scholarly journals Determination of thermal conductivity of pine wood dust filled epoxy composites

2017 ◽  
Vol 21 (1 Part A) ◽  
pp. 199-210 ◽  
Author(s):  
Ramesh Mohapatra ◽  
Antaryami Mishra ◽  
Bibhuti Choudhury
Keyword(s):  
Thermal Conductivity ◽  
Volume Fraction ◽  
Maxwell Model ◽  
Theoretical Models ◽  
Experimental Results ◽  
Epoxy Composites ◽  
Dust Particles ◽  
Wood Dust ◽  
Pine Wood ◽  
Volume Fractions

In the present investigation the Thermal conductivity in particulate filler filled (Pine wood dust) epoxy composites at different volume fractions (6.5%, 11.3%,26.8% and 35.9%) have been determined experimentally by using Forced Convection apparatus. The composites of pine wood dust particles of 150 micron size have been prepared by using hand-lay-up technique. The experimental results show that the incorporation of pine wood dust results in reduction of thermal conductivity of epoxy resin and there by improves its thermal insulation capability. From the experiments it is also observed that the composite with 35.9% volume fraction of pine wood dust exhibited lowest thermal conductivity i.e 0.246 W/m-0K on comparison to 6.5%,11.3% and26.8% volume fractions. Therefore the composite with 35.9% wood dust may be more suitable for insulation application. Experimental results (22mm pipe diameter) are also compared with theoretical models such as Rule of mixture model, Maxwell model, Russell model and Baschirow & Selenew model to describe the variation of thermal conductivity versus the volume fraction of the filler. All these models exhibited results close to each other at low dust filler content. On comparison, It has been found that the errors associated with experimental (26mm Dia.) along with all the above four models with respect to experimental ones (22mm Dia.) lie in the range of 19.60 to 44.10%, 0.76 to 12.10%, 1.86 to 5.12% and 8.24 to 19.68% respectively.

scholarly journals INVESTIGATION OF THERMAL CONDUCTIVITY OF LUFFA AND LUFFA-COIR REINFORCED EPOXY COMPOSITES

2020 ◽  
Vol 8 (12) ◽  
pp. 69-79
Author(s):  
K. Anbukarasi ◽  
S. Imran Hussain ◽  
S. Kalaiselvam
Keyword(s):  
Thermal Conductivity ◽  
Volume Fraction ◽  
Hybrid Composites ◽  
Theoretical Models ◽  
Epoxy Composites ◽  
Coir Fiber ◽  
Fiber Volume ◽  
Experimental Values ◽  
Thermal Stability Of ◽  
Guarded Heat Flow Meter

Thermal behavior of luffa and coir reinforced epoxy composites have been evaluated for a constant total fiber volume fraction 0.4Vf by varying the ratio of luffa and coir fiber. Thermal conductivity of luffa-epoxy and luffa-coir reinforced epoxy composite was studied experimentally and analytically in terms of fiber size and fiber volume. Thermal conductivity of composites was investigated experimentally by a guarded heat flow meter method. The experimental results at different volume fraction were compared with three theoretical models. The composite C has the lowest thermal conductivity of 0.206 W/mk with 0.81 % of voids. The experimental values of thermal conductivity of hybrid composites are the good correlation with the Maxwell and Maxwell-Eucken models. As in a case of 0.4 Vf of luffa-epoxy composites these values are closer to the rule of mixture models. The thermal stability of the composites was investigated by thermogravimetric analysis. This result reveals that the hybridization of luffa and coir with epoxy allows a significantly improved insulation ability of the composites.

scholarly journals Measurement on Thermal Conductivity of Pine Wood Dust Filled Epoxy Composites

2014 ◽  
Vol 2 (4) ◽  
pp. 114-119 ◽  
Author(s):  
Ramesh Chandra Mohapatra ◽  
Antaryami Mishra ◽  
Bibhuti Bhushan Choudhury
Keyword(s):  
Thermal Conductivity ◽  
Epoxy Composites ◽  
Wood Dust ◽  
Pine Wood

Investigation on Thermal Conductivity of Low Concentration AlN/EG Nanofluids

2013 ◽  
Vol 546 ◽  
pp. 112-116
Author(s):  
Yan Jiao Li ◽  
Chang Jiang Liu ◽  
Zhi Qing Guo ◽  
Qiu Juan Lv ◽  
Fang Xie
Keyword(s):  
Thermal Conductivity ◽  
Effective Thermal Conductivity ◽  
Volume Fraction ◽  
Maxwell Model ◽  
Experimental Results ◽  
Effect Of Temperature ◽  
Transient Hot Wire ◽  
Hot Wire ◽  
Wire Method ◽  
Nanoparticles Volume Fraction

The thermal conductivity of AlN/EG nanofluids was investigated by transient hot-wire method. Experimental results indicated that the thermal conductivity of AlN/EG nanofluids increase nearly linear with the increase of nanoparticles volume fraction, and the results can’t be predicted by conditional Maxwell model. The effect of temperature on effective thermal conductivity of AlN/EG nanofluids was investigated. Result indicated that the thermal conductivity of AlN/EG nanofluids increased with the increase of temperature.

