Hybrid physical model and status data-driven approach for quality-reliable digital light processing 3D printing

Hybrid physical model and status data-driven approach for quality-reliable digital light processing 3D printing

Existing methods for detecting anomalies in digital light processing (DLP) 3D printing and performing in-situ repairs can reduce most defects and improve success rates. However, since printing control parameters cannot adapt to real-time printing conditions, anomalies may persist across successive l...

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Bibliographic Details
Main Authors: Lidong Zhao, Xueyun Zhang, Zhi Zhao, Limin Ma, Lifang Wu
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Virtual and Physical Prototyping
Subjects:
Digital light processing
physical model
status monitoring
control parameters
dynamic control
Online Access:https://www.tandfonline.com/doi/10.1080/17452759.2025.2460784
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