An Online AM Quality Estimation Architecture From Pool to Layer

Quality control is the key for the widespread adoption of metal additive manufacturing (AM). However, online quality estimation is challenging because high-frequency stream data derived from in situ metrology have to be processed in a timely manner to figure out the complicated interactions among ma...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on automation science and engineering 2021-01, Vol.18 (1), p.269-281
Hauptverfasser:	Yang, Haw-Ching, Huang, Chih-Hung, Adnan, Muhammad, Hsu, Chih-Hua, Lin, Chun-Hui, Cheng, Fan-Tien
Format:	Artikel
Sprache:	eng
Schlagworte:	<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">in situ metrology Additive manufacturing Automatic virtual metrology (AVM) Buildings Computer architecture Defects Estimation Feature extraction intelligent AM metrology (IAMM) architecture Material properties Mechanical factors Melt pools melt-pool metal additive manufacturing Metals Metrology Monitoring Parallel processing Parameter robustness Process parameters Quality control
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!