Oxygen mass transfer in biopharmaceutical processes: numerical and experimental approaches

S Seidel, RW Maschke, S Werner… - Chemie Ingenieur …, 2021 - Wiley Online Library
Oxygen supply in aerobic bioprocesses is of crucial importance. For this reason, this paper
presents the oxygen demand of different cells and summarizes experimental and numerical …

The machine learning life cycle in chemical operations–status and open challenges

M Gärtler, V Khaydarov, B Klöpper… - Chemie Ingenieur …, 2021 - Wiley Online Library
Artificial intelligence (AI) has received a lot of attention with many publications in recent
years. Interestingly related projects in the industry are mostly still in their early stages. We …

BubCNN: Bubble detection using Faster RCNN and shape regression network

T Haas, C Schubert, M Eickhoff, H Pfeifer - Chemical Engineering Science, 2020 - Elsevier
Detailed knowledge about gas-liquid multiphase flows is important to optimize industrial
systems. Imaging with image processing is the most commonly used measurement …

A deep learning-based image processing method for bubble detection, segmentation, and shape reconstruction in high gas holdup sub-millimeter bubbly flows

Y Cui, C Li, W Zhang, X Ning, X Shi, J Gao… - Chemical Engineering …, 2022 - Elsevier
The sub-millimeter bubble technique can enhance the gas–liquid inter-phase mass transfer
by significantly reducing the bubble size and increasing the gas–liquid interfacial area. To …

[HTML][HTML] Bubble patterns recognition using neural networks: Application to the analysis of a two-phase bubbly jet

I Poletaev, MP Tokarev, KS Pervunin - International journal of multiphase …, 2020 - Elsevier
Gas-liquid two-phase bubbly flows are found in different areas of science and technology
such as nuclear energy, chemical industry, or piping systems. Optical diagnostics of two …

Machine learning shadowgraph for particle size and shape characterization

J Li, S Shao, J Hong - Measurement Science and Technology, 2020 - iopscience.iop.org
Conventional image processing for a particle shadow image is usually time-consuming and
suffers degraded image segmentation when dealing with images consisting of complex …

BubGAN: Bubble generative adversarial networks for synthesizing realistic bubbly flow images

Y Fu, Y Liu - Chemical Engineering Science, 2019 - Elsevier
Bubble segmentation and size detection algorithms have been developed in recent years for
their high efficiency and accuracy in measuring bubbly two-phase flows. In this work, we …

Magnetic phase separation in microgravity

Á Romero-Calvo, Ö Akay, H Schaub, K Brinkert - npj Microgravity, 2022 - nature.com
The absence of strong buoyancy forces severely complicates the management of
multiphase flows in microgravity. Different types of space systems, ranging from in-space …

End-to-End Bubble Size Distribution Detection Technique in Dense Bubbly Flows Based on You Only Look Once Architecture

M Chen, C Zhang, W Yang, S Zhang, W Huang - Sensors, 2023 - mdpi.com
Accurate measurements of the bubble size distribution (BSD) are crucial for investigating
gas–liquid mass transfer mechanisms and describing the characteristics of chemical …

Machine Learning Assisted Characterization of Local Bubble Properties and Its Coupling with the EMMS Bubbling Drag

N Jin, S Hu, X Liu, L Guo - Industrial & Engineering Chemistry …, 2024 - ACS Publications
Empirical correlations for bubble diameter and velocity are incapable of predicting the local
bubble behaviors fairly because the impact of local hydrodynamics on bubbles in fluidized …