Publikationen - Datenmanagement im Maschinenbau (DMB)

Neuronale Netze in der Konstruktion zur Ausschöpfung der Potentiale additiver Fertigungstechnologien

M. Ott, N. Meihöfener, R. Koch, in: Deutscher Verband für Materialforschung und -prüfung e.V. (Ed.), Bericht 407 - 7. Tagung des DVM-Arbeitskreises Additiv gefertigte Bauteile und Strukturen, Berlin, 2022, pp. 91–106.

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Boosting artificial intelligence in design processes by the use of additive manufacturing

M. Ott, N. Meihöfener, R. Koch, in: Proceedings of the 33rd Annual International Solid Freeform Fabrication Symposium 2022, Austin, Texas, 2022, pp. 696–705.

https://utw10945.utweb.utexas.edu/sites/default/files/2022/Boosting%20Artificial%20Intelligence%20in%20Design%20Process.pdf

Creation of a Knowledge Space by Semantically Linking Data Repository and Knowledge Management System - a Use Case from Production Engineering

T. Scheveleva, M.L. Wawer, P. Oladazimi, O. Koepler, F. Nürnberger, R. Lachmayer, S. Auer, I. Mozgova, in: 2022.

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Knowledge Annotation within Research Data Management System for Oxygen-Free Production Technologies

I. Mozgova, O. Altun, T. Scheveleva, A. Castro, P. Oladazimi, O. Koepler, R. Lachmayer, S. Auer, in: 2022.

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Comparative Evaluation of Product and Service Solutions in the Context of Product-Service Systems and Technical Inheritance

J. Schneider, W. Scheidel, J. Wurst, I. Mozgova, R. Lachmayer, in: 2022.

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Quantification of the material-related environmental impact of topology-optimized multi-material components

K. Herrmann, B. Bode, J. Wurst, P. Gembarski, I. Mozgova, R. Lachmayer, in: 2022.

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Sustainability Assessment of Products manufactured by the Laser Powder Bed Fusion (LPBF) Process

J. Wurst, I. Mozgova, R. Lachmayer, in: 2022.

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Life cycle cost impact of maintenance networks for product-service system fleets

J. Schneider, I. Mozgova, R. Lachmayer, in: 2022.

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Procedure to Create an Automated Design Environment for Functional Assemblies

O. Altun, Y. Kutay, I. Mozgova, R. Lachmayer, in: 2022.

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Ontology-Based Documentation of Quality Assurance Measures Using the Example of a Visual Inspection

T. Sheveleva, K. Herrmann, M.L. Wawer, C. Kahra, F. Nürnberger, O. Koepler, I. Mozgova, R. Lachmayer, S. Auer, in: 2022.

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Technical Inheritance as an Approach to Data-Driven Product Development

R. Lachmayer, I. Mozgova, in: Design Methodology for Future Products, 2022.

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Corporate Strategy Based Quantitative Assessment of Sustainability Indicators at the Example of a Laser Powder Bed Fusion Process

J. Wurst, J. Schneider, T. Ehlers, I. Mozgova, R. Lachmayer, in: 2022.

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Parametrization of a Hybrid Component Production Process Chain Based on Semantically Annotated Data.

M.L. Wawer, T. Sheveleva, O. Koepler, F. Nürnberger, I. Mozgova, in: 2022.

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Normalization Matrix for Sustainability Assessments Considering the Laser Powder Bed Fusion Process

J. Wurst, I. Mozgova, R. Lachmayer, in: 2022.

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Management of Research Field Data Within the Concept of Digital Twin

H. Dierend, O. Altun, I. Mozgova, R. Lachmayer, in: 2022.

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Prozesskettenorientierte Herstellbarkeitsanalyse von Produkten durch die Nutzung eines Constraint-Satisfaction-Problems

K. Herrmann, F. Pusch, S. Plappert, B. Bode, I. Mozgova, P.C. Gembarski, R. Lachmayer, in: Stuttgarter Symposium Für Produktentwicklung SSP 2023: Tagungsband Zur Konferenz, Stuttgart: Fraunhofer IAO, 2023, pp. 79–90.

