Outlining the impact of thermal radiation on micropolar nanofluid viscous dissipative flow: A spectral method based numerical simulation with regression analysis

2020 ◽  
Author(s):  
V. K. Sinha ◽  
B. Kumar ◽  
G. S. Seth ◽  
R. Nandkeolyar
Keyword(s):  
Numerical Simulation ◽  
Regression Analysis ◽  
Thermal Radiation ◽  
Spectral Method ◽  
Dissipative Flow ◽  
Micropolar Nanofluid ◽  
The Impact

scholarly journals Numerical Simulation on Convection and Thermal Radiation of Casson Fluid in an Enclosure with Entropy Generation

Entropy ◽  
2020 ◽  
Vol 22 (2) ◽  
pp. 229 ◽  
Author(s):  
A. K. Alzahrani ◽  
S. Sivasankaran ◽  
M. Bhuvaneswari
Keyword(s):  
Numerical Simulation ◽  
Aspect Ratio ◽  
Thermal Radiation ◽  
Entropy Generation ◽  
Energy Transport ◽  
Casson Fluid ◽  
Radiation Parameter ◽  
Fluid Parameter ◽  
The Impact ◽  
Thermal Energy Transport

The goal of the current numerical simulation is to explore the impact of aspect ratio, thermal radiation, and entropy generation on buoyant induced convection in a rectangular box filled with Casson fluid. The vertical boundaries of the box are maintained with different constant thermal distribution. Thermal insulation is executed on horizontal boundaries. The solution is obtained by a finite volume-based iterative method. The results are explored over a range of radiation parameter, Casson fluid parameter, aspect ratio, and Grashof number. The impact of entropy generation is also examined in detail. Thermal stratification occurs for greater values of Casson liquid parameters in the presence of radiation. The kinetic energy grows on rising the values of Casson liquid and radiation parameters. The thermal energy transport declines on growing the values of radiation parameter and it enhances on rising the Casson fluid parameter.

scholarly journals A numerical simulation for magnetohydrodynamic nanofluid flow and heat transfer in rotating horizontal annulus with thermal radiation

RSC Advances ◽  
2019 ◽  
Vol 9 (39) ◽  
pp. 22185-22197 ◽  
Author(s):  
Yeping Peng ◽  
Ali Sulaiman Alsagri ◽  
Masoud Afrand ◽  
R. Moradi
Keyword(s):  
Magnetic Field ◽  
Heat Transfer ◽  
Numerical Simulation ◽  
Thermal Radiation ◽  
Axial Magnetic Field ◽  
Nanofluid Flow ◽  
Flow And Heat Transfer ◽  
The Impact

The impact of an axial magnetic field on the heat transfer and nanofluid flow among two horizontal coaxial tubes in the presence of thermal radiation was considered in this study.

Entropy generation in magneto nanofluid flow with Joule heating and thermal radiation

2020 ◽  
Vol 17 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Mohamed Almakki ◽  
Hiranmoy Mondal ◽  
Precious Sibanda
Keyword(s):  
Thermal Radiation ◽  
Viscous Dissipation ◽  
Entropy Generation ◽  
Joule Heating ◽  
Transfer Model ◽  
Nanofluid Flow ◽  
Content Type ◽  
Flow Equations ◽  
Micropolar Nanofluid ◽  
The Impact

Purpose This paper aims to investigate entropy generation in an incompressible magneto-micropolar nanofluid flow over a nonlinear stretching sheet. The flow is subjected to thermal radiation and viscous dissipation. The energy equation is extended by considering the impact of the Joule heating term because of an imposed magnetic field. Design/methodology/approach The flow, heat and mass transfer model are solved numerically using the spectral quasilinearization method. An analysis of the performance of this method is given. Findings It is found that the method is robust, converges fast and gives good accuracy. In terms of the physically significant results, the authors show that the irreversibility caused by the thermal diffusion the dominants other sources of entropy generation and the surface contributes significantly to the total irreversibility. Originality/value The flow is subjected to a combination of a buoyancy force, viscous dissipation, Joule heating and thermal radiation. The flow equations are solved numerically using the spectral quasiliearization method. The impact of a range of physical and chemical parameters on entropy generation, velocity, angular velocity, temperature and concentration profiles are determined. The current results may help in industrial applicants. The present problem has not been considered elsewhere.

Solow economy model

2019 ◽  
pp. 150-157
Author(s):  
Oleksandr Synenko ◽  
Kateryna Yarema ◽  
Yuliia Bezsmertna
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Solow Model ◽  
Economy Model ◽  
Accelerated Depreciation ◽  
Basic Parameters ◽  
The Subject ◽  
Investment Process ◽  
The Impact ◽  
Model Algorithm

The subject of the research is the approach to the possibility of using the Solow model to perform the regression analysis on the example of the Ukrainian economy model. The purpose of writing this article is to investigate the notion of regres- sion analysis, Solow’s economy model, algorithm for performing regression analy- sis on the example of Ukraine’s economy model. This model can be adapted for the economy of enterprises. Methodology. The research methodology is system-struc- tural and comparative analyzes (to study the structure of GDP); monograph (when studying methods of regression analysis on the example of the Ukrainian economy); economic analysis (when assessing the impact of factors on Ukraine’s GDP). The scientific novelty consists the features of the use of the Solow model on the ex- ample of Ukrainian economy are determined. An algorithm for calculating the basic parameters of a model using the Excel application package is disclosed. The main recommendations on the development of the national economy and economic growth through the use of macroeconomic instruments are given. Conclusions. The use of the Solow model enables forecasting and analysis. The results obtained re- vealed the problem of low resource return of capital as a resource, along with the means of macroeconomic regulation of the investment process, using which can improve the situation. A special place in these funds belongs to the accelerated depreciation and interest rate policies.

