Skip to main content
SpringerLink
Log in

Experimental Study of the Vibration Level Resulting from Supra50 Milling

  • Conference paper
  • First Online:
Design and Modeling of Mechanical Systems - V (CMSM 2021)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Included in the following conference series:

Abstract

Surface finish is influenced by two major combined factors: tool wear and cutting parameters. In order to conduct optimization trials by varying cutting parameters, it is important to evaluate the influence of tool wear on the surface finish. An experimental approach is designed to conduct a series of milling operations and to monitor the vibration levels in three directions to detect the tool wear vibratory impact on resulting surface finish. A low vibration level recorded thanks to a specific accelerometers’ setup would suggest that the obtained surface finishes depend only on the cutting conditions and would allow to suppress the influence of the tool wear if it turns out to be negligible. This method will enable to analyze the surface characteristics, after the elimination of the tool wear factor, by focusing only on a set of cutting conditions as input. Vibration signals measured while machining Supra50 parts showed insignificant amplitudes, proving that the surface finish only depends on cutting conditions and confirming that both of the influencing factors are decoupled. Vibratory signals were compared for three different solid carbide end mills using RMS indicator on three stages of the protocol. The vibratory fluctuations can be neglected reinforcing the dissociation hypothesis.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Tayal, A., Kalsi, N.S., Gupta, M.K.: Machining of superalloys: a review on machining parameters, cutting tools, and cooling methods. Proc. Mater. Today 43(4), 1839–1849 (2020)

    Google Scholar 

  2. Coromant, S.: Heat resistant super alloys – HRSA, pp. 9–42 (2010)

    Google Scholar 

  3. Xu, K., Zou, B., Huang, C., Yao, Y., Zhou, H., Liu, Z.: Machinability of Hastelloy C-276 using hot-pressed sintered Ti based cermet cutting tools. Chin. J. Mech. Eng. 28(3), 599–606 (2015)

    Article  Google Scholar 

  4. Sai Krishnan, G., Ganesh Babu, L., Kumaran, P., Yoganjaneyulu, G., Sudhan Raj, J.: Investigation of Caryota urens fibers on physical, chemical, mechanical and tribological properties for brake pad applications. Mater. Res. Express 7(1), 015310 (2019)

    Article  Google Scholar 

  5. Choudhury, S.K., Srinivas, P.: Tool wear prediction in turning. J. Mater. Process. Technol. 153–154, 276–280 (2004)

    Article  Google Scholar 

  6. Horng, J.T., Tsong, J., Liu, N., Chiang, K.: Investigating the machinability evaluation of hadfield steel in the hard turning with AL2O3/TiC mixed ceramic tool based on the response surface methodology. J. Mater. Process. Technol. 208, 532–541 (2008)

    Article  Google Scholar 

  7. Mansour, A., Abdalla, H.: Surface roughness prediction based on cutting parameters and tool vibrations in turning operations. J. Mater. Process. Technol. 124, 183–191 (2002)

    Article  Google Scholar 

  8. Zhou, J.M., Andersson, M., Stähl, J.E.: A system for monitoring cutting tool spontaneous failure based on stress estimation. J. Mater. Process. Technol. 48, 231 (1995)

    Article  Google Scholar 

  9. Balasubramanian, V., Lakshminarayanan, A.K.: Comparison of RSM with ANN in predicting tensile strength of friction stir welded AA7039 aluminium alloy joints. Trans. Nonferr. Metals Soc. China 19, 9–18 (2009)

    Article  Google Scholar 

  10. Sharif, S., Azlan Mohd, Z., Habibollah, H.: Prediction of surface roughness in the end milling machining using artificial neural network. Expert Syst. Appl. 37, 1755–1768 (2010)

    Article  Google Scholar 

  11. Sahasrabudhe, A.D., Risbood, K.A., Dixit, U.S.: Prediction of surface roughness and dimensional deviation by measuring cutting forces and vibrations in turning process. J. Mater. Process. Technol. 132, 203–214 (2003)

    Article  Google Scholar 

  12. Goupy, J.: Pratiquer les plan d’expériences. Dunod, Paris (2005)

    Google Scholar 

  13. Tomassone, R., Audrain, S., Lesquoy, E., Miller, C.: La RĂ©gression, Nouveaux Regards sur une Ancienne MĂ©thode Statistique. INRA et MASSON, Paris (1992)

    MATH  Google Scholar 

  14. Jobson, J.D.: Applied Multivariate Data Analysis. Regression and Experimental Design, vol. 1. Springer, New York (1999). https://doi.org/10.1007/978-1-4612-0955-3

    Book  Google Scholar 

  15. Chankong, V., Haimes, Y.Y.: Multiobjective Decision Making Theory and Methodology. North-Holland, New York (1983)

    MATH  Google Scholar 

  16. Miettinen, K.: Nonlinear Multiobjective Optimization. Kluwer, Boston (1999)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Laboratory of Mechanical Engineering of Monastir, Ventana Mechanic Sousse, Sousse, Tunisia

    Ahmed Seifallah Frih

  2. Laboratory of Mechanical Engineering of Monastir, National School of Engineers of Monastir-University of Monastir, Monastir, Tunisia

    Ezzeddine Ftoutou, Ated Ben Khalifa, Imed Hajjaji & Moez Trigui

Authors
  1. Ahmed Seifallah Frih
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ezzeddine Ftoutou
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ated Ben Khalifa
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Imed Hajjaji
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Moez Trigui
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ahmed Seifallah Frih .

Editor information

Editors and Affiliations

  1. National School of Engineers of Sfax (ENIS), Sfax, Tunisia

    Lassaad Walha

  2. College of Engineering, Jeddah University, Sfax, Tunisia

    Abdessalem Jarraya

  3. École Nationale d'Ingénieurs de Gabès, Zrig Gabes, Tunisia

    Fathi Djemal

  4. National Engineering School of Monastir (ENIM), Monastir, Tunisia

    Mnaouar Chouchane

  5. National Engineering School of Monastir (ENIM), Monastir, Tunisia

    Nizar Aifaoui

  6. Department of Mechanical Engineering, National School of Engineers of Sfax (ENIS), Sfax, Tunisia

    Fakher Chaari

  7. Sfax Preparatory Engineering Institute, Sfax, Tunisia

    Moez Abdennadher

  8. National Engineering School of Monastir (ENIM), Monastir, Tunisia

    Abdelmajid Benamara

  9. National School of Engineers of Sfax (ENIS), Sfax, Tunisia

    Mohamed Haddar

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Frih, A.S., Ftoutou, E., Ben Khalifa, A., Hajjaji, I., Trigui, M. (2023). Experimental Study of the Vibration Level Resulting from Supra50 Milling. In: Walha, L., et al. Design and Modeling of Mechanical Systems - V. CMSM 2021. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-14615-2_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-14615-2_19

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-14614-5

  • Online ISBN: 978-3-031-14615-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation