| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Grunwald, Tim
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (16/16 displayed)
- 2024Friction in glass forming: Tribological behaviors of optical glasses and uncoated steel near glass transition temperaturecitations
- 2023Machine learning-based predictions of form accuracy for curved thin glass by vacuum assisted hot forming processcitations
- 2023Variationskraftgeregeltes 5-Achs-Schleifen ; The variation force-controlled finishing of curved tool steel surfaces with mounted points
- 2022Mold protective coatings for precision glass molding
- 2022Simulation of the Refractive Index Variation and Validation of the Form Deviation in Precisely Molded Chalcogenide Glass Lenses (IRG 26) Considering the Stress and Structure Relaxationcitations
- 2022Simulation of the Refractive Index Variation and Validation of the Form Deviation in Precisely Molded Chalcogenide Glass Lenses (IRG 26) Considering the Stress and Structure Relaxationcitations
- 2022Enabling Sustainability in Glass Optics Manufacturing by Wafer Scale Molding
- 2022Modeling nonequilibrium thermoviscoelastic material behaviors of glass in nonisothermal glass moldingcitations
- 2021Machine learning-based predictive modeling of contact heat transfercitations
- 2020Modeling of thermo-viscoelastic material behavior of glass over a wide temperature range in glass compression moldingcitations
- 2020Thermo-viscoelastic modeling of nonequilibrium material behavior of glass in nonisothermal glass moldingcitations
- 2020Precision Glass Molding of infrared optics with anti-reflective microstructurescitations
- 2019Experimental investigation of contact heat transfer coefficients in nonisothermal glass molding by infrared thermographycitations
- 2019Approaches and Methodologies for Process Development of Thin Glass Formingcitations
- 2019Molded anti-reflective structures of chalcogenide glasses for infrared optics by precision glass moldingcitations
- 2018Scalability of the precision glass molding process for an efficient optics productioncitations
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article
Simulation of the Refractive Index Variation and Validation of the Form Deviation in Precisely Molded Chalcogenide Glass Lenses (IRG 26) Considering the Stress and Structure Relaxation
Abstract
<jats:p>Precise infrared (IR) optics are core elements of infrared cameras for thermal imaging and night vision applications and can be manufactured directly or using a replicative process. For instance, precision glass molding (PGM) is a replicative manufacturing method that meets the demand of producing precise and accurate glass optics in a cost-efficient manner. However, several iterations in the PGM process are applied to compensate the induced form deviation and the index drop after molding. The finite element method (FEM) is utilized to simulate the thermomechanical process, predicting the optical properties of molded chalcogenide lenses and thus preventing costly iterations. Prior to FEM modelling, self-developed glass characterization methods for the stress and structure relaxation of chalcogenide glass IRG 26 are implemented. Additionally, a ray-tracing method is developed in this work to calculate the optical path difference (OPD) based on the mesh structure results from the FEM simulation. The developed method is validated and conducted during the production of molded lenses.</jats:p>