Basic study on parameters to quantitatively evaluate shape impression

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Manufacturing trends are gradually changing from mass production and mass consumption to "production of diverse products in small quantities". For this reason, design is recognized as an important element with which a customer judges value. In order to employ the designer's sensitivity and realize high quality designs, CAD systems which can carry out analysis evaluation of design properties quantitatively, and improve design based on the results is required. In the initial stage of designing, designers embody image form by repeating a sketch. In this process, if the form image of a sketch curve can be evaluated quantitatively and the design form image can be controlled based on the evaluation parameters, this will provide effective design support. In this research, we proposed parameters by which the image of sketch form can be evaluated quantitatively, and investigate the tendencies of various curves and curved surface form. We also developed a system which reconstructs design form using the proposed evaluation parameters.

本文言語English
ホスト出版物のタイトル2008 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008
ページ851-858
ページ数8
PART B
出版ステータスPublished - 2009 11 23
イベント2008 ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008 - New York City, NY, United States
継続期間: 2008 8 32008 8 6

出版物シリーズ

名前2008 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008
番号PART B
3

Other

Other2008 ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008
CountryUnited States
CityNew York City, NY
Period08/8/308/8/6

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Industrial and Manufacturing Engineering
  • Mechanical Engineering

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