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Monitoring and Control of Machining Process: A Review

Author Affiliations

  • 1Mechanical Engineering Department, B.I.T. Durg, CG, India
  • 2Mechanical Engineering Department, B.I.T. Durg, CG, India

Res. J. Engineering Sci., Volume 5, Issue (5), Pages 31-36, May,26 (2016)

Abstract

Detection and control of machining parameters such as cutting force, torque, vibration, tool condition, and surface finish is essential for faultless machining in manufacturing systems. This study presents a review on regular and enhanced methods used for monitoring and control of metal cutting processes. The difference between the various available methods, structures and the corresponding equipments are identified and evaluated.

References

  1. Zorev N.N. (1966)., Metal Cutting Mechanics., Pergamon Press, Oxford, England.
  2. Yu G. (2002)., Tool Wear Monitoring in Turning Operations using Ultrasonic Wave and Artifical Neural Network., Milwaukee, The University of Wisconsin.
  3. Abuthakeet S.S., P.V. Mohanram and G. Mohan Kumar. (2011)., Prediction and Control of Cutting Tool Vibration in CNC Lathe With ANOVA and ANN., International Journal of Lean Thinking, 2(1).
  4. Stavropoulos P. et.al. (2015)., Tool wear predictability estimation in milling based on multi-sensorial data., Int J Adv Manuf Technol. 82(1), 509-521.
  5. Stavropoulos P. et.al. (2013)., Momitoring and Control of Manufacturing Processes: A Rewiew., 14th CIRP Conference on Modeling of Machining Operations (CIRP CMMO).
  6. Taguchi. G. et.al. (1989)., Quality Engineering in Production Systems., McGraw-Hill, NY.
  7. Shewhart W.A. (1986)., Statistical Method from the viewpoint of Quality Control., Dover, New York.
  8. Ulsoy Galip A. (2006)., Monitoring and Control of Machining., Condition monitoring and control for intelligent manufacturing, Springer.
  9. Goodwin G.C. and Sin K. (1984)., Adaptive Filtering, Prediction, and Control., Dover Publication, Newyork.
  10. Stute G. (1980)., Adaptive Control., Proceedings of the Machine Tool Task Force Conference, 4, Sect. 7.14.
  11. Ulsoy A.G. and Koren Y. (1989)., Applications of Adaptive Control to Machine Tool Process Control., IEEE Control Systems Magazine, 9(4), 33-37.
  12. Galip Ulsoy A. and Koren Y. (1993)., Control of Machining Process., Transaction of the ASME, 115.
  13. Colwell L.V., Mazur J.C and De Vries W.R. (1978)., Analytical Strategies for Automatic Tracking of Tool Wear., Proceedings of the 6th North American Manufacturing Research Conference, 274-282.
  14. Yen D.W. and Wright P.K. (1983)., Adaptive Control in Machining-A New Approach Based on the Physical Constraints of Tool Wear Mechanisms, ASME Journal of Engineering for Industry, 105, 31-38.
  15. Ulsoy A.G., Koren Y. and Rasmussen F. (1983)., Principal Developments in the Adaptive Control of Machine Tools., ASME Journal of Dynamic Systems, Measurement, and Control, 105, 107-112.
  16. Koren Y., Ko T.R., Ulsoy A.G. and Danai K. (1991)., Flank Wear Estimation Under Varying Cutting Conditions., ASME Journal Of Dynamic Systems, Measurement, And Control, 113, 300-307.
  17. A. Galip Ulsoy and Yoram Koren (1989)., Applications of Adaptive Control to Machine Tool Process Control., IEEE.
  18. Danai K. and Ulsoy A.G. (1987)., A dynamic state model for on-line tool wear estimation in turning., ASME Journal of Engineering for Industry, 109, 4, 396399.
  19. Du R., Elbestawi M.A. and Wu S.M. (1995), Automated monitoring of manufacturing processes, Part 1: Monitoring methods, and Part 2: Applications., ASME Journal of Engineering for Industry, 117, 121132
  20. Ryabov O., Mori K. and N. Kasashima (1996)., An In-Process Direct Monitoring Method for Milling Tool Failures Using a Laser Sensor., AIST, MITI.
  21. Kourosh Danai and A. Galip Ulsoy (1987)., An Adaptive Observer For On-Line Tool Wear Estimation In Turning, Part I: Theory., Mechanical systems and signal processing, l(2), 211-225.
  22. Whitehouse D.J. (1978)., Surfaces: A Link between Manufacture and Function., Proceedings of the Institution of Mechanical Engineers, 179188.
  23. Tonder K. (1987)., Effects of Skew Unidirectional Striated Roughness on Hydrodynamic Lubrication., Wear, 115, 19.
