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<p>Single-crystal superalloys are widely used in aerospace and other fields, and surface recrystallization can significantly affect their service performance. The recrystallization behavior is influenced by many factors in actual production, making it difficult to accurately control the degree of recrystallization. Exploring the mechanism of the factors affecting the recrystallization of IC21 alloy is crucial for optimizing its preparation process and improving the service performance. In this paper, based on the sand blasting predeformation and thermal exposure experiments, a semi-empirical model optimized by theoretical derivation combined with genetic algorithm is proposed to analyze the effects of thermal exposure temperature, holding time, sandblasting pressure and sandblasting time on the recrystallization depth of Ni<sub>3</sub>Al-based superalloys. This method, with an average relative error of 9.84 pct and high accuracy, can effectively illustrate the complex effects of these factors. This finding provides an important reference for performance prediction and process optimization of single-crystal superalloys.</p>

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Prediction of Recrystallization Depth in Ni3Al-Based Single-Crystal Superalloys Using a Semi-Empirical Model Optimized by Genetic Algorithm

  • 期刊论文

  • 发表日期：

    2026年4月17日

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  • Liwu Jiang,
  • Dongxu Kou,
  • Xu Wang,
  • Xintian Wang

摘要

Single-crystal superalloys are widely used in aerospace and other fields, and surface recrystallization can significantly affect their service performance. The recrystallization behavior is influenced by many factors in actual production, making it difficult to accurately control the degree of recrystallization. Exploring the mechanism of the factors affecting the recrystallization of IC21 alloy is crucial for optimizing its preparation process and improving the service performance. In this paper, based on the sand blasting predeformation and thermal exposure experiments, a semi-empirical model optimized by theoretical derivation combined with genetic algorithm is proposed to analyze the effects of thermal exposure temperature, holding time, sandblasting pressure and sandblasting time on the recrystallization depth of Ni3Al-based superalloys. This method, with an average relative error of 9.84 pct and high accuracy, can effectively illustrate the complex effects of these factors. This finding provides an important reference for performance prediction and process optimization of single-crystal superalloys.