| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
| |
| Motta, Antonella |
| |
| Aletan, Dirar |
| |
| Mohamed, Tarek |
| |
| Ertürk, Emre |
| |
| Taccardi, Nicola |
| |
| Kononenko, Denys |
| |
| Petrov, R. H. | Madrid |
|
| Alshaaer, Mazen | Brussels |
|
| Bih, L. |
| |
| Casati, R. |
| |
| Muller, Hermance |
| |
| Kočí, Jan | Prague |
|
| Šuljagić, Marija |
| |
| Kalteremidou, Kalliopi-Artemi | Brussels |
|
| Azam, Siraj |
| |
| Ospanova, Alyiya |
| |
| Blanpain, Bart |
| |
| Ali, M. A. |
| |
| Popa, V. |
| |
| Rančić, M. |
| |
| Ollier, Nadège |
| |
| Azevedo, Nuno Monteiro |
| |
| Landes, Michael |
| |
| Rignanese, Gian-Marco |
|
Quagliotti, Danilo
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (10/10 displayed)
- 2024Surface roughness of the parts produced by Tomographic Volumetric Printing (TVP) process
- 2019Modelling the filling behavior of micro structured plastic optical components
- 2018Multiscale dimensional tolerance specifications established on shrinkage assessment in ceramic micro injection moldingcitations
- 2018Manufacturing Signatures of Injection Molding and Injection Compression Molding for Micro-Structured Polymer Fresnel Lens Productioncitations
- 2018Evaluation of injection pressure as a process fingerprint for Injection and Injection Compression Molding of micro structured optical components
- 2017Replication assessment of surface texture at sub-micrometre scale
- 2017Multi Scale Micro and Nano Metrology for Advanced Precision Moulding Technologies
- 2016An international comparison of surface texture parameters quantification on polymer artefacts using optical instrumentscitations
- 2016Metrology of sub-micron structured polymer surfaces
- 2016Performance verification of focus variation and confocal microscopes measuring tilted ultra-fine surfaces
Places of action
| Organizations | Location | People |
|---|
conferencepaper
Evaluation of injection pressure as a process fingerprint for Injection and Injection Compression Molding of micro structured optical components
Abstract
Injection pressure is one of the most significate factor governing the effectiveness of Molding based manufacturing processes. Being the monitoring of injection pressure easy to implement, the opportunity to address quality control on injection pressure as manufacturing fingerprint opens up to the possibility of implementing online process control solutions for Industry 4.0 approaches; examples are machine learning, deep learning and artificial intelligence. For the purpose, the calibration of process fingerprints with a quality feature of the final part is required. In this study, the injection pressure is assessed in different Injection Molding and Injection Compression Molding process conditions when replicating a polymer microstructured optical part [1]. The study case presents a high clarity polymer Fresnel lens showing a square aperture with varying low aspect ratio features. Grooves step height size ranges from 17.3 μm to 346.6 μm for peak-to-valley (PV) while the pitch has a constant value of 748.1 μm. Absolute dimensions of the grooves, as long as global part mass, are investigated in varying compression gap and holding pressure levels. Defining relationship between the geometrical dimensions of the micro structures, global mass and process fingerprint is the main outcome of this research work.