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Review of the empirical correlations for the drag coefficient of rigid spheres
WRA Goossens - Powder Technology, 2019 - Elsevier
Empirical correlations relating the drag coefficient of spheres to the Reynolds number are
qualitatively reviewed with the focus on the presumed mathematical expressions used in the …
qualitatively reviewed with the focus on the presumed mathematical expressions used in the …
Artificial intelligence techniques and their applications in drilling fluid engineering: A review
For an oil well to be said to have been successfully and conclusively drilled, the drilling fluid
lies at the heart of the solution. Therefore, the guarantee to solving issues in oil well drilling …
lies at the heart of the solution. Therefore, the guarantee to solving issues in oil well drilling …
GPTIPS 2: an open-source software platform for symbolic data mining
DP Searson - Handbook of genetic programming applications, 2015 - Springer
Genetic programming (GP; Koza 1992) is a biologically inspired machine learning method
that evolves computer programs to perform a task. It does this by randomly generating a …
that evolves computer programs to perform a task. It does this by randomly generating a …
[KNIHA][B] Multiphase flow handbook
E Michaelides, CT Crowe, JD Schwarzkopf - 2016 - books.google.com
The Multiphase Flow Handbook, Second Edition is a thoroughly updated and reorganized
revision of the late Clayton Crowe's work, and provides a detailed look at the basic concepts …
revision of the late Clayton Crowe's work, and provides a detailed look at the basic concepts …
Improved monthly runoff time series prediction using the CABES-LSTM mixture model based on CEEMDAN-VMD decomposition
D Xu, A Liao, W Wang, W Tian… - Journal of Hydroinformatics, 2024 - iwaponline.com
Accurate runoff prediction is vital in efficiently managing water resources. In this paper, a
hybrid prediction model combining complete ensemble empirical mode decomposition with …
hybrid prediction model combining complete ensemble empirical mode decomposition with …
A new model for predicting drag coefficient and settling velocity of spherical and non-spherical particle in Newtonian fluid
X Song, Z Xu, G Li, Z Pang, Z Zhu - Powder Technology, 2017 - Elsevier
The settling process of particles occurs in many natural and industrial processes and the
knowledge of drag coefficient and settling velocity of spherical and non-spherical particles is …
knowledge of drag coefficient and settling velocity of spherical and non-spherical particles is …
Drag coefficients of non-spherical and irregularly shaped particles
The knowledge of simple and relatively accurate closure equations for the drag coefficients
of nonspherical particles is very important for Eulerian multiphase numerical codes that …
of nonspherical particles is very important for Eulerian multiphase numerical codes that …
Groundwater level estimation using improved deep learning and soft computing methods
Estimating groundwater level (GWL) is an important issue for planning and managing
available water resources. This study uses monthly data from 86 observation wells from …
available water resources. This study uses monthly data from 86 observation wells from …
[HTML][HTML] Explicit solutions for turbulent flow friction factor: A review, assessment and approaches classification
The Colebrook–white equation is widely used in many fields, like civil engineering for
calculation of water distribution systems and in all fields of engineering where fluid flow can …
calculation of water distribution systems and in all fields of engineering where fluid flow can …
Study of the performance of support vector machine for predicting vertical drop hydraulic parameters in the presence of dual horizontal screens
In the present study, the performance of the support vector machine for estimating vertical
drop hydraulic parameters in the presence of dual horizontal screens has been investigated …
drop hydraulic parameters in the presence of dual horizontal screens has been investigated …