scholarly journals Analysis of Correlation between Density Variations and Defect Structure of W6+ : LiTaO3

2018 ◽  
Vol 63 (4) ◽  
pp. 347 ◽  
Author(s):  
M. Tahiri ◽  
A. Jennane ◽  
N. Masaif ◽  
E. M. Lemdek ◽  
E. M. Lotfi
Keyword(s):  
Ternary System ◽  
Solid Solutions ◽  
Theoretical Approach ◽  
Defect Structure ◽  
Dopant Concentration ◽  
Lithium Tantalate ◽  
Experimental Results ◽  
Substitution Mechanism

We investigate the defect structure of non-stoichiometric solid solutions of WO3-doped LiTaO3 in correlation with the evolution of the density within our theoretical approach. The dopant concentration and the mechanism of substitution, which depends of the ionic rays of different cations that exit into the network, have an effect on crystalline parameters and, consequently, on the density. In order to explain the defect structure of solid solutions synthesized in the ternary system Li2O–Ta2O5–(WO3)2 in a vicinity of LiTaO3,, we have shown a convergence between theoretical and experimental results by the application of our theoretical approach combined with the new proposed vacancy models. We conclude that the new vacancy models are able to describe the defect structure and the substitution mechanism in each solid solutions of WO3-doped lithium tantalate.

Study of Electrical Conductivity in WO3-doped Nonstoichiometric LiTaO3

2012 ◽  
Vol 57 (8) ◽  
pp. 834
Author(s):  
M. Tahiri ◽  
N. Masaif ◽  
A. Jennane ◽  
E.M. Lotfi
Keyword(s):  
Experimental Data ◽  
Electrical Conductivity ◽  
Ternary System ◽  
Curie Temperature ◽  
Solid Solutions ◽  
Theoretical Approach ◽  
Defect Structure ◽  
Experimental Conductivity ◽  
Theoretical Results ◽  
Good Agreement

The results of experimental and analytical studies of the electrical conductivity for different solid solutions synthesized in a vicinity of LiTaO3 in the ternary system Li2O–Ta2O5–(WO3)2 are presented. It is shown that the electrical conductivity increases linearly with the Curie temperature. The experimental conductivity between 200 and 700 ºC was measured using an LCR bridge HP4192A on ceramics sintered at 1250 ºC. Within the theoretical approach to the defect structure analysis combined with our proposed vacancy models, the theoretical results are in a good agreement with the experimental data.

Defect Structure and Ionic Transport in the MF2-RF3 (M = Ba, Sr; R = La - Lu, Y, Sc) Solid Solutions

2003 ◽  
Vol 90-91 ◽  
pp. 439-444 ◽  
Author(s):  
Viera Trnovcová ◽  
N.I. Sorokin ◽  
P.P. Fedorov ◽  
L.S. Garashina ◽  
E.A. Krivandina ◽  
...  
Keyword(s):  
Solid Solutions ◽  
Defect Structure ◽  
Ionic Transport

scholarly journals The Addition of N-Butanol in Ethanol-Isooctane Mixture to Reduce Vapor Pressure of Oxygenated-Gasoline Blend

2017 ◽  
Vol 17 (3) ◽  
pp. 500 ◽  
Author(s):  
Rendra Panca Anugraha ◽  
Zul Akbar Andi Picunang ◽  
Annas Wiguno ◽  
Rizky Tetrisyanda ◽  
Kuswandi Kuswandi ◽  
...  
Keyword(s):  
Experimental Data ◽  
Ternary System ◽  
Vapor Pressure ◽  
Binary Systems ◽  
Experimental Results ◽  
Ideal Solution ◽  
Positive Deviation ◽  
Relative Deviation ◽  
Wilson Model ◽  
Binary Parameter

In this work, vapor pressure of binary systems for isooctane + ethanol, isooctane + n-butanol and ethanol + n-butanol and ternary system for isooctane + ethanol + n-butanol were measured in the temperature range from 313.15 to 318.15 K using the inclined ebulliometer. The experimental results showed that the existence of n-butanol in isooctane decreases the vapor pressure of mixture, while increasing n-butanol fraction in ternary isooctane-ethanol-n-butanol mixture decreased vapor pressure of mixture. Experimental data for binary systems studied were correlated with Wilson, NRTL and UNIQUAC models with average relative deviation (ARD) of 3.5%. The optimized binary parameter pairs obtained in this work were used to estimate the ternary system. The Wilson model gave the best performance for estimation of ternary system with ARD of 5.4%. All systems studied showed non-ideal solution with positive deviation from Raoult’s law.

Diffusion of Refractory Elements in Ternary Iron Alloys

2008 ◽  
Vol 273-276 ◽  
pp. 746-751
Author(s):  
Kouji Yamashita ◽  
Tomonori Kunieda ◽  
Koutarou Takeda ◽  
Yoshinori Murata ◽  
Toshiyuki Koyama ◽  
...  
Keyword(s):  
Ternary System ◽  
Interdiffusion Coefficient ◽  
Iron Alloys ◽  
Experimental Results ◽  
Diffusion System ◽  
Ternary Alloys ◽  
Attractive Interaction ◽  
Refractory Elements ◽  
The Cross ◽  
Interdiffusion Coefficients

Interdiffusion coefficients of the refractory elements in Fe-W-Re and Fe-Cr-X (X=Mo, W) ternary alloys have been measured on the basis of the modified Boltzmann-Matano method for ternary system. Both the cross interdiffusion coefficients, Fe ReW ~D and Fe WRe ~D were negative in Fe-W-Re ternary alloys. This result indicates that attractive interaction exists between W and Re atoms in iron alloys [1]. This is consistent with our previous experimental results that Re suppresses W diffusion in Fe-15Cr alloy [1]. In addition, the value of cross interdiffusion coefficient Fe CrW ~D was positive in Fe-Cr-W diffusion system, whereas Fe MoCr ~D was negative in Fe-Cr-Mo diffusion system.

scholarly journals Parameter Reductions of Bipolar Fuzzy Soft Sets with Their Decision-Making Algorithms

Symmetry ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 949 ◽  
Author(s):  
Ghous Ali ◽  
Muhammad Akram ◽  
Ali N. A. Koam ◽  
José Carlos R. Alcantud
Keyword(s):  
Decision Making ◽  
Pattern Recognition ◽  
Theoretical Approach ◽  
Experimental Results ◽  
Soft Sets ◽  
Parameter Reduction ◽  
Reduction Techniques ◽  
Making Choices ◽  
Exact Degree ◽  
Fuzzy Soft Sets

Parameter reduction is a very important technique in many fields, including pattern recognition. Many reduction techniques have been reported for fuzzy soft sets to solve decision-making problems. However, there is almost no attention to the parameter reduction of bipolar fuzzy soft sets, which take advantage of the fact that membership and non-membership degrees play a symmetric role. This methodology is of great importance in many decision-making situations. In this paper, we provide a novel theoretical approach to solve decision-making problems based on bipolar fuzzy soft sets and study four types of parameter reductions of such sets. Parameter reduction algorithms are developed and illustrated through examples. The experimental results prove that our proposed parameter reduction techniques delete the irrelevant parameters while keeping definite decision-making choices unchanged. Moreover, the reduction algorithms are compared regarding the degree of ease of computing reduction, applicability, exact degree of reduction, applied situation, and multi-use of parameter reduction. Finally, a real application is developed to describe the validity of our proposed reduction algorithms.

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