Data-driven Virtual Test-bed of the Blown Powder Directed Energy Deposition Process

Digital twins in manufacturing serve as a crucial bridge between the industrial age and the digital age, offering immense value. Current additive manufacturing processes are able to generate vast amounts of in-process data, which, when effectively ingested, can be transformed into insightful decisio...

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Bibliographic Details
Published in:arXiv.org 2024-09
Main Authors: Juhasz, Michael, Chin, Eric, Choi, Youngsoo, McKeown, Joseph T, Khairallah, Saad
Format: Article
Language:English
Subjects:
Beds (process engineering)
Coupled modes
Deposition
Digital twins
Manufacturing
Robust control
System identification
Virtual reality
Online Access:Get full text
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Summary:Digital twins in manufacturing serve as a crucial bridge between the industrial age and the digital age, offering immense value. Current additive manufacturing processes are able to generate vast amounts of in-process data, which, when effectively ingested, can be transformed into insightful decisions. Data-driven methods from reduced order modeling and system identification are particularly promising in managing this data deluge. This study focuses on Laser Powder Directed Energy Deposition (LP-DED) equipped with in-situ process measurements to develop a compact virtual test-bed. This test-bed can accurately ingest arbitrary process inputs and report in-process observables as outputs. This virtual test-bed is derived using Dynamic Mode Decomposition with Control (DMDc) and is coupled with uncertainty quantification techniques to ensure robust predictions.
ISSN:2331-8422