A 3D Approach for the Virtual Commissioning of Processing Plants
This paper presents a novel 3D approach for virtual commissioning (VC) in process engineering, utilizing a semi-automated model generation methodology based on 3D MCAD data. Current VC practices primarily benefit larger manufacturing systems due to the complexity and time-intensive nature of model g...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10857298/ |
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| author | Nikolai Striffler Tobias Voigt |
| author_facet | Nikolai Striffler Tobias Voigt |
| author_sort | Nikolai Striffler |
| collection | DOAJ |
| description | This paper presents a novel 3D approach for virtual commissioning (VC) in process engineering, utilizing a semi-automated model generation methodology based on 3D MCAD data. Current VC practices primarily benefit larger manufacturing systems due to the complexity and time-intensive nature of model generation, which poses challenges for broader adoption, especially in small and medium-sized enterprises. Our approach addresses this by proposing a 3D simulation model architecture that integrates physics-based simulation environments, enabling efficient and accurate generation of dynamic simulation models. By leveraging a physics engine, the proposed method automatically derives essential parameters and system topology, thereby significantly reducing the manual modeling effort. The simulation model is designed to depict complex fluid and material flows within a 3D environment, facilitating realistic, real-time interaction and improved visualization for VC. This paper further evaluates the method’s accuracy through a representative case study involving a liquid food processing setup, demonstrating high fidelity in dynamic behavior and alignment with physical processes. The results indicate that this approach offers substantial potential for improving virtual engineering and commissioning workflows, enhancing simulation model fidelity, and promoting interdisciplinary collaboration in process plant development. This development promises an adaptable, user-friendly tool that can advance the integration of VC in diverse engineering fields, particularly where hybrid production processes intersect. |
| format | Article |
| id | doaj-art-361815483c5a4bc295fcc842f72e8056 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-361815483c5a4bc295fcc842f72e80562025-02-05T00:01:02ZengIEEEIEEE Access2169-35362025-01-0113211902120910.1109/ACCESS.2025.353608810857298A 3D Approach for the Virtual Commissioning of Processing PlantsNikolai Striffler0https://orcid.org/0009-0009-6713-789XTobias Voigt1https://orcid.org/0000-0003-4473-5271School of Life Sciences, Technical University of Munich, Weihenstephan, Bavaria, GermanySchool of Life Sciences, Technical University of Munich, Weihenstephan, Bavaria, GermanyThis paper presents a novel 3D approach for virtual commissioning (VC) in process engineering, utilizing a semi-automated model generation methodology based on 3D MCAD data. Current VC practices primarily benefit larger manufacturing systems due to the complexity and time-intensive nature of model generation, which poses challenges for broader adoption, especially in small and medium-sized enterprises. Our approach addresses this by proposing a 3D simulation model architecture that integrates physics-based simulation environments, enabling efficient and accurate generation of dynamic simulation models. By leveraging a physics engine, the proposed method automatically derives essential parameters and system topology, thereby significantly reducing the manual modeling effort. The simulation model is designed to depict complex fluid and material flows within a 3D environment, facilitating realistic, real-time interaction and improved visualization for VC. This paper further evaluates the method’s accuracy through a representative case study involving a liquid food processing setup, demonstrating high fidelity in dynamic behavior and alignment with physical processes. The results indicate that this approach offers substantial potential for improving virtual engineering and commissioning workflows, enhancing simulation model fidelity, and promoting interdisciplinary collaboration in process plant development. This development promises an adaptable, user-friendly tool that can advance the integration of VC in diverse engineering fields, particularly where hybrid production processes intersect.https://ieeexplore.ieee.org/document/10857298/Automatic simulation model generationobject-oriented modelingindustry 4.0interdisciplinary engineeringlife sciencesphysics-based simulation |
| spellingShingle | Nikolai Striffler Tobias Voigt A 3D Approach for the Virtual Commissioning of Processing Plants IEEE Access Automatic simulation model generation object-oriented modeling industry 4.0 interdisciplinary engineering life sciences physics-based simulation |
| title | A 3D Approach for the Virtual Commissioning of Processing Plants |
| title_full | A 3D Approach for the Virtual Commissioning of Processing Plants |
| title_fullStr | A 3D Approach for the Virtual Commissioning of Processing Plants |
| title_full_unstemmed | A 3D Approach for the Virtual Commissioning of Processing Plants |
| title_short | A 3D Approach for the Virtual Commissioning of Processing Plants |
| title_sort | 3d approach for the virtual commissioning of processing plants |
| topic | Automatic simulation model generation object-oriented modeling industry 4.0 interdisciplinary engineering life sciences physics-based simulation |
| url | https://ieeexplore.ieee.org/document/10857298/ |
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