Quality Prediction in Directed Energy Deposition Using Artificial Neural Networks Based on Process Signals
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
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In: Applied Sciences (12:8) - Basel : MDPI - Art.-Id. 3955
- Event
-
Veröffentlichung
- (where)
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Berlin
- (who)
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Technische Universität Berlin
- (when)
-
2022
- Creator
- DOI
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10.14279/depositonce-15638
- Handle
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11303/16860
- URN
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urn:nbn:de:101:1-2022051102073086677709
- Rights
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:21 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Marko, Angelina
- Bähring, Stefan
- Raute, Julius
- Biegler, Max
- Rethmeier, Michael
- Technische Universität Berlin
Time of origin
- 2022
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Quality Prediction in Directed Energy Deposition Using Artificial Neural Networks Based on Process Signals
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Automated Tool‐Path Generation for Rapid Manufacturing of Additive Manufacturing Directed Energy Deposition Geometries
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Distortion-based validation of the heat treatment simulation of Directed Energy Deposition additive manufactured parts
MIG-Schweißen von Magnesiumlegierungen
Life Cycle Assessment of Fusion Welding Processes—A Case Study of Resistance Spot Welding Versus Laser Beam Welding
Qualification of computational welding mechanics approaches for simulation of directed energy deposition
Finite element analysis of in-situ distortion and bulging for an arbitrarily curved additive manufacturing directed energy deposition geometry
Characterization of Ti–6Al–4V Fabricated by Multilayer Laser Powder‐Based Directed Energy Deposition
Investigation of the Extrapolation Capability of an Artificial Neural Network Algorithm in Combination with Process Signals in Resistance Spot Welding of Advanced High-Strength Steels
Quality Prediction in Directed Energy Deposition Using Artificial Neural Networks Based on Process Signals
Quality Prediction in Directed Energy Deposition Using Artificial Neural Networks Based on Process Signals
Automated Tool‐Path Generation for Rapid Manufacturing of Additive Manufacturing Directed Energy Deposition Geometries
Automated Tool-Path Generation for Rapid Manufacturing of Additive Manufacturing Directed Energy Deposition Geometries
Automated Tool‐Path Generation for Rapid Manufacturing of Additive Manufacturing Directed Energy Deposition Geometries
Distortion-based validation of the heat treatment simulation of Directed Energy Deposition additive manufactured parts
MIG-Schweißen von Magnesiumlegierungen
Life Cycle Assessment of Fusion Welding Processes—A Case Study of Resistance Spot Welding Versus Laser Beam Welding
Qualification of computational welding mechanics approaches for simulation of directed energy deposition
Finite element analysis of in-situ distortion and bulging for an arbitrarily curved additive manufacturing directed energy deposition geometry
Characterization of Ti–6Al–4V Fabricated by Multilayer Laser Powder‐Based Directed Energy Deposition