Monitoring and control the Wire Arc Additive Manufacturing process using artificial intelligence techniques: a review

被引:38
|
作者
Mattera, Giulio [1 ]
Nele, Luigi [1 ]
Paolella, Davide [2 ]
机构
[1] Univ Naples Federico II, Dept Chem Mat & Ind Mfg Engn, Piazzale Vincenzo Tecchio, I-80125 Naples, Italy
[2] Notos Consulting SRL, Via Argine 313, I-80147 Naples, Italy
关键词
Machine learning; Wire arc additive manufacturing; Intelligent manufacturing; Intelligent control; Deep learning; WELD BEAD WIDTH; INFRARED THERMAL IMAGE; NEURAL-NETWORKS; DEFECTS DETECTION; PENETRATION; MODEL; DEPTH; IDENTIFICATION; METHODOLOGY; PREDICTION;
D O I
10.1007/s10845-023-02085-5
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Wire Arc Additive Manufacturing is a Direct Energy Deposition additive technology that uses the principle of wire welding to deposit layers of material to create a finished component. This technology is finding an increasing interest in the manufacturing industry, especially thanks the low cost and the possibility to build large-scale components. Nowadays, the boosting to transition into smart manufacturing systems and the increasingly computational resources allowed the development of intelligent applications for smart production systems for both in situ inspection and process parameter control. This paper aims to provide an review of applications developed using artificial intelligence techniques for Wire Arc Additive Manufacturing, with particular focus on defect detection software modules, feedback generation for control system and innovative control strategies as reinforcement learning to overcome problems related to model non-linearity and uncertainties.
引用
收藏
页码:467 / 497
页数:31
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