This work investigates the two-dimensional orientation of a single fiber in a recirculating flow within a slot mounted on a wall of a parallel plate channel in order to elucidate the fiber orientation state in a recirculating flow as a fundamental study on anisotropic channel flow. The orientation state of fibers with aspect ratior_a=5 and 100 at initial angle θ₀=30·, 45· and 75· are simulated by computing the Jeffery's equation along three streamlines.
For large aspect-ratio fibers, a unique steady orientation state along each streamline can be obtained after several circulation independently of initial angles, and furthermore, the fibers almost completely align along the streamlines.
On the other hand, for small aspect-ratio fibers, almost steady orientation state can be observed along the only streamlines which are located within an inner region of the slot, however, the orientation state becomes unsteady as the main flow region is approached. Fibers lie obliquely to the streamlines even in almost steady orientation state within an inner region. This is also a very different result from that for large aspect-ratio fibers.

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Transverse vibration of a visco-elastic is analysed in this paper. The analysis of the basic problem has been strangely neglected by researchers, because the theoretical analysis is probably a difficult task. To overcome the problem, we propose a description of the initial form of the string and suppose the validity of a generalized Voigt model. As a result, a solution which gives the relationship between the damped vibration and properties of the string material (elastic modulus, coefficent of viscosity, density, shape of string and tension) is obtained. Lastly we show a simple and easy, application method for analysing an actual silk string.

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FFT analysis can not be applied to extract local and detail information of the clothing waveform, across sectional curve of wearing garment, because clothing shape is very localyzing and it isdirectional waves with angle.
In this paper, the wavelet transform is applied to extract a characteristic of clothing wave form for evaluation of size fitness of clothing with body. The clothing wave form is considered to be a periodic function of angle (θ) and amplitude f (θ), where f (θ) is defined as a distance to the outside surface of clothing from the center of human body. The clothing waveform is represented by the wavelet transform simultaneously with an angle domain and a frequency domain.The magnitude of the wavelet transform of wave data at the angle offeres the detail information of clothing waveform at each frequency.
A characteristic of clothing waveform is extracted by using the wavelet theory.It is found that the wavelet transform is efficient for the method of analyze the clothing wave with directional qualities.

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