Interdisciplinary approach to tool-handle design based on medical imaging

Gregor Harih (Author), Andrej Čretnik (Author)

Abstract

Products are becoming increasingly complex; therefore, designers are faced with a challenging task to incorporate new functionality, higher performance, and optimal shape design. Traditional user-centered design techniques such as designing with anthropometric data do not incorporate enough subject data to design products with optimal shape for best fit to the target population. To overcome these limitations, we present an interdisciplinary approach with medical imaging. The use of this approach is being presented on the development of an optimal sized and shaped tool handle where the hand is imaged using magnetic resonance imaging machine. The obtained images of the hand are reconstructed and imported into computer-aided design software, where optimal shape of the handle is obtained with Boolean operations. Methods can be used to develop fully customized products with optimal shape to provide best fit to the target population. This increases subjective comfort rating, performance and can prevent acute and cumulative trauma disorders. Provided methods are especially suited for products where high stresses and exceptional performance is expected (high performance tools, professional sports, and military equipment, etc.). With the use of these interdisciplinary methods, the value of the product is increased, which also increases the competitiveness of the product on the market.

Keywords

načrtovanje izdelkov;ergonomija;povratni inženiring;product design;ergonomics;medical imaging;reverse engineering;innovation;

Data

Language:	English
Year of publishing:	2013
Typology:	1.01 - Original Scientific Article
Organization:	UM FS - Faculty of Mechanical Engineering
UDC:	004.9:61
COBISS:	17093654
ISSN:	2314-6141
Views:	1002
Downloads:	318
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	Slovenian
Secondary keywords:	načrtovanje izdelkov;ergonomija;povratni inženiring;
URN:	URN:SI:UM:
Type (COBISS):	Scientific work
Pages:	8 str.
Issue:	ǂVol. ǂ2013
Chronology:	2013
DOI:	10.1155/2013/159159
ID:	1439646