Liquid distribution model based on a volume cell for a column with structured packing under permanent tilt and roll motions

2018 ◽  
Vol 182 ◽  
pp. 1-16 ◽  
Author(s):  
Yongho Son ◽  
Sangyoon Lee ◽  
Songhee Han ◽  
Donghyun Yang ◽  
Kwangjoon Min ◽  
...  
Keyword(s):  
Distribution Model ◽  
Liquid Distribution ◽  
Structured Packing ◽  
Model Based ◽  
Volume Cell

A new multi-scale model based on CFD and macroscopic calculation for corrugated structured packing column

AIChE Journal ◽  
2013 ◽  
Vol 59 (8) ◽  
pp. 3119-3130 ◽  
Author(s):  
B. Sun ◽  
L. He ◽  
B.T. Liu ◽  
F. Gu ◽  
C.J. Liu
Keyword(s):  
Scale Model ◽  
Structured Packing ◽  
Multi Scale ◽  
Model Based ◽  
Packing Column

scholarly journals SIS dynamic network model based on product semantics from the perspective of infectious disease dynamics

2021 ◽  
Vol 235 ◽  
pp. 03035
Author(s):  
jiaojiao Lv ◽  
yingsi Zhao
Keyword(s):  
Network Model ◽  
Purchase Intention ◽  
Recommendation System ◽  
Optimal Algorithm ◽  
Dynamic Network ◽  
Distribution Model ◽  
Recommendation Algorithm ◽  
Model Based ◽  
Dynamic Network Model ◽  
Recommendation Algorithms

Recommendation system is unable to achive the optimal algorithm, recommendation system precision problem into bottleneck. Based on the perspective of product marketing, paper takes the inherent attribute as the classification standard and focuses on the core problem of “matching of product classification and recommendation algorithm of users’ purchase demand”. Three hypotheses are proposed: (1) inherent attributes of the product directly affect user demand; (2) classified product is suitable for different recommendation algorithms; (3) recommendation algorithm integration can achieve personalized customization. Based on empirical research on the relationship between characteristics of recommendation information (independent variable) and purchase intention (dependent variable), it is concluded that predictability and difference of recommendation information are not fully perceived and stimulation is insufficient. Therefore, SIS dynamic network model based on the distribution model of SIS virus is constructed. It discusses the spreading path of recommendation information and “infection” situation of consumers to enhance accurate matching of recommendation system.

scholarly journals DGA and Weibull Distribution Model-based Transformer Fault Early Warning

2019 ◽  
Vol 569 ◽  
pp. 032072
Author(s):  
Pei Yang ◽  
Sen Pan ◽  
Jing Jiang ◽  
Wei Rao ◽  
Junfeng Qiao
Keyword(s):  
Weibull Distribution ◽  
Early Warning ◽  
Distribution Model ◽  
Model Based ◽  
Transformer Fault
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