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Statistical models of elasticity in main chain and smectic liquid ...

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Chapter OneIntroductionThe subject <strong>of</strong> this thesisistheelastic properties<strong>of</strong> twodifferenttypes<strong>of</strong> polymer networks: ma<strong>in</strong> cha<strong>in</strong> nematic elastomers <strong>and</strong> <strong>smectic</strong> elastomers.Both <strong>of</strong> these systems are anisotropic, <strong>and</strong> the molecular theoriesused to describe them here are <strong>in</strong> the same ve<strong>in</strong> as previous phantom cha<strong>in</strong><strong>models</strong> <strong>of</strong> rubber <strong>elasticity</strong>.1.1 Classical rubber <strong>elasticity</strong>Theclassical theory <strong>of</strong> rubber<strong>elasticity</strong>, based on a phantom network <strong>of</strong> Gaussiancha<strong>in</strong>s, is surpris<strong>in</strong>gly successful. Modell<strong>in</strong>g the cross-l<strong>in</strong>k po<strong>in</strong>ts <strong>of</strong> rubberymaterials as deform<strong>in</strong>g aff<strong>in</strong>ely with the external stra<strong>in</strong> (R → λ·R) oneobta<strong>in</strong>s the free energy density <strong>of</strong> a Gaussian phantom network as)f = 1 2(λ µTr T ·λ ,where µ is the shear modulus <strong>of</strong> the network [1]. For a rubber network theconstra<strong>in</strong>t <strong>of</strong> <strong>in</strong>compressibility (det(λ) = 1) is usually imposed. Despite thesuccesses <strong>of</strong> the phantom network model it neglects, amongst other th<strong>in</strong>gs,entanglements <strong>of</strong> the network str<strong>and</strong>s <strong>and</strong> non-Gaussian nature <strong>of</strong> the cha<strong>in</strong>s,for example their f<strong>in</strong>ite extensibility. One way to correct for these fail<strong>in</strong>gsis the Mooney-Rivl<strong>in</strong> approach. The free energy density should be <strong>in</strong>variantunder rotation <strong>of</strong> the target <strong>and</strong> reference states, so can only be a function <strong>of</strong>the rotational <strong>in</strong>variants <strong>of</strong> the Cauchy-Green deformation tensor C = λ T ·λ[2]. These <strong>in</strong>variants can be added together to phenomenologically fit thedeviations from the phantom network model. However, this approach doesnot provide any <strong>in</strong>sight to the microscopic details <strong>of</strong> the network. Otherattempts have also been made to <strong>in</strong>clude entanglements (e.g. [3]), but suchcorrections will be neglected here.1

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