In order to find out some rules on the number of clothes and the span of the service life of them, we propose two theoretical models that are studied on the degree of the coincidence of the surveyed data with the relation to the sort of clothes.
Based on above objects, we were able to get the following results.
1. By the basic consideration, we found the relation among the number of procured clothes, the span of the service life and the number of possessed clothes.
2. A theoretical model of the number of possessed clothes was give by the following equation based on the queue theory.
P (k) =e-^L×L^k/k!
where, P (k) was probability that k of clothes are possessed, and L=λT (λ is an average number of procured clothes and T was a span of the service life).
3. A theoretical model of the probability P (r) that r clothes are procured per year was given by :
L=λT4. By comparing theoretical models with the surveyed data, we got the following results and found those models coincided with the surveyed data.
Possessing model : completely coincided clothes 58%
nearly coincided clothes 29%
not coincided clothes 13%
Procuring model : completely coincided clothes 100%
5. We considered the reason why there were such differences in degree of coincidence among each clothes and found that the models did not coincide with the surveyed data in the case of (1) the large average number of possessing clothes and (2) the clothes including the particularly large number of possessing .

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In order to analyze theoretically the service life of clothes, some models of the service life are are constructed.Using these models, we aim to make clear the characteristics of the service life of each kind of clothes. Main results are as follows :
Theoretical models were composed of one statistical model and five geometrical models. The surveyed data were substituted into these models. These data showed the duration of year for which the clothes were possessed.Consequently, each clothes were classified according to the types of models. For cach classification, the characteristics of clothes were made clear. Using these models, we succeeded in getting graphically the average service life .

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The effects of some factors on the wale skewness of cotton plain-knitted fabrics made from three-fold are investigated experimentally.
The results obtained are as follow :
(1) The causes of the wale skewness (WS) is devided into two factors : yarn torque and knitting procedure. The following equation is empirically derived.
WS (%) = {(a√l+b) S_n+c/l+d} (1)
where S_n is the number of snarling, l is the loop length (mm), and a, b, c and d are constants.Let S_n and WS of the direction-z be plus and the direction-S be minus.
(2) The values calculated from the equation (1) agree well with the experimental values.
(3) It seems that the wale skewness knitting procedure is likely to be dependent on the phenomenon of procedure “robbing-back”.
(4) The values of c and d depend on the r. p. m. of knitting machine and the relaxed treatments.

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The vacuum packing of blankets has been investigated to reduce th bulk of the blanket. The applicability to practical use is also discussed.
Following results are obtained :
(1) To reduce the bulk of blanket by vacuum packing, it is necessary to regulate pre-conditioningby heat drying (without an increase in the level of segmental mobility in fibers).
To reduce the moisture regain of blanket, acrylic blankets should be dried for 40 minutes and wool blankets for 120 minutes at 58-60°C
(2) The compacting pressure should be determined by considering reduction ratio, kind of fibers, fabric weave of the blanket. Furthermore, the recovering ability of wrinkle and bulk of blankets after unpacking should also be considered .
(3) After vacuum-packing of the blanket, it is recomendedto store the blanket under low temperature of -2°C-0°C. Especially, the acrylic blanket recovers its thickness and creases quickly after unpacking.
(4) The questionnaire survey has shown that a vacuum-packed wool blanket is expected to recover its creases and bulk in short time of 24 hours by unpacking after 6-month storage at 10-30°C . By contrast, vacuum-packed acrylic blanket has some problems in crease recovery after unpacking.

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