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Unger, Nicolas (2025) Uncertainty Quantification in Robotic Screw Extrusion AM - Assessing Process Capability through High-Resolution Temporal Data. EmpowerAX Science Day 2025, 2025-10-08, Stade, Deutschland.
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| Item URL in elib: | https://elib.dlr.de/217067/ | ||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||
| Title: | Uncertainty Quantification in Robotic Screw Extrusion AM - Assessing Process Capability through High-Resolution Temporal Data | ||||||||
| Authors: |
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| Date: | 2025 | ||||||||
| Refereed publication: | Yes | ||||||||
| Open Access: | No | ||||||||
| Gold Open Access: | No | ||||||||
| In SCOPUS: | No | ||||||||
| In ISI Web of Science: | No | ||||||||
| Status: | Published | ||||||||
| Keywords: | Additive Manufacturing; Robotic Screw Extrusion Additive Manufacturing; Uncertainty Quantification; Time-Series Data; Process Window Qualification; Volume Flow | ||||||||
| Event Title: | EmpowerAX Science Day 2025 | ||||||||
| Event Location: | Stade, Deutschland | ||||||||
| Event Type: | international Conference | ||||||||
| Event Date: | 8 October 2025 | ||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||
| HGF - Program: | Transport | ||||||||
| HGF - Program Themes: | Road Transport | ||||||||
| DLR - Research area: | Transport | ||||||||
| DLR - Program: | V ST Straßenverkehr | ||||||||
| DLR - Research theme (Project): | V - FFAE - Fahrzeugkonzepte, Fahrzeugstruktur, Antriebsstrang und Energiemanagement | ||||||||
| Location: | Stuttgart | ||||||||
| Institutes and Institutions: | Institute of Vehicle Concepts > Vehicle Architectures and Lightweight Design Concepts | ||||||||
| Deposited By: | Unger, Nicolas | ||||||||
| Deposited On: | 11 May 2026 10:05 | ||||||||
| Last Modified: | 11 May 2026 10:05 |
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