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July 26, 2026SymmetryOpen Access

Multi-Objective Optimization of a High-Temperature Flange–Bolt–Gasket System Based on a Cyclic Symmetric Thermal–Structural Coupling Model

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Authors

HXHonghao XuPJPeigang JiaoCZChanghui Zheng

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Overview

Randomized trial investigates sealing reliability improvements in high-pressure flange systems, indicating enhanced performance and safety.

Key Points

  • This research aims to optimize the sealing reliability of high-temperature flange-bolt-gasket systems under varying thermal and structural conditions.
  • Developed a finite element model for a DN200 PN40 flange assembly using ANSYS Workbench.
  • Conducted multi-objective optimization using the non-dominated sorting genetic algorithm II (NSGA-II).
  • Performed sensitivity analysis and compared second-order response surface models with Kriging surrogate models.
  • Achieved an optimal bolt preload of 59,942 N and gasket width of 19 mm.
  • Increased minimum gasket contact pressure by 31.01% and reduced flange stress by 2.26%.
  • Confirmed model accuracy with mean absolute percentage error of 0.72% compared to experimental validation.

Cite This Study

Xu et al. (2026) studied this question.

synapsesocial.com/papers/6a65a422d3aea3239cd76e57https://doi.org/10.3390/sym18081252
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Also Consider

Synapse has enriched 2 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Influence of Sealing Surface Microstructure Characteristics on Flow Resistance and Leakage Between Contact Surfaces2025
  2. 2Multiobjective optimization of a pressure maintaining ball valve structure based on RSM and NSGA-II2025 · 35 citations