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Ill. Coefficients of the coded factors for each parameter for the short-fiber pulp suspensions. From the analysis of Tables II to VII,

Table 2 Ill. Coefficients of the coded factors for each parameter for the short-fiber pulp suspensions. From the analysis of Tables II to VII,

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pensions [1]. Figure 1 presents a typical rheogram of pulp fiber sus- densions [1]. 1. Stress-rate curve for a fiber suspension (adapted from [Gullichsen, 1981]).
pensions [1]. Figure 1 presents a typical rheogram of pulp fiber sus- densions [1]. 1. Stress-rate curve for a fiber suspension (adapted from [Gullichsen, 1981]).
|. Experimental design for the short- and long-fiber pulp suspensions. To evaluate the rheology of the pulp suspensions, we used a new plate rotational viscometer, based on the Searle effect and especially built up to maintain a uniform fiber dis- tribution [6,7]. This viscometer measures the shear in the rotor (mobile plates) and in the vessel (fixed plates), and thus To evaluate the rheology of the pulp suspensions, we
|. Experimental design for the short- and long-fiber pulp suspensions. To evaluate the rheology of the pulp suspensions, we used a new plate rotational viscometer, based on the Searle effect and especially built up to maintain a uniform fiber dis- tribution [6,7]. This viscometer measures the shear in the rotor (mobile plates) and in the vessel (fixed plates), and thus To evaluate the rheology of the pulp suspensions, we
V. Coefficients of the coded factors for each parameter for the long-fiber pulp suspensions. parameter is not independent of the
V. Coefficients of the coded factors for each parameter for the long-fiber pulp suspensions. parameter is not independent of the
VI. Coefficients of the actual factors each parameter and for the long-fibet pulp suspensions.
VI. Coefficients of the actual factors each parameter and for the long-fibet pulp suspensions.
diction capacity and can be used to estimate future respons- es for the same boundary conditions. For the parameters n and k (Fig. 4), the model does not predict the values for the new suspensions as well, especially in the case of k. Howev- er, we must remember that both parameters are estimates and the corresponding design equations have low correlation co- efficient values. These facts contribute to the poorer predic- tion potential. diction capacity and can be used to estimate future respons-
diction capacity and can be used to estimate future respons- es for the same boundary conditions. For the parameters n and k (Fig. 4), the model does not predict the values for the new suspensions as well, especially in the case of k. Howev- er, we must remember that both parameters are estimates and the corresponding design equations have low correlation co- efficient values. These facts contribute to the poorer predic- tion potential. diction capacity and can be used to estimate future respons-
2. Predicted vs actual values for: a) T {5 rad/s) and b) 7,(extrap) for two distinct short-fiber suspensions (Sv-l and Sv-Il).
2. Predicted vs actual values for: a) T {5 rad/s) and b) 7,(extrap) for two distinct short-fiber suspensions (Sv-l and Sv-Il).
4. Predicted vs actual values for a) n and b) k for two distinct short fiber suspensions (Sv-I and Sv-Il).
4. Predicted vs actual values for a) n and b) k for two distinct short fiber suspensions (Sv-I and Sv-Il).
From this research we discovered that consisten- cy is the factor that most affects the rheological pa-
From this research we discovered that consisten- cy is the factor that most affects the rheological pa-
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