著者

吉田 皓太郎 若松 栄史 岩田 剛治 久保 貴裕

出版者

一般社団法人 日本機械学会

雑誌

日本機械学会論文集 (ISSN:21879761)

巻号頁・発行日

vol.87, no.903, pp.21-00201, 2021 (Released:2021-11-25)

参考文献数

12

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A method to design the function of the brassiere cup shape as developable surfaces and its developed shape using Gaussian Process Regression is proposed. A developable surface, which is generated by sweeping a straight line along a three-dimensional curve, can be seen many products such as ships, buildings, clothes, and so on. The shape has not only its aim which can be formulated but also that which cannot be formulated such aesthetics. In this paper, we focus on a brassiere cup. A brassiere cup is composed of several patterns and the cup shape is designed by repeatedly making paper cup model and then checking its three-dimensional shape. For improvement of design efficiency of brassieres, such trial and error must be reduced. The difficulty of the design process is caused by the function of a brassiere cup. Its function, such as to enhance woman’s breast size, et.al., is difficult to formulate and unclearly correlated with its three-dimensional cup shape. In this paper, we propose a method to support the design of the three-dimensional shape of a cup and its developed shape by machine learning when the cup shape and quantitatively evaluated value of its function are given as a set of data. First, we formulate the cup shape as developable surface using differential geometry. Then, we propose the method to extract the attribute from the three-dimensional cup shape based on the differential geometry and a predictor of an output value for its attribute using Gaussian Process Regression. The validity of the method is confirmed by a numerical experiment regarding the evaluated value using its volume and size. Finally, we propose a method to design the cup shape using this predictor. We experimented whether our proposed method can output the approximate cup shape when the evaluated value of the cup is given.

著者

白井 恭介 若松 栄史 森永 英二 久保 貴裕 堤 成一郎

出版者

一般社団法人 日本繊維機械学会

雑誌

Journal of Textile Engineering (ISSN:13468235)

巻号頁・発行日

vol.67, no.3, pp.41-56, 2021-06-15 (Released:2021-10-06)

参考文献数

11

被引用文献数

1

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A versatile method is proposed to predict the shape of a paper model of a three piece brassiere cup. A brassiere cup consists of several cloth and wire parts and the shapes of cloth parts called patterns are determined by repeating creation of a paper cup model, check of its 3D shape, and modification of 2D shapes of patterns. For efficient design of a brassiere cup, prediction of its 3D shape with a simulation is required. The deformed shape of a paper pattern is represented as a single or multiple developable surfaces. So, a model that can represent a pattern both as a single surface and as multiple surfaces is proposed. Which case is selected depends on the magnitude of the potential energy of the pattern in each case. The potential energy of the pattern and geometric constraints imposed on the pattern are formulated based on the model. Minimizing the potential energy under geometric constraints derives the stable shape of the pattern in either case. The validity of the proposed method was verified by comparing predicted and measured 3D shapes of paper models of two types of three piece cups.

著者

吉田 皓太郎 若松 栄史 岩田 剛治 久保 貴裕

出版者

一般社団法人 日本機械学会

雑誌

設計工学・システム部門講演会講演論文集 2020.30 (ISSN:24243078)

巻号頁・発行日

pp.3202, 2020 (Released:2021-06-29)

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A method to design the function of the brassiere cup shape as developable surfaces and its developed shape using Gaussian Process Regression is proposed. A developable surface, which is generated by sweeping a straight line along a three-dimensional curve, can be seen many products such as ships, buildings, clothes, and so on. The shape has not only its aim which can be formulated but also that which cannot be formulated such as creativity. In this paper, we focus on a brassiere cup. A brassiere cup is composed of several patterns and the cup shape is designed by repeatedly making paper cup model and then checking its three-dimensional shape. For improvement of design efficiency of brassieres, such trial and error must be reduced. The difficulty of the design process is caused by the function of a brassiere cup. Its function, such as to enhance woman’s breast size, et.al., is difficult to formulate and not correlate its three-dimensional cup shape. In this paper, we aim to predict the function of brassiere cup from its cup shape for efficiency of design process of a brassiere cup. First, we formulate the cup shape as developable surface using differential geometry. Then, we proposed a method to parameterize a set of function which characterize the surface using Gaussian Process Regression. Finally, we experimented our proposed method when the evaluated value using its volume and size of the cup is given.