@inproceedings{44522,
  author       = {{Wurst, Johanna and Rosemann, Daniel and Mozgova, Iryna and Lachmayer, Roland}},
  title        = {{{Concept and Implementation of a Student Design Project for the Development of Sustainable Products}}},
  doi          = {{10.1007/978-3-031-28839-5_88}},
  year         = {{2023}},
}

@inproceedings{46957,
  abstract     = {{Modern companies often face various challenges in concept development of products or systems. Design engineers prepare initial concepts as 3D models. These are then simulated by computational engineers. If requirements are not met, this necessitates an iterative process that runs between the design and computation departments until a valid concept is created. Design methods such as topology optimization are often used here. The upcoming result is then attempted to be adapted to certain manufacturing processes. These iteration loops can sometimes take a very long time, since the model construction and structural optimization generate large computational efforts. The present work shows on an example a methodical approach, which represents a first proof of concept, to solving this problem, including a description of methods and techniques, as well as possible problems in a detailed analysis concerning training data for neural networks and their abstraction capabilities. It is evident that additional research work needs to be conducted for further utilization in order to address all arising questions.}},
  author       = {{Ott, Manuel and Meihöfener, Niclas and Mozgova, Iryna}},
  booktitle    = {{Proceedings of the 34rd Annual International Solid Freeform Fabrication Symposium 2023}},
  editor       = {{Ott, Manuel}},
  location     = {{Austin, Texas, United States}},
  title        = {{{Methodical Approach to Reducing Design Time by using Neural Networks in Early Stages of Concept Development}}},
  year         = {{2023}},
}

@article{58298,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Complex research problems are increasingly addressed by interdisciplinary, collaborate research projects generating large amounts of heterogeneous amounts of data. The overarching processing, analysis and availability of data are critical success factors for these research efforts. Data repositories enable long term availability of such data for the scientific community. The findability and therefore reusability strongly builds on comprehensive annotations of datasets stored in repositories. Often generic metadata schema are used to annotate data. In this publication we describe the implementation of discipline specific metadata into a data repository to provide more contextual information about data. To avoid extra workload for researchers to provide such metadata a workflow with standardised data templates for automated metadata extraction during the ingest process has been developed. The enriched metadata are in the following used in the development of two repository plugins for data comparison and data visualisation. The added values of discipline-specific annotations and derived search features to support matching and reusable data is then demonstrated by use cases of two Collaborative Research Centres (CRC 1368 and CRC 1153).</jats:p>}},
  author       = {{Altun, Osman and Oladazimi, Pooya and Wawer, Max Leo and Raumel, Selina and Wurz, Marc and Barienti, Khemais and Nürnberger, Florian and Lachmayer, Roland and Mozgova, Iryna and Koepler, Oliver and Auer, Sören}},
  issn         = {{2732-527X}},
  journal      = {{Proceedings of the Design Society}},
  pages        = {{1635--1644}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{ENHANCED FINDABILITY AND REUSABILITY OF ENGINEERING DATA BY CONTEXTUAL METADATA}}},
  doi          = {{10.1017/pds.2023.164}},
  volume       = {{3}},
  year         = {{2023}},
}

@inproceedings{52679,
  abstract     = {{Progressive digitization throughout the entire product data life cycle requires a more sensitive handling and understanding of data within engineering processes. Regarding engineering research data, the aim is to implement the FAIR data principles (Findable, Accessible, Interoperable, Reusable) to guarantee the post-usability of research data. To ensure the quality of data throughout the entire research process a methodical approach had been developed. Based on the quality categories Intrinsic, Representative, Contextual and Available, the related quality dimensions are considered differentiated along the research data life cycle and presented in a concept. As a use case, this concept is carried out on a tensile test with documentation of results in a research data management system.}},
  author       = {{Müller, Laura and Wawer, Max Leo and Heimes, Norman and Uhe, Johanna and Koepler, Oliver and Auer, Sören and Lachmayer, Roland and Mozgova, Iryna}},
  booktitle    = {{DS 125: Proceedings of the 34th Symposium Design for X (DFX2023)}},
  pages        = {{143--152}},
  publisher    = {{Erlangen : Ehemaligennetzwerk des Lehrstuhls für Konstruktionstechnik (KTmfk) Erlangen e.V.}},
  title        = {{{Datenqualitätssicherung im Forschungsprozess am Beispiel von Zugversuchen}}},
  doi          = {{ https://doi.org/10.35199/dfx2023.15}},
  year         = {{2023}},
}

