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Morioka,Takayuki,Motoyama,Nobuyuki,Hoshikawa,Hiroshi,Okada,Mitsumasa,Moniwa,Takeo 嶺南大學校 環境問題硏究所 1995 環境硏究 Vol.15 No.1
Reactions between radicals and dissolved substances, e.g., phosphate buffer, carbonate ions and trace organics were included in the SBH (staehelin, Buhler, Hoigne) aqueous ozone decomposition model. Ozone decomposition rate obtained in laboratory studies and the calculated rate by this extended SBH model agreed satisfactorily. Odorous compound and humic substances were also included in the extended SBH model. Numerical analysis on the decomposition rate of the odorous compound was in good agreement with the results of laboratory studies, i.e. the decomposition rate initially increased with increase in the concentration of humic substances; reached maximum; and then decreased with further increase in the concentration of humic substances. And the role of humic substances on the decomposition of the odorous compound by ozone was elucidated by the model.
Flattening simulations of 3D thick sheets made of fiber composite materials
Morioka, Kotaro,Ohtake, Yutaka,Suzuki, Hiromasa,Nagai, Yukie,Hishida, Hiroyuki,Inagaki, Koichi,Nakamura, Takeshi,Watanabe, Fumiaki Society for Computational Design and Engineering 2015 Journal of computational design and engineering Vol.2 No.2
Recently, fiber composite materials have been attracting attention from industry because of their remarkable material characteristics, including light weight and high stiffness. However, the costs of products composed of fiber materials remain high because of the lack of effective manufacturing and designing technologies. To improve the relevant design technology, this paper proposes a novel simulation method for deforming fiber materials. Specifically, given a 3D model with constant thickness and known fiber orientation, the proposed method simulates the deformation of a model made of thick fiber-material. The method separates a 3D sheet model into two surfaces and then flattens these surfaces into two dimensional planes by a parameterization method with involves cross vector fields. The cross vector fields are generated by propagating the given fiber orientations specified at several important points on the 3D model. Integration of the cross vector fields gives parameterization with low-stretch and low-distortion.
Kenichi Morioka,Tomomichi Hagiwara 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
This paper is concerned with caus allinear periodically time-varying(LPTV) scaling for stability analysis. The effectiveness of such a scaling technique was first shown for the robust stability analysis of linear sampled-data systems, and it was the next ended to a more general technique called noncausal LPTV scaling. Even though noncausal LPTV scaling has been shown to be more effective than causal LPTV scaling in such a context, this paper aims at showing that causal LPTV scaling can be applied even to sampled-data systems with sector nonlinearities. A numerical example is also studied to compare the effectiveness with an other method based on the conventional multiplier technique.