Surrogate-assisted multi-objective optimization of leaf-vein textured journal bearings under thermohydrodynamic lubrication

Surface texturing can improve the thermohydrodynamic (THD) lubrication of journal bearings, yet THD benefits depend strongly on texture topology. This study proposes a symmetric leaf-vein (SLV) texture and evaluates its THD lubrication performance using a three-dimensional CFD-THD multiphase flow model, surrogate-assisted multi-objective optimization, and tribological experiments. Relative to the smooth surface, rectangular and herringbone textures, the SLV texture promotes lateral lubricant transport and hydrodynamic pressure build-up, leading to lower friction and a reduced maximum oil-film temperature T max under the investigated operating condition. A parametric study shows that localized texturing in the converging wedge maximizes the dimensionless load-carrying capacity (LCC) (up to +23.36% versus the smooth bearing), whereas full-coverage texturing most effectively suppresses T max (up to −2.77 K). An optimal dimensionless depth of h p ⁎ ≈1.0 is identified; deeper grooves intensify lubricant entrapment and vortex-related viscous dissipation, degrading LCC and causing a temperature rebound. For design optimization, a TabPFN surrogate is constructed to map key SLV parameters ( L ⁎ , D 1 ⁎ , h p ⁎ , θ ) to THD metrics (friction f , LCC, T max ) and is coupled with NSGA-II; an entropy-weighted TOPSIS method selects a representative optimum. Compared with the smooth bearing, the optimized SLV design reduces cavitation area and dimensionless friction by 23.02% and 19.3%, increases LCC by 14.2%, and lowers T max by 2.22 K. Experiments corroborate these trends, with the optimized texture reducing the coefficient of friction by up to 26.7% and the measured oil-film temperature by up to 4.3 K. • Systematic analysis of 3D CFD-THD model for leaf-vein textured journal bearing. • Leaf-vein texturing reduces COF/ T max by up to 18.6%/2.77 K vs. the smooth bearing. • TabPFN surrogate with NSGA-II enables efficient multi-objective optimization. • Optimized leaf-vein texture reduces COF 35.9% and lowers T max by 2.22 K. • Tribo-tests confirm COF decrease and up to 4.3 K lower oil-film temperature.

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Publication Details

Journal
Tribology International
Published
2026-03-13
DOI
https://doi.org/10.1016/j.triboint.2026.111936
Primary Topic
Tribology and Lubrication Engineering
Type
article
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article

Surrogate-assisted multi-objective optimization of leaf-vein textured journal bearings under thermohydrodynamic lubrication

Jiangang Yang, Hang Yin, Fan Guo, Jiawei Chen
Tribology International
Tribology and Lubrication Engineering
article

Surrogate-assisted multi-objective optimization of leaf-vein textured journal bearings under thermohydrodynamic lubrication

Jiangang Yang, Hang Yin, Fan Guo, Jiawei Chen
article en

Abstract

Surface texturing can improve the thermohydrodynamic (THD) lubrication of journal bearings, yet THD benefits depend strongly on texture topology. This study proposes a symmetric leaf-vein (SLV) texture and evaluates its THD lubrication performance using a three-dimensional CFD-THD multiphase flow model, surrogate-assisted multi-objective optimization, and tribological experiments. Relative to the smooth surface, rectangular and herringbone textures, the SLV texture promotes lateral lubricant transport and hydrodynamic pressure build-up, leading to lower friction and a reduced maximum oil-film temperature T max under the investigated operating condition. A parametric study shows that localized texturing in the converging wedge maximizes the dimensionless load-carrying capacity (LCC) (up to +23.36% versus the smooth bearing), whereas full-coverage texturing most effectively suppresses T max (up to −2.77 K). An optimal dimensionless depth of h p ⁎ ≈1.0 is identified; deeper grooves intensify lubricant entrapment and vortex-related viscous dissipation, degrading LCC and causing a temperature rebound. For design optimization, a TabPFN surrogate is constructed to map key SLV parameters ( L ⁎ , D 1 ⁎ , h p ⁎ , θ ) to THD metrics (friction f , LCC, T max ) and is coupled with NSGA-II; an entropy-weighted TOPSIS method selects a representative optimum. Compared with the smooth bearing, the optimized SLV design reduces cavitation area and dimensionless friction by 23.02% and 19.3%, increases LCC by 14.2%, and lowers T max by 2.22 K. Experiments corroborate these trends, with the optimized texture reducing the coefficient of friction by up to 26.7% and the measured oil-film temperature by up to 4.3 K. • Systematic analysis of 3D CFD-THD model for leaf-vein textured journal bearing. • Leaf-vein texturing reduces COF/ T max by up to 18.6%/2.77 K vs. the smooth bearing. • TabPFN surrogate with NSGA-II enables efficient multi-objective optimization. • Optimized leaf-vein texture reduces COF 35.9% and lowers T max by 2.22 K. • Tribo-tests confirm COF decrease and up to 4.3 K lower oil-film temperature.

Tribology InternationalVol. 220
Southeast University (BD), Southeast University (CN)
Zero hunger
Openalex Percentile: Top 25%
Tribology and Lubrication Engineering
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