Pennsylvania salient of the Appalachians: A two-azimuth transport model based on new compilations of Piedmont data

Geology ◽  
2004 ◽  
Vol 32 (9) ◽  
pp. 777 ◽  
Author(s):  
Donald U. Wise
Keyword(s):  
Transport Model ◽  
Model Based

scholarly journals Bio-inspired Microfluidic Devices for Passive, Directional Liquid Transport: Model-based Adaption for Different Materials

2015 ◽  
Vol 120 ◽  
pp. 106-111 ◽  
Author(s):  
Gerda Buchberger ◽  
Florian Hischen ◽  
Philipp Comanns ◽  
Richard Baumgartner ◽  
Alexander Kogler ◽  
...  
Keyword(s):  
Transport Model ◽  
Microfluidic Devices ◽  
Liquid Transport ◽  
Model Based

scholarly journals A Second-Order Turbulence Model Based on a Reynolds Stress Approach for Two-Phase Flow—Part I: Adiabatic Cases

2009 ◽  
Vol 2009 ◽  
pp. 1-14 ◽  
Author(s):  
S. Mimouni ◽  
F. Archambeau ◽  
M. Boucker ◽  
J. Laviéville ◽  
C. Morel
Keyword(s):  
Liquid Phase ◽  
Reynolds Stress ◽  
Turbulence Model ◽  
Two Phase Flow ◽  
Turbulence Modeling ◽  
Transport Model ◽  
Phase Flow ◽  
Two Phase ◽  
Model Based ◽  
Reynolds Stress Transport Model

In our work in 2008, we evaluated the aptitude of the code Neptune_CFD to reproduce the incidence of a structure topped by vanes on a boiling layer, within the framework of the Neptune project. The objective was to reproduce the main effects of the spacer grids. The turbulence of the liquid phase was modeled by a first-orderK-εmodel. We show in this paper that this model is unable to describe the turbulence of rotating flows, in accordance with the theory. The objective of this paper is to improve the turbulence modeling of the liquid phase by a second turbulence model based on aRij-εapproach. Results obtained on typical single-phase cases highlight the improvement of the prediction for all computed values. We tested the turbulence modelRij-εimplemented in the code versus typical adiabatic two-phase flow experiments. We check that the simulations with the Reynolds stress transport model (RSTM) give satisfactory results in a simple geometry as compared to aK-εmodel: this point is crucial before calculating rod bundle geometries where theK-εmodel may fail.

Transport model based on three-dimensional cross-section generation for TRIGA core analysis

2010 ◽  
Vol 37 (9) ◽  
pp. 1254-1260
Author(s):  
N. Kriangchaiporn ◽  
K. Ivanov ◽  
A. Haghighat ◽  
C.F. Sears
Keyword(s):  
Cross Section ◽  
Transport Model ◽  
Three Dimensional ◽  
Core Analysis ◽  
Model Based

Model Transportasi dan Terapannya dalam Optimalisasi Biaya Distribusi Beras Miskin di Kota Makassar oleh Perum Bulog Sub Divre Makassar Tahun 2016

2020 ◽  
Vol 2 (2) ◽  
pp. 126
Author(s):  
Rahmat Syam ◽  
S. Sukarna ◽  
Muh Nahdi Alim Asyhari
Keyword(s):  
Approximation Method ◽  
Transport Model ◽  
Initial Solution ◽  
Balance Model ◽  
Transportation Model ◽  
Stepping Stone ◽  
Model Based

Penelitian ini membahas tentang model transportasi dan terapannya pada distribusi Beras Miskin (Raskin) di Kota Makassar oleh Perum Bulog Sub Divre Makassar. Data distribusi Raskin di Kota Makassar tahun 2016 diformulasikan dengan Model Transportasi. Berdasarkan model tersebut diperoleh keseimbangan model, dan tabel transportasi distribusi Raskin,. Dengan Metode Least Cost (LC) dan Vogel’s Approximation Method (VAM) diperoleh solusi awal yang fisibel. Berdasarkan perhitungan solusi awal yang fisibel diperoleh solusi optimum menggunakan Metode Batu Loncatan (Stepping Stone Method). Selanjutnya disimulasikan menggunakan aplikasi Pom for Windows. Hasil penelitian ini menunjukkan bahwa dengan penerapan Model Transportasi terjadi penghematan biaya distribusi raskin di kota Makassar tahun 2016 sebesar 1,7% dibandingkan hasil perhitungan Perum Bulog Sub Divre Makassar.Kata Kunci: Model Transportasi, Least Cost (LC), Vogel’s Approximation Method (VAM), Metode Batu Loncatan, Distribusi Raskin, This study discusses the transportation model and its application on the stock of Rice Poor (Raskin) in Makassar City by Perum Bulog Sub Divre Makassar. Data is processed by Transport Model. Based on the model is generated a balance model, and export table Raskin distribution,. By method. (LC) and Vogel's Approximation Method (VAM) obtained a feasible initial solution. The method using the stepping stone method (Stepping Stone method). It is then simulated using the Pom for Windows application. The results of this study indicate with the application of Transportation Model. In the year. Year 2016 amounted to 1.7% of the calculation of Perum Bulog Sub Divre Makassar.Keywords: Transportation Model, Least Cost (LC), Vogel’s Approximation Method (VAM), Stepping Stone Method, Distribution Raskin.

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