An investigation into the implications of partial substitution of selenium with lead on the thermal properties for S60Se40-XPbX Chalcogenide Compound

doi:10.1088/1742-6596/2857/1/012007

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Publication Date

Tue Oct 01 2024

Journal Name

Journal Of Physics: Conference Series

Volume

2857

Issue Number

1

DOI

10.1088/1742-6596/2857/1/012007

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An investigation into the implications of partial substitution of selenium with lead on the thermal properties for S60Se40-XPbX Chalcogenide Compound

Engineering controlled terms Electric arc furnaces

Glass manufacture

Lead alloys

Melting point

Selenium compounds Engineering uncontrolled terms 950° C

Chalcogenide compound

Melting point method

Partial substitution

Property

Quartz ampoule

Quartz tubes

Rapid cooling

Thermal

Weight ratios Engineering main heading Heat flux

Kareem Ali Jasim

Mohamed Muthana

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AbstractThis study includes the manufacture of four ternary alloys represented S60Se40-XPbX with weight ratios x = 0, 10, 20, and 30 by the melting point method. The components of each alloy were mixed separately, then placed in quartz ampoules and vacuumed out with a vacuum of roger that 10−4 Torr. The ampule was heated in two stages to avoid sudden dissipation and precipitation of selenium on the inner mass of the quartz tube. The ampoule was gradually heated and kept at 450°C for approximately 4 hours followed by 950°C for 10 hours.at a rate of 10 degrees Celsius, the temperature of the electric furnace was increased, and then the ampoule was subjected to rapid cooling with cold water to reach a state of solidity glass-like. The research aims to investigate the effect of adding lead to selenium on the properties of thermal conductivity and heat flux density. It has been noted that the partial replacement of selenium with lead affected these properties significantly.

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Publication Date

Mon Jun 05 2023

Journal Name

Journal Of Economics And Administrative Sciences

Fuzzy Bridge Regression Model Estimating via Simulation

Fuzzy linear regression

Fuzzy least squares method

Fuzzy Bridge regression

multicollinearity

triangular fuzzy numbers

Variance Inflation Factor.

الانحدار الخطي الضبابي

طريقة المربعات الصغرى الضبابية

انحدار الجسر الضبابي

التعدد الخطي

الأرقام الضبابية المثلثية

عامل تضخم التباين.

Rawya

Mohammed

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The main problem when dealing with fuzzy data variables is that it cannot be formed by a model that represents the data through the method of Fuzzy Least Squares Estimator (FLSE) which gives false estimates of the invalidity of the method in the case of the existence of the problem of multicollinearity. To overcome this problem, the Fuzzy Bridge Regression Estimator (FBRE) Method was relied upon to estimate a fuzzy linear regression model by triangular fuzzy numbers. Moreover, the detection of the problem of multicollinearity in the fuzzy data can be done by using Variance Inflation Factor when the inputs variable of the model crisp, output variable, and parameters are fuzzed. The results were compared usin

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Publication Date

Thu Aug 01 2019

Journal Name

Journal Of Economics And Administrative Sciences

مقارنة مقدرات بيز لدالة المعولية لتوزيع باريتو من النوع الاول باستعمال دوال معلوماتية مضاعفة مختلفة

Pareto type I distribution

reliability function

bayes method

double prior distributions (chi-gamma square distribution. gamma- erlang distribution

erlang exponential distribution

the squared error loss function.

توزيع باريتو من النوع الاول

دالة المعولية

طريقة بيز

الدوال المعلوماتية المضاعفة : توزيع مربع كاي- كاما

توزيع كاما - ارلنك

التوزيع ارلنك- الاسي

دالة الخسارة التربيعية.

جنان عباس

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The comparison of double informative priors which are assumed for the reliability function of Pareto type I distribution. To estimate the reliability function of Pareto type I distribution by using Bayes estimation, will be used two different kind of information in the Bayes estimation; two different priors have been selected for the parameter of Pareto type I distribution . Assuming distribution of three double prior’s chi- gamma squared distribution, gamma - erlang distribution, and erlang- exponential distribution as double priors. The results of the derivaties of these estimators under the squared error loss function with two different double priors. Using the simulation technique, to compare the performance for

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