scholarly journals Numerical simulation for thermal conductivity of nanograin within three dimensions

2018 ◽  
Vol 22 (Suppl. 2) ◽  
pp. 449-457 ◽  
Author(s):  
Ya-Fen Han ◽  
Hai-Dong Liu ◽  
Xue Chen

In order to improve the accuracy of simulation, the lattice Boltzmann method was adopted to get the thermal conductivities of 3-D nanograins. For the wide application, the length of nanograins axis is between 1 nm to 9 nm, and the diameter ratio of gap to spherical segment is 0.2 to 0.9, 30 sets of results of numerical simulation were taken. Correlations were fitted from the results of numerical simulation by multiple linear regression analysis. Then, in the range of temperature between 294 K to 700 K, the temperature value was taken every 50 K. Then final fitted formula of thermal conductivity for nanograins was got by the binomial fitting method. The results of fitted formula agree well with the numerical results. The results show that the thermal conductivities decrease with the diameter of nanograins reducing within the 3-D spherical segment when the diameter ratio, ?, of the gap to spherical segment is fixed. The effective thermal conductivities would increase with the ratio, ?, increasing when the spherical segment diameter is fixed and the ratio is lower than 0.6. The thermal conductivities would remarkably decrease when the ratio is larger 0.6.

2017 ◽  
Vol 38 (1) ◽  
pp. 56-73 ◽  
Author(s):  
Dainelis Cabeza Pulles ◽  
Francisco Javier LLorens Montes ◽  
Leopoldo Gutierrez-Gutierrrez

Purpose The purpose of this paper is to study the relationship between network ties (NT) and transactive memory systems (TMS), observed through three dimensions – specialization (TMSS), credibility (TMSCR), and coordination (TMSCO) – in the presence of leadership (LDR) as a moderating variable, in university research-and-development (R&D) groups. Design/methodology/approach The data are composed of 257 university R&D groups. To confirm the hypotheses, the authors use multiple linear regression analysis with a moderating effect. Findings The conclusions show that the relationships between NT and two of the three dimensions of TMS (TMSCR and TMSCO) are significant when LDR is included as a moderating variable. Although the effect of TMSS is positive, it is not significant. Including the interaction element enables better explanation of two of the dimensions of TMS in the sector analyzed. Thus, LDR is perfectly applicable to the university R&D environment. Research limitations/implications This research has several limitations that suggest further possibilities for empirical research. The limitations include the cross-sectional nature of the research and the judgment of a single manager as the basis of the perception analyzed for each group. Practical implications The authors provide several implications for R&D practitioners. The results of this study could be validated in other universities in other geographic areas, enabling better generalization and applicability of the results. The results described may serve as a guide for group leaders of university R&D. This research helps us to see the importance of LDR in forming internal research networks that help researchers to perform common projects in order to obtain better results in the group. Thus, the groups provided better results to society. Originality/value No studies have tested the moderating effect of LDR in university R&D empirically. The results provide information to fill this gap and demonstrate the applicability of LDR as a key element in the organization, improvement, and cohesion of R&D groups.


2021 ◽  
Vol 1 (12) ◽  
Author(s):  
Anthon S.Y. Kerihi ◽  
Yohanes Demu ◽  
Herly M. Oematan

Accurate regional financial management, transparency, and accountability are urgent needs in the framework of the implementation of clean and responsible local government in order to achieve good governance. Internal control is designed to provide adequate confidence about the achievement of three dimensions: effective and efficient, accountability reports and compliance with applicable provisions. This research aims to know and analyze: 1) the effect of the effectiveness of internal control on the performance of regional heads, 2) the influence of governance implementation on the performance of regional heads and 3) the effect of the effectiveness of internal control and the simultaneous implementation of governance on the performance of regional heads. This type of research is quantitative research. The sampling technique in this study is purposive sampling using a sample of 15 SKPD in Kupang Regency. OPD and each OPD selected 3 respondents (head of OPD, Finance section and Banwas) so that 45 respondents were obtained. The data collection techniques in this study used questionnaires. The data analysis technique in this study used multiple linear regression analysis. The data sources used are primary data and secondary data. The results of this study show that 1) the effectiveness of internal control affects the performance of regional heads in the Kupang Regency Government, 2) The implementation of government governance affects the performance of regional heads in the Kupang Regency Government, and 3) The effectiveness of internal control and the implementation of government governance affect simultaneously on the performance of the kupang regency government.


