Self-Sensing Tool Holder for In-Process Metrology of Cutting Force in Ultra-High-Precision Single-Point Diamond Turning Applications

Self-Sensing Tool Holder for In-Process Metrology of Cutting Force in Ultra-High-Precision Single-Point Diamond Turning Applications

Peter Babatunde Odedeyi Khaled Abou-El-Hossein Shahrokh Hatefi Funsho Oyekunle

Precision Engineering Laboratory, Department of Mechatronics, Nelson Mandela University, South Africa

Page: 
329-344
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DOI: 
https://doi.org/10.2495/CMEM-V10-N4-329-344
Received: 
N/A
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Revised: 
N/A
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Accepted: 
N/A
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Available online: 
N/A
| Citation

© 2022 IIETA. This article is published by IIETA and is licensed under the CC BY 4.0 license (http://creativecommons.org/licenses/by/4.0/).

OPEN ACCESS

Abstract: 

In turning processes, cutting force is of great importance since many cutting force features are useful for predicting and detecting tool conditions. To precisely measure cutting forces, many commercial devices have been developed; however, they are costly, cumbersome, and some implementation restrictions could hinder their suitability in real applications. In this work, a simple, portable, and low-cost tool holder sensor was designed and developed to sense strain and measure cutting force applied during ultra-precision diamond turning. The device can assess cutting intensity up to 3 N with a high sensitivity of 4.592 mV/N or 0.004592 V/N, a calibration test variability of 99.6%, and a percentage error of 2.19, according to static calibration testing.

Keywords: 

cutting force, force sensor, in-process metrology, single-point diamond turning, strain gauge

  References

[1] Mohanraj, T., Shankar, S., Rajasekar, R. & Uddin, M., Design, development, calibration,  and testing of indigenously developed strain gauge based dynamometer for cutting force measurement in the milling process. Journal of Mechanical Engineering and Sciences, 14, pp. 6594–6609, 2020. https://doi.org/10.15282/jmes.14.2.2020.05.0517

[2] Wang, J., Zuo, J., Shang, Z., Fan, X., Modeling of cutting force prediction in machining high-volume SiCp/Al composites. Applied Mathematical Modelling, 70, pp. 1–17, 2019. https://doi.org/10.1016/j.apm.2019.01.015

[3] Sawangsri, W. & Cheng, K., An innovative approach to cutting force modelling in diamond turning and its correlation analysis with tool wear. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 230, pp. 405–415, 2016.

[4] Uquillas, D. A. R. & Yeh, S.-S., Tool holder sensor design for measuring the cutting force in CNC turning machines. In 2015 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), pp. 1218–1223, 2015.

[5] Ryabov, O., Kano, S., Sawada, H. & Herwan, J., Lathe machine as Industrie 4.0 Component (CPS). In 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), 2019, pp. 1656–1660.

[6] Lyu, Y., Jamil, M., He, N., Gupta, M. K. & Pimenov, D. Y., Development and testing of a high-frequency dynamometer for high-speed milling process. Machines, 9, p. 11, 2021. https://doi.org/10.3390/machines9010011

[7] Cus, F., Milfelner, M. & Balic, J., An intelligent system for monitoring and optimization of ball-end milling process. Journal of Materials Processing Technology, 175, pp. 90–97, 2006. https://doi.org/10.1016/j.jmatprotec.2005.04.041

[8] Mohanraj, T., Shankar, S., Rajasekar, R., Sakthivel, N. R. & Pramanik, A., Tool condition monitoring techniques in milling process—a review. Journal of Materials Research and Technology, 9, pp. 1032–1042, 2020. https://doi.org/10.1016/j.jmrt.2019.10.031

[9] Shankar, S., Mohanraj, T. & Rajasekar, R., Prediction of cutting tool wear during milling process using artificial intelligence techniques. International Journal of Computer Integrated Manufacturing, 32, pp. 174–182, 2019. https://doi.org/10.1080/0951192x. 2018.1550681

[10] SK, T. & Shankarm S., Tool wear prediction in hard turning of EN8 steel using cutting force and surface roughness with artificial neural network. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 234, pp. 329–342, 2020.

[11] Cheng, K., Niu, Z. C., Wang, R. C., Rakowski, R. & Bateman, R., Smart cutting tools and smart machining: development approaches, and their implementation and application perspectives. Chinese Journal of Mechanical Engineering, 30, pp. 1162–1176, 2017. https://doi.org/10.1007/s10033-017-0183-4

[12] Xiao, C., Ding, H., Cheng, K. & Chen, S., Design of an innovative smart turning tool with application to real-time cutting force measurement. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 229, pp. 563–568, 2015.

[13] Otieno, T. & Abou-El-Hossein, K., Cutting forces and acoustic emission in the diamond turning of rapidly-solidified aluminium. Insight-Non-Destructive Testing and Condition Monitoring, 60, pp. 11–18, 2018. https://doi.org/10.1784/insi.2018.60.1.11

[14] Byrne, G. & O’Donnell, G., An integrated force sensor solution for process monitoring of drilling operations. CIRP annals, 56, pp. 89–92, 2007. https://doi.org/10.1016/j. cirp.2007.05.023

[15] Bretz, A., Abele, E. & Weigold, M., Measuring the bore straightness during reaming with sensoric tools. Production Engineering, 14, pp. 535–544, 2020. https://doi. org/10.1007/s11740-020-00977-6

[16] Totis, G., Wirtz, G., Sortino, M., Veselovac, D., Kuljanic, E. & Klocke, F., Development of a dynamometer for measuring individual cutting edge forces in face milling. Mechanical Systems and Signal Processing, 24, pp. 1844–1857, 2010. https://doi. org/10.1016/j.ymssp.2010.02.010

[17] Ma, L., Melkote, S. N., Morehouse, J. B., Castle, J. B., Fonda, J. W. & Johnson, M. A., Thin-film PVDF sensor-based monitoring of cutting forces in peripheral end milling. Journal of Dynamic Systems, Measurement, and Control, 134, 2012.

