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Design of Electro-optical Vibrometer for On-Machine Metrology in Hybrid Single-Point Diamond Turning

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Abstract

Single-point diamond turning (SPDT) is a machining process with high levels of profile accuracy and nanometric surface characteristics. SPDT is a leading technology in advanced manufacturing of ultra-precision optical components for critical applications. Different efforts have been undertaken to improve the cutting condition and optimize the machining parameters during SPDT. The implementation of on-machine metrology system (OMMS) has helped to improve the outcomes of SPDT in terms of machined profile accuracy and understand the effects of various processing parameters on optical surface generation. OMMS could be implemented in the hybrid SPDT platforms to effectively improve machining conditions by measuring and diagnosing, and providing testing procedures. Different sensors and principles have been used in the design and development of OMMS including laser-based optical systems. However, measuring the micrometric and nanometric parameters during diamond cutting is difficult to achieve at relatively low resolutions. The purpose of this study is to design and simulate an electro-optical vibrometer (EOV) for measuring machine-tool and workpiece vibration during the SPDT process. The proposed EOV has the capability of measuring, monitoring, and analyzing the vibration characteristics in different machining conditions. In addition, the designed system can communicate with the main control units of the hybrid SPDT platforms. Design specifications and simulation results have shown that the implemented mechanism is functional and has met requirements for a successful profiling vibrometry system that can be employed on SPDT machines.

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References

  1. V. Jain, A. Sidpara, R. Balasubramaniam, G. Lodha, V. Dhamgaye, and R. Shukla, “Micromanufacturing: a review—part I,” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, vol. 228, no. 9, pp. 973-994, 2014.

    Article  Google Scholar 

  2. Y. Ito and T. Matsumura, Theory and Practice in Machining Systems. Springer, 2017.

  3. K. Gupta, Advanced Manufacturing Technologies. Springer, 2017.

  4. X. Sun and K. Cheng, “Chapter 2 - Micro-/Nano-machining through Mechanical Cutting A2 - Qin, Yi,” in Micromanufacturing Engineering and Technology (Second Edition)Boston: William Andrew Publishing, 2015, pp. 35-59.

  5. R. Balasubramaniam, R. V. Sarepaka, and S. Subbiah, Diamond turn machining: Theory and practice. CRC Press, 2017.

  6. S. Hatefi, O. Ghahraei, and B. Bahraminejad, “Design and Development of a Novel Multi-Axis Automatic Controller for Improving Accuracy in CNC Applications,” Majlesi Journal of Electrical Engineering, vol. 11, no. 1, p. 19, 2017.

    Google Scholar 

  7. S. Hatefi, O. Ghahraei, and B. Bahraminejad, “Design and Development of a Novel CNC Controller for Improving Machining Speed,” Majlesi Journal of Electrical Engineering, vol. 10, no. 1, 2016.

  8. D. W. K. Neo, Ultraprecision Machining of Hybrid Freeform Surfaces Using Multiple-Axis Diamond Turning. Springer, 2017.

  9. D. A. Stephenson and J. S. Agapiou, Metal cutting theory and practice. CRC press, 2016.

  10. S. Hatefi and K. Abou-El-Hossein, “Review of single-point diamond turning process in terms of ultra-precision optical surface roughness,” The International Journal of Advanced Manufacturing Technology, vol. 106, no. 5, pp. 2167-2187, 2020/01/01 2020.

  11. X. Liu, D. Wu, and J. Zhang, “Fabrication of micro-textured surface using feed-direction ultrasonic vibration-assisted turning,” The International Journal of Advanced Manufacturing Technology, vol. 97, no. 9-12, pp. 3849-3857, 2018.

    Article  Google Scholar 

  12. F. Jiao, Y. Niu, and M.-J. Zhang, “Prediction of machining dimension in laser heating and ultrasonic vibration composite assisted cutting of tungsten carbide,” Journal of Advanced Manufacturing Systems, vol. 17, no. 01, pp. 35-45, 2018.

    Article  Google Scholar 

  13. S. Amini, M. Khosrojerdi, and R. Nosouhi, “Elliptical ultrasonic–assisted turning tool with longitudinal and bending vibration modes,” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, vol. 231, no. 8, pp. 1389-1395, 2017.

    Article  Google Scholar 

  14. V. Sharma and P. M. Pandey, “Optimization of machining and vibration parameters for residual stresses minimization in ultrasonic assisted turning of 4340 hardened steel,” Ultrasonics, vol. 70, pp. 172-182, 2016.

    Article  Google Scholar 

  15. S. Amini, H. N. Hosseinabadi, and S. Sajjady, “Experimental study on effect of micro textured surfaces generated by ultrasonic vibration assisted face turning on friction and wear performance,” Applied Surface Science, vol. 390, pp. 633-648, 2016.

