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<p>This study introduces an integrated computational–analytical framework for enhancing gas turbine hydrodynamic bearing performance through a novel three-lobe profile design combined with fuzzy multi-criteria decision-making (MCDM) techniques. The research uniquely couples Computational Fluid Dynamics (CFD)-based unsteady k–ε turbulence modeling with Fuzzy TOPSIS and COPRAS methods to optimize bearing material selection. The 3D CFD model simulates lubricant flow at 1000–1400&#xa0;rpm and loads of 100–450&#xa0;N, considering variable dynamic viscosity (0.03–0.11&#xa0;Pa·s) and thermal effects. Results show that the three-lobe configuration achieves smoother pressure distribution, improved hydrodynamic film stability, and 14–18% higher load-carrying capacity compared to plain bearings. The temperature analysis reveals superior thermal resistance, maintaining lubricant integrity under elevated operating speeds. Fuzzy MCDM analysis identifies brass as the optimal bearing material due to its favorable combination of tensile strength, thermal conductivity, and cost-effectiveness. The integrated CFD–MCDM approach establishes a robust design methodology for improving the reliability and efficiency of high-speed turbomachinery bearings.</p> Graphical Abstract <p></p>

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Performance enhancement of gas turbine hydrodynamic bearings with lobe profile design

  • 期刊论文

  • 发表日期：

    2025年11月7日

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  • Nabarun Biswas,
  • S. Sivalingam,
  • Raman Kumar,
  • Jasgurpreet Singh Chohan,
  • V. Sandeep,
  • Ripendeep Singh,
  • Anupama Routray,
  • J. Jayaprabakar,
  • Yashwant Singh Bisht,
  • Biplab Bhattacharjee

摘要

This study introduces an integrated computational–analytical framework for enhancing gas turbine hydrodynamic bearing performance through a novel three-lobe profile design combined with fuzzy multi-criteria decision-making (MCDM) techniques. The research uniquely couples Computational Fluid Dynamics (CFD)-based unsteady k–ε turbulence modeling with Fuzzy TOPSIS and COPRAS methods to optimize bearing material selection. The 3D CFD model simulates lubricant flow at 1000–1400 rpm and loads of 100–450 N, considering variable dynamic viscosity (0.03–0.11 Pa·s) and thermal effects. Results show that the three-lobe configuration achieves smoother pressure distribution, improved hydrodynamic film stability, and 14–18% higher load-carrying capacity compared to plain bearings. The temperature analysis reveals superior thermal resistance, maintaining lubricant integrity under elevated operating speeds. Fuzzy MCDM analysis identifies brass as the optimal bearing material due to its favorable combination of tensile strength, thermal conductivity, and cost-effectiveness. The integrated CFD–MCDM approach establishes a robust design methodology for improving the reliability and efficiency of high-speed turbomachinery bearings.

Graphical Abstract