Influence of geometrical structure on sorption isotherms of Jersey and yarns made of cotton at two temperatures

Influence of drum inlet air conditions on drying process in a domestic tumble dryer

“…In the falling drying rate period the curves separate. Calculation with the sorption isotherm [2] predicts a shorter constant drying rate period and a higher final X t than calculation with the sorption isotherm [26]. Similar trends can be seen on Figure 8, which compares 2 tests, both with T in =60°C and ܸ ሶ =260 m 3 /h, but RH in =6% for the first and RH in =20% for the second test.…”

“…The R 2 values indicate better agreement between the measured and calculated drying curves in the case of sorption isotherm [2]. However, the resulting X t,fin values are in better agreement with the weighed X t,ref in case of using the sorption isotherm [26] instead of the sorption isotherm [2]. Average difference between the X t,fin and the weighed X t,ref is smallest in the case of measured water balance, but scatter in this case is highest.…”

“…Water activities (Eq. 10) were determined according to two different sorption isotherms for cotton: the sorption isotherm introduced by Lambert et al [2] and a more recently published desorption isotherm by Bhouri et al [26]. The sorption isotherm from [2] is used throughout the reviewed literature [2-4, 6, 18, 19] and is defined by Eq.…”

“…( 10) and coefficients β = 18, γ = 30, δ = 2. Bhouri et al [26] have measured sorption isotherms for cotton yarn and knitted fabric at temperatures of 25 °C and 35 °C. The desorption isotherm for knitted fabric at 35 °C was taken for this study and fitted to Eq.…”

“…Average difference between the X t,fin and the weighed X t,ref is smallest in the case of measured water balance, but scatter in this case is highest. The smallest scatter in X t,fin -X t,ref can be seen in case of using the sorption isotherm [26]. The point with an 8% deviation from the X t,ref in the case of measured water balance could be considered as an outlier, however in all other analyses (regression of drying time and h m A t ) this operating point never stood out with above average residuals, therefore it was considered valid and kept in the dataset.…”