Oxygen mass transfer in biopharmaceutical processes: numerical and experimental approaches
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 …
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 …
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 …
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
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 …
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 …
such as nuclear energy, chemical industry, or piping systems. Optical diagnostics of two …
Machine learning shadowgraph for particle size and shape characterization
Conventional image processing for a particle shadow image is usually time-consuming and
suffers degraded image segmentation when dealing with images consisting of complex …
suffers degraded image segmentation when dealing with images consisting of complex …
BubGAN: Bubble generative adversarial networks for synthesizing realistic bubbly flow images
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 …
their high efficiency and accuracy in measuring bubbly two-phase flows. In this work, we …
Magnetic phase separation in microgravity
The absence of strong buoyancy forces severely complicates the management of
multiphase flows in microgravity. Different types of space systems, ranging from in-space …
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 …
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 …
bubble behaviors fairly because the impact of local hydrodynamics on bubbles in fluidized …