[in Japanese]

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Following the previous paper, the investigation on the flame retardant finish for cotton 35/polyester 65 (C/P) blended fabrics, higher ratio of polyester fiber, was continued for further improvement of the flame retardancy of finished fabrics.
The application of electron beam curing was attempted to the flame retardant finish of C/P blend and the results were compared with those observed for cotton 100% fabric as well as those obtained from the samples finished by heat curing.
The flame retardant which showed the most favorable result was vinyl phosphonate oligomer (Phoscon 76) out of those used for this study. C/P blend required 60% of Phoscon 76 while 40% was sufficient for cotton fabric to reach the LOI level above 28 even after 25 cycles of washing. As for the exposure dose, 50kGy gave durable flame retardancy to cotton 100% and C/P blend, but 100 kGy failed to give the flame retardancy to polyester 100% fabric.
The electron beam irradiation gave little effect on tensile strength of polyester 100% fabric, but considerable reduction was observed for cotton 100% fabric, consequently C/P blend showed some influence of such reduction. But, we have found that it is possible to inhibit the reduction of tensile strength by much weaker irradiation, 1/2 in intensity, on both sides of the fabric as well as by the aid of additives. The most adequate condition was to irradiate 40 kGy on both sides with the addition of polyphosphoric acid amide (Bonen H) as an additive.
Comparing the results observed for the flame retardant fabrics finished by electron beam curing with those by heat curing, C/P blend finished with vinyl phosphonate oligomer by electron beam curing clearly showed an improvement of flame retardancy. This fact well evidences the applicability of electron beam irradiation to the flame retardant finish of C/P blend as favorable as that to cotton 100% fabric.

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The purpose of this paper is to elucidate the effect of fiber on the removal mechanism of particles in the foam washing. In preceding paper, nylon mesh screen was used as model substrate. In this investigation, silk, nylon and polyester mesh screen were used as a model substrate. Fe₂O₃ and Fe-Ox were used as particulate soil. Hydrophilic tendency is silk>nylon>polyester. The surface of mesh screen soiled with particles was observed under a scanning electron microscope. Adhesion and removal in the foam washing were discussed, and the following results were obtained.
When the concentration of Fe₂O₃ was 0.2g/1 and Fe-Ox was 1.0g/1, the amount of Fe₂O₃ deposited on the surface of filament yarn was silk>nylon>polyester. The amount of Fe-Ox deposited on the surface of filament yarn showed the opposite tendeney.
Transport action obtained good result for nylon and polyester. It was little for silk. Detachment had an effect on nylon, polyester and silk. In comparison with Fe-Ox, removal of Fe₂O₃ was more dependent on transport action.

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In this paper the clustering analysis of the consumer's behaviors based on a neural network is proposed. The main objective is to model the experts' classification of consumer's behaviors on apparel goods in terms of their attributes and tastes and then to realize the experts decision making based on a neural network.
In the paper the attributes and tastes of consumers, and the classification of the consoumers provided by fashion experts are learned by a neural network model. The learning realizes the latent ability of complex and difficult clustering of consumers by their attributes and tastes which experi-enced experts have.
The paper shows that this model can perform the same ability as fashion experts in the classification of consumers' behaviors.

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