Effective thermal conductivity of three-phase styrene butadiene composites

Agrawal, Richa; Saxena, N. S.; Mathew, George; Thomas, Sabu; Sharma, Kananbala

doi:10.1002/(sici)1097-4628(20000620)76:12<1799::aid-app10>3.0.co;2-d

Cited by 28 publications

(21 citation statements)

References 14 publications

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“…Thus, embedding nanosilica particles in polyimide matrix enhances the composites thermal conductivity and lowers its thermal resistance, which may be useful for thermal performance applications. Fitting the observed increase in the thermal conductivity of the nanocomposites with the filler volume fraction ( Figure 11) exhibits a linear dependence, which is in agreement with that reported by Agrawal et al [24] of their measurements on the thermal conductivity of styrene-butadiene composites.…”

Section: Thermal Conductivity Resultssupporting

confidence: 91%

Electrical and thermal properties of polyimide/silica nanocomposite

Tommalieh

Zihlif

Ragosta

2011

Journal of Experimental Nanoscience

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The electrical and thermal properties of thin films of polyimide/silica nanocomposites prepared via sol-gel process were studied as a function of nanosilica particles content, temperature and applied field frequency. It was found that the dielectric constant and dielectric loss of the nanocomposites decrease with both the frequency and the nanosilica content, while increase with temperature. The AC-conductivity measured in frequency range 200 kHz-1.5 MHz decreases with the filler concentration and increases with increasing temperature. For the (25 wt%) nanocomposite, it was found that the AC-conductivity increases with temperature, and the Cole-Cole plots showed that the calculated activation energy and relaxation time decrease with temperature. The observed thermal conductivity increases gently with temperature. The empirical universal law was used to fit the observed electrical data under the measuring conditions.

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Section: Thermal Conductivity Resultssupporting

confidence: 91%

Electrical and thermal properties of polyimide/silica nanocomposite

Tommalieh

Zihlif

Ragosta

2011

Journal of Experimental Nanoscience

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“…Thus, dispersion of NaI phase in PEO matrix enhances the electrolyte thermal conductivity and lowers its thermal resistance, which may be useful to thermal performance applications. Fitting the observed increase in the thermal conductivity of the composites with the filler volume fraction ( Figure 11) exhibits a linear dependence which is in agreement with the report by Agrawal et al 23 for their measurements on the thermal conductivity of styrene-butadiene composites. Table 4 shows a comparison between the electrical and thermal conduction behaviors of the prepared PEO/NaI thin films as a function of NaI content.…”

Section: Results and Discussion Electrical Conductivity Resultssupporting

confidence: 90%

Electrical and thermal characterization of doped poly(ethylene oxide)

Al-Faleh

Zihlif

2012

Journal of Thermoplastic Composite Materials

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Thin films of poly(ethylene oxide) (PEO) doped with sodium iodide (NaI) were prepared by casting method. The films have an average thickness of 70 mm and contain different NaI concentrations, that is 1, 2, 4, 6, 8, 10, and 15% by weight (wt%). The dielectric constant, alternating current (AC)-conductivity, and thermal conductivity of the electrolytic composites were studied as a function of applied frequency, temperature, and NaI concentration. The AC conductivity and dielectric constants were determined from the impedance data, and the thermal conductivity was measured using the transient electric pulse method. It was found that the dielectric constants and AC conductivity increase with increasing temperature and NaI concentration. The percolation threshold of the observed AC conductivity occurs at about 1 wt% NaI dispersed in the PEO matrix. The charge transfer in the electrolytic films is dominated by ions transport and creation of more localized energy states due to high amorphous phase in the solid electrolyte. The formed iodide complexes also contribute in increasing the AC quantities. It was found that the thermal conductivity of the polymer electrolyte films increases with both temperature and NaI concentration. Empirical models were used to describe the dependence of electrical and thermal conductivities on the dopant content, frequency, and temperature.

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“…One of the methods adopted in industry to reduce the solidification time is to enhance the thermal conductivity of mould material by reinforcement of high thermal conductive filler into flexible polymer. A significant amount of research work was found in the literature where particulate conductive fillers were incorporated into polymer to increase its effective thermal conductivity [1][2][3][4][5][6][7][8][9][10]. Through experimental study, it has been observed that the solidification time in soft tooling process is significantly reduced by reinforcement of conductive filler into flexible polymeric mould material [11,12].…”

Section: Introductionmentioning

confidence: 99%

GA-fuzzy based estimation of equivalent hardness of particle reinforced flexible mould material composites

Nandi

2014

Journal of Intelligent &Amp; Fuzzy Systems

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In the present work, an extensive experimental study on the equivalent hardness of various particle reinforced flexible mould materials is carried out. From the experimental study, it has been observed that the equivalent hardness of a composite mould material depend on many factors, such as filler content, morphology and type of filler particles, etc. Some of the factors may be correlated with each other and sometimes belong to uncertainty and ambiguity such as dispersion state of filler in the matrix, non-uniform filler particle size and shape. Moreover, the formation of physical bonding of filler particles with matrix polymer is highly complex and non-linear, because they are depending on such kind of parameters that are associated with uncertainty and ambiguity. By realizing it, an effort has been made to develop a model using a GA-fuzzy approach to estimate equivalent hardness of particle reinforced mould materials. An appropriate model is decided by carrying out a comparative analysis on the effectiveness of developed models based on different structures of TSK-type fuzzy rule-consequent function with the experimental measurements. It is found that better performance is envisaged by TSK-type fuzzy model which considers the variables namely hardness of polymer, hardness of filler material, volume fraction of filler particle as well as interactions among them in the ruleconsequent function. In addition, the developed model seems to possess a generic one which can be applicable to a wide range of two-phase particle-reinforced composite mould materials.

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Effective thermal conductivity of three-phase styrene butadiene composites

Cited by 28 publications

References 14 publications

Electrical and thermal properties of polyimide/silica nanocomposite

Electrical and thermal properties of polyimide/silica nanocomposite

Electrical and thermal characterization of doped poly(ethylene oxide)

GA-fuzzy based estimation of equivalent hardness of particle reinforced flexible mould material composites

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