An Aprotic Polar Solvent, Diglyme, Combined with Monoethanolamine to Form CO2 Capture Material: Solubility Measurement, Model Correlation, and Effect Evaluation

2015 ◽  
Vol 54 (13) ◽  
pp. 3430-3437 ◽  
Author(s):  
Weijia Huang ◽  
Yue Mi ◽  
Yun Li ◽  
Danxing Zheng

2021 ◽  
Vol 899 ◽  
pp. 337-341
Author(s):  
Diana H. Takova ◽  
Ludmila S. Lamashvili ◽  
Ludmila L. Dubovitskaya

Investigated the synthesis of polyphenylene sulfide in the environment of an aprotic polar solvent based on p-dichlorobenzene and p-dibromobenzene according to the nature comonomer rating. Infrared spectroscopy and thermogravimetric analysis of the obtained samples are presented.



2014 ◽  
Vol 1033-1034 ◽  
pp. 1377-1380
Author(s):  
Tie Jun Tao ◽  
Jian Hua Zhang ◽  
En An Chi ◽  
Ming Sheng Zhao ◽  
Qiang Kang

In order to resolve the uncertainty problem of influence factors in effect evaluation of bench blasting, the effect evaluation model of bench blasting based on uncertainty measurement theory was built, then this model was used to evaluate the bench blasting effect in Hongshuitai flat engineering. The evaluation results show that: the information entropy and confidence identifying criterion were respectively used to ascertain the evaluation index weight and identifying criterion, by these ways, the evaluation results of this model are more objective; and the evaluation index can be selected flexibly according to actual situation, the calculation of evaluation model is simple, so the evaluation results can offer decision basis for blasting workers to make timely adjustment of the blasting scheme.



1990 ◽  
Vol 112 (4) ◽  
pp. 468-472 ◽  
Author(s):  
W. Heylen ◽  
T. Janter

The modal assurance criterion (MAC) in general measures the degree of proportion between two (modal) vectors, in the form of a correlation coefficient of a least squares ratio estimate. The MAC principle can be extended in several ways, thus increasing its field of applications. The partial MAC (PMAC) correlates parts of (modal) vectors. The spatial MAC (SMAC) allows to compare different vector spaces. Furthermore this paper suggests a way of calculating the MAC sensitivities to model changes. All those extensions are illustrated by their possible uses in correlating measured dynamic data with (finite element) matrix models and in the area of model updating. Those applications might be helpful tools to indicate regions of poor measurement-model correlation, to complete measured vectors, to judge approximate eigenvalue solvers, or to improve model updating procedures.









2020 ◽  
Vol 318 ◽  
pp. 114035
Author(s):  
Zidan Gao ◽  
Zhili Li ◽  
Mingyan Li ◽  
Zhirong Wang ◽  
Rui Zhou ◽  
...  


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