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ENHANCED FINDABILITY AND REUSABILITY OF ENGINEERING DATA BY CONTEXTUAL METADATA

O. Altun, P. Oladazimi, M.L. Wawer, S. Raumel, M. Wurz, K. Barienti, F. Nürnberger, R. Lachmayer, I. Mozgova, O. Koepler, S. Auer, Proceedings of the Design Society 3 (2023) 1635–1644.

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Datenqualitätssicherung im Forschungsprozess am Beispiel von Zugversuchen

L. Müller, M.L. Wawer, N. Heimes, J. Uhe, O. Koepler, S. Auer, R. Lachmayer, I. Mozgova, in: DS 125: Proceedings of the 34th Symposium Design for X (DFX2023), Erlangen : Ehemaligennetzwerk des Lehrstuhls für Konstruktionstechnik (KTmfk) Erlangen e.V., 2023, pp. 143–152.

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Approach for a Safety Element out of Context for an Actuator Circuit Control Module

H. Noun, I. Mozgova, M. Abdelfattah, G. Zeller, G. Rajesh, R. Lachmayer, International Journal of Industrial and Manufacturing Engineering 17 (2023) 237–243.

Entwicklung einer Methode zur Integration der Additiven Fertigung in die Serienproduktion am Beispiel des Lasersinterns

A. Kruse, Entwicklung einer Methode zur Integration der Additiven Fertigung in die Serienproduktion am Beispiel des Lasersinterns, 2023.

Aspects of a Sustainability Focused Comparison of the Wire Arc Additive Manufacturing (WAAM) and the Laser Powder Bed Fusion (LPBF) Process

J. Wurst, T. Steinhoff, I. Mozgova, T. Hassel, R. Lachmayer, in: 2023.

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Concept and Implementation of a Student Design Project for the Development of Sustainable Products

J. Wurst, D. Rosemann, I. Mozgova, R. Lachmayer, in: 2023.

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Methodical Approach to Reducing Design Time by using Neural Networks in Early Stages of Concept Development

M. Ott, N. Meihöfener, I. Mozgova, in: M. Ott (Ed.), Proceedings of the 34rd Annual International Solid Freeform Fabrication Symposium 2023, Austin, Texas, United States, 2023.

Sicherheit bei Großveranstaltungen – Mobilitätsverhalten und Personenströme im Fokus

A.M. Schultz, F. Dotzki, T. Eisenbach, I. Mozgova, in: Next Chapter in Mobility, Springer Fachmedien Wiesbaden, Wiesbaden, 2024.

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Handling of uncertainties in the design of sustainable Additive Manufacturing products by merging Design-for-X and Scenario-Technique

I. Gräßler, I. Mozgova, J. Pottebaum, M. Ott, P. Jung, P. Hesse, in: 17th CIRP Conference on Intelligent Computation in Manufacturing Engineering, Elsevier, 2024, pp. 549–554.

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Knowledge Management in Civil Protection at the Example of Fire Brigades

A.M. Schultz, F. Dotzki, I. Mozgova, in: Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, SCITEPRESS - Science and Technology Publications, 2024.

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An approach to use generic data sets for neural networks in product designs through geometric abstraction via primitives

M. Ott, N. Meihöfener, I. Mozgova, in: Z. Anisic, C. Forza (Eds.), Proceedings of the 11. Conference on Mass Customization and Personalization (MCP), Faculty of Technical Science, Department of Industrial Engineering and Management , Novi Sad, Serbia, 2024.

State of Knowledge Management among German firefighters

A.M. Schultz, F. Dotzki, I. Mozgova, in: B. Penkert, B. Hellingrath, M. Rode, A. Widera, M. Middelhoff, K. Boersma, M. Kalthöner (Eds.), Proceedings of the 21st ISCRAM Conference, 2024.

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Requirements Analysis of a Research Data Management System in Collaborative Projects

L. Müller, A.M. Schultz, O. Altun, J. Uhe, O. Koepler, S. Auer, I. Mozgova, in: Proceedings of NordDesign 2024, The Design Society, 2024, pp. 514–520.

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