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Backmixing residence time distribution and micro-mixing

There is another practical method for estimating conversions in reactors with residence time distribution, for perfect micro-mixing, that is also applicable to other reaction orders. To this end the reactor is simulated by a model that consists of a cascade on N perfectly mixed equal reactors (section 3.3.3). The RTD-function of the cascade with total residence time x can be calculated  [Pg.201]

16) is plotted in figure 7.4 for different vdues of N, It can be used for modelling a real reactor with a non-ideal residence time distribution. The RTD-funcdon can be found from tracer-response measurements. By fitting eq. (7.16) with the experimental RTD-curve the fictituous number N can be determined. Tliis number merely is a measure of the residence time distribution of the real reactor. Then the chemical conversion is calculated for the cascade with N reactors, on the basis of reaction kinetics, using eq. (3.50), for which the conversion in each successive reactor is calculated with eq. (3.49), or one of the previous equations. [Pg.202]

Other examples of black box models are presented in section 7,2,32, The influence of backmixing in tubular reactors is discussed in section 7.2.2. [Pg.202]

A first order chemical reaction is carried out in a homogeneous solution, in a reactor with a diameter of 3 m the liquid height is 7 m. The mean residence time of the liquid in the reactor is 10 minutes. The reactor is equipped with a stirrer, consisting of two inclined blade impellers mounted on one shaft. The [Pg.202]

What is a likely explanation for these findings And how can this be checked Probably the t l narrow reactor is not perfectly macro-mixed. It may behave as a cascade of N reactors in series. By more intensive mixing N will go down, and the conversion also. We know that for = 1, the conversion is 0.9. With eq. (3.51) we find that in the first situation, the residence time distribution in the big reactor corresponds to N 2. With the higher stirrer speed, N drops evidently to a value = 1.5. This seems plausible. It can be checked with RTD-measurements, and fitting the results with eq. (7.16). [Pg.203]




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