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Preface xi
Author Bio xv
1 Introduction 1
1.1 Scope of the Book 1
1.2 Filled Polymers vs. Polymer Nanocomposites 3
References 8
2 Types of Fillers 11
3 Concept of Reinforcement 15
Reference 19
4 Typical Fillers for Polymers 21
4.1 Carbon Black 21
4.1.1 Usages of Carbon Blacks 21
4.1.2 Carbon Black Fabrication Processes 21
4.1.3 Structural Aspects and Characterization of Carbon Blacks 24
4.1.4 Carbon Black Aggregates as Mass Fractal Objects 30
4.1.5 Surface Energy Aspects of Carbon Black 44
4.2 White Fillers 49
4.2.1 A Few Typical White Fillers 49
4.2.1.1 Silicates 49
4.2.1.2 Natural Silica 52
4.2.1.3 Synthetic Silica 53
4.2.1.4 Carbonates 54
4.2.1.5 Miscellaneous Mineral Fillers 56
4.2.2 Silica Fabrication Processes 56
4.2.2.1 Fumed Silica 56
4.2.2.2 Precipitated Silica 58
4.2.3 Characterization and Structural Aspects of Synthetic Silica 62
4.2.4 Surface Energy Aspects of Silica 68
4.3 Short Synthetic Fibers 69
4.4 Short Fibers of Natural Origin 72
References 79
Appendix 4 82
A4.1 Carbon Black Data 82
A4.1.1 Source of Data for Table 4.5 82
A4.1.2 Relationships between Carbon Black Characterization Data 84
A4.2 Medalia's Floe Simulation for Carbon Black Aggregate 85
A4.3 Medalia's Aggregate Morphology Approach 86
A4.4 Carbon Black: Number of Particles/Aggregate 89
5 Polymers and Carbon Black 91
5.1 Elastomers and Carbon Black (CB) 91
5.1.1 Generalities 91
5.1.2 Effects of Carbon Black on Rheological Properties 95
5.1.3 Concept of Bound Rubber (BdR) 108
5.1.4 Bound Rubber at the Origin of Singular Flow Properties of Rubber Compounds 112
5.1.5 Factors Affecting Bound Rubber 114
5.1.6 Viscosity andCarbon Black Level 121
5.1.7 Effect of Carbon Black on Mechanical Properties 125
5.1.8 Effect of Carbon Black on Dynamic Properties 140
5.1.8.1 Variation of Dynamic Moduli with Strain Amplitude (at Constant Frequency and Temperature) 141
5.1.8.2 Variation of tan δ with Strain Amplitude and Temperature (at Constant Frequency) 142
5.1.8.3 Variation of Dynamic Moduli with Temperature (at Constant Frequency and Strain Amplitude) 142
5.1.8.4 Effect of Carbon Black Type on G' and tan δ 144
5.1.8.5 Effect of Carbon Black Dispersion on Dynamic Properties 146
5.1.9 Origin of Rubber Reinforcement by Carbon Black 148
5.1.10 Dynamic Stress Softening Effect 151
5.1.10.1 Physical Considerations 151
5.1.10.2 Modeling Dynamic Stress Softening as a "Filler Network" Effect 152
5.1.10.3 Modeling Dynamic Stress Softening as a "Filler-Polymer Network" Effect 168
5.2 Thermoplastics and Carbon Black 172
5.2.1 Generalities 172
5.2.2 Effect of Carbon Black on Rheological Properties of Thermoplastics 173
5.2.3 Effect of Carbon Black on Electrical Conductivity of Thermoplastics 175
References 179
Appendix 5 185
A5.1 Network Junction Theory 185
A5.1.1 Developing the Model 185
A5.1.2 Typical Calculations with the Network Junction Model 188
A5.1.3 Strain Amplification Factor from the Network Junction Theory 190
A5.1.3.1 Modeling the Elastic Behavior of a Rubber Layer between Two Rigid Spheres 190
A5.1.3.2 Experimental Results vs. Calculated Data 191
A5.1.3.3 Comparing the Theoretical Model with the Approximate Fitted Equation 192
A5.1.3.4 Strain Amplification Factor 193
A5.1.4 Comparing the Network Junction Strain Amplification Factor with Experimental Data 194
A5.2 Kraus Deagglomeration-Reagglomeration Model for Dynamic Strain Softening 196