Prediction of effective thermal conductivity of nanofluids by modifying renovated Maxwell model

2016 ◽  
Vol 30 (3) ◽  
pp. 289-301 ◽  
Author(s):  
Deepti Chauhan ◽  
Nilima Singhvi
Keyword(s):  
Neural Network ◽  
Thermal Conductivity ◽  
Effective Thermal Conductivity ◽  
Base Fluid ◽  
Volume Fraction ◽  
Maxwell Model ◽  
Theoretical Models ◽  
Solid Particles ◽  
Nanoparticle Volume Fraction ◽  
Suspended Nanoparticles

Nanofluids, which are formed by suspending nanoparticles into conventional fluids, exhibit anomalously high thermal conductivity. Renovated Maxwell model was developed by Choi in which the presence of very thin nanolayer surrounding the solid particles was considered, which can measurably increase the effective thermal conductivity of nanofluids. A new model is proposed by introducing a fitting parameter χ in the renovated Maxwell model, which accounts for nanolayer, nonuniform sizes of filler nanoparticles together with aggregation. The model shows that the effective thermal conductivity of nanofluids is a function of the thickness of the nanolayer, the nanoparticle size, the nanoparticle volume fraction and the thermal conductivities of suspended nanoparticles, nanolayer and base fluid. The validation of the model is done by applying the results obtained by the experiments on nanofluids, other theoretical models, and artificial neural network technique. The uncertainty of the present measurements is estimated to be within 5% for the effective thermal conductivity.

Influence of Mesocarp Fibre Inclusion on Thermal Properties of Foamed Concrete

2021 ◽  
Vol 87 (1) ◽  
pp. 1-11
Author(s):  
Siti Shahirah Suhaili ◽  
Md Azree Othuman Mydin ◽  
Hanizam Awang
Keyword(s):  
Thermal Conductivity ◽  
Heat Capacity ◽  
Thermal Properties ◽  
Thermal Diffusivity ◽  
Specific Heat ◽  
Specific Heat Capacity ◽  
Volume Fraction ◽  
Thermal Constant ◽  
Volume Fractions ◽  
Foamed Concrete

The addition of mesocarp fibre as a bio-composite material in foamed concrete can be well used in building components to provide energy efficiency in the buildings if the fibre could also offer excellent thermal properties to the foamed concrete. It has practical significance as making it a suitable material for building that can reduce heat gain through the envelope into the building thus improved the internal thermal comfort. Hence, the aim of the present study is to investigate the influence of different volume fractions of mesocarp fibre on thermal properties of foamed concrete. The mesocarp fibre was prepared with 10, 20, 30, 40, 50 and 60% by volume fraction and then incorporated into the 600, 1200 and 1800 kg/m3 density of foamed concrete with constant cement-sand ratio of 1:1.5 and water-cement ratio of 0.45. Hot disk thermal constant analyser was used to attain the thermal conductivity, thermal diffusivity and specific heat capacity of foamed concrete of various volume fractions and densities. From the experimental results, it had shown that addition of mesocarp fibre of 10-40% by volume fraction resulting in low thermal conductivity and specific heat capacity and high the thermal diffusivity of foamed concrete with 600 and 1800 kg/m3 density compared to the control mix while the optimum amount of mesocarp fibre only limit up to 30% by volume fraction for 1200 kg/m3 density compared to control mix. The results demonstrated a very high correlation between thermal conductivity, thermal diffusivity and specific heat capacity which R2 value more than 90%.

Thermal Conductivity of Nature Rubber Filled with Carbon Black

2009 ◽  
Vol 87-88 ◽  
pp. 86-91 ◽  
Author(s):  
Yan He ◽  
Hai Tao Li ◽  
Lian Xiang Ma
Keyword(s):  
Thermal Conductivity ◽  
Carbon Black ◽  
Volume Fraction ◽  
Theoretical Models ◽  
Filled Rubber ◽  
Filler Fraction ◽  
Thermal Conductivities

The thermal conductivities of two rubbers filled with different carbon black (N330 and N375) are measured by experiments, and compared with five theoretical models calculated results. It is shown that thermal conductivity of carbon-filled rubber is obviously enhanced with increase of the volume filler fraction of carbon black and the thermal conductivity of carbon-filled rubber is related to the microstructure and morphology of carbon black. The estimated thermal conductivities by using the model proposed in our previous paper are of the same variation as the experimental ones of N330 carbon/rubber and N375 carbon/rubber during the range of volume fraction from 2% to 20%.

