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Effects of graphene oxide nanofluids on cutting temperature and force in machining Ti-6Al-4V

  • Shuang Yi
  • Nan Li
  • Sachin Solanki
  • John Mo
  • Songlin DingEmail author
ORIGINAL ARTICLE
  • 16 Downloads

Abstract

The significant amount of heat and friction generated in machining Ti-6Al-4V affects the cutting performance and results in serious problems such as severe tool wear and poor surface quality. Graphene oxide (GO) nanoparticles have excellent thermal conductivity and high lubrication capability and have emerged as a promising solution to the heat and tribology issues. As an additive material, GO nanoparticles mixed in base fluids may lead to significant increase in thermal conductivity and lubrication capability, which in turn, could result in smaller cutting forces and lower cutting temperature in the cutting zone. This paper presents new models of using GO nanofluids in turning processes which can accurately predict the change in cutting temperature and cutting forces. The cutting temperature model was created by considering the thermal conductivity and specific heat of the GO nanofluids along with their heat transfer coefficient and friction coefficient, whereas the cutting force model was developed by taking into account friction, tool geometry and the friction coefficient associated with the thermal properties of nanofluids.

Keywords

Turning Graphene oxide Ti-6Al-4V Thermal conductivity Cutting force PCBN Modelling 

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Notes

Acknowledgements

The authors acknowledge the facilities, and the scientific and technical assistance of the RMIT Microscopy & Microanalysis Facility (RMMF), a linked laboratory of Microscopy Australia. The authors would like to thank Mr. Mark Overend of the Advance Manufacturing Lab for his help in the experiments. The authors’ special thanks go to CSC (China Scholarship Council) for the scholarship (CSC Student ID: 201608240004).

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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2019

Authors and Affiliations

  • Shuang Yi
    • 1
  • Nan Li
    • 1
  • Sachin Solanki
    • 1
  • John Mo
    • 1
  • Songlin Ding
    • 1
    Email author
  1. 1.School of EngineeringRMIT UniversityMelbourneAustralia

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