A5.2.1 Soft Spheres Interactions 196
A5.2.2 Modeling G' vs. γ0 197
A5.2.3 Modeling G" vs. γ0 198
A5.2.4 Modeling tan δ vs. γ0 200
A5.2.5 Complex Modulus G* vs. γ0 202
A5.2.6 A Few Mathematical Aspects of the Kraus Model 204
A5.2.7 Fitting Model to Experimental Data 206
A5.2.7.1 Modeling G' vs. Strain 207
A5.2.7.2 Modeling G" vs. Strain 209
A5.3 Ulmer Modification of the Kraus Model for Dynamic Strain Softening: Fitting the Model 212
A5.3.1 Modeling G' vs. Strain (same as Kraus) 213
A5.3.2 Modeling G" vs. Strain 215
A5.4 Aggregates Flocculation/Entanglement Model (Cluster-Cluster Aggregation Model, Klüppel et al.) 218
A5.4.1 Mechanically Effective Solid Fraction of Aggregate 219
A5.4.2 Modulus as Function of Filler Volume Fraction 220
A5.4.3 Strain Dependence of Storage Modulus 221
A5.5 Lion et al. Model for Dynamic Strain Softening 222
A5.5.1 Fractional Linear Solid Model 222
A5.5.2 Modeling the Dynamic Strain Softening Effect 223
A5.5.3 A Few Mathematical Aspects of the Model 226
A5.6 Maier and Göritz Model for Dynamic Strain Softening 227
A5.6.1 Developing the Model 227
A5.6.2 A Few Mathematical Aspects of the Model 229
A5.6.3 Fitting the Model to Experimental Data 230
A5.6.3.1 Modeling G' vs. Strain 231
A5.6.3.2 Modeling G" vs. Strain 232
6 Polymers and White Fillers 235
6.1 Elastomers and White Fillers 235
6.1.1 Elastomers and Silica 235
6.1.1.1 Generalities 235
6.1.1.2 Surface Chemistry of Silica 236
6.1.1.3 Comparing Carbon Black and (Untreated) Silica in Diene Elastomers 237
6.1.1.4 Silanisation of Silica and Reinforcement of Diene Elastomers 239
6.1.1.5 Silica and Polydimethylsiloxane 246
6.1.2 Elastomers and Clays (Kaolins) 257
6.1.3 Elastomers and Talc 260
6.2 Thermoplastics and White Fillers 262
6.2.1 Generalities 262
6.2.2 Typical White Filler Effects and the Concept of Maximum Volume Fraction 266
6.2.3 Thermoplastics and Calcium Carbonates 280
6.2.4 Thermoplastics and Talc 291
6.2.5 Thermoplastics and Mica 297
6.2.6 Thermoplastics and Clay(s) 300
References 302
Appendix 6 308
A6.1 Adsorption Kinetics of Silica on Silicone Polymers 308
A6.1.1 Effect of Polymer Molecular Weight 308
A6.1.2 Effect of Silica Weight Fraction 310
A6.2 Modeling the Shear Viscosity Function of Filled Polymer Systems 312
A.6 Models for the Rheology of Suspensions of Rigid Particles, Involving the Maximum Packing Fraction Φm 315
A.6 Assessing the Capabilities of Model for the Shear Viscosity Function of Filled Polymers 319
A6.4.1 Effect of Filler Fraction 320
A6.4.2 Effect of Characteristic Time λ0 320
A6.4.3 Effect of Yasuda Exponent a 321
A6.4.4 Effect of Yield Stress σc 321
A6.4.5 Fitting Experimental Data for Filled Polymer Systems 322
A6.4.6 Observations on Experimental Data 323
A6.4.7 Extracting and Arranging Shear Viscosity Data 324
A6.4.8 Fitting the Virgin Polystyrene Data with the Carreau-Yasuda Model 324
A6.4.9 Fitting the Filled Polystyrene Shear Viscosity Data 326
A6.4.10 Assembling and Analyzing all Results 332
A6.5 Expanding the Krieger-Dougherty Relationship 335
7 Polymers and Short Fibers 339
7.1 Generalities 339
7.2 Micromechanic Models for Short Fibers-Filled Polymer Composites 344
7.2.1 Minimum Fiber Length 344
7.2.2 Halpin-Tsai Equations 345
7.2.3 Mori-Tanaka's Averaging Hypothesis and Derived Models 351
7.2.4 Shear Lag Models 353
7.3 Thermoplastics and Short Glass Fibers 358
