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January 14, 2026The International Journal of Advanced Manufacturing Technology2 citations

Enhancing machinability of GTD-450 alloy: a comparative study on tool wear and surface roughness under MQL, Al₂O₃-nanofluid MQL, and ZnO-nanofluid MQL conditions

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ABAbolfzal Mostaghim BakhshayeshHDHamidreza MohammadAli DastgerdiMSMasoud Saberi

Key Points

  • The study aims to enhance the machinability of GTD-450 alloy through various lubrication techniques.
  • Conducted face milling on GTD-450 using MQL, Al₂O₃-NMQL, and ZnO-NMQL techniques.
  • Assessed tool wear size and average surface roughness (Ra) under different lubrication methods.
  • Performed multi-response optimization using a desirability function to determine optimal machining parameters.
  • ZnO-NMQL reduced tool wear by 15.48% and surface roughness by 6.05% compared to classical MQL.
  • Al₂O₃-NMQL achieved a 10% reduction in tool wear and improved surface quality by 4.8%.
  • Nanofluids, especially ZnO, significantly minimized Built-Up Edge (BUE) formation.

Abstract

The machinability of high-strength alloys, such as GTD-450, is noted for its severe difficulties, including higher tool wear and a poor surface finish, necessitating sophisticated, environmentally friendly lubrication techniques and the adequate selection of cutting parameters. Among high-resistant superalloys, limited work has been reported on the machining of GTD-450, particularly on the use of different lubrication strategies, lubricants, and nanoparticles. Therefore, in the course of this work, face milling of the GTD-450 was conducted using three different lubrication techniques: conventional Minimum Quantity Lubrication (MQL), MQL with added Al₂O₃ nanoparticles (Al₂O₃-NMQL), and MQL with added ZnO nanoparticles (ZnO-NMQL). A comparative assessment of tool wear size and average surface roughness (Ra) was conducted. The findings have revealed a significant dominance of nanofluid-based MQL over the conventional practice of classical MQL. In particular, ZnO-NMQL has been established as an optimal performing technique, reducing tool wear by an average of 15.48% and Ra by an average of 6.05% compared to the classical MQL-based technique. The Al₂O₃-NMQL technique has also achieved significant reductions, with tool wear reduced by 10% and surface quality improved by an average of 4.8%. The use of nanofluids, particularly ZnO, has proven significantly effective in minimizing Built-Up Edge (BUE) formation. At the final stage, multi-response optimization using a desirability function approach was conducted, yielding optimal machining parameters. The findings establish that ZnO-nanofluid MQL is an efficient and environmentally friendly approach for enhancing the machinability of GTD-450 steel, representing a promising step toward improved tool life and a better surface finish in practical cutting conditions.

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Cite This Study

Bakhshayesh et al. (2026) studied this question.

synapsesocial.com/papers/6966f5183603a7c209c0e1f5https://doi.org/10.1007/s00170-025-17192-1
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