A novel quality inspection method for aerosol jet printed sensors through infrared imaging and machine learning
The quality of printed electronic sensors by aerosol jet printing (AJP) process is hard to guarantee due to an insufficient reproducibility of the AJP process. This paper proposes a novel quality inspection method to identify defects on the printed sensor by AJP process using infrared imaging and ma...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/170602 |
| _version_ | 1811682645101248512 |
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| author | Moon, Seung Ki Ng, Nicholas Poh Huat Chen, Lequn Ahn, Dong-Gyu |
| author2 | School of Mechanical and Aerospace Engineering |
| author_facet | School of Mechanical and Aerospace Engineering Moon, Seung Ki Ng, Nicholas Poh Huat Chen, Lequn Ahn, Dong-Gyu |
| author_sort | Moon, Seung Ki |
| collection | NTU |
| description | The quality of printed electronic sensors by aerosol jet printing (AJP) process is hard to guarantee due to an insufficient reproducibility of the AJP process. This paper proposes a novel quality inspection method to identify defects on the printed sensor by AJP process using infrared imaging and machine learning. Potentially defective regions with high temperature distributions on printed lines are estimated from the infrared imaging when the current is applied. Demanded regions for the repair are identified by a machine learning algorithm. Finally, the applicability of the proposed method has been demonstrated by repair experiments. |
| first_indexed | 2024-10-01T04:00:08Z |
| format | Journal Article |
| id | ntu-10356/170602 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:00:08Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | ntu-10356/1706022023-09-20T03:27:44Z A novel quality inspection method for aerosol jet printed sensors through infrared imaging and machine learning Moon, Seung Ki Ng, Nicholas Poh Huat Chen, Lequn Ahn, Dong-Gyu School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Additive Manufacturing Aerosol Jet The quality of printed electronic sensors by aerosol jet printing (AJP) process is hard to guarantee due to an insufficient reproducibility of the AJP process. This paper proposes a novel quality inspection method to identify defects on the printed sensor by AJP process using infrared imaging and machine learning. Potentially defective regions with high temperature distributions on printed lines are estimated from the infrared imaging when the current is applied. Demanded regions for the repair are identified by a machine learning algorithm. Finally, the applicability of the proposed method has been demonstrated by repair experiments. Nanyang Technological University National Research Foundation (NRF) This research was supported by Singapore Centre for 3D Printing (SC3DP), the National Research Foundation, Prime Minister's Office, Singapore under its Medium-Sized Centre funding scheme. 2023-09-20T03:27:44Z 2023-09-20T03:27:44Z 2023 Journal Article Moon, S. K., Ng, N. P. H., Chen, L. & Ahn, D. (2023). A novel quality inspection method for aerosol jet printed sensors through infrared imaging and machine learning. CIRP Annals - Manufacturing Technology, 72(1), 165-168. https://dx.doi.org/10.1016/j.cirp.2023.03.029 0007-8506 https://hdl.handle.net/10356/170602 10.1016/j.cirp.2023.03.029 2-s2.0-85153610958 1 72 165 168 en CIRP Annals - Manufacturing Technology © 2023 CIRP. Published by Elsevier Ltd. All rights reserved. |
| spellingShingle | Engineering::Mechanical engineering Additive Manufacturing Aerosol Jet Moon, Seung Ki Ng, Nicholas Poh Huat Chen, Lequn Ahn, Dong-Gyu A novel quality inspection method for aerosol jet printed sensors through infrared imaging and machine learning |
| title | A novel quality inspection method for aerosol jet printed sensors through infrared imaging and machine learning |
| title_full | A novel quality inspection method for aerosol jet printed sensors through infrared imaging and machine learning |
| title_fullStr | A novel quality inspection method for aerosol jet printed sensors through infrared imaging and machine learning |
| title_full_unstemmed | A novel quality inspection method for aerosol jet printed sensors through infrared imaging and machine learning |
| title_short | A novel quality inspection method for aerosol jet printed sensors through infrared imaging and machine learning |
| title_sort | novel quality inspection method for aerosol jet printed sensors through infrared imaging and machine learning |
| topic | Engineering::Mechanical engineering Additive Manufacturing Aerosol Jet |
| url | https://hdl.handle.net/10356/170602 |
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