scholarly journals Temperature Effect on the Nanostructureof SDS Micelles in Water

2013 ◽  
Vol 118 ◽  
pp. 151 ◽  
Author(s):  
Boualem Hammouda
Keyword(s):  
Temperature Effect ◽  
Sds Micelles

Analysis of the high temperature effect in conical nozzle

2017 ◽  
Author(s):  
João Felipe de Araujo Martos ◽  
Paulo Toro ◽  
Israel Rêgo ◽  
sergio nicolás pachón laitón ◽  
Bruno Coelho Lima
Keyword(s):  
High Temperature ◽  
Temperature Effect ◽  
Conical Nozzle ◽  
High Temperature Effect

TEMPERATURE EFFECT ON MICROSTRUCTURAL ANALYSIS OF STEEL DURING HEAT TREATMENT

2020 ◽  
Author(s):  
SAMUEL BRITO ◽  
RODOLFO SOBRAL ◽  
Luiz Carlos Sacramento ◽  
Marcos Paulo de Souza Junior
Keyword(s):  
Heat Treatment ◽  
Temperature Effect ◽  
Microstructural Analysis

Study on Temperature Effect of Single Expansion Joint Bridge

2012 ◽  
Vol 18 (5) ◽  
pp. 1619-1626
Author(s):  
Yibin Zhao ◽  
Xudong Shao ◽  
Jia Li ◽  
Xiaoqin Jin ◽  
Jing Ma ◽  
...  
Keyword(s):  
Temperature Effect ◽  
Expansion Joint

Study on temperature effect of BOTDR-based optical fibers

2010 ◽  
Vol 24 (10) ◽  
pp. 929-934 ◽  
Author(s):  
Yong Zhang ◽  
Guangqing Wei ◽  
Bin Shi ◽  
Yi Lu
Keyword(s):  
Temperature Effect ◽  
Optical Fibers

A Novel Forecast Method for Air-Conditioning Load of Public Building Considering Accumulated Temperature Effect

2015 ◽  
Vol 9 (1) ◽  
pp. 363-367
Author(s):  
Qingshan Xu ◽  
Xufang Wang ◽  
Chenxing Yang ◽  
Hong Zhu ◽  
Qingguo Yan
Keyword(s):  
Neural Network ◽  
Temperature Effect ◽  
Air Conditioning ◽  
Forecast Accuracy ◽  
Power Network ◽  
Forecast Method ◽  
Elman Neural Network ◽  
Public Building ◽  
Effective Accumulated Temperature ◽  
Accumulated Temperature

It has great significance to estimate the schedulable capacity of air-conditioning load of public building for participating the power network regulation by forecasting the air-conditioning load accurately. A novel forecast method considering the accumulated temperature effect is proposed in this paper based on Elman neural network. Firstly, the starting and ending date for forecast considering the accumulated temperature effect are determined by providing the five day sliding average thermometer algorithm which is usually adopted in aerology research. Then, the effective accumulated temperature of each day is calculated. Finally, take the effective accumulated temperature, temperature and humidity into consideration, the air-conditioning load of public building in the forecast day is acquired by Elman neural network. Simulated results show that the higher forecast accuracy can be achieved by considering the accumulated temperature effect.

TEMPERATURE EFFECT ON THE STRUCTURE OF NdSr2Mn2O7+δ COMPLEX OXIDE

2020 ◽  
Vol 61 (12) ◽  
pp. 1924-1930
Author(s):  
O. M. Fedorova ◽  
L. B. Vedmid
Keyword(s):  
Temperature Effect ◽  
Complex Oxide
Sign in / Sign up

Export Citation Format

Share Document