- Page 1: Thermophysics 2009 29 th and 30 th
- Page 5 and 6: Measurement of the thermo‐physica
- Page 7 and 8: As the right side of the previous r
- Page 9 and 10: The initial vector k r in the k1, k
- Page 11 and 12: 2.4 The computer programs testing T
- Page 13 and 14: Investigation of moisture influence
- Page 15 and 16: ⎛ t t ⎞ −1 ⋅ ln⎜ ⎝ tm t
- Page 17 and 18: Density [kg.m -3 ] 620 600 580 560
- Page 19 and 20: for a new building have to be great
- Page 21 and 22: Fig.1. Photo of the hot ball sensor
- Page 23 and 24: Fig.6.Left: formation of blocks. Ri
- Page 25 and 26: 4. Conclusions With this experiment
- Page 27 and 28: 1a. Three‐dimensional temperature
- Page 29 and 30: n+ ∞ ( ) 4 ( ) ∑ π n= 1 ( 2 1)
- Page 31 and 32: a 2 2 ( Fo) ⎛ l ⎞ r = ⎜ ⎟
- Page 33 and 34: Substitution of ordinates of the in
- Page 35 and 36: Moisture transport through porous m
- Page 37 and 38: Data acquired through the hot ball
- Page 39 and 40: In this way, the water spreading wa
- Page 41 and 42: Thermal conductivity [W m -1 K -1 ]
- Page 43 and 44: Relationship between relative permi
- Page 45 and 46: ( ) i n Φ − Φ K i = ki i i, cri
- Page 47 and 48: Figure 4: Comparison of measured an
- Page 49 and 50: Computational modelling of coupled
- Page 51 and 52: a ξ = d 2 ( lnκ − lnκ ) lnξ +
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on the results of experiments and c
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Figures 8a, b: Moisture content (a)
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Conclusions The computer simulation
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properties as are the bulk density,
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elation determined from the measure
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In the evaluation of the difference
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Heat source I RT-Lab II Specimen Ch
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Thermal conductivity [W m -1 K -1 ]
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silicon glue epoxy probe hole Figur
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Computational modelling of temperat
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1 2 3 EXT. INT. 5-15 50-60 375 5 Nu
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Fig. 4 shows a comparison of the re
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Envelope D Figs. 14, 15 present the
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Application of computational modell
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Table 2: Basic material characteris
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Temperature [K] 320 300 280 260 240
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Mineral wool has the same effect as
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Nowadays, most of concrete building
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Figure 2: Ceramic dessicator plate
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dessicators are decreased by the pe
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The surface water vapour diffusion
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where h is the Planck constant and
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(a) (b) Figure 2: Schematic picture
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[7] BLUM, V.; HART, G. L. W.; WALOR
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Analysis of moisture hysteresis of
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The water content during scanning b
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All analysed cellulose based materi
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Thermodilatometry of ceramics using
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of the dilatometric cell with the s
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thermal expansion / % 2 1,5 1 0,5 0
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[8] KAMSEU, E. ; LEONELLI, C. ; BOC
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heating, the temperatures were meas
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temperature difference [°C] 140 12
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temperature difference [°C] 180 16
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[4] ČÍČEL, B. - NOVÁK, I. - HOR
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space and the crystallization press
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20 mm face to the penetrating KNO3
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Cb [kg/m 3 (sample)] 1800 1600 1400
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D [m 2 /s] 1.0E-03 1.0E-04 1.0E-05
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Thermomechanical modelling of matur
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ε ε (velocity rates) a x , t . By
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ε ε w v The process of redistribu
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Conclusion In this paper we have br
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most popular among direct technique
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• Closed pores (not available for
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espective volume of inclusions frac
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Summary Among the indirect methods
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Thermal, hygric and salt‐related
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The water vapor diffusion coefficie
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Thermal properties Thermal conducti
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On the other hand, apparent moistur
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Thermal conductivity.. [Wm -1 K -1
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Properties of innovative materials
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or hygrothermal analysis of buildin
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where Da is the diffusion coefficie
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The bending and compressive strengt
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moisture diffusivity which was caus
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Abstract: Thermal conductivity in d
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, (5) where λ is thermal conductiv
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4.Measured values and calculation I
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Acknowledgements This research has
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3 Results During heating, the struc
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Acknowledgment This work was suppor
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mixture by short mixing, the mixtur
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detected by MIP and thus the intrus
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diffusion. The general Arrhenius eq
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Thermal conductivity measurement of
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S s o 2 4 4 λ ∇ T = wεσ ( T
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steel (20 W m ‐1 K ‐1 ) is arou
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significant larger cross‐section.
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Water and heat transport properties
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The open porosity ψ0 [%], bulk den
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Table 3: Basic material parameters
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Acknowledgements This research has
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comparison of results we can determ
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specimen and heat source R at infin
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6.E-04 4.E-04 ΔU (V) 2.E-04 0.E+00
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[3] KUBIČÁR Ľ. Pulse method of m
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silicate binders as partial replace
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Table 2. Mechanical properties HPC
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HPC Table 5. Water transport proper
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The results obtained for using high
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aerospace engineering, cryogenic en
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4 ⎡ ′ ⎤ Δθ( t) = ⎢ l ∫
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Alloy Components Weight Percent, [%
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Figure 8: Final results of the ther
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Figure 11: Preliminary results of t
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In case of the FeNi35, FeNi39 and F
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Experimental Methods Compressive st
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Type of mixture Water transport pro
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Thermal properties The thermal para
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Identification of Some Thermophysic
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Physical model of the direct proble
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2 ( λ − Bi) sin( λ) − 2λ Bic
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To calculate the sensitivity coeffi
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symmetry of the specimen when the t
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Figure 5: View of experimental setu
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During the inverse calculations the
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temperature dependence for the blac
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4. Conclusions The results of the t
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cross‐planar direction applying s
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3. Thermal diffusivity identificati
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Table 2: Effect of the convective h
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[2] BODZENTA, J.; BURAKA, B.; NOWAK
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doc. Ing. Jiří Vala, CSc. Brno Un
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263