Integration of anthropometric data within a computer aided design model.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Integration of anthropometric data within a computer aided design model.
Συγγραφείς: Williams, G. L., Torrens, G. E., Hodgson, A. R.
Πηγή: Proceedings of the Institution of Mechanical Engineers -- Part B -- Engineering Manufacture (Professional Engineering Publishing); Oct2004, Vol. 218 Issue 10, p1417-1421, 5p
Θεματικοί όροι: Computer-aided design, Rapid prototyping, Industrial research, Prototypes, Human anatomy, Human physiology, Decision making
Περίληψη: High-performance clothing and body-worn products require good fit for the wearer. This is to ensure that they provide protection while maintaining comfort, mobility and good interaction with the surrounding environment. The incorporation of anthropometric data (measurements of proportions and sizes of the human body) into a new product design provides a more precise starting point for evidence-based design decision-making. It also ensures that these products are generated from information of the intended end-user. Computer aided design (CAD) and computer aided manufacture (CAM) can be used accurately to reproduce the detailed designs generated using anthropometry. This paper describes how manually collected anthropometric data can be integrated into a CAD model and then, through rapid prototyping techniques, used as a design or manufacturing quality assurance tool to make it possible to produce customized body-worn technologies that enhance the fit for the user, improving their overall task performance. This has highlighted the importance of ensuring that the anthropometric data collected are appropriate for the requirements of the new product developer, in this case for glove design and manufacture. [ABSTRACT FROM AUTHOR]
Copyright of Proceedings of the Institution of Mechanical Engineers -- Part B -- Engineering Manufacture (Professional Engineering Publishing) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index