2020 ◽  
Vol 2 (1) ◽  
pp. 112-125
Author(s):  
Ni Wayan Suartini Ningsih ◽  
Ni Made Yudhaningsih

As a hospitality business can not be separated from error or service failure. so companies need to handle the failure of the service with service recovery program embodied with three dimensions of procedural justice, interactional justice and distributive justice. This study aims to Determine the influence of procedural justice, interactional justice distributive justice on customer satisfaction at Rama Candidasa Hotel. This study used 80 samples, the method of collecting data through questionnaires. Data analysis was performed with multiple linear regression analysis,test f  test t and the previous determination has been tested the validity and reliability.The results showed by the F-test is procedural justice, interactional justice and distributive justice have positive and significant impact on customer satisfaction at Rama Candidasa Hotel. From the results of correlation analysis this shows thata positive and very powerful relationship between procedural justice, interactional justice and distributive justice with customer satisfaction. Where the condition shows the higher the value of procedural justice, interactional justice and distributive justice, that make the higher the value of customer satisfaction and same as the other way. From result of determination analysis (R2) obtained coefficient of determination equal to 64,4%, which means that customer satisfaction is true result from influence of procedural justice, interactional justice and distributive justiceequal to 64,4%, while 35,6% influenced by other factor. Furthermore, based on T-test results obtained that the distributive justice has greater influence and stronger than procedural justice and interactional justice.


2012 ◽  
Vol 134 (5) ◽  
Author(s):  
Steven R. Mart ◽  
Stephen T. McClain ◽  
Lesley M. Wright

Many flows of engineering interest are bounded by surfaces that exhibit roughness with thermal conductivities much lower than common metals and alloys. Depending on the local roughness element convection coefficients, the low thermal conductivities of the roughness elements may create situations where temperature changes along the heights of the elements are important and must be considered in predicting the overall surface convection coefficient. The discrete-element model (DEM) for flows over rough surfaces was recently adapted to include the effects of internal conduction along the heights of ordered roughness elements. While the adapted DEM provided encouraging agreement with the available data, more data are required to validate the model. To further investigate the effects of roughness element thermal conductivity on convective heat transfer and to acquire more experimental data for DEM validation, four wind tunnel test plates were made. The test plates were constructed using Plexiglas and Mylar film with a gold deposition layer creating a constant flux boundary condition with steady state wind tunnel measurements. The four test plates were constructed with hexagonal distributions of hemispheres or cones made of either aluminum or ABS plastic. The plates with hemispherical elements had element diameters of 9.53 mm and a spacing-to-diameter ratio of 2.099. The plates with conical elements had base element diameters of 9.53 mm and a spacing-to-base-diameter ratio of 1.574. An infrared camera was used to measure the temperature of the heated plates in the Baylor Subsonic Wind Tunnel for free stream velocities ranging from 2.5 m/s to 35 m/s (resulting in Reynolds number values ranging from 90,000 to 1,400,000 based on the distance from the knife-edge to the center of the infrared camera image) in turbulent flow. At lower Reynolds numbers, the thermal conductivity of the roughness elements is a primary factor in determining the heat transfer enhancement of roughness distributions. At the higher Reynolds numbers investigated, the hemispherical distribution, which contained more sparsely spaced elements, did not exhibit a statistically significant difference in enhancement for the different thermal conductivity elements used. The results of the study indicate that the packing density of the elements and the enhancement on the floor of the roughness distribution compete with the roughness element thermal conductivity in determining the overall convection enhancement of rough surfaces.


