Abstract
This paper presents a numerical solution to optimize RTM processes based on a DDDAS methodology, taking permeability as stochastic. The model proposed in this investigation allows real-time accurate prediction of the filling rate by adjusting the parameters with the on-line captured process data. The suitability of the proposed model was tested and validated under different process parameters variations like pressure and preform permeability.
| Original language | English |
|---|---|
| Article number | 28 |
| Pages (from-to) | 28 |
| Number of pages | 1 |
| Journal | International Journal of Material Forming |
| Volume | 15 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Mar 2022 |
Keywords
- DDDAS
- Resin transfer moulding
- Darcy
- Permeability
Project and Funding Information
- Funding Info
- Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This work has been partially supported by Ministerio de Ciencia e Innovacion project PID2020- ´ 116346GB-I00.