@inproceedings{44514,
  author       = {{Scheveleva, Tatyana and Wawer, Max Leo and Oladazimi, Pooya and Koepler, Oliver and Nürnberger, Florian and Lachmayer, Roland and Auer, Sören and Mozgova, Iryna}},
  title        = {{{Creation of a Knowledge Space by Semantically Linking Data Repository and Knowledge Management System - a Use Case from Production Engineering}}},
  doi          = {{10.1016/j.ifacol.2022.10.006}},
  year         = {{2022}},
}

@inproceedings{44510,
  author       = {{Mozgova, Iryna and Altun, Osman and Scheveleva, Tatyana and Castro, Andre and Oladazimi, Pooya and Koepler, Oliver and Lachmayer, Roland and Auer, Sören}},
  title        = {{{Knowledge Annotation within Research Data Management System for Oxygen-Free Production Technologies}}},
  doi          = {{10.1017/pds.2022.54}},
  year         = {{2022}},
}

@inproceedings{44513,
  author       = {{Schneider, Jannik and Scheidel, Wieben and Wurst, Johanna and Mozgova, Iryna and Lachmayer, Roland}},
  title        = {{{Comparative Evaluation of Product and Service Solutions in the Context of Product-Service Systems and Technical Inheritance}}},
  doi          = {{https://doi.org/10.1007/978-3-030-94335-6_23}},
  year         = {{2022}},
}

@inproceedings{44515,
  author       = {{Herrmann, Kevin and Bode, Behrend and Wurst, Johanna and Gembarski, Paul and Mozgova, Iryna and Lachmayer, Roland}},
  title        = {{{Quantification of the material-related environmental impact of topology-optimized multi-material components}}},
  doi          = {{10.35199/dfx2022.01}},
  year         = {{2022}},
}

@inproceedings{44517,
  author       = {{Wurst, Johanna and Mozgova, Iryna and Lachmayer, Roland}},
  title        = {{{Sustainability Assessment of Products manufactured by the Laser Powder Bed Fusion (LPBF) Process}}},
  doi          = {{10.1016/j.procir.2022.02.040}},
  year         = {{2022}},
}

@inproceedings{44516,
  author       = {{Schneider, Jannik and Mozgova, Iryna and Lachmayer, Roland}},
  title        = {{{Life cycle cost impact of maintenance networks for product-service system fleets}}},
  doi          = {{10.1016/j.procir.2022.02.087}},
  year         = {{2022}},
}

@inproceedings{44511,
  author       = {{Altun, Osman and Kutay, Y and Mozgova, Iryna and Lachmayer, Roland}},
  title        = {{{Procedure to Create an Automated Design Environment for Functional Assemblies}}},
  doi          = {{10.1017/pds.2022.57}},
  year         = {{2022}},
}

@inproceedings{44508,
  author       = {{Sheveleva, Tatyana and Herrmann, Kevin and Wawer, Max Leo and Kahra, Christoph and Nürnberger, Florian and Koepler, Oliver and Mozgova, Iryna and Lachmayer, Roland and Auer, Sören}},
  title        = {{{Ontology-Based Documentation of Quality Assurance Measures Using the Example of a Visual Inspection}}},
  doi          = {{10.1007/978-3-031-16281-7_39}},
  year         = {{2022}},
}