Агрономическая эффективность промышленной (голландской) технологии возделывания картофеля

2018 ◽  
Author(s):  
C. Coy ◽  
A.V. Shuravilin ◽  
O.A. Zakharova
Keyword(s):  
Heavy Metals ◽  
Regression Analysis ◽  
Positive Response ◽  
Growth Yield ◽  
Correlation And Regression Analysis ◽  
Yield And Quality ◽  
Quality Of Products ◽  
High Degree ◽  
The Impact

Приведены результаты исследований по изучению влияния промышленной технологии возделывания картофеля на развитие, урожайность и качество продукции. Выявлена положительная реакция растений на подкормку K2SO4 в период посадки. Корреляционно-регрессионный анализ урожайности и качества клубней выявил высокую степень достоверности результатов опыта. Содержание нитратов и тяжелых металлов в клубнях было ниже допустимых величин.The results of studies on the impact of industrial technology of potato cultivation on growth, yield and quality of products. There was a positive response of plants to fertilizer K2SO4 in the period of planting. Correlation and regression analysis of yield and quality of tubers revealed a high degree of reliability of the results of experience. The contents of nitrates and heavy metals in tubers was below the permissible values.

Pengungkapan Corporate Social Responsibility (CSR) dan Kinerja Keuangan Perusahaan dengan Pengungkapan Anti Korupsi sebagai Variabel Moderasi

2019 ◽  
Vol 13 (2) ◽  
Author(s):  
Arief Hidayatullah Khamainy ◽  
Dessy Novitasari Laras Asih
Keyword(s):  
Regression Analysis ◽  
Financial Performance ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Analysis Technique ◽  
Study Population ◽  
Csr Disclosure ◽  
Corporate Social ◽  
The Impact

The research was carried out to find the influence of training material and methods of training toward workability. The study was conducted respectively from an employee of PD BPR Bantul Yogyakarta. The purpose of this research is expected to be useful for stakeholders in seeing CSR disclosure in the company in testing and analyzing its effect on the company's financial performance and with the presence of anti-corruption exposure, whether it will strengthen the impact of CSR disclosure on the company's financial performance. The study population in this study were all mining companies registered on the Indonesia Stock Exchange in 2016-2018 with a total of 63 companies. The research sample was taken using a random sampling technique that was calculated by the Slovin formula so that 54 samples were obtained for analysis. Linear Regression Analysis and Moderation Regression Analysis were chosen as the analysis technique used in this study. The results show that CSR disclosure does not affect the company's financial performance, and anti-corruption disclosure does not affect the relationship between the two.

Pengaruh Employee Engagement dan Employee Value Proposition terhadap Kinerja

2020 ◽  
Vol 13 (2) ◽  
Author(s):  
Murti Sumarni
Keyword(s):  
Regression Analysis ◽  
Path Analysis ◽  
Employee Engagement ◽  
Reliability And Validity ◽  
Value Proposition ◽  
Validity Test ◽  
Employee Value ◽  
Branch Office ◽  
The Impact ◽  
Research Analysis

The aim of this research was focused to determine the impact of Employee Engagement and Employee Value Proposition to Performance. The reliability and validity test was conducted to 30 respondents and the result showed that all questions item were proven valid and reliable to be used in further research analysis. Populations in this research were the employees of PT. Bank Mega, Tbk. Branch Office Semarang. Questionnaire wasused to collect the data in the amount of 50 respondents. This research used SPSS to analyze and the result of the regression analysis indicated that the Employee Engagement and Employee Value Proposition had a significant effect to Performance. The result of Path Analysis indicated that Employee Value Proposition could be a moderating variable between the impact of Employee Engagement to Performance.

Impact of Training and Development Programmes on the Productivity of Employees in the Banks

2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Jaspreet Kaur
Keyword(s):  
Regression Analysis ◽  
Banking Sector ◽  
Human Resources Management ◽  
Training And Development ◽  
Linear Forms ◽  
Knowledge And Skills ◽  
Resources Management ◽  
Level Of Satisfaction ◽  
Log Linear ◽  
The Impact

Manpower training and development is an important aspect of human resources management which must be embarked upon either proactively or reactively to meet any change brought about in the course of time. Training is a continuous and perennial activity. It provides employees with the knowledge and skills to perform more effectively. The study examines the opinions of trainees regarding the impact of training and development programmes on the productivity of employees in the selected banks. To evaluate the impact of training and development programmes on productivity of banking sector, multiple regression analysis was employed in both log as well as log-linear forms. Also the impact of three sets of training i.e. objectives, methods and basics on level of satisfaction of respondents with the training was also examined through employing the regression analysis in the similar manner.

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