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<p>High mechanical and thermal stresses on gas turbine blades call for improved cooling for longevity and performance. Important for blade lifetime prediction, traditional steady-state studies sometimes fail to show time-dependent thermal and structural reactions during transient periods, such as start-up and shutdown. To solve these problems, this work presents a transient conjugate heat transfer (CHT) simulation of a Mark II gas turbine blade including internal cooling channels. The transient analysis couples ANSYS Mechanical structural evaluation with ANSYS Fluent fluid dynamics to resolve fluid–solid thermal interactions. Reynolds stress model baseline (RSM-BSL) faithfully forecasts the blade's transient temperature distribution and flow field and catches turbulence. The transient results show a non-uniform temperature distribution around the leading edge, trailing edge, and cooling holes. Film cooling lowers localized hot spots and thermal gradients according to a thorough investigation of internal cooling airflow and external hot gas flow. Within 10&#xa0;s of operation, the blade temperature field reaches a quasi-steady state and points out high thermal strain, deformation, and shear stress areas. These high stress concentrations point to cyclic thermal fatigue. The thermofluid-structural analysis maximizes blade lifetime, operational efficiency, and cooling designs. Transient CHT clarifies time-dependent thermal-structural behavior of turbine blades, guiding design optimization and durability evaluation, and stressing the need for further research in solving field challenges. This work presents a transient benchmarking analysis with thermomechanical reporting, building upon a previously validated steady-state RSM-BSL model for the Hylton Mark II configuration, which achieved an RMS error of approximately 4.27% compared to the Hylton #5411 data. In addition to time-resolved temperature fields, the study provides insights into transient strain, displacement, shear stress, and strain-energy density, pinpointing critical areas for potential design enhancement.</p>

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Transient conjugate heat transfer and thermomechanical numerical analysis of a Mark II gas turbine blade using CFD–FEA coupled simulations

  • 期刊论文

  • 发表日期：

    2025年10月5日

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  • Yasser Bazzi,
  • Saadat Zirak

摘要

High mechanical and thermal stresses on gas turbine blades call for improved cooling for longevity and performance. Important for blade lifetime prediction, traditional steady-state studies sometimes fail to show time-dependent thermal and structural reactions during transient periods, such as start-up and shutdown. To solve these problems, this work presents a transient conjugate heat transfer (CHT) simulation of a Mark II gas turbine blade including internal cooling channels. The transient analysis couples ANSYS Mechanical structural evaluation with ANSYS Fluent fluid dynamics to resolve fluid–solid thermal interactions. Reynolds stress model baseline (RSM-BSL) faithfully forecasts the blade's transient temperature distribution and flow field and catches turbulence. The transient results show a non-uniform temperature distribution around the leading edge, trailing edge, and cooling holes. Film cooling lowers localized hot spots and thermal gradients according to a thorough investigation of internal cooling airflow and external hot gas flow. Within 10 s of operation, the blade temperature field reaches a quasi-steady state and points out high thermal strain, deformation, and shear stress areas. These high stress concentrations point to cyclic thermal fatigue. The thermofluid-structural analysis maximizes blade lifetime, operational efficiency, and cooling designs. Transient CHT clarifies time-dependent thermal-structural behavior of turbine blades, guiding design optimization and durability evaluation, and stressing the need for further research in solving field challenges. This work presents a transient benchmarking analysis with thermomechanical reporting, building upon a previously validated steady-state RSM-BSL model for the Hylton Mark II configuration, which achieved an RMS error of approximately 4.27% compared to the Hylton #5411 data. In addition to time-resolved temperature fields, the study provides insights into transient strain, displacement, shear stress, and strain-energy density, pinpointing critical areas for potential design enhancement.