@inbook{44519,
  author       = {{Lachmayer, Roland and Mozgova, Iryna}},
  booktitle    = {{Design Methodology for Future Products}},
  title        = {{{Technical Inheritance as an Approach to Data-Driven Product Development}}},
  doi          = {{10.1007/978-3-030-78368-6_3}},
  year         = {{2022}},
}

@inproceedings{44520,
  author       = {{Wurst, Johanna and Schneider, Jannik and Ehlers, Tobias and Mozgova, Iryna and Lachmayer, Roland}},
  title        = {{{Corporate Strategy Based Quantitative Assessment of Sustainability Indicators at the Example of a Laser Powder Bed Fusion Process}}},
  doi          = {{10.1007/978-981-16-6128-0_4}},
  year         = {{2022}},
}

@inproceedings{44506,
  author       = {{Wawer, Max Leo and Sheveleva, Tatyana and Koepler, Oliver and Nürnberger, Florian and Mozgova, Iryna}},
  title        = {{{Parametrization of a Hybrid Component Production Process Chain Based on Semantically Annotated Data. }}},
  doi          = {{10.15488/13290}},
  year         = {{2022}},
}

@inproceedings{44505,
  author       = {{Wurst, Johanna and Mozgova, Iryna and Lachmayer, Roland}},
  title        = {{{Normalization Matrix for Sustainability Assessments Considering the Laser Powder Bed Fusion Process}}},
  doi          = {{10.1007/978-3-031-05918-6_14}},
  year         = {{2022}},
}

@inproceedings{44507,
  author       = {{Dierend, Hauke and Altun, Osman and Mozgova, Iryna and Lachmayer, Roland}},
  title        = {{{Management of Research Field Data Within the Concept of Digital Twin}}},
  doi          = {{10.1007/978-3-031-16281-7_20}},
  year         = {{2022}},
}

@inproceedings{58301,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>The comprehensive implementation of digital technologies in product manufacturing leads to changes in engineering processes and requires new approaches to data management. An important role belongs to the processes of organizing the collection, storage and reuse of research data obtained and used in the process of product, system or technology development, taking into account the FAIR data principles. This article describes a Research Data Management System for the organization of documentation and measurement requests in the research and development of new oxygen-free production technologies.</jats:p>}},
  author       = {{Mozgova, Iryna and Altun, Osman and Sheveleva, T. and Castro, A. and Oladazimi, P. and Koepler, O. and Lachmayer, R. and Auer, S.}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  pages        = {{525--532}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Knowledge Annotation within Research Data Management System for Oxygen-Free Production Technologies}}},
  doi          = {{10.1017/pds.2022.54}},
  volume       = {{2}},
  year         = {{2022}},
}

@inproceedings{58297,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Manually exploring the solution space for different variants of a product for a given set of requirements is ineffective regarding product development time and adaptation to dynamic customer requirements. Variant generation coupled to optimization algorithms offers possibilities to search the solution space in an automated way. This paper provides a framework to build a generative parametric design environment for functional assemblies by implementing analysis as well as synthesis methods in computer-aided tools. The procedure is presented using the example of a coffee machine.</jats:p>}},
  author       = {{Altun, Osman and Yinanc, Kutay and Mozgova, Iryna and Lachmayer, Roland}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  pages        = {{553--562}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Procedure to Create an Automated Design Environment for Functional Assemblies}}},
  doi          = {{10.1017/pds.2022.57}},
  volume       = {{2}},
  year         = {{2022}},
}

@inbook{58299,
  author       = {{Dierend, Hauke and Altun, Osman and Mozgova, Iryna and Lachmayer, Roland}},
  booktitle    = {{Lecture Notes in Networks and Systems}},
  isbn         = {{9783031162800}},
  issn         = {{2367-3370}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Management of Research Field Data Within the Concept of Digital Twin}}},
  doi          = {{10.1007/978-3-031-16281-7_20}},
  year         = {{2022}},
}