  24. Wilson W.R.D. and Sheu S. (1988)., Influence of Surface Topography on Viscoplastic Asperity Lubrication., Wear, 124, 311.
  25. Cook N.H. (1980)., Tool wear sensors., Wear, 62, 4957.
  26. Cook N.H. and Subramanian K. (1978)., Micro-isotope tool wear sensor., CIRP Annals, 7378.
  27. Park J. J. and Ulsoy A.G. (1993)., On-line flank wear estimation using an adaptive observer and computer vision, Part 1: Theory, Part 2: Experiment., ASME Journal of Engineering for Industry, 115, 3043.
  28. El Gomayel J.I. and Bregger K.D. (1986)., On-line tool wear sensing for turning operations., ASME Journal of Engineering for Industry, 108, 4447.
  29. Nair R., Danai K. and Malkin S. (1992)., Turning process identification through force transients., ASME Journal of Engineering for Industry, 114, 1, 17.
  30. Groover M.P., Karpovich R.J. and Levy E.K. (1977)., A Study of the Relationship Between Remote Thermocouple Temperature and Tool Wear In Machining., International Journal of Product Research. 25, 2, 129141.
  31. Martin P., Mutels B. and Draiper J.P. (1975)., Influence of Lathe Tool Wear on the Vibrations Sustained in Cutting., 16th International Machine Tool Design and Research Conference.
  32. Kannatey Asibu Jr. E. and Dornfeld D.A. (1982)., A Study of Tool Wear in Metal Cutting Using Statistical Analysis of Acoustic Emission, Wear, 76, 2, 247261.
  33. Coker S.A., Oh S.J. and Shin Y.C. (1998)., In-Process Monitoring of Surface Roughness Utilizing Ultrasound., ASME Journal for Manufacturing Scientists and Engineers, 120, 197200.
  34. Bradley C., Bohlmann J. and Kurada S. (1998)., A Fiber Optic Sensor for Surface Roughness Measurement., ASME Journal for Manufacturing Scientists and Engineers, 120, 359367.
  35. Kourosh D. (2002)., Machine Tool Monitoring and Control., CRC Press LLC.
  36. Kannatey Asibu E. and Emel E. (1987)., Linear Discriminant Function Analysis of Acoustic Emission Signals for Cutting Tool Monitoring., Mechanical Systems and Signal Processing, 4, 333347.
  37. Houshmand A.A. and Kannatey Asibu E. (1989)., Statistical process control of acoustic emission for cutting tool monitoring., Mechanical Systems and Signal Processing, 3, 4, 405424.
  38. Tlusty J. and Andrews G.C. (1983)., A Critical Review of Sensors for Unmanned Machining., Annals of the CIRP, 32, 2, 563572.
  39. Altintas Y. and Yellowley I. (1987)., In-Process Detection Of Tool Failure In Milling Using Cutting Force Models., In Sensors for Manufacturing, ASME, 116.
  40. Moriwaki T. (1980)., Detection for Tool Fracture by Acoustic Emission Measurement., Annals of the CIRP, 29, 1, 3540.
  41. Lan M.S. and Dornfeld D.A. (1984)., In-Process Tool Fracture Detection., ASME Journal of Engineering Materials and Technology, 106, 111118.
  42. Matsushima K., Bertok P. and Sata T. (1982)., In-Process Detection of Tool Breakage by Monitoring the Spindle Motor Current of A Machine Tool., In Measurement And Control for Batch Manufacturing, ASME, 145154.
  43. Altintas Y. (1997)., Prediction of cutting forces and tool breakage in milling from feed drive current measurements., ASME Journal for Manufacturing Scientists and Engineers, 119, 386392.
  44. Hayashi S.R., Thomas C.E. and Wildes D.G. (1988)., Tool Break Detection by Monitoring Ultrasonic Vibrations., Annals of the CIRP, 37, 1, 6164.
  45. Lan M. and Naerheim Y. (1986)., In-Process Detection of Tool Breakage in Milling., ASME Journal of Engineering for Industry, 108, 191197.
  46. Altintas Y., Yellowley I. and Tlusty J. (1988)., The Detection of Tool Breakage in Milling Operations., ASME Journal of Engineering for Industry, 110, 3, 271277.
  47. Sata T., Matsushima K., Nagakura T. and Kono E. (1973)., Learning and Recognition of the Cutting States by the Spectrum Analysis., Annals of the CIRP, 22, 4142.
  48. Rangwala S. and Dornfeld D. (1990)., Sensor Integration Using Neural Networks for Intelligent Tool Condition Monitoring., ASME Journal of Engineering for Industry, 112, 219228.
  49. Danai K. and Chin H. (1991)., Fault Diagnosis with Process Uncertainty., ASME Journal of Dynamic Systems, Measurement and Control, 113, 3, 339343.
