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

Giulio Mattera (), Luigi Nele () and Davide Paolella ()
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Giulio Mattera: University of Naples Federico II
Luigi Nele: University of Naples Federico II
Davide Paolella: Notos Consulting SRL

Journal of Intelligent Manufacturing, 2024, vol. 35, issue 2, No 1, 467-497

Abstract: Abstract 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.

Keywords: Machine learning; Wire arc additive manufacturing; Intelligent manufacturing; Intelligent control; Deep learning (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10845-023-02085-5

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