Process control using AI on a digital twin of an extraction column in VR

Behr, Alexander S.; Neuendorf, Laura; Sakthithasan, Piriyanth; Boettcher, Konrad; Kockmann, Norbert

doi:10.1109/gecon55699.2022.9942788

Cited by 5 publications

(2 citation statements)

References 13 publications

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“…Countercurrent liquid‐liquid extraction uses multiple contacting stages. In countercurrent liquid‐liquid extraction columns, ideal plug flow is the desired flow pattern as it results in maximum concentration gradients between the phases, leading to high mass transfer rates 17, 18. Moreover, the larger the interfacial area between the two liquid phases, the better the substance transfer of the value component from the first, usually aqueous to the second, usually organic phase.…”

Section: Theorymentioning

confidence: 99%

AI‐Based Supervision for a Stirred Extraction Column Assisted with Population Balance‐Based Simulation

Neuendorf

Hammal²,

Fricke³

et al. 2023

Chemie Ingenieur Technik

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Solvent extraction as environmental benign separation technique can be modeled in physical detail by population balance of the droplet size distribution. However, much information on the droplet generation and coalescence is necessary for representative results. In this contribution, we present a comparison of AI-evaluated experimental and simulated data on the behavior of a stirred solvent extraction column with an inner diameter of 32 mm. Lab experiments were performed using the standard test system with n-butyl acetate, acetone, and deionized water. A digital camera is placed in front of the middle section as well as the head of the column. Droplet size evaluation is performed using a retrained neural net (Mask R-CNN). The stirred DN32 extraction column is modeled and simulated using a 1D CFD population balance software. The simulation allows for behavior analysis, trends comparison, and validation of the hydrodynamics and mass transfer performances.

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Section: Theorymentioning

confidence: 99%

AI‐Based Supervision for a Stirred Extraction Column Assisted with Population Balance‐Based Simulation

Neuendorf

Hammal²,

Fricke³

et al. 2023

Chemie Ingenieur Technik

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“…In [17] and [18], remote laboratories used notebooks to interact with remote equipment. In [55], notebooks were used as auxiliary tools in a digital twin laboratory. ''IoT Notebooks'' are proposed in [47], whose back-end part can detect, identify, and connect to physical IoT devices.…”

Section: Notebooksmentioning

confidence: 99%

Remote Labs Meet Computational Notebooks: An Architecture for Simplifying the Workflow of Remote Educational Experiments

Vanegas-Guillén,

Parra-Rosero,

Muñoz-Antón

et al. 2023

IEEE Access

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Online laboratories and computational notebooks have established themselves as essential tools in the fields of engineering and science education, significantly enhancing the teaching and learning experience. Despite the benefits of remote laboratories, and although architectures, models, and tools have been proposed to facilitate the work involved in their implementation, challenges remain in the development lifecycle. This paper proposes a novel architecture that simplifies the development and management of remote experiments using a publisher-subscriber communication paradigm to securely and efficiently integrate WebAssembly computational notebooks. This approach eliminates the need for additional infrastructure for communication at the lab stations. It also avoids the need for servers to deploy notebooks, because all operations, calculations, and data processing run locally in the user's web browser. To achieve this, a remote laboratory management system (RLMS) interoperable with virtual learning environments was designed and implemented, including notebook-based authoring, learning scenarios, and grading tools. As a case study, remote experiments were developed to characterize and evaluate the performance of heat exchangers using a thermal fluid systems test bench built for this project. Several quality criteria categorized into technical, educational, and adaptability groups were quantitatively evaluated using the responses of 70 participants from two different universities. The analysis highlighted both the advantages and challenges of the proposal, with a significant emphasis on interaction, scalability, reusability, interoperability, and accessibility. The results confirmed the effectiveness of the notebooks in each phase of the remote experiments, demonstrating an increase in students' active and autonomous participation and exploration.

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Uniting Knowledge and Application in a Hybrid Laboratory Experiment in Virtual Reality – A Cross-Reality Laboratory with Applications of Artificial Intelligence for Industry 4.0

Behr,

Neuendorf,

Sakthithasan

et al. 2023

Lecture Notes in Networks and Systems

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Process control using AI on a digital twin of an extraction column in VR

Cited by 5 publications

References 13 publications

AI‐Based Supervision for a Stirred Extraction Column Assisted with Population Balance‐Based Simulation

AI‐Based Supervision for a Stirred Extraction Column Assisted with Population Balance‐Based Simulation

Remote Labs Meet Computational Notebooks: An Architecture for Simplifying the Workflow of Remote Educational Experiments

Uniting Knowledge and Application in a Hybrid Laboratory Experiment in Virtual Reality – A Cross-Reality Laboratory with Applications of Artificial Intelligence for Industry 4.0

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