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The Digital Twin Realization of an Ejector for Multiphase Flows

Giovanni Mazzuto, Filippo Emanuele Ciarapica, Marco Ortenzi, Maurizio Bevilacqua
2021 Energies  
ANNs have been identified as the most used tool for simulating the multiphase flow ejector.  ...  In this context, this work proposes a framework for developing a Digital Twin of an ejector installed in an experimental plant able to predict the future state of an item and the impact of negative scenarios  ...  For this reason, this section focuses on explaining what steps have been taken to develop a supervised simulation model based on machine learning algorithms.  ... 
doi:10.3390/en14175533 fatcat:duoseirlhzcozayct46qzosg5a

Modeling Multiphase Flow Through and Around Multiscale Deformable Porous Materials [article]

Francisco J. Carrillo
2021 arXiv   pre-print
Well established models based on poroelasticity theory exist for describing coupled fluid-solid mechanics.  ...  Detailed understanding of the coupling between fluid flow and solid deformation in porous media is crucial for the development biomedical devices and novel energy technologies relating to a wide range  ...  One way to address this problem is through the application of Machine Learning (ML) algorithms to analyze such large data sets.  ... 
arXiv:2109.09880v1 fatcat:h4rgdptzwza6nex7w7lfkmiglm

Automating multistep flow synthesis: approach and challenges in integrating chemistry, machines and logic

Chinmay A Shukla, Amol A Kulkarni
2017 Beilstein Journal of Organic Chemistry  
The implementation of automation in the multistep flow synthesis is essential for transforming laboratory-scale chemistry into a reliable industrial process.  ...  Subsequently, we have critically reviewed a few multistep flow synthesis and suggested a possible control strategy to be implemented so that it helps to reliably transfer the laboratory-scale synthesis  ...  Self-optimizing systems based on machine learning are the new hot topic in flow chemistry literature.  ... 
doi:10.3762/bjoc.13.97 pmid:28684977 pmcid:PMC5480366 fatcat:43blrwgv5jaddpntgkvcl77hia

A Critical Review of Supersonic Flow Control for High-Speed Applications

Abdul Aabid, Sher Afghan Khan, Muneer Baig
2021 Applied Sciences  
As a result, this review can serve as guidance and an opportunity for scholars who want to use an active control approach via microjets for supersonic flow problems.  ...  Several studies have been reported on flow control with sudden expansion duct.  ...  Acknowledgments: This research is supported by the Structures and Materials (S&M) Research Lab of Prince Sultan University.  ... 
doi:10.3390/app11156899 fatcat:rpkftpnhz5guvhsv4757uwqgei

Particle-Laden Flows [chapter]

S Balachandar
2012 Handbook of Environmental Fluid Dynamics, Volume One  
The size of particle clusters plays an important role in the calculation of the collision kernel, which is commonly used in many multiphase flow models.  ...  While analyzing the data for these experiments, we consistently see a delay in the dynamical effects of the flow on the concentrations.  ...  I thank Gerald for the design of the chamber, Freek for his help on electronics and data acquisition, and Ad for his guidance on all things PIV.  ... 
doi:10.1201/b14241-37 fatcat:djgzep5lgrfy3bcgzmq5sbje3q

Kick detection and remedial action in managed pressure drilling: a review

Mohammad Mojammel Huque, Syed Imtiaz, Aziz Rahman, Mohamed Hossain
2020 SN Applied Sciences  
This research focused on a systematic review of kick detection and mitigation in MPD operation.  ...  Oil industries are always searching for innovative drilling technologies to optimize field development process in a complex structure.  ...  Machine learning uses a different mathematical model on a sample data point or "training data," the model about the system and its response.  ... 
doi:10.1007/s42452-020-2962-2 fatcat:hzmsd6bei5hk3fmwve5j6qt6qm

Harnessing the power of machine learning for carbon capture, utilisation, and storage (CCUS) – A state-of-the-art review

Yongliang (Harry) Yan, Tohid Borhani, Gokul Subraveti, Nagesh Pai, Vinay Prasad, Arvind Rajendran, Paula Nkulikiyinka, Jude Odianosen Asibor, Zhien Zhang, Ding Shao, Lijuan Wang, Wenbiao Zhang (+7 others)
2021 Energy & Environmental Science  
Carbon Capture Utilisation and Storage (CCUS) will play a critical role in future decarbonisation efforts to meet the Paris Agreement targets and mitigate the worst effects of climate change.  ...  Experiments were conducted under both steady-state and dynamic flow conditions. For steady-state flow conditions, the mass flowrate was set from 200 to 3100 kg/h while the GVF was from 0%-84%.  ...  The required data to develop ML models were extracted from first principle steady-state and dynamic models developed in gPROMS ® .  ... 
doi:10.1039/d1ee02395k fatcat:oherbaerwfcarc744bn77pu77y

The Stabilized Explicit Variable-Load Solver with Machine Learning Acceleration for the Rapid Solution of Stiff Chemical Kinetics [article]

Kyle Buchheit, Opeoluwa Owoyele, Terry Jordan, Dirk Van Essendelft
2019 arXiv   pre-print
While the complexity of these particular machine learning models is not high by modern standards, the impact on computational efficiency should not be ignored.  ...  In this study, a fast and stable machine-learned hybrid algorithm implemented in TensorFlow for the integration of stiff chemical kinetics is introduced.  ...  Acknowledgements This research was performed under an appointment to the National Energy Technology Laboratory, administered by the Oak Ridge Institute for Science and Education under contract number DE-SC0014664  ... 
arXiv:1905.09395v3 fatcat:6m4z4jdkandonavjg5zoajbaai