Author(s):  
Steven R. Mart ◽  
Stephen T. McClain ◽  
Lesley M. Wright

Many flows of engineering interest are bounded by surfaces that exhibit roughness with thermal conductivities much lower than common metals and alloys. Depending on the local roughness element convection coefficients, the low thermal conductivities of the roughness elements may create situations where temperature changes along the heights of the elements are important and must be considered in predicting the overall surface convection coefficient. The discrete-element model (DEM) for flows over rough surfaces was recently adapted to include the effects of internal conduction along the heights of ordered roughness elements. While the adapted DEM provided encouraging agreement with the available data, more data are required to validate the model. To further investigate the effects of roughness element thermal conductivity on convective heat transfer and to acquire more experimental data for DEM validation, four wind tunnel test plates were made. The test plates were constructed using Plexiglas and Mylar film with a gold deposition layer creating a constant flux boundary condition with steady state wind tunnel measurements. The four test plates were constructed with hexagonal distributions of hemispheres or cones made of either aluminum or ABS plastic. The plates with hemispherical elements had element diameters of 9.53 mm and a spacing-to-diameter ratio of 2.099. The plates with conical elements had base element diameters of 9.53 mm and a spacing-to-base-diameter ratio of 1.574. An infrared camera was used to measure the temperature of the heated plates in the Baylor Subsonic Wind Tunnel for free stream velocities ranging from 2.5 m/s to 35 m/s (resulting in Reynolds number values ranging from 90,000 to 1,400,000 based on the distance from the knife-edge to the center of the infrared camera image) in turbulent flow. At lower Reynolds numbers, the thermal conductivity of the roughness elements is a primary factor in determining the heat transfer enhancement of roughness distributions. At the higher Reynolds numbers investigated, the hemispherical distribution, which contained more sparsely spaced elements, did not exhibit a statistically significant difference in enhancement for the different thermal conductivity elements used. The results of the study indicate that the packing density of the elements and the enhancement on the floor of the roughness distribution compete with the roughness element thermal conductivity in determining the overall convection enhancement of rough surfaces.


Author(s):  
Ary Sutrischastini ◽  
Ratna Setyani

This research goal is to identification and evaluation influence of work motivation and work environment to employee’s performance in BAPPEDA Kabupaten Wonosobo. The object of this research is 37 employees of Badan Perencanaan Pembangunan Kabupaten Wonosobo. And the location of this research is at Badan Perencanaan Pembangunan Kabupaten Wonosobo. The analysis used is test validity, reliability testing, and test the hypothesis, with the help of the computer program SPSS version 17, using multiple linear regression analysis. Based on calculations of data and analysis used, the regression equation is obtained: Y = 11.733 + 0.320 X1 +0.334 X2 + ε, by using the equation regression analytical method can conclude that (X1) take effect positively against employees performance. With t value in amount of 2,219 (bigger than t in table in amount of 1,690) and significance value in amount of 0,33. By applying significance limited value in amount of 0,05, it means, hypothesis that claim if work motivation take effect against employees performance can be accepted. There is a positive and significant correlation between work environment variables (X2) against employees. With t value in amount of 2,219 (bigger than t in table in amount of 1,690) and significance value in amount of 0,33 (smaller than 0,5). Simultaneously, work motivation take effect positively and significantly against employees performance with the F value in amount of 11,562 (bigger than 0.05), then obtained significance value 0.000. It can be concluded that the work motivation and work environment has a positive and significant influence on employee performance in BAPPEDA Kabupaten Wonosobo.


Author(s):  
Eka Ambara Harci Putranta ◽  
Lilik Ambarwati

The study aims to analyze the influence of internal banking factors in the form of: Capital Adequency Ratio (CAR), Financing to Deposit Ratio (FDR) and Total Assets (TA) to Non Performing Financing at Sharia Banks. This research method used multiple linear regression analysis with the help of SPSS 16.00 software which is used to see the influence between the independent variables in the form of Capital Adequacy Ratio (CAR), Financing to Deposit Ratio (FDR) and Total Assets (TA) to Non Performing Financing. The sample of this study was 3 Islamic Commercial Banks, so there were 36 annual reports obtained through purposive sampling, then analyzed using multiple linear regression methods. The results showed that based on the F Test, the independent variable had an effect on the NPF, indicated by the F value of 17,016 and significance of 0,000, overall the independent variable was able to explain the effect of 69.60%. While based on the partial t test, showed that CAR has a significant negative effect, Total assets have a significant positive effect with a significance value below 0.05 (5%). Meanwhile FDR does not affect NPF.


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