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      • KCI등재

        Development of design system for crack patterns on cup surface based on KANSEI

        Mai Misaka,Hideki Aoyama 한국CDE학회 2018 Journal of computational design and engineering Vol.5 No.4

        With the development of manufacturing technology in recent years, as well as with the industrial product development, differentiation in the design aspect is becoming effective, not in terms of performance or quality. In addition, as consumers seek products that match their own sensibilities (KANSEI), designers are required to propose designs that highly conform to concept presented by client, while understanding the KANSEI of diversified consumers; therefore, their burden is increasing. To address these issues, the support of the development of computer-aided design has advanced; however, it is difficult to reflect human KANSEI or to generate a design that induces a natural impression through computers. The purpose of this research is to develop a system that incorporates the KANSEI of users, and emits a pattern design that induces a natural impression using a computer. This work is focused on crack patterns that can be observed on pottery surfaces, and a method for generating crack patterns on a cup surface is suggested. In this study, a Bézier curved surface and fluctuation were employed in order to induce a nat-ural impression. In addition, by using the neural network, the crack patterns were associated with user KANSEI. The neural network was composed of three layers, namely the input layer, the hidden layer, and the output layer; it adopted the sigmoid function as the transition function and the back propagation as the learning method. As a result, a system was constructed, in which a crack pattern that satisfied the input produces an output according to the desired impression of the user.

      • Fabric Model for Clothing Design by Wrinkle Simulation

        Ayumi Hara,Hideki Aoyama,Tetsuo Oya (사)한국CDE학회 2013 한국CAD/CAM학회 국제학술발표 논문집 Vol.2010 No.8

        During the design process in clothing production, fashion designers must imagine the state of the fabric used. The state of wrinkles formed on fabric according to human posture and movements is an important design element. However, the selection process of the fabric for realizing the design envisioned by the designer takes a lot of time and effort. By using clothing simulation, it is possible to identify the parameters of weave and mechanical properties of the yarn fabric for realizing the design that the designer requires, and this can facilitate the selection process. Many fabric models taking into account the mechanical properties of fabric based on mass spring models have been proposed, but none of the models proposed take into account the state of friction and slipping at the contact point of the warp and weft. In this paper, a method for setting the weave and mechanical properties of the fabric as parameters in order to simulate a state in which the fabric covers an object or human, and a system based on this method were proposed. The proposed system can perform simple simulation using a mass spring model that takes into account slipping at the contact points of the warp and weft of the fabric worn.

      • KCI등재

        Fabric model for clothing design by wrinkle simulation

        Ayumi Hara,Hideki Aoyama,Tetsuo Oya 대한기계학회 2014 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.28 No.7

        During the design process in clothing production, fashion designers must imagine the state of the fabric used. The state of wrinklesformed on fabric according to human posture and movements is an important design element. However, the selection process of the fabricfor realizing the design envisioned by the designer takes a lot of time and effort. By using clothing simulation, it is possible to identifythe parameters of weave and mechanical properties of the yarn fabric for realizing the design that the designer requires, and this can facilitatethe selection process. Many fabric models taking into account the mechanical properties of fabric based on mass spring modelshave been proposed, but none of the models proposed take into account the state of friction and slipping at the contact point of the warpand weft. In this paper, a method for setting the weave and mechanical properties of the fabric as parameters in order to simulate a state inwhich the fabric covers an object or human, and a system based on this method were proposed. The proposed system can perform simplesimulation using a mass spring model that takes into account slipping at the contact points of the warp and weft of the fabric worn.

