Prediction of curing depth dependence on CNT nanofiller dispersion for vat photopolymerization 3D printing
Carbon nanotubes (CNTs) have been often implemented as an additive in photopolymer resins for photo-reactive manufacturing processes such as vat photopolymerization (VP) 3D printing to endow various functionalities and improve properties of components. However, CNTs are known for their effective UV...
| Main Authors: | , , , , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2024
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| Online Access: | https://hdl.handle.net/10356/178022 |
| _version_ | 1826112260225892352 |
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| author | Lee, Taehyub Kim, Jeong-Hwan Ng, Chin Siang Andreu, Alberto Kim, Insup Lee, Wonhee Kim, Hyoungsoo Su, Pei-Chen Yoon, Yong-Jin |
| author2 | School of Mechanical and Aerospace Engineering |
| author_facet | School of Mechanical and Aerospace Engineering Lee, Taehyub Kim, Jeong-Hwan Ng, Chin Siang Andreu, Alberto Kim, Insup Lee, Wonhee Kim, Hyoungsoo Su, Pei-Chen Yoon, Yong-Jin |
| author_sort | Lee, Taehyub |
| collection | NTU |
| description | Carbon nanotubes (CNTs) have been often implemented as an additive in photopolymer resins for photo-reactive manufacturing processes such as vat photopolymerization (VP) 3D printing to endow various functionalities and improve properties of components. However, CNTs are known for their effective UV absorption and strong agglomeration tendency, which reduce the 3D-printability of the resin composites. Moreover, since varying dispersion qualities and concentrations of CNTs significantly influence curing depth photo-curing characteristics, it remains a challenge to determine the appropriate curing parameters. Consequently, many time-consuming and tedious experiments are required to find the proper curing parameters for adequate manufacturing. To overcome the need for extensive experimentation, a theoretical model that considers both the dispersion and concentration of CNTs needs to be established to provide appropriate curing parameters. This work introduces a simple model applying a modified Beer-Lambert's law that integrates both the degree of dispersion and concentration of CNTs, aiming to predict curing depth and subsequent printability of CNT reinforced photo-curable resins. Through this model, the curing depth can be predicted depending on the degree of dispersion and concentration via only two spectroscopic experiments and one curing experiment, thus significantly reducing time-consuming and material extensive experimental works for VP 3D printed CNT/resin composites. Results show that the curing depth decreases with improved dispersion and increasing concentration of CNTs as a result of higher degrees of light path obstruction. More significantly, the methodology used to construct our model is also applicable to the development of other photo-curable resin composites used in various stereolithographic manufacturing methods. |
| first_indexed | 2024-10-01T03:04:05Z |
| format | Journal Article |
| id | ntu-10356/178022 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:04:05Z |
| publishDate | 2024 |
| record_format | dspace |
| spelling | ntu-10356/1780222024-06-04T02:38:00Z Prediction of curing depth dependence on CNT nanofiller dispersion for vat photopolymerization 3D printing Lee, Taehyub Kim, Jeong-Hwan Ng, Chin Siang Andreu, Alberto Kim, Insup Lee, Wonhee Kim, Hyoungsoo Su, Pei-Chen Yoon, Yong-Jin School of Mechanical and Aerospace Engineering Singapore Centre for 3D Printing Engineering Vat photopolymerization Carbon nanotube Carbon nanotubes (CNTs) have been often implemented as an additive in photopolymer resins for photo-reactive manufacturing processes such as vat photopolymerization (VP) 3D printing to endow various functionalities and improve properties of components. However, CNTs are known for their effective UV absorption and strong agglomeration tendency, which reduce the 3D-printability of the resin composites. Moreover, since varying dispersion qualities and concentrations of CNTs significantly influence curing depth photo-curing characteristics, it remains a challenge to determine the appropriate curing parameters. Consequently, many time-consuming and tedious experiments are required to find the proper curing parameters for adequate manufacturing. To overcome the need for extensive experimentation, a theoretical model that considers both the dispersion and concentration of CNTs needs to be established to provide appropriate curing parameters. This work introduces a simple model applying a modified Beer-Lambert's law that integrates both the degree of dispersion and concentration of CNTs, aiming to predict curing depth and subsequent printability of CNT reinforced photo-curable resins. Through this model, the curing depth can be predicted depending on the degree of dispersion and concentration via only two spectroscopic experiments and one curing experiment, thus significantly reducing time-consuming and material extensive experimental works for VP 3D printed CNT/resin composites. Results show that the curing depth decreases with improved dispersion and increasing concentration of CNTs as a result of higher degrees of light path obstruction. More significantly, the methodology used to construct our model is also applicable to the development of other photo-curable resin composites used in various stereolithographic manufacturing methods. Ministry of Education (MOE) This work was supported by the Korea Research Institute for Defense Technology Planning and Advancement (KRIT) grant funded by the Defense Acquisition Program Administration (DAPA) and Daejeon Metropolitan City (Daejeon Defense Industry Innovation Cluster Project, No. DC2022RL). This paper was also supported by Korea Evaluation Institute of Industrial Technology (KEIT) grant funded by the Korea Government (MOTIE) (20023781). This paper was also supported by AcRF Tier 1 Grant No. RG73/22 from Singapore Ministry of Education. 2024-06-04T02:38:00Z 2024-06-04T02:38:00Z 2024 Journal Article Lee, T., Kim, J., Ng, C. S., Andreu, A., Kim, I., Lee, W., Kim, H., Su, P. & Yoon, Y. (2024). Prediction of curing depth dependence on CNT nanofiller dispersion for vat photopolymerization 3D printing. Chemical Engineering Journal, 482, 149110-. https://dx.doi.org/10.1016/j.cej.2024.149110 1385-8947 https://hdl.handle.net/10356/178022 10.1016/j.cej.2024.149110 2-s2.0-85185192986 482 149110 en RG73/22 Chemical Engineering Journal © 2024 Elsevier B.V. All rights reserved. |
| spellingShingle | Engineering Vat photopolymerization Carbon nanotube Lee, Taehyub Kim, Jeong-Hwan Ng, Chin Siang Andreu, Alberto Kim, Insup Lee, Wonhee Kim, Hyoungsoo Su, Pei-Chen Yoon, Yong-Jin Prediction of curing depth dependence on CNT nanofiller dispersion for vat photopolymerization 3D printing |
| title | Prediction of curing depth dependence on CNT nanofiller dispersion for vat photopolymerization 3D printing |
| title_full | Prediction of curing depth dependence on CNT nanofiller dispersion for vat photopolymerization 3D printing |
| title_fullStr | Prediction of curing depth dependence on CNT nanofiller dispersion for vat photopolymerization 3D printing |
| title_full_unstemmed | Prediction of curing depth dependence on CNT nanofiller dispersion for vat photopolymerization 3D printing |
| title_short | Prediction of curing depth dependence on CNT nanofiller dispersion for vat photopolymerization 3D printing |
| title_sort | prediction of curing depth dependence on cnt nanofiller dispersion for vat photopolymerization 3d printing |
| topic | Engineering Vat photopolymerization Carbon nanotube |
| url | https://hdl.handle.net/10356/178022 |
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