scholarly journals Nanomaterials’ Influence on the Performance of Thermal Insulating Mortars—A Statistical Analysis

2020 ◽  
Vol 10 (7) ◽  
pp. 2219 ◽  
Author(s):  
Marco Pedroso ◽  
Inês Flores-Colen ◽  
José Dinis Silvestre ◽  
Maria da Glória Gomes
Keyword(s):  
Cluster Analysis ◽  
Statistical Analysis ◽  
Regression Models ◽  
Production Efficiency ◽  
Bivariate Analysis ◽  
Insulating Materials ◽  
Thermal Insulating ◽  
Mechanical And Physical Properties ◽  
Overall Performance ◽  
Thermal Conductivities

This research provides a statistical analysis of the mechanical and physical properties of thermal insulating mortars developed in the laboratory and by the industry with and without the incorporation of nanomaterials. This was evaluated by carrying out a uni and bivariate analysis, principal components and factor analysis, cluster analysis, and the application of regression models. The results show that it is possible to find associations between these mortars’ properties, but also how these formulations’ development can be approached in the future to achieve better overall performance. They also show that the use of nanomaterials, namely silica aerogel, significantly improved the mortars’ thermal insulation capabilities, allowing us to obtain mortar formulations with thermal conductivities below the values presented by classic thermal insulating materials. Therefore, with this investigation, other researchers can support their product-development choices when incorporating nanomaterials to reduce mortars’ thermal conductivities, increasing their production efficiency, overall multifunctionality, and sustainability.

Development of a Kraft Paper Box Lined with Thermal-Insulating Materials by Utilizing Natural Wastes

2013 ◽  
Vol 545 ◽  
pp. 82-88 ◽  
Author(s):  
Nattida Klinklow ◽  
Sethayuth Padungkul ◽  
Supoj Kanthong ◽  
Somjate Patcharaphun ◽  
Ratchatee Techapiesancharoenkij
Keyword(s):  
Glass Fiber ◽  
Temperature Rise ◽  
Room Temperature ◽  
Natural Fiber ◽  
Natural Fibers ◽  
Insulating Materials ◽  
Insulating Material ◽  
Kraft Paper ◽  
Thermal Insulating ◽  
Thermal Conductivities

This research studied the feasibility of using natural fibers extracted from natural wastes as a thermal-insulating material lined in a Kraft paper box packaging. The natural fibers were extracted from natural waste of rice straws using NaOH solutions. The extracted fibers were then formed as a porous thermal-insulating pad by a spray lay-up method using natural rubbers as binders. The thermal conductivities, specific heat capacities and temperature-rise time of the natural fiber insulation and other thermal-insulating materials including polystyrene foam, a polyethylene foam, and a glass fiber insulation were studied and compared. The glass fiber insulation showed the highest thermal conductivity, while the thermal conductivities of the other studied insulating materials were found to be similar. Moreover, the polymeric and natural-fiber insulations show better temperature-rise resistance than the glass fiber insulation. The temperature rises for different insulating materials were estimated using the analytical analysis of heat transfer. The calculated temperature-rise times were compared with the empirical results; both results are in the same order of magnitude. Consequently, a Kraft paper box lined with natural-fiber pads was constructed and compared with a Kraft paper box (without insulation lining) and a polystyrene box of equal sizes. The boxes were packed with an equal amount of ice and left under room temperature for 24 hours. The results show that, after 24 hours, the temperatures inside the natural-fiber lined box and the polystyrene box were contained below 15 °C, while the temperature inside the Kraft paper box increase to room temperature only after 16 hours. The observation shows that a natural fiber pad can potentially be used as an alternative insulating material in packaging industries, which can enhance environmental-friendly packaging products.

Statistical Analysis of Personnel Data Using Factor Scoring Cluster Analysis and Multidimensional Scaling

1973 ◽  
Author(s):  
Robert R. Read ◽  
Richard S. Elster ◽  
Gerald L. Musgrave ◽  
John W. Creighton ◽  
William H. Githens
Keyword(s):  
Cluster Analysis ◽  
Statistical Analysis ◽  
Multidimensional Scaling

scholarly journals The Effect of Remittances on Poverty in the Emerging Countries of the European Union

2019 ◽  
Vol 11 (12) ◽  
pp. 3265 ◽  
Author(s):  
Anca Mehedintu ◽  
Georgeta Soava ◽  
Mihaela Sterpu
Keyword(s):  
European Union ◽  
Statistical Analysis ◽  
Economic Crisis ◽  
Regression Models ◽  
Emerging Countries ◽  
Time Dependent ◽  
The European Union ◽  
Short Term ◽  
Growth Trend ◽  
Poverty Threshold

In this paper we study the evolution of remittances and risk of poverty threshold for nine emerging countries in the European Union and analyzed the evolution and trend of the share of remittances in the risk of poverty threshold. The analysis was performed on data taken from the Eurostat database for the period 2005–2017. The statistical analysis of the data showed that the evolution of both remittances and risk of poverty threshold was heavily influenced by the global economic crisis. Although after the crisis, the risk of poverty threshold has seen a growing trend in all emerging countries, the remittances have experienced sinuous variations, dramatic declines for some of the countries (drastically for Romania and Latvia) and significant increases for others (Hungary). The results of the analysis using time-dependent regression models lead to the conclusion that, although the share of remittances in risk of poverty threshold diminished abruptly after the 2009 economic crisis, in the short term it is expected to maintain a growth trend for most of the analyzed countries (Bulgaria, Czechia, Hungary, Lithuania, Poland, Romania, and Slovakia), followed downward tendency after 2018 for Bulgaria and Romania, and after 2020 for Hungary and Lithuania. For Latvia and Estonia, both quadratic and cubic models estimate a decreasing evolution.

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