Apparent thermal conductivity approach at high-temperature measurements of porous materials

Černý, Robert; Vejmelková, Eva

doi:10.1016/j.measurement.2011.04.002

Cited by 15 publications

(5 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to the large number of outliers (Figure 4), the discrepancy of the k values, which are applied in a modeling study, can reduce the accuracy of the model results, as already observed in other studies [15,19,37]. However, it can be highlighted that even with the large number of outliers, the mathematical models adjusted in this study presented good quality of fit, as can be observed in the R 2 values (>91%).…”

Section: Thermal Properties Of Composts In Different Moisture Contents and Static Compaction Degreessupporting

confidence: 52%

“…However, it can be very expensive and physically impractical to obtain many of the parameters. Therefore, feasible simplifications are to be sought, and various compromises are to be adopted in computational simulation case studies that emphasize either the model complexity or material data accuracy [19].…”

Section: Introductionmentioning

confidence: 99%

“…The development of mathematical models and the application of computer simulations allow us to reduce the time and costs of development and renovation projects. The k of composting material varies subject to several factors, including the content of organic compounds, density (specific weight), porosity [19,24], and moisture content [25]. Those parameters fluctuate in different phases of the composting process [26].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Development of Predictive Equations for Thermal Conductivity of Compost Bedding

et al. 2021

View full text Add to dashboard Cite

Among animal facilities, compost-bedded pack (CBP) barns have attracted a lot of attention from milk producers and the scientific community. Systematic investigation of the main thermal properties utilizing sawdust in CBP barns is of environmental and economic relevance. In this paper, the aim was to (a) develop predictive equations for the thermal conductivity (k) of compost bedding as a function of moisture content (MC), the degree of compaction (DCo), and particle size (PS); and (b) investigate the links between k and depth within bedding material. Samples of compost bedding materials were collected from 42 commercial CBP barns distributed throughout Kentucky (USA). From these predictive equations, it was possible to understand how the MC, DCo, and PS of the bedding materials may influence the behavior of k. These results are very useful for solving obstacles to simulate and predict the variable outcomes of the compost bedding materials process in CBP barns, allowing for its optimization, consequently reducing the time and energy spent on their optimization and allowing for simulation and assessment of compost bedding process modifications. The results of the current study may have important implications in the design and management of bedded pack barns.

show abstract

Section: Thermal Properties Of Composts In Different Moisture Contents and Static Compaction Degreessupporting

confidence: 52%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Development of Predictive Equations for Thermal Conductivity of Compost Bedding

et al. 2021

View full text Add to dashboard Cite

show abstract

“…The concrete samples were assessed using the following material parameters: specific gravity, specific heat capacity, specific volumetric heat capacity, thermal conductivity, specific temperature diffusivity and heat storage capacity [1][2][3][4][5][6][7]. Bulk density -density ρ is defined as the mass m of the unit volume V of substance (Eq.…”

Section: Materials Parametersmentioning

confidence: 99%

Measurement of the Thermal Properties of Innovative Highly-Insulating Non-Structural Concretes

Kušnerová

Harničárová

Valíček

et al. 2019

DDF

View full text Add to dashboard Cite

Thermal characteristic of insulation concretes is one of the key components in materials selection especially in civil constructions. In this article, non–tabulated material parameters of some innovative highly-insulating non-structural concretes are presented. The specific volumetric heat capacity, specific heat capacity, parameter of temperature diffusivity and thermal mass parameter of the innovative highly-insulating cementitious composites were determined. The experiments were conducted using a prototype automated calorimetric chamber. The measurement results are compared with those obtained by using a commercial multifunctional instrument (Isomet 2114) and are accompanied by the measurement of other significant thermal parameters of the cementitious composites under investigation. The results indicated that there is potential of using the newly created types of concrete for insulation purposes.

show abstract

“…Therefore, they effectively decreased the thermal diffusivity of K-ref as compared with K-600, K-800 and K-1000. The second important factor was the convection and radiation effects in the high temperature range [10] which affected both K-ref and K-600, K-800 and K-1000. In the experimental setup applied for temperature measurements in this paper where the temperature gradients existed in the whole volume of the sample these effects could not be avoided.…”

mentioning

confidence: 99%

Thermal Properties of PVA-Fiber Reinforced Cement Composites at High Temperatures

Vejmelková

Černý

2013

AMM

Self Cite

View full text Add to dashboard Cite

Properties of polyvinyl alcohol-fiber reinforced cement composites are investigated as functions of temperature up to 1000 °C. Basic physical properties are measured using the water vacuum saturation method. High-temperature thermal diffusivity is determined by a transient method based on the analysis of temperature field at one-sided sample heating. High-temperature specific heat capacity is obtained using a non-adiabatic method. Experimental results show that the studied material exhibits a satisfactory resistance to high-temperature exposure and has a potential for using in high-temperature applications in building industry.

show abstract

Apparent thermal conductivity approach at high-temperature measurements of porous materials

Cited by 15 publications

References 24 publications

Development of Predictive Equations for Thermal Conductivity of Compost Bedding

Development of Predictive Equations for Thermal Conductivity of Compost Bedding

Measurement of the Thermal Properties of Innovative Highly-Insulating Non-Structural Concretes

Thermal Properties of PVA-Fiber Reinforced Cement Composites at High Temperatures

Contact Info

Product

Resources

About