The Formation Mechanism and Step Coverage Quality of Tetraethylorthosilicate ‐ SiO2 Films Studied by the Micro/Macrocavity Method

1993 ◽  
Vol 140 (10) ◽  
pp. 2952-2959 ◽  
Author(s):  
Tetsuji Sorita ◽  
Satoru Shiga ◽  
Kazuyuki Ikuta ◽  
Yasuyuki Egashira ◽  
Hiroshi Komiyama
Keyword(s):  
Formation Mechanism ◽  
Sio2 Films ◽  
Step Coverage ◽  
Coverage Quality

Comparative Study on the Step Coverage Quality of Cu Film by SCFD and CVD

2019 ◽  
Vol 25 (8) ◽  
pp. 1199-1206
Author(s):  
Yukihiro Shimogaki ◽  
Takeshi Momose ◽  
Masakazu Sugiyama
Keyword(s):  
Comparative Study ◽  
Step Coverage ◽  
Cu Film ◽  
Coverage Quality

scholarly journals Coverage, quality of and barriers to postnatal care in rural Hebei, China: a mixed method study

2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Li Chen ◽  
Wu Qiong ◽  
Michelle Helena van Velthoven ◽  
Zhang Yanfeng ◽  
Zhang Shuyi ◽  
...  
Keyword(s):  
Mixed Method ◽  
Postnatal Care ◽  
Mixed Method Study ◽  
Coverage Quality

scholarly journals Customer’s Satisfaction toward Robi Axiata Limited: Study on Rajshahi University Area

2021 ◽  
pp. 48-55
Keyword(s):  
Mobile Phone ◽  
Value Added ◽  
Mobile Users ◽  
Area Network ◽  
Mobile Telecommunication ◽  
Asian Countries ◽  
Coverage Quality ◽  
Network Quality ◽  
Customer Services

The beginning of the telecommunication business has been appealing not on time in Bangladesh when to compare Asian countries. The mobile telecommunication of serving is repetition on a yearly basis over the last two or three years. Now in our country four mobile phone operators, one is Robi. Most of the companies are offering diverse innovative packages and offer charge added services for satisfying the customer’s needs &demands. This research is the main objective to find out Customer’s satisfaction with Robi Axiata Limited in the Rajshahi University area. There are different ways which have an effect on the performance. The aim of this paper is to search crucial issues which regularly control the more level of performance of mobile users in the Rajshahi University area. Network of coverage, quality of the network, quality of internet, taxes, customer services, value-added services, payment system; encouraging offers are the utmost valuable issues that feelings customer fulfillment. Robi carries their work till now because of their different 4.5 packages.

scholarly journals Formation Mechanism of Trailing Oil in Product Oil Pipeline

Processes ◽  
2018 ◽  
Vol 7 (1) ◽  
pp. 7 ◽  
Author(s):  
Enbin Liu ◽  
Wensheng Li ◽  
Hongjun Cai ◽  
Shanbi Peng
Keyword(s):  
Formation Mechanism ◽  
Diesel Oil ◽  
Flow Speed ◽  
Oil Pipeline ◽  
Computational Fluid Dynamics Cfd ◽  
The Dead ◽  
Predicted Values ◽  
New Equation ◽  
Mixed Oil

Trailing oil is the tail section of contamination in oil pipelines. It is generated in batch transportation, for which one fluid, such as diesel oil follows another fluid, such as gasoline, and it has an effect on the quality of oil. This paper describes our analysis of the formation mechanism of trailing oil in pipelines and our study of the influence of dead-legs on the formation of trailing oil. We found that the oil replacement rate in a dead-leg is exponentially related to the flow speed, and the length of the dead-leg is exponentially related to the replacement time of the oil. To reduce the amount of mixed oil, the main flow speed should be kept at about 1.6 m/s, and the length of the dead-leg should be less than five times the diameter of the main pipe. In our work, the Reynolds time-averaged method is used to simulate turbulence. To obtain contamination-related experimental data, computational fluid dynamics (CFD) software is used to simulate different flow rates and bypass lengths. MATLAB software was used to perform multi-nonlinear regression for the oil substitution time, the length of the bypass, and the flow speed. We determined an equation for calculating the length of the trailing oil contamination produced by the dead-leg. A modified equation for calculating the length of the contamination was obtained by combining the existing equation for calculating the length of the contamination with new factors based on our work. The amounts of contamination predicted by the new equation is closer to the actual contamination amounts than predicted values from other methods suggested by previous scholars.

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