A layer-by-layer quality monitoring framework for 3D printing-Reference-Cited by-同舟云学术

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A layer-by-layer quality monitoring framework for 3D printing

Published:2021-07 Issue: Volume:157 Page:107314
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Najjartabar Bisheh Mohammad,Chang Shing I.,Lei Shuting

Funder

National Science Foundation Directorate for Engineering

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference43 articles.

1. A new feature selection method to improve the document clustering using particle swarm optimization algorithm;Abualigah;Journal of Computational Science,2018

2. Hybrid clustering analysis using improved krill herd algorithm;Abualigah;Applied Intelligence,2018

3. Abualigah, L. M. Q. (2019). Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering (Vol. 816). Springer International Publishing. https://doi.org/10.1007/978-3-030-10674-4.

4. Amini, M., & Chang, S. (2018a, June 18). Process Monitoring of 3D Metal Printing in Industrial Scale. Volume 1: Additive Manufacturing; Bio and Sustainable Manufacturing. https://doi.org/10.1115/MSEC2018-6332.

5. MLCPM: A process monitoring framework for 3D metal printing in industrial scale;Amini;Computers & Industrial Engineering,2018

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1. A comprehensive review on integrating vision-based sensing in extrusion-based 3D printing processes: toward geometric monitoring of extrusion-based 3D concrete printing;Construction Robotics;2024-08-22

2. DETECTION OF PROCESS ERRORS OF ADDITIVE MANUFACTURING;MM Science Journal;2024-06-03

3. Design and development of dual-extruder food 3D printer based on selective compliance assembly robot arm and printing of various inks;Journal of Food Engineering;2024-06

4. A cyber-physical production system for autonomous part quality control in polymer additive manufacturing material extrusion process;Journal of Intelligent Manufacturing;2024-05-23

5. Q3D: a complete solution for quality control and inspection in additive manufacturing processes;Rapid Prototyping Journal;2024-05-21

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