y. Cheong, K.H. Yu, N.S. Suh, Diagnosis of tool wear and fracture using cutting force signal characteristics and histogram analysis, J. KSPE 14 (3) (1997) 75-81.
59. H.S. Kang, E.S. Chung, J. Hwang, Detection of tool wear by using the ultrasonic in-process sensor, in: KSPE Spring Annual Meeting, Chunju, Korea, 30-31 May, 1997, pp. 852-856.
60. G.H. Ha, S.J. Ku, M.C. Kang, J.S. Kim, J.H. Ha, S.C. Yang, Tool wear monitoring of end mill in slot machining of titanium alloy, in: KSPE Fall Annual Meeting, Suwon, Korea, 15 November, 1997, pp. 101-104.
61. T.O. Jun, H.S. Park, K.Y. Lee, G.H. Ye, Detection of the cutting tool's damage by AE signals for austempered ductile iron, J. KSPE 13 (11) (1996) 25-31.
62. S.I. Lee, S.C. Chung, Chatter control and tool condition monitoring of turning process using sound pressure, J. KSPE 14 (11) (1997) 50-57.
63. J.H. Seo, S.I. Kim, T.Y. Kim, An experimental study on the tool failure detection in the machining by face milling, J. KSPE 12 (3) (1995) 92-100.
64. S.H. Oh, S.I. Kim, S.H. Oh, T.Y. Kim, A study on tool wear and AE signal characteristics in face milling of SUS304, J. KSPE 12 (3) (1995) 5-14.
65. G.D. Kim, W.T. Kwon, J.N. Chu, J.M. Lee, In-process chatter detection using multiple sensors in turning, Trans. KSME 18 (7) (1994) 1618-1631.
66. G.D. Kim, Y.T. Oh, J.H. Hwang, C.N. Chu, Development of tool fracture index for detection of tool fracture in milling process, in: KSPE Spring Annual Meeting, Chunju, Korea, 30-31 May, 1997, pp. 881-888.
67. H. Hur, K.Y. Lee, Y.H. Jeong, D.W. Lee, J.S. Kim, K.H. Hwang, Monitoring of tool conditions in high speed machining of die material, in: KSPE Fall Annual Meeting, Suwon, Korea, 15 November, 1997, pp. 131-134.
68. J.R. Cho, J.S. Won, Y.G. Jung, A study on the characteristics of AE signals by tool wear, in: KSPE Fall Annual Meeting, Suwon, Korea, 15 November, 1997, pp. 95-100.
69. J.W. Youn, M.Y. Yang, H.Y. Park, Detection of cutting tool fracture by dual signal measurement, Int. J. Manufact. 34 (4) (1994) 507-525.
70. Y.K. Kwon, S.H. Oh, D.H. Kim, The RMS characteristics of cutting force depending on the tool wear, Trans. KSME 17 (9) (1993) 2214-2222.
71. H.Y. Hwang, B.C. Lee, K.J. Kim, A study on the progressive tool wear and acoustic emission signals in milling process, Trans. KSME 12 (5) (1988) 1035-1042.
72. S.H. Kim, B.C. Chung, J.H. Ahn, Monitoring/control system for cylindrical plunge grinding, J. KSPE 12 (9) (1995) 66-73.
73. W.T. Kwon, Tool wear monitoring scheme by modeling of the cutting dynamics by time-series method, J. KSPE 10 (4) (1993) 94-103.
74. I.K. Heo, D.K. Choi, J.N. Chu, J.M. Lee, A study on the in-process milling tool breakage detection using cutting force, in: KSME Spring Annual Meeting, Taejon, Korea, 22-23 April, 1994, pp. 781-786.
75. E.S. Chung, Y.S. Chiou, S.Y. Liang, Tool wear and chatter detection in turning via time-series modeling and frequency band averaging, J. KSPE 11 (2) (1994) 75-84.
76. J.H. Ahn, J.S. Shin, H.Y. Kim, E.S. Lee, S.J. Kim, J.U. Oh, Monitoring and control of micro hole machining, in: KSME Spring Annual Meeting, Taejon, Korea, 22-23 April, 1994, pp. 466-469.
77. W.S. Kim, J.H. Lee, D.H. Kim, An experimental study on detection of tool failure using telemetering technique, J. KSPE 13 (11) (1996) 100-105.
78. Y.K. Kwon, S.H. Oh, K.H. Yu, N.S. Suh, Flank wear estimation using dynamic cutting force (1), J. KSPE 14 (8) (1997) 115-121.
79. S.Y. Lee, E.S. Chung, Monitoring of chatter vibration by laser displacement signal, J. KSPE 12 (1) (1995) 15-21.
80. Y.H. Lim, D.H. Kwon, I.K. Joung, M.Y. Choi, S.J. Lim, Detection of abnormal conditions and monitoring of surface grinding characteristics by acoustic emission, J. KSPE 11 (4) (1995) 100-110.
81. J.S. Kim, M.C. Kang, K.Y. Lee, S.J. Ku, Chaotic analysis of tool wear using multi-sensor signal in end-milling process, J. KSPE 14 (11) (1997) 93-101.
82. J.S. Cho, M.C. Kang, J.S. Kim, The prediction of tool wear by cutting force model in the machining of die material, in: KSPE Fall Annual Meeting, Seoul, Korea, 18 November, 1995, pp. 61-66.
83. S.P. Choi, M.C. Kang, J.S. Kim, S.Y. Kim, B.J. Ryu, Y.K. Ji, Tool life monitoring using AE signal in gear shaping, in: KSPE Spring Annual Meeting, Pusan, Korea, 1 June, 1996, pp. 130-134.
84. T.B. Kim, S.Y. Kang, D.H. Wang, W.I. Kim, Y.K. Lee, A study on the characteristics of AE signals of tool failure for continuous and interrupted cutting under CNC lathe, J. KSPE 13 (4) (1996) 136-142.
85. D.S. Shin, S.C. Chung, An expert system using diagnostic parameters for machine tool condition monitoring, J. KSPE 13 (10) (1996) 112-121.
86. Y.K. Choi, B.H. Ryu, A study on the fracture detection of multi-point-tool, J. KSPE 12 (4) (1995) 67-77.
87. S.I. Yoon, T.J. Ko, H.S. Kim, Tool wear monitoring in milling operation using ART2 neural network, J. KSPE 12 (2) (1995) 120-129.
88. S.M. Yoo, Y.J. Kim, Development of diagnostic expert system for machining process failure detection, J. KSPE 14 (11) (1997) 147-153.
89. E.S. Chung, S. Namgung, Y. Ito, In-process recognition of chip forms using dynamic component of cutting force, Trans. JSME 55 (518) (1989) 2632-2636.
90. M.C. Yoon, D.W. Cho, C.K. Park, On the identification and monitoring of a grinding process through ARMA modeling, in: ASIA Vibration Conference, 27-29 November, 1989, Shenzhen, P.R. of China, pp. 659-664.
91. M.C. Yoon, D.W. Cho, C.K. Park, Time series modeling of grinding process for malfunction monitoring, SME Technical Paper, MR 89-763, 1989.