Search Results - "Gellrich, Sebastian"
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Combining Simulation and Machine Learning as Digital Twin for the Manufacturing of Overmolded Thermoplastic Composites
Published in Journal of Manufacturing and Materials Processing (01-09-2020)“…The design and development of composite structures requires precise and robust manufacturing processes. Composite materials such as fiber reinforced…”
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Journal Article -
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Machine learning and simulation-based surrogate modeling for improved process chain operation
Published in International journal of advanced manufacturing technology (01-12-2021)“…In this contribution, a concept is presented that combines different simulation paradigms during the engineering phase. These methods are transferred into the…”
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Journal Article -
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Virtual Quality Gates in Manufacturing Systems: Framework, Implementation and Potential
Published in Journal of Manufacturing and Materials Processing (09-11-2020)“…Manufacturing companies are exposed to increased complexity and competition. To stay competitive, companies need to minimize the total cost of quality while…”
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Journal Article -
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Integrated computational product and production engineering for multi-material lightweight structures
Published in International journal of advanced manufacturing technology (01-10-2020)“…Within product development processes, computational models are used with increasing frequency. However, the use of those methods is often restricted to the…”
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Journal Article -
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Feature Selection Based on Visual Analytics for Quality Prediction in Aluminium Die Casting
Published in 2019 IEEE 17th International Conference on Industrial Informatics (INDIN) (01-07-2019)“…Digital transformation is regarded as a key enabler for quality management in the modern casting industry. By uncovering parameters that affect the casting…”
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Conference Proceeding -
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Conceptual Framework for manufacturing data preprocessing of diverse input sources
Published in 2019 IEEE 17th International Conference on Industrial Informatics (INDIN) (01-07-2019)“…The manufacturing industry today is experiencing a never seen increase in available data. These data compromise a variety of different formats, semantics, and…”
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Conference Proceeding