著者

中澤 愈

出版者

一般社団法人 日本機械学会

雑誌

最適化シンポジウム講演論文集 2000.4 (ISSN:24243019)

巻号頁・発行日

pp.223-228, 2000-10-03 (Released:2017-06-19)

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The methodology of the sportswear design is not yet established. The sportswear is required of the better functions than those of the usual apparels, and its design must always be done with the expressions synergic between the Basic Design (body elements, functions) and the Visual Design (esthetic element, decoration). Especially the former i.e. Body elements, is the basic element of the design, and on its treatment depends the levels of the sportswears. Thus, the way to design purposively, is to analyse a human body anatomically, and to find the joint between the human body and the design. Here as an exemple, the extensibility and the dermatome structure of the skin will be demonstrated. These functions have the deep relations with the motor function, basic function of the sportswear, and will derive the structural principle of the apparel pattern which is its apropriate expression measure.

著者

篠原 主勲 奥田 洋司

出版者

一般社団法人 日本機械学会

雑誌

最適化シンポジウム講演論文集 2008.8 (ISSN:24243019)

巻号頁・発行日

pp.25-30, 2008-11-26 (Released:2017-06-19)

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To obtain the optimal shape of a 3D object minimizing the fluid traction, an adjoint variable method based on the variational principle is formulated and applied to the finite element method. The optimality condition of the present method consists of the state equations, the adjoint equations, and the sensitivity equations. In high Reynold's number cases, shape optimization methods are demanded that the initial shape be sufficiently close to the optimal shape and that Korman vortices not be present in the computational domain. Therefore, these methods were geneally applied to the steady state of the flows. In the present paper, the 3D adjoint variable method used to decrease the traction force of an object in unsteady flow is formulated by using FEM. The particularity of this method resides in the fact that both the start of the test time and the end of the test time in the optimization are determined by the stationary condition of the Lagrange function. The state variable is calculated from the start of the test time to the end of the test time in forward time and this data is saved, while the adjoint variable is calculated in backward time by using the saved data. The algorithm of the method is implemented using HEC-MW. By using the prepared algorithm, robust convergence of the cost function can be attained. This robustness makes possible the shape optimization even under unsteady flow containing Karman vortices.