Traveling global instabilities on the HIFiRE-5 elliptic cone model flow

2014 ◽  
Author(s):  
Pedro Paredes ◽  
Vassilios Theofilis
Keyword(s):  
Cone Model ◽  
Model Flow ◽  
Elliptic Cone

Global Transient-Growth Analysis of Hypersonic Flow on the HIFiRE-5 Elliptic Cone Model

2019 ◽  
Author(s):  
Helio Ricardo Quintanilha Junior ◽  
Vassilis Theofilis ◽  
Ardeshir Hanifi
Keyword(s):  
Hypersonic Flow ◽  
Growth Analysis ◽  
Transient Growth ◽  
Cone Model ◽  
Elliptic Cone

STUDY OF VIBRATIONS IN A PLANE ANGULAR SECTOR OF POROELASTIC ELLIPTIC CONE

2012 ◽  
Vol 3 (2) ◽  
pp. 157-168 ◽  
Author(s):  
Rajitha Gurijala ◽  
Sandhya Rani Bandari ◽  
Malla Reddy Perati
Keyword(s):  
Angular Sector ◽  
Elliptic Cone

Karakteristik aliran dua fase pada saluran ekspansi tiba-tiba

2018 ◽  
Vol 11 (1) ◽  
pp. 7
Author(s):  
Latif Ngudi Wibawanto ◽  
Budi Santoso ◽  
Wibawa Endra Juwana
Keyword(s):  
Standard Deviation ◽  
Flow Pattern ◽  
Flow Characteristic ◽  
Homogeneous Model ◽  
Flow Equation ◽  
Pressure Recovery ◽  
Sudden Expansion ◽  
Air Velocity ◽  
Model Flow ◽  
Two Phases

This research was conducted to find out the flow characteristic of two phases through the channel with sudden expansion in the form of change of flow pattern and pressure recovery. The test was carried out with variation of superficial velocity of water 0.2-1.3 m / s and superficial air velocity of 0.2-1.9 m / s resulting in pattern of three flow patterns ie bubble, plug, and slug. The expansion channel resulted in some changes to the flow pattern that originally plugs in the upstream channel into bubble in the downstream channel and the slug becomes plug. Pressure recovery experimental results compared with the homogeneous model flow equation and Wadle correlation, both correlations have predictions with standard deviation values of 0.32 and 0.43.

Conical SNA using fuzzy k-medoids based on user experience

2021 ◽  
pp. 002072092098849
Author(s):  
Poonam Rani ◽  
MPS Bhatia ◽  
Devendra K Tayal
Keyword(s):  
Social Networks ◽  
Social Network ◽  
User Experience ◽  
Three Dimensional ◽  
Experimental Results ◽  
Dynamic Parameters ◽  
Clustering Method ◽  
Cone Model ◽  
Intelligent Approach ◽  
Conical Model

The paper presents an intelligent approach for the comparison of social networks through a cone model by using the fuzzy k-medoids clustering method. It makes use of a geometrical three-dimensional conical model, which astutely represents the user experience views. It uses both the static as well as the dynamic parameters of social networks. In this, we propose an algorithm that investigates which social network is more fruitful. For the experimental results, the proposed work is employed on the data collected from students from different universities through the Google forms, where students are required to rate their experience of using different social networks on different scales.

scholarly journals Correction to: Experimental investigation of blunt cone model at hypersonic Mach number 7.25

2021 ◽  
Vol 43 (7) ◽  
Author(s):  
Saiprakash Mani ◽  
C. Senthilkumar ◽  
G. Kadam Sunil ◽  
Singh Prakash Rampratap ◽  
V. Shanmugam ◽  
...  
Keyword(s):  
Experimental Investigation ◽  
Mach Number ◽  
Blunt Cone ◽  
Cone Model
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