New York, McGraw-Hill, The state prerequisite of a good knowledge of the methods of advanced calculus and solution of elementary differential equations seems adequate for most of the material in the book, although some of the applications, such as in quantum mechanics, may not be fully appreciated or understood by the reader with minimal prerequisite knowledge. A background in complex variables may be helpful. In all, Professor Sneddon has written a book well suited for a first year undergraduate doing a science or engineering course that is explicitly concerned with the use and application of integral transforms. The book should also be a valuable addition to science, engineering and mathematics libraries.

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Typically, this involves the inversion of a model, which may be mathematical, computational, or completely empirical. Despite the imperfect state of existing models, analytical rheology remains a practically useful enterprise.

I review its successes and failures in inferring the molecular weight distribution of linear polymers and the branching content in branched polymers. Introduction Complex fluids, which include materials such as foams, gels, colloids, polymers, and emulsions, lie somewhere in the continuum between ideal solids and liquids.

When subjected to an external deformation, they exhibit elasticity or memory-like classical solids; they also relax and dissipate energy by viscous flow-like classical liquids. More precisely, rheology is the relationship between stresses generated within a viscoelastic material, in response to an applied deformation. Analytical Rheology The rheology of many complex fluids depends very sensitively on the material microstructure.

For example, the rheology of oil-water emulsions, which is important in food, cosmetic, and drug formulation industries, is determined by the concentration and particle size distribution [4—6]. This essential link between the microstructure and rheology provokes the idea of analytical or analytic rheology, which seeks to infer microstructural information from viscoelastic measurements. The primary motivation for analytical rheology, as elaborated more specifically later, is threefold: i many important microstructural features are extremely hard to probe using standard analytical techniques, ii viscoelastic measurements are often much more sensitive particularly to the microstructural features of most interest, and iii in the linear regime, rheology is cheaper and more convenient to measure.

In order to realize the promise of analytical rheology, we require a reasonably accurate rheological model, which may range from completely empirical models to those purely based on a molecular understanding of the underlying physics see Figure 1. These models take, as their input, details of the material microstructure and the nature of the applied deformation and yield, as their output, a prediction of.


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