Hot-Wire Method for the Measurement of the Thermal Conductivity of Refractory Materials

Davis, William F.

doi:10.1007/978-1-4615-6678-6_6

Cited by 23 publications

(13 citation statements)

References 8 publications

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“…The heat source is assumed to have a constant and uniform output along the length of the test sample and the thermal conductivity is then derived directly from the resulting change in temperature over a known time interval (61). This technique has previously been used to evaluate the thermal conductivity of cement mortars and pastes (62).…”

Section: Workability Bulk Density and Thermal Conductivity Testingmentioning

confidence: 99%

Lightweight mortars containing expanded polystyrene and paper sludge ash

Ferrándiz-Mas

Bond

García-Alcocel

et al. 2014

Construction and Building Materials

125

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The objective of this research was to develop lightweight cement mortars with good thermal-insulation properties by incorporating expanded polystyrene (EPS) and paper sludge ash (PSA), both of which are problematic waste materials. The mortars formed had low thermal conductivity and low bulk density compared to control samples. Ground EPS produced lower thermal conductivity samples than powdered EPS. Resource efficient mortars containing up to 20% PSA, and 60% of EPS are considered suitable for use in rendering and plastering applications.

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Section: Workability Bulk Density and Thermal Conductivity Testingmentioning

confidence: 99%

Lightweight mortars containing expanded polystyrene and paper sludge ash

Ferrándiz-Mas

Bond

García-Alcocel

et al. 2014

Construction and Building Materials

125

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“…If the heat source is assumed to have a constant and uniform output along the length of test sample, thermal conductivity can be derived directly from the resulting change in temperature over a known time interval (Davis, 1984). Acta Technologica Agriculturae 1 Nitra, Slovaca Universitas Agriculturae Nitriae, 2015, pp.…”

Section: Characteristics Of Flourmentioning

confidence: 99%

Experimental Determination Of Soft Wheat Flour Thermal Parameters

Božíková

Hlaváč

Vozárová

et al. 2015

Acta Technologica Agriculturae

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6Acta Technologica Agriculturae 1/2015 Monika BOŽIKOVÁ et al.Recent results of thermophysical research applied to biobased materials are very important because these materials go through the thermal manipulation during storage and processing to final products. Thermophysical parameters are significant characteristics that can be used for improving of technological processes. If we know the basic thermal parameters, we can determine optimal storage conditions. From changes of thermophysical parameter values during temperature stabilisation, we can predict structural changes of bio-based materials. These facts are very useful in agriculture and food industry for detection of materials quality. Characteristics of flourThe flour that is used in baking comes mainly from wheat, although it can be milled from corn, rice, nuts, legumes, and some fruits and vegetables. Different types of flour are suited to different items. In Slovakia, soft wheat flour, middle cut wheat flour, and whole wheat flour are mostly used. Our research was focused on measuring the selected soft wheat flour thermophysical parameters because this type of flour is usually used for baking. Fine texture is typical for soft wheat flour. One hundred grams of soft wheat flour contain 10.6 g of proteins, 74.1 g of saccharine and 1.3 g of fats. Energy content per 100 g is 1,474 kJ (Danster et al., 2008).The thermophysical parameters of the sample were measured by the thermal analyser Isomet. Measurement by the thermal analyser is based on two types of thermophysical methods -the hot wire method and plane source method. In this case, mainly the plane source method was used for measurements. The hot wire method was used for data reliability comparison. These methods are shortly described in the following text, and detailed description of methods can be found in literature (Božiková and Hlaváč, 2010; Božiková, 2008). The range of the plane and needle probe was chosen according to the thermophysical parameters that are known from literature. During the measurement, the probe is placed into the measured material. There should be very good contact between the measured sample and probe. The thickness of the measured material was 10 mm for the plane source method. The volume of the sample for the hot wire method was 300 ml, and the probe was placed in the centre of the sample with a cylindrical shape. Heat was generated by the probe, and there was analysed the temperature relation in time. The thermophysical parameters -thermal conductivity, thermal diffusivity and volume specific heat were calculated from the timetemperature relation.The hot wire method is a standard transient dynamic technique based on measuring the temperature rise in a defined distance from a linear heat source (hot wire) embedded in the test material. If the heat source is assumed to have a constant and uniform output along the length of test sample, thermal conductivity can be derived directly from the resulting change in temperature over a known time interval (Davis, 1984). Acta Technolog...

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“…In that way, the thermal conductivity can be interpreted as the slope of the temperature curve versus the natural logarithm of the time in the linear part of the curve ( Fig. 11: a, ideal; b, nonideal) [9][10][11]. There are different procedures that can be followed to obtain a correct and stable measurement, e.g., the GOST 12170 procedure, used for powder refractories [12].…”

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confidence: 99%

“…11. Typical measurement chart of a thermal conductivity measurement using the hot wire method [9][10][11]. makes the calculation of the thermal conductivity easy if the flux is known.…”

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confidence: 99%

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Numerical mesh generation tool for thermal conductivity simulations of nanoparticle filled inorganic plates

Latré

Pooter

Seveno

et al. 2018

Polymer Engineering & Sci

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Since regulations on insulation building materials become more stringent, particular interest is growing in thermal low conductive composite building materials. By adding very expensive, low thermal conductive nanoparticles in widely used inorganic solid materials, a new high performance building material can be developed. To sufficiently balance the production cost and the use of the nanofillers, an automatic tool, PreCon, was developed to provide sufficient process information and to generate a general purpose numerical model which can be used for thermal insulation simulations. It is expected that a total random distribution of the particles in the inorganic matrix will not result in a significant increase in insulation properties and hence will not enhance the performance. PreCon is used to investigate the influence of a random distributed nanomaterial combined with a more normal distribution through thickness. Based on this information, one can gauge the efforts needed to localize the nanoparticles in particular regions. However, accurate and repetitive thermal conductivity measurements of real dispersions are very difficult and precarious to obtain. Nevertheless, combining PreCon with Siemens simulation software provides appropriate nanofiller distributions with respect to cost. The realized tool is also able to introduce fibrous material distributions as a composite reinforcement. POLYM. ENG. SCI., 58:568-585, 2018.

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Hot-Wire Method for the Measurement of the Thermal Conductivity of Refractory Materials

Cited by 23 publications

References 8 publications

Lightweight mortars containing expanded polystyrene and paper sludge ash

Lightweight mortars containing expanded polystyrene and paper sludge ash

Experimental Determination Of Soft Wheat Flour Thermal Parameters

Numerical mesh generation tool for thermal conductivity simulations of nanoparticle filled inorganic plates

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