7.4 Typical Rheological Aspect of Short Fiber-Filled Thermoplastic Melts 368
7.5 Thermoplastics and Short Fibers of Natural Origin 370
7.6 Elastomers and Short Fibers 375
References 383
Appendix 7 389
A.7 Short Fiber-Reinforced Composites: Minimum Fiber Aspect Ratio 389
A7.1.1 Effect of Volume Fraction on Effective Fiber Length 389
A7.1.2 Effect of Matrix Modulus on Effective Fiber Length 390
A7.1.3 Effect of Fiber-to-Matrix Modulus Ratio on Effective Fiber Length/Diameter Ratio 391
A.7 Halpin-Tsai Equations for Short Fibers Filled Systems: Numerical Illustration 391
A7.2.1 Longitudinal (Tensile) Modulus E11 392
A7.2.2 Transversal (Tensile) Modulus E22 393
A7.2.3 Shear Modulus G12 393
A7.2.4 Modulus for Random Fiber Orientation 394
A7.2.5 Fiber Orientation as an Adjustable Parameter 394
A7.2.6 Average Orientation Parameters from Halpin-Tsai Equations for Short Fibers Filled Systems 394
A7.2.6.1 Longitudinal (Tensile) Modulus E11 395
A7.2.6.2 Transversal (Tensile) Modulus E22 396
A7.2.6.3 Orientation Parameter X 396
A.7 Nielsen Modification of Halpin-Tsai Equations with Respect to the Maximum Packing Fraction: Numerical Illustration 396
A7.3.1 Maximum Packing Functions 397
A7.3.2 Longitudinal (Tensile) Modulus E11 398
A7.3.3 Transverse (Tensile) Modulus Ey 398
A7.3.4 Shear Modulus G 398
A.7 Mori-Tanaka's Average Stress Concept: Tandon-Weng Expressions for Randomly Distributed Ellipsoidal (Fiber-Like) Particles: Numerical Illustration 399
A7.4.1 Eshelby's Tensor (Depending on Matrix Poisson's Ratio and Fibers Aspect Ratio Only) 399
A7.4.2 Materials' Constants (i.e., Not Depending on Fiber Volume Fraction) 400
A7.4.3 Materials and Volume Fraction Depending Constants 401
A7.4.4 Calculating the Longitudinal (Tensile) Modulus E11 402
A7.4.5 Calculating the Transverse (Tensile) Modulus E22 402
A7.4.6 Calculating the (In-Plane) Shear Modulus G12 403
A7.4.7 Calculating the (Out-Plane) Shear Modulus G23 404
A7.4.8 Comparing with Experimental Data 404
A7.4.9 Tandon-Weng Expressions for Randomly Distributed Spherical Particles: Numerical illustration 406
A7.4.9.1 Eshelby's Tensor (Depending on Matrix Poisson's Ratio Only) 406
A7.4.9.2 Materials' Constants (i.e., Not Depending on Filler Volume Fraction) 406
A7.4.9.3 Materials and Volume Fraction Depending Constants 407
A7.4.9.4 Calculating the Tensile Modulus E 408
A7.4.9.5 Calculating the Shear Modulus G 408
A.7 Shear Lag Model: Numerical illustration 409
Index 411
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Add Filled Polymers: Science and Industrial Applications, The idea of mixing single available materials into compounds to fulfill a set of desired properties is likely as old as mankind. Highly sophisticated polymer applications would simply be impossible without the enhancement of some of their properties throu, Filled Polymers: Science and Industrial Applications to the inventory that you are selling on WonderClubX
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Add Filled Polymers: Science and Industrial Applications, The idea of mixing single available materials into compounds to fulfill a set of desired properties is likely as old as mankind. Highly sophisticated polymer applications would simply be impossible without the enhancement of some of their properties throu, Filled Polymers: Science and Industrial Applications to your collection on WonderClub |