Due to its excellent toughness and stiffness in cryogenic conditions, 9% nickel steel is applied to LNG storage facilities, and its usage is increasing as a result of changes in environmental regulations. A study was conducted on the development of a predictive model to optimize the laser welding process of 9% nickel steel, and two prediction models were developed using one hundred data points obtained through experiments. A global regression model used as a general prediction model and a modified regression model using the p-value of the analysis of variance were developed, and their prediction performance was compared. It was found that the modified regression model was superior to the global regression model in terms of predicting the bead shape, including parameters such as penetration depth, bead height, and area ratio.

中文翻译：

---

9％镍激光焊接的焊缝几何形状预测模型，第1部分：整体回归模型与修正回归模型

由于在低温条件下具有出色的韧性和刚度，因此将9％的镍钢用于LNG储存设施，并且由于环境法规的变化，其使用量也在增加。对预测模型的开发进行了研究，以优化9％镍钢的激光焊接工艺，并使用通过实验获得的一百个数据点开发了两个预测模型。用作一般预测模型的全局回归模型和使用p的修改后的回归模型开发了方差分析的-值，并比较了它们的预测性能。结果发现，在预测磁珠形状方面，修改后的回归模型优于全局回归模型，包括诸如渗透深度，磁珠高度和面积比之类的参数。