A salt tracer test monitored with surface ERT to detect preferential flow and transport paths in fractured/karstified limestones

Tanguy Robert, David Caterina, John Deceuster, Olivier Kaufmann, Frédéric Nguyen
2012 Geophysics  
Gasperl, Torrent and Avalanche Control (WLV), Section Upper Austria, for providing additional funding for the installation of the DMS system in Gschliefgraben, supplying a lot of additional data and for  ...  Potzmann, Central Institute for Meteorology and Geodynamics (ZAMG) for allocating the meteorological data from the station Wolfsegg i. Hausruck.  ...  Steady-state seepage analysis Steady-state analysis is aimed at providing in-situ soil condition of the investigated cover in a specific period of the hydrological year.  ... 
doi:10.1190/geo2011-0313.1 fatcat:nspfrh2nfrcx3nm46udkfrz6ya

Reviewing the Modeling Aspects and Practices of Shallow Geothermal Energy Systems

Paul Christodoulides, Ana Vieira, Stanislav Lenart, João Maranha, Gregor Vidmar, Rumen Popov, Aleksandar Georgiev, Lazaros Aresti, Georgios Florides
2020 Energies  
difficulties; (iv) a short-term vs. long-term analysis depending on the thermal storage characteristics of GHE of different sizes; (v) the influence of groundwater that can have a moderating effect on  ...  These include: (i) the boundary conditions, in the form of temperature variation or heat flow, that majorly affect the predicted thermal behavior of SGES; (ii) the spatial dimensions that may be crucial  ...  Such a package could include a wide range of mathematical models with the assistance of machine learning techniques to select the most appropriate model per study case.  ... 
doi:10.3390/en13164273 fatcat:56iygury45d5tomf3titqhosbq

A Review of Kernel Methods for Feature Extraction in Nonlinear Process Monitoring

Karl Ezra Pilario, Mahmood Shafiee, Yi Cao, Liyun Lao, Shuang-Hua Yang
2019 Processes  
Kernel methods are a class of learning machines for the fast recognition of nonlinear patterns in any data set.  ...  First, we describe the reasons for using kernel methods and contextualize them among other machine learning tools.  ...  Figure 7 shows an example of a data set taken from the multiphase flow facility at Cranfield University [18] , which exhibits multi-modality on the air flow measurements.  ... 
doi:10.3390/pr8010024 fatcat:7qnidseekjgj5epeceaezzggrm

High-resolution high-speed void fraction measurements in helically coiled tubes using X-ray radiography

David Breitenmoser, Annalisa Manera, Horst-Michael Prasser, Robert Adams, Victor Petrov
2021 Nuclear Engineering and Design  
A B S T R A C T Helical coil heat exchangers are known for their superior heat transfer, compactness and robustness against thermal expansion compared to systems with straight pipes.  ...  In the present paper, high-resolution measurements of the void fraction distribution for an adiabatic upward air-water two-phase flow were conducted in a transparent helically coiled acrylic pipe by means  ...  Acknowledgments The work presented herein was supported by the US Department of Energy's Nuclear Energy Advanced Modeling and Simulation (NEAMS) program as part of the Steam Generator Flow Induced Vibration  ... 
doi:10.1016/j.nucengdes.2020.110888 fatcat:nnisdf4abrcanf5xvwcmsz5c7e

Global and local parameters for characterizing and modeling external corrosion in underground coated steel pipelines: A review of critical factors

Changkyu Kim, Lin Chen, Hui Wang, Homero Castaneda
2021 Journal of Pipeline Science and Engineering  
A multiscale approach is used to integrate factors identified from field measurements, laboratory testing, and data-driven and computer-based models.  ...  This work also reviews the critical parameters and approaches used for deterministic, semi-empirical, probabilistic, and data-driven modeling, defining the scope of global versus local factors for external  ...  Acknowledgements The authors would like to acknowledge the support by the United States Department of Transportation (USDOT) Pipeline and Hazardous Materials Safety Administration (PHMSA) Office of Pipeline  ... 
doi:10.1016/j.jpse.2021.01.010 fatcat:t5zpo4on5ffezittoxi5tcoxz4

Modeling of thermochemical conversion of waste biomass – a comprehensive review

Sinhara M.H.D. Perera, Chathuranga Wickramasinghe, B.K.T. Samarasiri, Mahinsasa Narayana
2021 Biofuel Research Journal  
This review study investigates all above mentioned important aspects and features of the existing models for all established industrial thermochemical conversion processes with emphasis on waste biomass  ...  However, there is a research gap that needs to be explored to elaborate the scale of applicability, limitations, accuracy, validity, and special features of each model.  ...  Reactor model Biomass source Kinetic Model Reference Reactor type and model description Main simplifying assumptions A 2D steady-state model for On-Grate MSW incineration was Steady-state operation.  ... 
doi:10.18331/brj2021.8.4.3 fatcat:7k4s32ti4ngi3jvhijwfvloqeq

Control Systems with Tomographic Sensors—A Review

Jaroslav Hlava, Shereen Abouelazayem
2022 Sensors  
These advantages open new perspectives for the field of process control, and the potential of closed-loop control applications is one of the main driving forces behind the development of industrial tomography  ...  This article provides an overview of the current state-of-the-art in the field of control systems with tomographic sensors.  ...  If the steady-state values are calculated using an inaccurate model, there is no way to compensate for this, and steady-state control error appears.  ... 
doi:10.3390/s22082847 pmid:35458833 pmcid:PMC9032538 fatcat:prudfelcbfebdhsea3e2mw45b4
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