Wire Arc Additive Manufacturing (WAAM) has revolutionized the manufacturing paradigm for fabricating medium to large scale metallic parts featuring high buy-to-fly ratios such as aerospace components. As a promising technology for the manufacturing industry, it is necessary to develop an automated WAAM system with high efficiency and low labour cost. Generally, to achieve a fully intelligent WAAM system, the first step is to develop an intelligent weld bead modelling system which is able to provide users with appropriate welding parameters in terms of producing components with high accuracy. Knowledge from many disciplines, such as computer science, material engineering, mechanical engineering, and industrial system engineering, is advantageous to develop such an automated system. Thus, an intelligent bead modelling system was developed by integrating a number of industrial sectors in this study. The bead modelling system includes three critical modules, including data generation module, model creation module, and welding parameter generation module. It is worth mentioning that a novel algorithm using Support Vector Machines (SVM) was proposed for creating the model with a high level of accuracy. Optimal combinations of wire feed rate and travel speed under various temperatures were generated accordingly. The experiment results demonstrated that the system can significantly improve product quality and reduce manufacturing costs, including raw material usage and manual labour.

钢丝电弧增材制造（WAAM）彻底改变了制造范式，用于制造具有高“购买与飞行”比率的中型到大型金属零件，例如航空航天零部件。作为制造业的一项有前途的技术，有必要开发一种效率高，劳动力成本低的自动化WAAM系统。通常，要实现一个完全智能的WAAM系统，第一步是开发一个智能焊缝建模系统，该系统能够为用户提供合适的焊接参数，以生产高精度的零件。来自许多学科的知识，例如计算机科学，材料工程，机械工程和工业系统工程，对于开发这样的自动化系统是有利的。因此，通过整合本研究中的许多工业部门，开发了一种智能的珠粒建模系统。焊珠建模系统包括三个关键模块，包括数据生成模块，模型创建模块和焊接参数生成模块。值得一提的是，提出了一种使用支持​​向量机（SVM）的新颖算法来创建高精度模型。相应地产生了在各种温度下焊丝进给速度和行进速度的最佳组合。实验结果表明，该系统可以显着提高产品质量并降低制造成本，包括原材料使用和人工劳动。模型创建模块和焊接参数生成模块。值得一提的是，提出了一种使用支持​​向量机（SVM）的新颖算法来创建高精度模型。相应地产生了在各种温度下焊丝进给速度和行进速度的最佳组合。实验结果表明，该系统可以显着提高产品质量并降低制造成本，包括原材料使用和人工劳动。模型创建模块和焊接参数生成模块。值得一提的是，提出了一种使用支持​​向量机（SVM）的新颖算法来创建高精度模型。相应地产生了在各种温度下焊丝进给速度和行进速度的最佳组合。实验结果表明，该系统可以显着提高产品质量并降低制造成本，包括原材料使用和人工劳动。