Results 71 to 80 of about 36,146 (279)

Self-Diagnosis of Multiphase Flow Meters through Machine Learning-Based Anomaly Detection

Energies, 2020
Measuring systems are becoming increasingly sophisticated in order to tackle the challenges of modern industrial problems. In particular, the Multiphase Flow Meter (MPFM) combines different sensors and data fusion techniques to estimate quantities that ...
Tommaso Barbariol, Enrico Feltresi, Gian Antonio Susto   +2 more
doaj   +1 more source

Navigating Ternary Doping in Li‐ion Cathodes With Closed‐Loop Multi‐Objective Bayesian Optimization

Advanced Materials, EarlyView.
The search for advanced battery materials is pushing us into highly complex composition spaces. Here, a space with about 14 million unique combinations is efficiently explored using high‐throughput experimentation guided by Bayesian optimization with a deep kernel trained on both the Materials Project database and our data.
Nooshin Zeinali Galabi, Cheng‐Hao Liu, Moksh Jain, Marc Kamel, Shipeng Jia, Yoshua Bengio, Eric McCalla   +6 more
wiley   +1 more source

Wellhead Choke Performance for Multiphase Flowback: A Data-Driven Investigation on Shale Gas Wells

Energies
Wellhead choke performance is critical for flowback choke-size managements in unconventional gas wells. Most existing empirical correlations were originally developed for oil and gas flow, and their accuracy for gas/water multiphase flowback remains ...
Kundai Huang, Yingkun Fu, Yufei Guo
doaj   +1 more source

Microfluidic multiscale model of transport phenomena for engineering and interdisciplinary education applied to elements of a stirling engine [PDF]

, 2014
This paper was presented at the 4th Micro and Nano Flows Conference (MNF2014), which was held at University College, London, UK. The conference was organised by Brunel University and supported by the Italian Union of Thermofluiddynamics, IPEM, the ...
4th Micro and Nano Flows Conference (MNF2014), Krol, M   +1 more
core  

Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media

, 2018
Surrogate strategies are used widely for uncertainty quantification of groundwater models in order to improve computational efficiency. However, their application to dynamic multiphase flow problems is hindered by the curse of dimensionality, the ...
Mo, Shaoxing, Shi, Xiaoqing, Wu, Jichun, Zabaras, Nicholas, Zhu, Yinhao   +4 more
core   +1 more source

A momentum-conserving, consistent, Volume-of-Fluid method for incompressible flow on staggered grids [PDF]

, 2018
The computation of flows with large density contrasts is notoriously difficult. To alleviate the difficulty we consider a consistent mass and momentum-conserving discretization of the Navier-Stokes equation.
Arrufat, T., Crialesi-Esposito, M., Fuster, D., Ling, Y., Malan, L., Pal, S., Scardovelli, R., Tryggvason, G., Zaleski, S.   +8 more
core   +3 more sources

Lattice Structures for Bone Replacement: The Intersection of Bone Biomechanics, Lattice Design, and Additive Manufacturing

Advanced Materials Technologies, EarlyView.
This review outlines how understanding bone's biology, hierarchical architecture, and mechanical anisotropy informs the design of lattice structures that replicate bone morphology and mechanical behavior. Additive manufacturing enables the fabrication of orthopedic implants that incorporate such structures using a range of engineering materials ...
Stylianos Kechagias, Maxwell J. Munford, Frederik C.H. Masure, Richard J. van Arkel, Reece N Oosterbeek   +4 more
wiley   +1 more source

Evaluation of Machine Learning Assisted Phase Behavior Modelling of Surfactant–Oil–Water Systems

Applied Sciences
This paper evaluates the ability of machine learning (ML) algorithms to capture and reproduce complex multiphase behavior in surfactant–oil–water systems.
Daulet Magzymov, Meruyert Makhatova, Zhassulan Dairov, Murat Syzdykov   +3 more
doaj   +1 more source

Modelling and indirect field‐oriented control for pole phase modulation induction motor drives

IET Power Electronics, 2023
In the recent days, for the traction and electric vehicle (EV) applications, multiphase machines with pole phase modulation (PPM) technique have been proposed.
Atif Iqbal, B. Prathap Reddy, Syed Rahman, Mohammad Meraj   +3 more
doaj   +1 more source

Advances in Solid‐Phase Processing Techniques: Innovations, Applications, and Future Perspectives

Advanced Materials Technologies, EarlyView.
Based on practical manufacturing challenges, this review examines advanced solid‐phase processing techniques that overcome the inherent limitations of conventional melting‐based and traditional solid‐phase manufacturing, enabling the production of higher‐performance components at reduced cost through process innovation and improved supply‐chain ...
Tianhao Wang
wiley   +1 more source