Machines. Technologies. Materials.
Vol. 19 (2025), Issue 11, pg(s) 439-442

TECHNOLOGIES

Investigation and optimization of the cutting parameters of an anti-vibration boring bar

  • 1 Technical University Sofia branch Plovdiv, Bulgaria
  • 2 Center of competence "Smart mechatronic, eco- and energy saving systems and technologies", Bulgarian Academy of Science, Sofia, Bulgaria

Abstract

The present study provides an experimental assessment and statistical optimization of the cutting parameters during boring operations performed with an TMD anti-vibration boring bar. A full factorial experiment was conducted, in which cutting speed and feed rate of machining were examined as the primary technological parameters affecting the resulting surface roughness when machining of DIN 42CrMo4 steel. Regression modelling and analysis of variance were applied to establish reliable functional relationships between the cutting parameters and the resulting surface quality. The focus is on identifying the factors that most strongly govern the process response, as well as on validating a model with high capability for process optimization and control. The study highlights the importance of understanding these dependencies when boring with anti-vibration boring bars and provides a robust methodological foundation that supports further development, optimization, and practical implementation.

Keywords

References

  1. Vachev A. A. Dependencies between the tool and working angles – alternatives to ISO 3002/2-1982 (E), // 8th International Conference on Advanced Machining Processes AMO'2008, ISSN 1313-4264, Kranevo, 2008.
  2. Vachev A. A. Material Cutting. Part 1: Geometrical and Technological Parameters of the Cutting Process. University of Plovdiv, 2000.
  3. Dikov A. Technology of Mechanical Engineering – General Course, ISBN 954334034X, Sofia, 2010.D.J. Whitehouse, Surfaces and Their Measurement (Elsevier, Oxford, 2002). DOI: 10.1016/B978-1-903996-01-0.X5000-2
  4. O.J. Zurita-Hurtado, V.C. Di Graci-Tiralongo, M.C. Capace-Aguirre, Rev. Fac. Ing. Univ. Antioquia 84, 55–59 (2017). DOI: 10.17533/udea.redin.n84a07
  5. N.S. Kumar, A. Shetty, A. Shetty, K. Ananth, H. Shetty, Procedia Eng. 38, 691–697 (2012). DOI: 10.1016/j.proeng.2012.06.087
  6. J.D. Thiele, S.N. Melkote, J. Mater. Process. Technol. 94, 216–226 (1999).
  7. W. Chen, Int. J. Mach. Tools Manuf. 40, 455–466 (2000).
  8. S.M. Darwish, J. Mater. Process. Technol. 97, 10–18 (2000).
  9. S. Dahbi, H. El Moussami, L. Ezzine, Xème Conférence Internationale: Conception et Production Intégrées (Tanger, 2015). URL: https://hal.archives-ouvertes.fr/hal-01260818
  10. M. Nurhaniza, M.K.A.M. Ariffin, F. Mustapha, B.T.H.T. Baharudin, Int. J. Manuf. Eng. 2016, 4680380 (2016). DOI: 10.1155/2016/4680380
  11. C. Rao, D. Rao, P. Srihari, Procedia Eng. 64, 1405–1415 (2013). DOI: 10.1016/j.proeng.2013.09.222
  12. https://www.huatecgroup.com/sale-8904-highly-sophisticatedinductance-sensor-surface-roughness-tester-srt6210-with-10mm-lcd.html посетена на 08.08.2025г.
  13. Sabev, Sabi & Bakarzhiev, Valeri & Kasabov, Plamen. (2023). The Effect of Feed Rate and Cutting Speed to Surface Roughness during hole boring of 32CrMoS4 with antivibration boring bar.

Article full text

Download PDF