Data-driven prediction of next-layer melt pool temperatures in laser powder bed fusion based on co-axial high-resolution Planck thermometry measurements-Reference-Cited by-同舟云学术

Data-driven prediction of next-layer melt pool temperatures in laser powder bed fusion based on co-axial high-resolution Planck thermometry measurements

Published:2022-07 Issue: Volume:79 Page:81-90
ISSN:1526-6125
Container-title:Journal of Manufacturing Processes
language:en
Short-container-title:Journal of Manufacturing Processes

Author:

Kozjek Dominik,Carter Fred M.,Porter Conor,Mogonye Jon-Erik,Ehmann Kornel,Cao Jian

Funder

Army Research Laboratory

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Reference26 articles.

1. A review of laser powder bed fusion additive manufacturing of aluminium alloys: microstructure and properties;Kotadia;Addit Manuf,2021

2. Process defects and in situ monitoring methods in metal powder bed fusion: a review;Grasso;Meas Sci Technol,2017

3. In-situ sensing, process monitoring and machine control in laser powder bed fusion: a review;McCann;Addit Manuf,2021

4. Physics based compressive sensing to monitor temperature and melt flow in laser powder bed fusion;Lu;Addit Manuf,2021

5. Common defects and contributing parameters in powder bed fusion AM process and their classification for online monitoring and control: a review;Malekipour;Int J Adv Manuf Technol,2018

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