Numerical and experimental investigation of resin flow, heat transfer and cure in a 3D compression resin transfer moulding process using fast curing resin
Compression resin transfer moulding (CRTM) has been widely used to manufacture automotive parts with reduced production cycle times. With the development of fast curing thermosetting resins, the CRTM process is a viable option for the high production rates in the transportation industry. However, th...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Advanced Manufacturing: Polymer & Composites Science |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/20550340.2024.2378586 |
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| author | Sidharth Sarojini Narayana Loleï Khoun Paul Trudeau Nicolas Milliken Pascal Hubert |
| author_facet | Sidharth Sarojini Narayana Loleï Khoun Paul Trudeau Nicolas Milliken Pascal Hubert |
| author_sort | Sidharth Sarojini Narayana |
| collection | DOAJ |
| description | Compression resin transfer moulding (CRTM) has been widely used to manufacture automotive parts with reduced production cycle times. With the development of fast curing thermosetting resins, the CRTM process is a viable option for the high production rates in the transportation industry. However, the dynamic resin curing behaviour poses a potential risk of manufacturing defects in the part. In order to reduce the risk during the development of the tool and the process parameters, this paper proposes a modelling framework for the CRTM process when using fast curing resin systems. The work specifically focused on the coupling between heat transfer, resin cure, resin flow and preform compaction using a commercial code, PAM-RTM. The tool captures accurately the preform filling, temperature and resin pressure evolution during the injection and compression phase. The application of the framework was demonstrated for a complex 3D demonstrator. The predicted preform filling had an accuracy of 73% for the flow front evolution compared to the experimental results. This work demonstrates the validity of the framework proposed when dealing with resin systems that are challenging to process. |
| format | Article |
| id | doaj-art-968b330a54604b9297efabb963ee01e3 |
| institution | Kabale University |
| issn | 2055-0340 2055-0359 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Advanced Manufacturing: Polymer & Composites Science |
| spelling | doaj-art-968b330a54604b9297efabb963ee01e32024-11-22T13:13:17ZengTaylor & Francis GroupAdvanced Manufacturing: Polymer & Composites Science2055-03402055-03592024-12-0110110.1080/20550340.2024.2378586Numerical and experimental investigation of resin flow, heat transfer and cure in a 3D compression resin transfer moulding process using fast curing resinSidharth Sarojini Narayana0Loleï Khoun1Paul Trudeau2Nicolas Milliken3Pascal Hubert4Department of Mechanical Engineering, McGill University, Montreal, QC, CanadaNational Research Council Canada, Boucherville, QC, CanadaNational Research Council Canada, Boucherville, QC, CanadaNational Research Council Canada, Boucherville, QC, CanadaDepartment of Mechanical Engineering, McGill University, Montreal, QC, CanadaCompression resin transfer moulding (CRTM) has been widely used to manufacture automotive parts with reduced production cycle times. With the development of fast curing thermosetting resins, the CRTM process is a viable option for the high production rates in the transportation industry. However, the dynamic resin curing behaviour poses a potential risk of manufacturing defects in the part. In order to reduce the risk during the development of the tool and the process parameters, this paper proposes a modelling framework for the CRTM process when using fast curing resin systems. The work specifically focused on the coupling between heat transfer, resin cure, resin flow and preform compaction using a commercial code, PAM-RTM. The tool captures accurately the preform filling, temperature and resin pressure evolution during the injection and compression phase. The application of the framework was demonstrated for a complex 3D demonstrator. The predicted preform filling had an accuracy of 73% for the flow front evolution compared to the experimental results. This work demonstrates the validity of the framework proposed when dealing with resin systems that are challenging to process.https://www.tandfonline.com/doi/10.1080/20550340.2024.2378586Thermosetting resinprocess simulationresin flowcompression resin transfer moulding |
| spellingShingle | Sidharth Sarojini Narayana Loleï Khoun Paul Trudeau Nicolas Milliken Pascal Hubert Numerical and experimental investigation of resin flow, heat transfer and cure in a 3D compression resin transfer moulding process using fast curing resin Advanced Manufacturing: Polymer & Composites Science Thermosetting resin process simulation resin flow compression resin transfer moulding |
| title | Numerical and experimental investigation of resin flow, heat transfer and cure in a 3D compression resin transfer moulding process using fast curing resin |
| title_full | Numerical and experimental investigation of resin flow, heat transfer and cure in a 3D compression resin transfer moulding process using fast curing resin |
| title_fullStr | Numerical and experimental investigation of resin flow, heat transfer and cure in a 3D compression resin transfer moulding process using fast curing resin |
| title_full_unstemmed | Numerical and experimental investigation of resin flow, heat transfer and cure in a 3D compression resin transfer moulding process using fast curing resin |
| title_short | Numerical and experimental investigation of resin flow, heat transfer and cure in a 3D compression resin transfer moulding process using fast curing resin |
| title_sort | numerical and experimental investigation of resin flow heat transfer and cure in a 3d compression resin transfer moulding process using fast curing resin |
| topic | Thermosetting resin process simulation resin flow compression resin transfer moulding |
| url | https://www.tandfonline.com/doi/10.1080/20550340.2024.2378586 |
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