scholarly journals Development of Expanded Takayanagi Model for Tensile Modulus of Carbon Nanotubes Reinforced Nanocomposites Assuming Interphase Regions Surrounding the Dispersed and Networked Nanoparticles

Polymers ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 233 ◽  
Author(s):  
Yasser Zare ◽  
Kyong Yop Rhee
Keyword(s):  
Carbon Nanotubes ◽  
Volume Fraction ◽  
Tensile Modulus ◽  
Experimental Results ◽  
Volume Fractions ◽  
Interphase Region ◽  
Acceptable Agreement ◽  
Network Modulus ◽  
Neat Matrix

In this paper, we consider the interphase regions surrounding the dispersed and networked carbon nanotubes (CNT) to develop and simplify the expanded Takayanagi model for tensile modulus of polymer CNT nanocomposites (PCNT). The moduli and volume fractions of dispersed and networked CNT and the surrounding interphase regions are considered. Since the modulus of interphase region around the dispersed CNT insignificantly changes the modulus of nanocomposites, this parameter is removed from the developed model. The developed model shows acceptable agreement with the experimental results of several samples. “ER” as nanocomposite modulus per the modulus of neat matrix changes from 1.4 to 7.7 at dissimilar levels of “f” (CNT fraction in the network) and network modulus. Moreover, the lowest relative modulus of 2.2 is observed at the smallest levels of interphase volume fraction ( ϕ i < 0.017), while the highest “ ϕ i ” as 0.07 obtains the highest relative modulus of 11.8. Also, the variation of CNT size (radius and length) significantly changes the relative modulus from 2 to 20.

Micromechanical analysis for transverse thermal conductivity of composites

2010 ◽  
Vol 45 (11) ◽  
pp. 1245-1255 ◽  
Author(s):  
Sangwook Sihn ◽  
Ajit K. Roy
Keyword(s):  
Thermal Conductivity ◽  
Numerical Solutions ◽  
Volume Fraction ◽  
Numerical Models ◽  
Matrix Material ◽  
Analytic Solutions ◽  
Fiber Distribution ◽  
Fiber Volume ◽  
Volume Fractions ◽  
Transverse Thermal Conductivity

Micromechanical analyses were conducted for the prediction of transverse thermal conductivity of laminated composites. We reproduced and reinvestigated both analytic and numerical models with regular and randomly distributed fibers in matrix material. A parametric study was conducted for wide ranges of fiber volume fractions and fiber-to-matrix thermal conductivity ratios. The numerical solutions using finite element (FE) analysis were compared with various analytic solutions from simple and enhanced rule or mixtures and an effective inclusion method (EIM). It was found that the EIM yields a reasonably agreeable solution with the FE solution using a hexagonal-array of regular fiber distribution for wide ranges of fiber volume fraction and fiber-to-matrix thermal conductivity ratios, which makes the EIM a useful method in predicting various multiphysical transverse properties of composites. Comparison of the results from the regular- and random-fiber models indicates that the transverse thermal conductivity of composites can significantly be affected by the random fiber distributions, especially at high fiber volume fractions. A similar conclusion was made for the foams with random pore distribution. It was shown that the predictions with the random fiber distribution agree well with the experimental data.

Thermal Conductivity Analysis of Ethylene Glycol/H2O- Based MgFe2O4 Ferrofluid

2022 ◽  
Vol 1048 ◽  
pp. 83-88
Author(s):  
K. Ajith ◽  
Archana Sumohan Pillai ◽  
I.V. Muthu Vijayan Enoch ◽  
A. Brusly Solomon
Keyword(s):  
Thermal Conductivity ◽  
Magnetic Flux ◽  
Surface Morphology ◽  
Ethylene Glycol ◽  
Structural Characterization ◽  
Magnetic Nanoparticle ◽  
Volume Fraction ◽  
Current Investigation ◽  
Step Method ◽  
Volume Fractions

The current investigation aims to synthesize MgFe2O4 magnetic nanoparticle and measure the thermal conductivity of MgFe2O4 ferrofluid. Prepared MgFe2O4 nanoparticle's structural characterization, the concentration of constituents, and surface morphology were analyzed using XRD, EDAX, and TEM respectively. This study also analyses the influence of magnetic flux on the thermal conductivity of MgFe2O4/ EG: H2O (60:40) based ferrofluids formed by the two-step method. Thermal conductivity of ferrofluid measured at different volume fractions (ranging from 0.01% to 0.20%) show that thermal conductivity augmented with an escalation in volume fraction and the highest enhancement of 10.32% was reached at 0.20% volume fraction. Results indicate that the applied magnetic flux improves the thermal conductivity of ferrofluid from 10.32% to 14.75% at 0.20% volume fraction and 350 Gauss Magnetic flux.

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