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The International Journal of Advanced Manufacturing Technology

Erschienen in:

03.09.2020 | ORIGINAL ARTICLE

Model-free adaptive iterative learning control of melt pool width in wire arc additive manufacturing

verfasst von: Chunyang Xia, Zengxi Pan, Shiyu Zhang, Huijun Li, Yanling Xu, Shanben Chen

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 7-8/2020

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Abstract

Wire arc additive manufacturing (WAAM) is a Direct Energy Deposition (DED) technology, which utilize electrical arc as heat source to deposit metal material bead by bead to make up the final component. However, issues like the lack of assurance in accuracy, repeatability and stability hinder the further application in industry. Therefore, a Model Free Adaptive Iterative Learning Control (MFAILC) algorithm was developed to be applied in WAAM process in this study. The dynamic process of WAAM is modelled by adaptive neuro fuzzy inference system (ANFIS). Based on this ANFIS model, simulations are performed to demonstrate the effectiveness of MFAILC algorithm. Furthermore, experiments are conducted to investigate the tracking performance and robustness of the MFAILC controller. This work will help to improve the forming accuracy and automatic level of WAAM.

Vorheriger Artikel Surface characteristics investigation of ultrasonic longitudinal-torsional milling of high–volume fraction SiCp/Al

Nächster Artikel A new counting method based on the acceleration sensor for stamping tools

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Titel: Model-free adaptive iterative learning control of melt pool width in wire arc additive manufacturing
verfasst von: Chunyang Xia
Zengxi Pan
Shiyu Zhang
Huijun Li
Yanling Xu
Shanben Chen
Publikationsdatum: 03.09.2020
Verlag: Springer London
Erschienen in: The International Journal of Advanced Manufacturing Technology / Ausgabe 7-8/2020
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI: https://doi.org/10.1007/s00170-020-05998-0

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