✦ LIBER ✦

Predicting the velocity distribution of Rushton turbine impeller in mixing of polymeric liquids using fuzzy neural network models

✍ Scribed by Aminian, Ali; Jahangiri, Mansour

Book ID: 125375296
Publisher: Springer US
Year: 2014
Tongue: English
Weight: 591 KB
Volume: 31
Category: Article
ISSN: 0256-1115
DOI: 10.1007/s11814-013-0255-9

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Improving the prediction of liquid back-

Improving the prediction of liquid back-mixing in trickle-bed reactors using a neural network approach

✍ Simon Piché; Faïçal Larachi; Ion Iliuta; Bernard P A Grandjean 📂 Article 📅 2002 🏛 Wiley (John Wiley & Sons) 🌐 English ⚖ 209 KB

## Abstract Current correlations aimed at estimating the extent of liquid back‐mixing, via an axial dispersion coefficient, in trickle‐bed reactors continue to draw doubts on their ability to conveniently represent this important macroscopic parameter. A comprehensive database containing 973 liquid

Prediction of the Selectivity Coefficien

Prediction of the Selectivity Coefficient of Ionic Liquids in Liquid-Liquid Equilibrium Systems Using Artificial Neural Network and Excess Gibbs Free Energy Models

✍ Dehnavi, Seyed Mohsen; Pazuki, Gholamreza; Goodarznia, Iraj; Vossoughi, Manouche 📂 Article 📅 2010 🏛 Taylor and Francis Group 🌐 English ⚖ 749 KB

[American Institute of Aeronautics and A

[American Institute of Aeronautics and Astronautics 33rd AIAA Fluid Dynamics Conference and Exhibit - Orlando, Florida ()] 33rd AIAA Fluid Dynamics Conference and Exhibit - Prediction of Velocity Distribution in the Mixing Region of Swirl Sprays Using Neural Network Implementation

✍ Soltani, Mohammad; Ghorbanian, Kaveh; Ashjaee, Mehdi 📂 Article 📅 2003 🏛 American Institute of Aeronautics and Astronautics ⚖ 435 KB

[IFIP Advances in Information and Commun

[IFIP Advances in Information and Communication Technology] Artificial Intelligence Applications and Innovations Volume 381 || Position and Velocity Predictions of the Piston in a Wet Clutch System during Engagement by Using a Neural Network Modeling

✍ Iliadis, Lazaros; Maglogiannis, Ilias; Papadopoulos, Harris 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg ⚖ 432 KB