Parametric design for aesthetic shapes by curve-ruler utilization

Tetsuo Oya, Hiroshi Kato, Masatake Higashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a method to generate an aesthetic surface which is represented by two guide curves and a curve-ruler. A curve-ruler is an expression of a ruler whose curvature variation is monotone and aesthetic, and it is a mathematical version of the actual ruler used in the automotive industry. A ruler-surface is a surface which is a locus of the curve-ruler moving along two guide curves. First, a generation procedure of a guide curve and conditions for producing an aesthetic surface are described. Then, a ruler-surface is formulated parametrically according to the movement of the ruler along two guide curves. Examples of ruler-surfaces show that this method can generate surfaces with different characteristics by various kinds of curve-rulers. Modeling examples are presented indicating that the method could be a supportive system for designer's intuitive work.

Original languageEnglish
Title of host publication2008 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008
Pages887-896
Number of pages10
EditionPART B
Publication statusPublished - 2009
Externally publishedYes
Event2008 ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008 - New York City, NY, United States
Duration: 2008 Aug 32008 Aug 6

Publication series

Name2008 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008
NumberPART B
Volume3

Other

Other2008 ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008
Country/TerritoryUnited 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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