Development of helmet mold design system using 3D anthropometric analysis. Issue 3 (15th January 2020)

• Record Type: Journal Article
• Authors: Kang, Yeonghoon; Kim, Sungmin
• Is Part Of: International journal of clothing science and technology. Volume 32:Issue 3(2020)
• Page Start: 446
• Page End: 456
• Publication Date: 2020-01-15
• Subjects: Three-dimensional printing -- Free form deformation -- Script-based body measurement -- Three-dimensional body data -- Helmet mold; Clothing and dress -- Periodicals; Textile fabrics -- Periodicals; 677
• DOI: 10.1108/IJCST-02-2019-0022
• Languages: English
• ISSNs: 0955-6222

Abstract

Abstract : Purpose: The purpose of this paper is to develop a software can generate helmet mold from three-dimensional (3D) human body scan data. Design/methodology/approach: An algorithm has been developed to divide data into arbitrary number of groups considering the width, length and height of head using the standard normal distribution theory. A basic helmet mold is generated automatically based on the shape of representative convex hull for each group. Findings: It is possible to analyze the 3D human body scan data of groups with various characteristics and apply them to mass customized production of helmet. Practical implications: This methodology can be applied for designing other products related to the head shape such as goggles and masks by varying the measurement items of the head. Social implications: This methodology will enable mass customized production centered on consumers in the production and design of various equipment and goods to be worn on the head. Originality/value: An algorithm has been developed to define the vertex point, which is the limit of scan data, for the analysis of 3D human body scan data scan data. In addition, a system was developed that can mass-produce customized products by effectively dividing groups while taking into account the physical characteristics of consumers.