Purpose

Modeling and control of bead geometry in wire and arc additive manufacturing is significant as it affects the whole manufacturing process. The purpose of this paper is to establish an efficient model to control the bead geometry with fewer experiments in wire and arc additive manufacturing (WAAM).

Design/methodology/approach

A multi-sensor system is established to monitor the process parameters and measure the bead geometry information. A dynamic parameters experimental method is proposed for rapid modeling without dozens of experiments. A deep learning method is used for bead modeling and control. To adaptively control the bead geometry in real-time, a closed-loop control system was developed based on the bead model and in situ monitoring.

Findings

A series of experiments were conducted to train, test and verify the feasibility of the method and system, and the results showed that the proposed method can build the bead model rapidly with high precision, and the closed-loop system can control the forming geometry adaptively.

Originality/value

The proposed modeling method is novel as the experiment number is reduced. The dynamic parameters experimental method is effective with high precision. The closed-loop control system can control the bead geometry in real-time. The forming accuracy is elevated.

中文翻译：

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一种用于线和电弧增材制造的珠子建模和控制的新方法

目的

在焊丝和电弧增材制造中，珠粒几何形状的建模和控制非常重要，因为它会影响整个制造过程。本文的目的是建立一个有效的模型，以减少焊丝和电弧增材制造（WAAM）中的实验来控制磁珠的几何形状。

设计/方法/方法

建立了一个多传感器系统来监视过程参数并测量磁珠的几何信息。提出了一种动态参数实验方法，无需进行大量实验即可进行快速建模。深度学习方法用于珠的建模和控制。为了实时自适应地控制磁珠的几何形状，基于磁珠模型和原位监测开发了一种闭环控制系统。

发现

通过一系列实验来训练，测试和验证该方法和系统的可行性，结果表明所提出的方法可以快速，高精度地建立焊道模型，并且闭环系统可以自适应地控制成形几何形状。 。

创意/价值

由于减少了实验次数，因此提出的建模方法是新颖的。动态参数实验方法具有很高的精度。闭环控制系统可以实时控制磁珠的几何形状。成形精度提高。