    Article  ADS  Google Scholar 

  16. Q. Wang, Y. Wu, J. Gu, D. Lu, Y. Ji, and M. Nomura, “Fundamental machining characteristics of the in-base-plane ultrasonic elliptical vibration assisted turning of inconel 718,” Procedia CIRP, vol. 42, pp. 858-862, 2016.

    Article  Google Scholar 

  17. S. Sajjady, H. N. H. Abadi, S. Amini, and R. Nosouhi, “Analytical and experimental study of topography of surface texture in ultrasonic vibration assisted turning,” Materials & Design, vol. 93, pp. 311-323, 2016.

    Article  Google Scholar 

  18. P. Zou, Y. Xu, Y. He, M. Chen, and H. Wu, “Experimental investigation of ultrasonic vibration assisted turning of 304 austenitic stainless steel,” Shock and Vibration, vol. 2015, 2015.

  19. K. Vivekananda, G. Arka, and S. Sahoo, “Finite element analysis and process parameters optimization of ultrasonic vibration assisted turning (UVT),” Procedia materials science, vol. 6, pp. 1906-1914, 2014.

    Article  Google Scholar 

  20. S. Bhowmik and D. Zindani, “Overview of Hybrid Micro-manufacturing Processes,” in Hybrid Micro-Machining Processes: Springer, 2019, pp. 1-12.

  21. G. Guerrini, A. H. Lutey, S. N. Melkote, and A. Fortunato, “High throughput hybrid laser assisted machining of sintered reaction bonded silicon nitride,” Journal of Materials Processing Technology, vol. 252, pp. 628-635, 2018.

    Article  Google Scholar 

  22. X. Luo and Y. Qin, Hybrid machining: theory, methods, and case studies. London [etc.]: Academic Press, 2018.

  23. S. Hatefi and K. Abou-El-Hossein, “Review of hybrid methods and advanced technologies for in-process metrology in ultra-high-precision single-point diamond turning,” The International Journal of Advanced Manufacturing Technology, vol. 111, no. 1, pp. 427-447, 2020/11/01 2020.

  24. S. Hatefi and K. Abou-El-Hossein, “Review of non-conventional technologies for assisting ultra-precision single-point diamond turning,” The International Journal of Advanced Manufacturing Technology, vol. 111, no. 9, pp. 2667-2685, 2020/12/01 2020.

  25. D. Li, X. Jiang, Z. Tong, and L. Blunt, “Kinematics error compensation for a surface measurement probe on an ultra-precision turning machine,” Micromachines, vol. 9, no. 7, p. 334, 2018.

    Article  Google Scholar 

  26. D. Li, B. Wang, Z. Qiao, and X. Jiang, “Ultraprecision machining of microlens arrays with integrated on-machine surface metrology,” Optics express, vol. 27, no. 1, pp. 212-224, 2019.

    Article  ADS  Google Scholar 

  27. M. Moretti, G. Gambucci, R. Leach, and N. Senin, “Assessment of surface topography modifications through feature-based registration of areal topography data,” Surface Topography: Metrology and Properties, vol. 7, no. 2, p. 025003, 2019.

    ADS  Google Scholar 

  28. W. Gao, H. Haitjema, F.Z. Fang, R.K. Leach, C.F. Cheung, E. Savio and J.M. Linares, “On-machine and in-process surface metrology for precision manufacturing,” Ann. CIRP, vol. 68, 2019.

  29. J.R. Troutman, D.L. Barnhardt, J.A. Shultz, J.D. Owen, S. DeFisher, M.A. Davies, and T.J. Suleski, “Machining and metrology of a chalcogenide glass freeform lens pair,” Procedia Manufacturing, vol. 5, pp. 669-683, 2016.

  30. Y. Qin, Micromanufacturing engineering and technology. William Andrew, 2010.

  31. V. K. Jain, Micromanufacturing processes. CRC press, 2012.

  32. M. P. Groover, Fundamentals of modern manufacturing: materials processes, and systems. John Wiley & Sons, 2007.

  33. L. Zeqin, W. Sujuan, C. Xindu, T. Suet, Y. Ziqiang, and L. Junhui, “Modeling and prediction of surface topography with three tool-work vibration components in single-point diamond turning,” The International Journal of Advanced Manufacturing Technology, vol. 98, no. 5-8, pp. 1627-1639, 2018.

    Article  Google Scholar 

  34. H. Razavi, M. Nategh, and A. Abdullah, “Analytical modeling and experimental investigation of ultrasonic-vibration assisted oblique turning, part III: Experimental investigation,” International Journal of Mechanical Sciences, vol. 63, no. 1, pp. 26-36, 2012.

