Scale-Up in Chemical Engineering

In only a few cases can theoretical analysis alone provide full description of chemical engineering process units. Normally it is necessary to turn to experimental work, often upon small- or pilot-scale models, to complete such a study. Even if a complete quantitative theory is available, experimental results are still necessary to verify it, since theories are invariably based on assumptions that may not be completely satisfied in the real systems. [Pg.171]

Although it is desirable to conduct the experimental work in the system for which the results are required, this is not always easy. The system of interest, or prototype, may be hazardous or expensive to build and run, while the fluids involved may be corrosive or toxic. In this case scale models are used, which overcome the above problems and allow extensive experimentation. In the majority of cases the model is smaller in size than the prototype. In a number of cases, however, the model and the prototype may be of the same size but the fluids involved are different. [Pg.171]

Examples of the use of models for the design of large-scale systems include the measurement of pressure drop and heat transfer in model heat exchangers, the mixing and rate of reaction in a bench-top batch reactor and the prediction of pressure drops in pipelines. [Pg.171]

The results from the model will have to be applied to the prototype. Since the model is usually smaller than the prototype, this procedure is called scale-up. Scale-up is only possible when both the model and the prototype are physically similar, 3 Similar comments apply to scale-down, where the model is larger than the prototype. [Pg.171]

Engineering data are often presented in dimensionless form. Applying this data to a particular problem in hand is a form of scale-up, the literature data or correlation being the model here. The dimensionless form is obtained by dimensional analysis. [Pg.172]

Zlokaniik, M., 1991. Dimensional Analysis and Scale-up in Chemical Engineering. Spriiiger-Verlag. [Pg.328]

Zlokarnik, M. (2003) Scale-Up in Chemical Engineering. Ullmann s Encyclopedia of Industrial Chemistry. WUey-VCH Verlag GmbH 8c Co. [Pg.225]

Holland, F.A., Scale-up in chemical engineering, Chemical and Process Engineering, 45, pp. 121—4(1964). [Pg.187]

Zlokarnik M. Scale-up in Chemical Engineering. WILEY-VCH, 2002 ISBN 3-527-30266-2. [Pg.54]

Additional insights into the application of dimensional analysis to scale-up can be found in the chapter in this volume by Zlokarnik (65) and in his earlier monograph on scale-up in chemical engineering (66). [Pg.120]

M. Zlokarnik. Dimensional Analysis and Scale-Up in Chemical Engineering. Berlin Springer Verlag, 1991. [Pg.94]

Chemical engineering in general, and fluid flow in particular, utilises many dimensionless groups, which are discussed in more detail in Chapter 6 11 Scale-up in Chemical Engineering . Since we will use a piping system as an example in this chapter, we will now consider the pertinent dimensionless groups for pipe flow. [Pg.56]

Fluid flow is often turbulent, and so heat transfer by convection is often complex and normally we have to resort to correlations of experimental data. Dimensional analysis will give us insight into the pertinent dimensionless groups see Chapter 6, Scale-Up in Chemical Engineering, Section 6.7.4. [Pg.102]

Scale-up in Chemical Engineering. Marko Zlokarnik Copyright 2002 Wiley-VCH Verlag GmbH Co. KGaA ISBNs 3-527-30266-2 (Hardback) 3-527-60056-6 (Electronic)... [Pg.2]

Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...