Real-Time Prediction of Curing Processes using Model Order Reduction Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.1016/j.ifacol.2020.12.273
Manifold engineering applications are directly affected by temperature. For rubber or composite curing processes, temperature distributions over time inside the compounds are crucial for chemical cross-linking reactions. Most of these reactions occur subsequently to a heating process during product cool down. Online prediction of cooling phases is performed during the actual heating process and hence, final cure status can be estimated before the actual process finishes. Therefore, mold temperatures and heating duration can be adapted in regard to current ambient conditions, and hence product quality is increased. In order to achieve longterm thermal predictions for complex product geometries, simulating nonlinear thermal finite element models is unfeasible, due to high computational effort. Hence, a prediction-model is derived from finite element analysis using matrix export, linearization, model order reduction algorithms such as rational Krylov or iterative rational Krylov and correction of operating point deviation. A special remark is given to temperature dependent boundary conditions, choice of time discretization and choice of solving algorithm, to address arising conflicting goals between execution time and simulation accuracy. Eventually, a complete process simulation is performed during the task-cycle time on a PLC control with a sufficiently high accuracy.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.ifacol.2020.12.273
- OA Status
- diamond
- Cited By
- 3
- References
- 17
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3154451610
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3154451610Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.ifacol.2020.12.273Digital Object Identifier
- Title
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Real-Time Prediction of Curing Processes using Model Order ReductionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
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2020-01-01Full publication date if available
- Authors
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Tobias Frank, Henrik Zeipel, Mark Wielitzka, Steffen Bosselmann, Tobias OrtmaierList of authors in order
- Landing page
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https://doi.org/10.1016/j.ifacol.2020.12.273Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.ifacol.2020.12.273Direct OA link when available
- Concepts
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Discretization, Finite element method, Model order reduction, Computer science, Linearization, Reduction (mathematics), Nonlinear system, Thermal, Process (computing), Control theory (sociology), Applied mathematics, Mathematical optimization, Algorithm, Mathematics, Engineering, Thermodynamics, Structural engineering, Mathematical analysis, Projection (relational algebra), Geometry, Artificial intelligence, Physics, Operating system, Control (management), Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
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2025: 1, 2023: 1, 2020: 1Per-year citation counts (last 5 years)
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17Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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