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An innovative methodology of product design from nature

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Wen, Huii-I, Zhang, Shu-jun, Hapeshi, Kevin and Wang, Xiao-feng (2008) An innovative methodology of product design from nature. Journal of Bionic Engineering, Volume 5 (Number 1). pp. 75-84. doi:10.1016/S1672-6529(08)60009-8

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Abstract

Nature is an information sourcebook of behaviour, function, colour and shape which can inspire visual design and invention. Studying the form and functional characteristics of a natural object can provide inspiration for product design and help to improve the marketability of manufactured products. The inspiration can be triggered either by direct observation or captured by three-dimensional (3D) digitising techniques to obtain superficial information (geometry and colour). An art designer often creates a concept in the form of a two-dimensional (2D) sketch while engineering methods lead to a point cloud in 3D. Each has its limitations in that the art designer commonly lacks the knowledge to build a final product from a 2D sketch and the engineering designer's 3D point clouds may not be very beautiful. We propose a method for Product Design from Nature (PDN), coupling aesthetic intent and geometrical characteristics, exploring the interactions between designers and nature's systems in PDN. We believe that this approach would considerably reduce the lead time and cost of product design from nature.

Item Type: Journal Article
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TS Manufactures
Divisions: Faculty of Science > Engineering
Library of Congress Subject Headings (LCSH): Product design -- Methodology, Nature, Design -- Methodology
Journal or Publication Title: Journal of Bionic Engineering
Publisher: Kexue Chubanshe
ISSN: 1672-6529
Official Date: March 2008
Dates:
DateEvent
March 2008Published
Volume: Volume 5
Number: Number 1
Number of Pages: 10
Page Range: pp. 75-84
DOI: 10.1016/S1672-6529(08)60009-8
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

Data sourced from Thomson Reuters' Web of Knowledge

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