Application of KNN and ANN Metamodeling for RTM Filling Process Prediction
Process simulation is frequently adopted to facilitate the optimization of the resin transfer molding process. However, it is computationally costly to simulate the multi-physical, multi-scale process, making it infeasible for applications involving huge datasets. In this study, the application of K...
Main Authors: | Boon Xian Chai, Boris Eisenbart, Mostafa Nikzad, Bronwyn Fox, Ashley Blythe, Kyaw Hlaing Bwar, Jinze Wang, Yuntong Du, Sergey Shevtsov |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-09-01
|
Series: | Materials |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1944/16/18/6115 |
Similar Items
-
Usage of Near-Infrared Spectroscopy for Inline Monitoring the Degree of Curing in RTM Processes
by: Moritz Salzmann, et al.
Published: (2021-09-01) -
Preparation and Validation of a Longitudinally and Transversely Stiffened Panel Based on Hybrid RTM Composite Materials
by: Weidong Li, et al.
Published: (2023-07-01) -
Effects of the Interlayer Toughening Agent Structure on the Flow Behavior during the z-RTM Process
by: Weidong Li, et al.
Published: (2022-05-01) -
Out-Of-Plane Permeability Evaluation of Carbon Fiber Preforms by Ultrasonic Wave Propagation
by: Francesca Lionetto, et al.
Published: (2020-06-01) -
Thermoplastic RTM: Impact Properties of Anionically Polymerised Polyamide 6 Composites for Structural Automotive Parts
by: James J. Murray, et al.
Published: (2021-09-01)