GH4175合金是新型难变形高温合金的典型代表，通过成分优化提升其高温单相区变形能力，是避免该合 金铸锭开坯过程中开裂的重要前提。综合利用相图热力学计算、高温拉伸实验及机器学习方法，通过成分设计空间逐层 筛选优化以及自适应学习策略， 获得了影响该合金800℃γ′相体积分数、γ′相完全溶解温度和合金初始液化温度的关 键元素，建立了上述元素含量与高温伸长率之间的关系模型，明确了在保证一定热加工温度窗口和800℃γ′相体积分 数的前提下，同时具备优异高温塑性的合金成分范围及微观组织特征。

The GH4175 alloy is a typical new difficult-to-deform superalloy. Optimizing its composition to enhance its deformation capability in the high-temperature single-phase region is a crucial prerequisite for preventing cracking during the cogging process of this alloy. By combining thermodynamic calculations, high-temperature tensile experiments, and machine learning methods, the composition of GH4175 was optimized. The key compositional elements that influence the γ′ phase volume fraction at 800 ℃, the γ′ phase dissolution temperature, and the alloy melting temperature are identified via design space screening and adaptive learning strategies. A relationship model between the content of these elements and high-temperature elongation is established, clarifying the compositional range that ensures excellent high-temperature ductility while maintaining a reasonable processing window and γ′ phase volume fraction at 800 ℃.