Autonomous optimization of process parameters and in-situ anomaly detection in aerosol jet printing by an integrated machine learning approach-Reference-Cited by-同舟云学术

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Autonomous optimization of process parameters and in-situ anomaly detection in aerosol jet printing by an integrated machine learning approach

Published:2024-04 Issue: Volume:86 Page:104208
ISSN:2214-8604
Container-title:Additive Manufacturing
language:en
Short-container-title:Additive Manufacturing

Author:

Zhang Haining,Huang Jingyuan,Zhang Xiaoge,Wong Chak-Nam

Publisher

Elsevier BV

Reference67 articles.

1. Advances in screen printing of conductive nanomaterials for stretchable electronics;Zavanelli;ACS Omega,2021

2. Study of efficient sustainable phosphor in glass (P – i – G) material for white LED applications fabricated by tape casting and screen-printing techniques;Behera;Mater. Sci. Eng.: B,2023

3. Printed wheatstone bridge with embedded polymer based piezoresistive sensors for strain sensing applications;Castro;Addit. Manuf.,2018

4. 3D inkjet-printing of photo-crosslinkable resins for microlens fabrication;Magazine;Addit. Manuf.,2022

5. 3D reactive inkjet printing of bisphenol A-polycarbonate;Qian;Addit. Manuf.,2022

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