A knowledge transfer framework to support rapid process modeling in aerosol jet printing
Aerosol jet printing (AJP) technology recently gained considerable attention in an electronic manufacturing industry due to its ability to fabricate parts with fine resolution and high flexibility. However, morphology control has been identified as the main limitation of AJP process, which drastical...
Saved in:
Main Authors: | Zhang, Haining, Choi, Joon Phil, Moon, Seung Ki, Ngo, Teck Hui |
---|---|
Other Authors: | School of Mechanical and Aerospace Engineering |
Format: | Article |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/160378 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
A hybrid multi-objective optimization of aerosol jet printing process via response surface methodology
by: Zhang, Haining, et al.
Published: (2022) -
A multi-objective optimization framework for aerosol jet customized line width printing via small data set and prediction uncertainty
by: Zhang, Haining, et al.
Published: (2022) -
Hybrid machine learning method to determine the optimal operating process window in aerosol jet 3D printing
by: Zhang, Haining, et al.
Published: (2021) -
Rapid process modeling of the aerosol jet printing based on gaussian process regression with latin hypercube sampling
by: Zhang, Haining, et al.
Published: (2021) -
Optimizing aerosol jet printing process of silver ink for printed electronics
by: Agarwala, Shweta, et al.
Published: (2017)