Publication detail

Thermal Insulation Composite Material Based on Polymers - Determination of Thermal Conductivity

KALUŽOVÁ, A. PĚNČÍK, J. MATĚJKA, L. MATĚJKA, L. POSPÍŠIL, T.

Original Title

Thermal Insulation Composite Material Based on Polymers - Determination of Thermal Conductivity

English Title

Thermal Insulation Composite Material Based on Polymers - Determination of Thermal Conductivity

Type

journal article - other

Language

en

Original Abstract

The development of new materials is associated with placement of emphasis especially on thermally technical parameters of these materials . Composite materials play an important role in many technical fields. The composite is a compound material which originates by combining two or more simpler materials. Combination of substances of different properties allows obtaining materials with new, unique characteristics. For the purpose of energy savings the attention in the production of thermally composite material is paid on the value of thermal conductivity coefficient. The researchers developed composite material, which in the form of thermal insulation blocks allows elimination of thermal bridges in a building facility, thereby reducing energy loss of buildings, increasing total energy savings, thus reducing heating costs. The coefficient of thermal conductivity is influenced primarily by the structure and weight proportions of the components from which the material is formed. The research under the project FAST-S-13-2085 Development of the mathematical modelling method for thermal analysis of details with the use of recycled polymer composites with the prediction of their long-term mechanical behaviour is focused on experimental laboratory determination of the dependence of the thermal conductivity coefficient of secondary raw material-based composite material on the representation of the individual material components. This dependence is described in the paper by using linear regression model. Based on the derived regression line it is possible to determine the required amount of raw materials to obtain the desired thermal conductivity values.

English abstract

The development of new materials is associated with placement of emphasis especially on thermally technical parameters of these materials . Composite materials play an important role in many technical fields. The composite is a compound material which originates by combining two or more simpler materials. Combination of substances of different properties allows obtaining materials with new, unique characteristics. For the purpose of energy savings the attention in the production of thermally composite material is paid on the value of thermal conductivity coefficient. The researchers developed composite material, which in the form of thermal insulation blocks allows elimination of thermal bridges in a building facility, thereby reducing energy loss of buildings, increasing total energy savings, thus reducing heating costs. The coefficient of thermal conductivity is influenced primarily by the structure and weight proportions of the components from which the material is formed. The research under the project FAST-S-13-2085 Development of the mathematical modelling method for thermal analysis of details with the use of recycled polymer composites with the prediction of their long-term mechanical behaviour is focused on experimental laboratory determination of the dependence of the thermal conductivity coefficient of secondary raw material-based composite material on the representation of the individual material components. This dependence is described in the paper by using linear regression model. Based on the derived regression line it is possible to determine the required amount of raw materials to obtain the desired thermal conductivity values.

Keywords

composite material, energy saving, thermal conductivity, thermal bridges, secondary raw materials, regression model

RIV year

2013

Released

01.11.2013

Publisher

Recent Science Publications

Location

Indická republika

Pages from

1176

Pages to

1180

Pages count

5

BibTex


@article{BUT104459,
  author="Alena {Kalužová} and Jan {Pěnčík} and Libor {Matějka} and Libor {Matějka} and Tomáš {Pospíšil}",
  title="Thermal Insulation Composite Material Based on Polymers - Determination of Thermal Conductivity",
  annote="The development of new materials is associated with placement of emphasis especially on thermally technical parameters of these materials . Composite materials play an important role in many technical fields. The composite is a compound material which originates by combining two or more simpler materials. Combination of substances of different properties allows obtaining materials with new, unique characteristics. For the purpose of energy savings the attention in the production of thermally composite material is paid on the value of thermal conductivity coefficient. The researchers developed composite material, which in the form of thermal insulation blocks allows elimination of thermal bridges in a building facility, thereby reducing energy loss of buildings, increasing total energy savings, thus reducing heating costs.
The coefficient of thermal conductivity is influenced primarily by the structure and weight proportions of the components from which the material is formed. The research under the project FAST-S-13-2085 Development of the mathematical modelling method for thermal analysis of details with the use of recycled polymer composites with the prediction of their long-term mechanical behaviour is focused on experimental laboratory determination of the dependence of the thermal conductivity coefficient of secondary raw material-based composite material on the representation of the individual material components. This dependence is described in the paper by using linear regression model. Based on the derived regression line it is possible to determine the required amount of raw materials to obtain the desired thermal conductivity values.",
  address="Recent Science Publications",
  chapter="104459",
  institution="Recent Science Publications",
  number="2",
  volume="35",
  year="2013",
  month="november",
  pages="1176--1180",
  publisher="Recent Science Publications",
  type="journal article - other"
}