다중치수제품 설계를 위한 산포대표인체모델 생성 및 분석 시스템 개발
- 다중치수제품 설계를 위한 산포대표인체모델 생성 및 분석 시스템 개발
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- Multivariate generation methods of representative human models (RHMs) that accommodate a designated percentage of the target population have been used for ergonomic product design. Distributed method, which is one of multivariate generation methods, has been used for multiple-size product design and mass customization such as clothes. However, it is not easy for product designer to apply distributed method to product design because of characteristics of these method which has complex and various statistical techniques and algorithms. Also, we found there are no systems for application and analysis of distributed method.
The present study is intended to develop a distributed RHM generation and analysis system for multiple-size product design. First, literatures related to distributed method and RHM generation interfaces of digital human model (DHM) simulation system were surveyed. Distributed RHM generation method consists of (1) extraction of key dimensions using techniques which are regression analysis, factor analsysis, and principal component analysis, (2) determination of distributed method using manners which are grid method, clustering method, and optimization method, (3) determination of RHMs？ body sizes using estimated case or real case. And, characteristics and limitations of RHM generation interfaces of three DHM simulation systems (Jack, RAMSIS, and CATIA Human) were grasped. In DHM simulation systems, user could not select various target population (e.g., composite gender) and target anthropometric variables.
Second, the distributed RHM generation and analysis system was developed. In this system, each specialized interfaces being applicable to five distributed RHM generation steps were provided based upon a comprehensive literature surveys and characteristics of RHM generation interfaces of DHM simulation systems. And, analysis results of generated RHM such as multivariate accommodation percentage, body sizes were provided in this system.
Lastly, an optimal sizing system for men？s flight suit design was recommended. Using the US Army Pilot male anthropometric data and 13 anthropometric variables, 18 sizing systems (3 methods of extrcation of key dimensions, 3 methods of determination of distributed methods, and 2 methods of use of RHMs？ body sizes) for 95% of accommodation rate were developed and analyzed among them. In this study, R-G-E (regression analysis ？ grid method ？ estimated case) generating 29 RHMs was selected.
In summary, the developed system can be used for multiple-size product design practically and efficiently. And, product designer can obtain optimal solutions through comparisons of various sizing systems using this system.
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