  50. Colgan J., Chin H., Danai K. and Hayashi S. (1994)., Tool breakage detection in turning: a multisensory method., ASME Journal of Engineering for Industry, 116, 1, 117123.
  51. Jammu V.B., Danai K. and Malkin S. (1993)., Unsupervised Neural Network for Tool Breakage Detection in Turning., CIRP Annals - Manufacturing Technology, 42, 67-70.
  52. Delio T., Tlusty J. and Smith S. (1992)., Use of Audio Signals for Chatter Detection and Control., ASME Journal for Manufacturing Scientists and Engineers, 119, 146157.
  53. Matsubara A. (2002)., Current Status and Trends of Monitoring and Control Technology in Machining Process., J. of the Society of Instrument and Control Engineers, 41-1, 781-786.
  54. Furutani K. (2006)., Piezoelectric sensors., Journal of the Society of Instrument and Control Engineers, 45-4, 296-30.
  55. Kistler (2015)., Kistler Measuring Systems and Sensors., http://www.kistler.com
  56. Kono D., Matsubara A., Yamaji I. and Fujita T. (2007)., High-Precision Machining by Measurement and Compensation of Motion Error., International Conference on Leading Edge Manufacturing in 21st Century, 809-812.
  57. Jemielniak K. (1999)., Commercial Tool Condition Monitoring Systems., International Journal. of Advanced Manufacturing Technology, 15, 711-721.
  58. Tlusty J. and Andrews G.C. (1983)., A Critical Review of Sensor for Unmanned Machining., Annals of the CIRP, 32-2, 563-572.
  59. Ohzeki H., Mashine A., Aoyama H., and Inasaki I. (1999)., Development of a Magnetostrictive Torque Sensor for Milling Process Monitoring., Journal of Manufacturing Science and Engineering, 121, 615-622.
  60. Matsubara A. and Ibaraki S. (2009)., Monitoring and Control of Cutting Forces in Machining Processes: A Review., International Journal of Automation Technology.
  61. Y. Altintas (1992)., Prediction of Cutting Forces and Tool Breakage in Milling from Feed Drive Current Measurement., Journal of Engineering for Industry, 114, 386-392.
  62. Lee J.M., Choi D.K., Kim J. and Chu C.N. (1995)., Real-Time Tool Breakage Monitoring for NC Milling Process., CIRP Annals Manufacturing Technology, 44-1, 59-62.
  63. Matsushima K., Bertok P. and Sara T. (1982)., In-Process Detection of Tool Breakage by Monitoring the Spindle Motor Current of Machine Tool. Measurement and Control for Batch Manufacturing, The Winter Annual Meeting of ASME, 121-134.
  64. Kim T.Y., Woo J., Shin D., and Kim J. (1999)., Indirect Cutting Force Measurement in Multi-Axis Simultaneous NC Milling Processes., International Journal of Machine Tools and Manufacture, 39-11, 1717-1731.
  65. Shinno H., Hashizume H. and Yoshloka H. (2003)., Sensor-Less Monitoring of Cutting Force During Ultraprecision Machining., CIRP Annals Manufacturing Technology, 52-1, 303-306.
  66. Kurihara D., Kakinuma Y. and Katsura S. (2009)., Sensor-less Cutting Force Monitoring using Parallel Disturbance Observer., International Journal of Automation Technology, 3-4.
  67. Konrad H., Isermann R. and Oette H.U. (1994)., Supervision of Tool Wear and Surface Quality during End Milling Operations. IFAC Workshop Intelligent Manufacturing Systems, 507-513., undefined
  68. Huang P., Chen J.C. and Chou C. (1999)., A Statistical Approach in Detecting Tool Breakage in End Milling Operations., Journal of Industrial Technology, 15-3, 2-7.
  69. Choi Y. J., Park M.S. and Chu C.N. (2008)., Prediction of Drill Failure Using Features Extraction in Time and Frequency Domains of Feed Motor Current., International Journal of Machine Tools and Manufacture, 48, pp. 29-29.
  70. Li X. (1999)., On-Line Detection of the Breakage of Small Diameter Drills Using Current Signature Wavelet Transform., International Journal of Machine Tools and Manufacture, 39-1, 157-164.
  71. Li X., Ouyang G. and Liang Z. (2008)., Complexity Measure of Motor Current Signals for Tool Flute Breakage Detection In End Milling., International Journal of Machine Tools and Manufacture, 48, 371-379.
  72. Schofield S. and Wright P. (1998)., Open Architecture Controllers for Machine Tools, Part 1: Design Principles., ASME Journal for Manufacturing Scientists and Engineers, 120, 417424.
  73. Koren Y. (1997)., Control of Machine Tools., ASME Journal for Manufacturing Scientists and Engineers, 119, 749755.