Prediction of batch heat transfer coefficients for pseudoplastic fluids ...

Prediction of batch heat transfer coefficients for pseudoplastic fluids ... Prediction of batch heat transfer coefficients for pseudoplastic fluids ...

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120 greater than 2.0. In this case therefore there is a 90% probability that the difference in variance between correlation A ~nd C is significant. Thus correlation C is a better fit for the anchor data. It may be seen from this example that in order for a correlation to be significantly better than another the ratio of the variances must be about 1 • .5 or gl"eatel", depending upon the degrees of freedom and choice of probability limits desired.. Comparison of the variances listed in Table 5-7 shows that the above eXELmple was the only case in Hhich one correlation 1-laS significantly better than another for all of the fluids tested. Thus, except for the anchor agitator, the three correlations fit the data equally v.Jell.. It l

TABLE 5 - 8 NNu '" C(N~e)a CORRELATION D (Npr)b (K/Kw)C (Dt/Da)d (Wa/Da)e IMPELLER Correlation Constants Average Errors TYPE C a b c d e n= l.0 0.69 0.43 0.36 Overall ltNCHOR 0.45 0.68 0.35 0.37 10.9 23.0 17.4 22.7 16 .. 9 - - PADDLE 1.94 0.64 0.27 0.31 -0.40 0.42 9.2 13.4 22.1 22.3 13e4 PROPELLER 0.!.~6 0.69 0.27 0.32 -0.23 11.4 12.3 2B.h 35.5 16.5 TURBINE 2.39 0.63 0.24 0.31 -0.06* - O~ O.hOn B.3 15.8 22.9 23.7 13.1 .,l- See Table 5 - 4 -1\) --

TABLE 5 - 8<br />

NNu '" C(N~e)a<br />

CORRELATION D<br />

(Npr)b (K/Kw)C (Dt/Da)d (Wa/Da)e<br />

IMPELLER Correlation Constants Average Errors<br />

TYPE C a b c d e n= l.0 0.69 0.43 0.36 Overall<br />

ltNCHOR 0.45 0.68 0.35 0.37 10.9 23.0 17.4 22.7 16 .. 9<br />

- -<br />

PADDLE 1.94 0.64 0.27 0.31 -0.40 0.42 9.2 13.4 22.1 22.3 13e4<br />

PROPELLER 0.!.~6 0.69 0.27 0.32 -0.23 11.4 12.3 2B.h 35.5 16.5<br />

TURBINE 2.39 0.63 0.24 0.31 -0.06*<br />

-<br />

O~<br />

O.hOn B.3 15.8 22.9 23.7 13.1<br />

.,l- See Table 5 - 4<br />

-1\)<br />

--

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