    Article  Google Scholar 

  35. W.-L. Zhu, S. Yang, B.-F. Ju, J. Jiang, and A. Sun, “Scanning tunneling microscopy-based on-machine measurement for diamond fly cutting of micro-structured surfaces,” Precision Engineering, vol. 43, pp. 308-314, 2016.

    Article  Google Scholar 

  36. Y.-L. Chen, Y. Cai, Y. Shimizu, S. Ito, W. Gao, and B.-F. Ju, “On-machine measurement of microtool wear and cutting edge chipping by using a diamond edge artifact,” Precision Engineering, vol. 43, pp. 462-467, 2016.

    Article  Google Scholar 

  37. C. Zhao, C. Cheung, and M. Liu, “Integrated polar microstructure and template-matching method for optical position measurement,” Optics express, vol. 26, no. 4, pp. 4330-4345, 2018.

    Article  ADS  Google Scholar 

  38. W.-L. Zhu, Z. Zhu, M. Ren, K. F. Ehmann, and B.-F. Ju, “Modeling and analysis of uncertainty in on-machine form characterization of diamond-machined optical micro-structured surfaces,” Measurement Science and Technology, vol. 27, no. 12, p. 125017, 2016.

    Article  ADS  Google Scholar 

  39. G. Maculotti, X. Feng, R. Su, M. Galetto, and R. K. Leach, “Residual flatness and scale calibration for a point autofocus surface topography measuring instrument,” Measurement Science and Technology, 2019.

  40. J. Wang, R. Su, R. Leach, W. Lu, L. Zhou, and X. Jiang, “Resolution enhancement for topography measurement of high-dynamic-range surfaces via image fusion,” Optics express, vol. 26, no. 26, pp. 34805-34819, 2018.

    Article  ADS  Google Scholar 

  41. J. Williamson, H. Martin, and X. Jiang, “High resolution position measurement from dispersed reference interferometry using template matching,” Optics express, vol. 24, no. 9, pp. 10103-10114, 2016.

    Article  ADS  Google Scholar 

  42. D. Li, Z. Tong, X. Jiang, L. Blunt, and F. Gao, “Calibration of an interferometric on-machine probing system on an ultra-precision turning machine,” Measurement, vol. 118, pp. 96-104, 2018.

    Article  ADS  Google Scholar 

  43. X. Li, Z. Zhang, H. Hu, Y. Li, L. Xiong, X. Zhang, and J. Yan, “Noncontact on-machine measurement system based on capacitive displacement sensors for single-point diamond turning,” Optical Engineering, vol. 57, no. 4, p. 044105, 2018.

  44. F. Xu, F. Fang, and X. Zhang, “Effects of recovery and side flow on surface generation in nano-cutting of single crystal silicon,” Computational Materials Science, vol. 143, pp. 133-142, 2018.

    Article  Google Scholar 

  45. X. Yue, M. Xu, W. Du, and C. Chu, “Effect of cutting edge radius on surface roughness in diamond tool turning of transparent MgAl2O4 spinel ceramic,” Optical Materials, vol. 71, pp. 129-135, 2017.

    Article  ADS  Google Scholar 

  46. M. Tauhiduzzaman and S. Veldhuis, “Effect of material microstructure and tool geometry on surface generation in single point diamond turning,” Precision Engineering, vol. 38, no. 3, pp. 481-491, 2014.

    Article  Google Scholar 

  47. S. Zhang, S. To, C. Cheung, and Y. Zhu, “Micro-structural changes of Zn–Al alloy influencing micro-topographical surface in micro-cutting,” The International Journal of Advanced Manufacturing Technology, vol. 72, no. 1-4, pp. 9-15, 2014.

    Article  Google Scholar 

  48. S. Zhang, S. To, C. Cheung, and H. Wang, “Dynamic characteristics of an aerostatic bearing spindle and its influence on surface topography in ultra-precision diamond turning,” International Journal of Machine Tools and Manufacture, vol. 62, pp. 1-12, 2012.

    Article  ADS  Google Scholar 

  49. H. Wang, S. To, C. Chan, C. Cheung, and W. Lee, “A theoretical and experimental investigation of the tool-tip vibration and its influence upon surface generation in single-point diamond turning,” International Journal of Machine Tools and Manufacture, vol. 50, no. 3, pp. 241-252, 2010.

    Article  Google Scholar 

  50. H. Wang, S. To, C. Chan, C. Cheung, and W. Lee, “Dynamic modelling of shear band formation and tool-tip vibration in ultra-precision diamond turning,” International Journal of Machine Tools and Manufacture, vol. 51, no. 6, pp. 512-519, 2011.

    Article  Google Scholar 

  51. H. Wang, S. To, and C. Chan, “Investigation on the influence of tool-tip vibration on surface roughness and its representative measurement in ultra-precision diamond turning,” International Journal of Machine Tools and Manufacture, vol. 69, pp. 20-29, 2013.

