DOAJ Open Access 2025

Virtual Sensor for Injection Molding Monitoring

Ronan Le Goff Sabine Belle Armelle Chenu Nils Marchal Antoine Delacourt +2 lainnya

Abstrak

Monitoring the complete injection molding process is becoming critical for manufacturing high-quality polymer products, as it enhances product quality and process efficiency. This study presents the development of a virtual sensor designed to monitor critical parameters of the injection molding process that cannot be measured with existing sensors. The virtual sensor integrates both one-dimensional system simulations and data-driven models to accurately predict the behavior of the complete injection molding process, including the plasticizing steps. In our investigation, the virtual sensor was tested and demonstrated its ability in forecasting key process parameters, namely the injection pressure and the screw displacement. The sensor’s ability to provide real-time melt temperature or shear rate highlights its practical applicability and effectiveness in optimizing the injection molding process.

Topik & Kata Kunci

Production capacity. Manufacturing capacity

Penulis (7)

Ronan Le Goff

Sabine Belle

Armelle Chenu

Nils Marchal

Antoine Delacourt

Franck Sellier

Matthieu Ponchant

Format Sitasi

APA MLA BibTeX

Goff, R.L., Belle, S., Chenu, A., Marchal, N., Delacourt, A., Sellier, F. et al. (2025). Virtual Sensor for Injection Molding Monitoring. https://doi.org/10.3390/jmmp9090311

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Lihat di Sumber doi.org/10.3390/jmmp9090311

Informasi Jurnal

Tahun Terbit: 2025
Sumber Database: DOAJ
DOI: 10.3390/jmmp9090311
Akses: Open Access ✓