Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Micromilling strategies for machining thin features

Popov, Krastimir Borisov, Dimov, Stefan Simeonov, Pham, Duc Truong and Ivanov, Atanas 2006. Micromilling strategies for machining thin features. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 220 (11) , pp. 1677-1684. 10.1243/09544062JMES192

[img]
Preview
PDF
Download (857kB) | Preview

Abstract

Micromilling of metal structures with ‘thin’ features represents a major challenge towards broadening the use of this technology in a range of microengineering applications, for example in producing multi-channel microstructures, housing for mechanical microdevices, and surgical instruments. The most common thin features seen in microengineering products are ribs and webs. This research identifies the main factors affecting the reliability of micromilling technology when employed for the machining of microcomponents incorporating thin features. The general principles that should be followed in designing machining strategies for such features are discussed in this article. Taking these general principles into account, new strategies are proposed to reduce the negative effects of identified factors on part quality and, at the same time, to overcome some of the problems associated with the use of conventional machining strategies for micromilling of ribs and webs. To implement and verify them, initially the milling operations were programmed manually, and then a special CAM module was developed for their automatic generation. Finally, this article reports the validation of the proposed strategies for machining thin features, which was carried out on a specially designed test part.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Subjects: T Technology > TJ Mechanical engineering and machinery
Uncontrolled Keywords: micromilling; thin ribs and webs; CAD/CAM
Publisher: SAGE
ISSN: 0954-4062
Last Modified: 10 Oct 2017 13:08
URI: http://orca.cf.ac.uk/id/eprint/8360

Citation Data

Cited 17 times in Google Scholar. View in Google Scholar

Cited 19 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item