    Article  Google Scholar 

  52. S. Zhang, S. To, and H. Wang, “A theoretical and experimental investigation into five-DOF dynamic characteristics of an aerostatic bearing spindle in ultra-precision diamond turning,” International Journal of Machine Tools and Manufacture, vol. 71, pp. 1-10, 2013.

    Article  ADS  Google Scholar 

  53. S. Zhang and S. To, “The effects of spindle vibration on surface generation in ultra-precision raster milling,” International Journal of Machine Tools and Manufacture, vol. 71, pp. 52-56, 2013.

    Article  Google Scholar 

  54. S. Zhang and S. To, “A theoretical and experimental study of surface generation under spindle vibration in ultra-precision raster milling,” International Journal of Machine Tools and Manufacture, vol. 75, pp. 36-45, 2013.

    Article  Google Scholar 

  55. C.-C. Wang, H.-T. Yau, M.-J. Jang, and Y.-L. Yeh, “Theoretical analysis of the non-linear behavior of a flexible rotor supported by herringbone grooved gas journal bearings,” Tribology international, vol. 40, no. 3, pp. 533-541, 2007.

    Article  Google Scholar 

  56. C.-C. Wang, “Theoretical and nonlinear behavior analysis of a flexible rotor supported by a relative short herringbone-grooved gas journal-bearing system,” Physica D: Nonlinear Phenomena, vol. 237, no. 18, pp. 2282-2295, 2008.

    Article  ADS  MathSciNet  MATH  Google Scholar 

  57. C.-C. Wang and H.-T. Yau, “Theoretical analysis of high speed spindle air bearings by a hybrid numerical method,” Applied Mathematics and Computation, vol. 217, no. 5, pp. 2084-2096, 2010.

    Article  MathSciNet  MATH  Google Scholar 

  58. S. Hatefi and K. Abou-El-Hossein, “Feasibility Study on Design and Development of a Hybrid Controller for Ultra-Precision Single-Point Diamond Turning,” Majlesi Journal of Electrical Engineering, vol. 13, no. 2, pp. 121-128, 2019.

    Google Scholar 

  59. S. Hatefi and K. Abou-El-Hossein, “Design and Development of High-Precision Hybrid Controller for Ultra-Precision Non-Conventional Single-Point Diamond Turning Processes,” Majlesi Journal of Electrical Engineering, vol. 14, no. 2, pp. 61-70, 2020.

    Google Scholar 

  60. S. Hatefi, M. Etemadi Sh, Y. Yihun, R. Mansouri, and A. Akhlaghi, “Continuous distraction osteogenesis device with MAAC controller for mandibular reconstruction applications,” BioMedical Engineering OnLine, journal article vol. 18, no. 1, p. 43, April 08 2019.

  61. H.-J. von Martens, A. Täubner, W. Wabinski, A. Link, and H.-J. Schlaak, “Traceability of vibration and shock measurements by laser interferometry,” Measurement, vol. 28, no. 1, pp. 3-20, 2000.

    Article  ADS  Google Scholar 

  62. H.-J. von Martens, “Invited Article: Expanded and improved traceability of vibration measurements by laser interferometry,” Review of Scientific Instruments, vol. 84, no. 12, p. 181, 2013.

    Google Scholar 

  63. H.-J. von Martens, “Current state and trends of ensuring traceability for vibration and shock measurements,” Metrologia, vol. 36, no. 4, p. 357, 1999.

    Article  ADS  Google Scholar 

  64. D. Hermawanto, M.R. Palupi, D. Rusjadi, N.R. Prasasti, B. Dwisetyo, C.C. Putri, and H.A. Akil, “Measurement traceability of acoustics and vibration instruments in Indonesia,” in J. Phys. Conf. Ser, 2018, vol. 1075, p. 012052. IOP Publishing.

  65. N. Garg and B. Chauhan, “Measurement Uncertainty in Vibration Calibration in Frequency Range of 5 Hz to 10 kHz,” MAPAN, vol. 35, no. 3, pp. 397-405, 2020.

    Article  Google Scholar 

  66. M. Sosin, H. M. Durand, V. Rude, and J. Rutkowski, “Impact of vibrations and reflector movements on the measurement uncertainty of Fourier-based frequency sweeping interferometry,” in Photonic Instrumentation Engineering VII, 2020, vol. 11287, p. 112871L: International Society for Optics and Photonics.

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Authors would like to thank Nelson Mandela University and National Research Foundation (NRF) of South Africa for their support of this research.

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Correspondence to Shahrokh Hatefi.

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Hatefi, S., Abou-El-Hossein, K. Design of Electro-optical Vibrometer for On-Machine Metrology in Hybrid Single-Point Diamond Turning. MAPAN 36, 365–376 (2021). https://doi.org/10.1007/s12647-021-00430-8

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