[18] Ma, L., Melkote, S. N. & Castle, J. B., PVDF sensor-based monitoring of milling torque. The International Journal of Advanced Manufacturing Technology, 70, pp. 1603–1614, 2014. https://doi.org/10.1007/s00170-013-5410-2

[19] Albrecht, A., Park, S. S., Altintas, Y. & Pritschow, G., High frequency bandwidth cutting force measurement in milling using capacitance displacement sensors. International Journal of Machine Tools and Manufacture, 45, pp. 993–1008, 2005. https://doi. org/10.1016/j.ijmachtools.2004.11.028

[20] Guo, K., Zhao, Y., Zan, Z. & Sun, J., Development and testing of a wireless rotating triaxial vibration measuring tool holder system for milling process. Measurement, p. 108034, 2020.

[21] Suprock, C. A. & Nichols, J. S., A low cost wireless high bandwidth transmitter for sensor-integrated metal cutting tools and process monitoring. International Journal of Mechatronics and Manufacturing Systems, 2, pp. 441–454, 2009. https://doi. org/10.1504/ijmms.2009.027128

[22] Nichols, J. S., Design and application of a wireless torque sensor for CNC milling. 2009.

[23] Silva, A. L., Varanis, M., Mereles, A. G., Oliveira, C. & Balthazar, J. M., A study of strain and deformation measurement using the Arduino microcontroller and strain gauges devices. Revista Brasileira de Ensino de Física, 41, 2018.

[24] Shaw, M., Metal cutting principles. Clarendon. ed: Oxford, 1984.

[25] Öztürk, E. & Yıldızlı, K., Measured cutting forces in the turning of prismatic parts at different spindle speeds and side cutting edge angles. Arabian Journal for Science and Engineering, 43, pp. 4635–4647, 2018. https://doi.org/10.1007/s13369-017-3002-4

[26] Silva, A. L., Varanis, M., Mereles, A. G., Oliveira, C. & Balthazar, J. M., A study of strain and deformation measurement using the Arduino microcontroller and strain gauges devices. Revista Brasileira de Ensino de Física, 41, 2019.

[27] Cheng, Y.-C., Hsu, W.-Y., Abou-El-Hossein, K., Olufayo, O. & Otieno, T., Investigation of diamond turning: of rapidly solidified aluminum alloys. Current Developments in Lens Design and Optical Engineering XV, p. 919214, 2014.

[28] Cheng, Y.-C., Hsu, W.-Y., Kuo, C.-H., Abou-El-Hossein, K. & Otieno, T., Investigation of rapidly solidified aluminum by using diamond turning and a magnetorheological finishing process. in Optical Manufacturing and Testing XI, p. 957519, 2015.

[29] Otieno, T., The machinability of rapidly solidified aluminium alloy for optical mould inserts. Nelson Mandela University, 2018.

[30] Shalaby, M., El Hakim, M., Veldhuis, S. & Dosbaeva, G., An investigation into the behavior of the cutting forces in precision turning. The International Journal of Advanced Manufacturing Technology, 90, pp. 1605–1615, 2017. https://doi.org/10.1007/s00170-016-9465-8

[31] Qian, L. & Hossan, M. R., Effect on cutting force in turning hardened tool steels with cubic boron nitride inserts. Journal of Materials Processing Technology, 191, pp. 274–278, 2007. https://doi.org/10.1016/j.jmatprotec.2007.03.022

[32] Liman, M. M. & Abou-El-Hossein, K., Modeling and multiresponse optimization of cutting parameters in SPDT of a rigid contact lens polymer using RSM and desirability function. The International Journal of Advanced Manufacturing Technology, 102, pp. 1443–1465, 2019. https://doi.org/10.1007/s00170-018-3169-1

[33] Singh, K., Vaishya, R. O., Singh, H., Mishra, V. & Ramagopal, S., Investigation of tool life & surface roughness during single point diamond turning of silicon. International Journal of Scientific Research, 2, pp. 265–267, 2013. https://doi.org/10.15373/22778179/june2013/84

[34] Luo, X., Cheng, K., Guo, X. & Holt, R., An investigation on the mechanics of nanometric cutting and the development of its test-bed. International Journal of Production Research, 41, pp. 1449–1465, 2003. https://doi.org/10.1080/0020754031000069607

[35] Valera, H. Y. & Bhavsar, S. N., Experimental investigation of surface roughness and power consumption in turning operation of EN 31 alloy steel. Procedia Technology, 14, pp. 528–534, 2014.

[36] Abdulkadir, L. N., Abou-El-Hossein, K., Jumare, A. I., Odedeyi, P. B., Liman, M. M. & Olaniyan, T. A., Ultra-precision diamond turning of optical silicon—a review. The International Journal of Advanced Manufacturing Technology, 96, pp. 173–208, 2018. https://doi.org/10.1007/s00170-017-1529-x