Improvement of Soft Tooling Process Through Particle Reinforcement with Polyurethane Mould

Nandi, Arup Kumar; Datta, Shubhabrata

doi:10.1590/s1678-58782011000300009

Cited by 3 publications

(1 citation statement)

References 37 publications

(21 reference statements)

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“…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]. However, reinforcement of filler material into the polymer not only increases the equivalent thermal conductivity but also affects physical and mechanical properties such as equivalent hardness of composite mould material.…”

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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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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Electrostriction-induced third-order nonlinear optical susceptibility in metamaterials

et al. 2021

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Effect of interfacial powder on mechanical properties of composites under dynamic tests

Mebarki

Rechak

Marc

et al. 2014

J Braz. Soc. Mech. Sci. Eng.

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Improvement of Soft Tooling Process Through Particle Reinforcement with Polyurethane Mould

Abstract: Use of conventional flexible polymeric mould materials yields to longer solidification time of (wax/plastic)

Cited by 3 publications

References 37 publications

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

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

Electrostriction-induced third-order nonlinear optical susceptibility in metamaterials

Effect of interfacial powder on mechanical properties of composites under dynamic tests

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