      • Robust Kansei Design Based on Taguchi Method

        Yuka Kawamura,Hideki Aoyama,Tetso Oya (사)한국CDE학회 2013 한국CAD/CAM학회 국제학술발표 논문집 Vol.2010 No.8

        During the design planning process in product development, aesthetic designs that can provide the desired impression are sought. For this reason, many scientific analysis methods for adjusting product designs closer to consumer preferences have been proposed. However, the creation of product designs that match consumer sensitivity, which varies extensively by individual, involves many problems. Using floral patterns as an example, this research proposes a control method to generate designs which meet individual consumer sensitivity based on the Taguchi method. First, floral patterns were constructed using a L36 orthogonal table. Next, the Kansei data of consumers was extracted using the SD method and Kansei words, and the Kansei SN ratio was calculated. The relationship between the design parameters and consumer sensitivity were then analyzed by multiple linear regression analysis and quantification theory 1. Finally, the floral patterns were reconstructed. The basic system for the proposed technique was built, and its usefulness was verified through experiments.

      • KCI등재

        Scheduling for Assembly Line with Human–Robot Collaboration

        Kosuke Inoue,Hideki Aoyama 한국정밀공학회 2023 한국정밀공학회지 Vol.40 No.2

        In the scheduling of assembly lines with human–robot collaboration, variations in workload caused by differences in the available working hours of workers and robots must be minimized. A scheduling method that considers buffers shared by automated guided vehicles and cooperative assembly by multiple workers is proposed herein. In particular, cooperative work requires an assembly schedule that minimizes the make span and satisfies the delivery date, while accounting for the possibility of work partitioning, the number of workers, as well as their available time slots and skills. Hence, it is difficult to obtain an exact optimal solution within a reasonable computation time using existing methods such as mathematical programming. Heuristic or metaheuristic approaches are effective for solving this problem. However, these approaches are not suitable for cooperative assembly by multiple workers. Therefore, a genetic algorithm supported by dispatching rule with four genes is proposed. Computational experiments are conducted based on multiple worker skills. The results showed that when the worker skills are the same, the genetic representation of the job name and part processing order is effective, whereas when the worker skills are different, the genetic representation of the cooperative process with the worker for each operation is effective.

      • KCI등재

        Realization and Scheduling of Free Spot Assembly Method for Machine Tools Using Cooperative Industrial Robots

        Kosuke Inoue,Hideki Aoyama 한국정밀공학회 2023 한국정밀공학회지 Vol.40 No.4

        The manufacturing industry is increasingly demanding flexible manufacturing and existing manufacturing methods with fixed equipment do not meet this requirement. The free spot assembly system is an ultra-flexible method that responds to this demand, enabling spatiotemporal free assembly by conveying all necessary resources with automated guided vehicles (AGVs). Although some studies have proposed free spot assembly, free spot assembly feasibility for assembling heavy objects, such as machine tools, by aligning them at high precision has not been verified. Work hour shifts, differences in worker skill levels, and cooperative work with robots have also not been considered in free spot assembly scheduling. This paper presents elemental technologies for realizing a free spot assembly system, with a scheduling method where a genetic algorithm is supported by dispatching rules with six genes. The computational results reveal the effectiveness of the proposed algorithm.

      • KCI등재

        Shrinkage Error Analysis in Selective Laser Sintering Hybrid Milling

        Trung Nghiep Nguyen,Hideki Aoyama,Ichiro Araie 한국정밀공학회 2021 International Journal of Precision Engineering and Vol.22 No.7

        Selective laser sintering hybrid milling (SHM) is an advanced manufacturing process that combines the advantages of both metal powder bed fusion and milling. Using this technology, extremely complex products can be fabricated with high accuracy and reasonable surface quality. SHM has enormous potential in the application of mold fabrication; molds with free-form inner cooling channels can be produced with this technology. The key feature of this technology is that milling is conducted not only after, but also during the forming process. However, this leads to the issue that although machined layers of products have a high level of accuracy without thermal deformation, the addition of new layers causes the materials to undergo shrinkage and deformations to occur on their machined layers. The dimensional error due to shrinkage significantly affects to the accuracy of SHM process; therefore, a completely understanding of the formation error due to shrinkage is highly important in developing efficient solutions. In this study, shrinkage deformation is observed in detail through the results of simulation using finite element analysis. Three shrinkage rules and the unclamping effect are proposed to completely explain the shrinkage error shape in SHM. Finally, an experiment is conducted to confirm the final result of shrinkage.

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