Li Xiaoqun, Hou Yaqing, Cai Weidong, Yu Hongyao, Wang Xuandong, Li Fafa, He Yazhou, He Dupeng, Zhang Hao
China Iron and Steel Research Institute Group, Beijing 100081, China.
Beijing CISRI-GAONA Materials & Technology Co., Ltd., Beijing 100081, China.
Materials (Basel). 2024 Aug 27;17(17):4225. doi: 10.3390/ma17174225.
This study utilized Fe, Co, Ni elemental powders alongside GH3230 pre-alloyed powder as raw materials, employing high-throughput additive manufacturing based on laser powder bed fusion in situ to alloying technology to fabricate the bulk samples library for GH3230 superalloy efficiently. A quantitative identification algorithm for detecting crack and hole defects in additive manufacturing samples was developed. The primary focus was to analyze the composition variations in specimens at varying Fe, Co, and Ni elemental compositions and their impact on crack formation. Experimental results demonstrated that increased laser power improved element distribution uniformity but it proved to be not significantly effective in reducing crack defects. Moreover, augmented Fe and Co alloying content could not eliminate these defects. However, elevated Ni content led to a decrease in the alloy's solidification cracking index and carbide reduction in solidification products. Notably, a significant reduction in cracks was observed when the Ni content of the alloy reached 63 wt.%, and these defects were nearly eliminated at 67 wt.% Ni content.
本研究以Fe、Co、Ni元素粉末以及GH3230预合金粉末为原料，采用基于激光粉末床熔合原位合金化技术的高通量增材制造方法，高效制备了GH3230高温合金的块状样品库。开发了一种用于检测增材制造样品中裂纹和孔洞缺陷的定量识别算法。主要重点是分析不同Fe、Co和Ni元素组成下试样的成分变化及其对裂纹形成的影响。实验结果表明，提高激光功率可改善元素分布均匀性，但在减少裂纹缺陷方面效果不显著。此外，增加Fe和Co的合金化含量并不能消除这些缺陷。然而，提高Ni含量会导致合金凝固裂纹指数降低以及凝固产物中碳化物减少。值得注意的是，当合金的Ni含量达到63 wt.%时，裂纹显著减少，而当Ni含量为67 wt.%时，这些缺陷几乎消除。
