Development of an adaptive, self-learning control concept for an additive manufacturing process-Reference-Cited by-同舟云学术

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Development of an adaptive, self-learning control concept for an additive manufacturing process

Published:2017-11 Issue: Volume:19 Page:57-61
ISSN:1755-5817
Container-title:CIRP Journal of Manufacturing Science and Technology
language:en
Short-container-title:CIRP Journal of Manufacturing Science and Technology

Author:

Renken Volker^ORCID,Albinger Stephan,Goch Gert,Neef Arne,Emmelmann Claus

Funder

European Community's Seventh Framework Programme

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering

Reference12 articles.

1. Reproducibility for Properties of Selective Laser Melting Products;Rehme,2005

2. A Process Oriented Approach to Automated Quality Control;Ament;CIRP Annals-Manufacturing Technology,2001

3. Automated Compensation of Distortion in the Production Process of Bearing Rings;Dijkman,2009

4. High Resolution Imaging for Inspection of Laser Beam Melting Systems;zur Jacobsmuhlen,2013

5. Detecting Process Irregularities in Selective Laser Melting by Thermography;Krauss,2014

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1. Machine learning-assisted in-situ adaptive strategies for the control of defects and anomalies in metal additive manufacturing;Additive Manufacturing;2024-02

2. Artificial Intelligence in manufacturing: State of the art, perspectives, and future directions;CIRP Annals;2024

3. A comprehensive literature review of the applications of AI techniques through the lifecycle of industrial equipment;Discover Artificial Intelligence;2023-12-07

4. A review of in-situ monitoring and process control system in metal-based laser additive manufacturing;Journal of Manufacturing Systems;2023-10

5. Layer-to-layer closed-loop feedback control application for inter-layer temperature stabilization in laser powder bed fusion;Additive Manufacturing;2023-09

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