Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Analytical Stability Prediction in Five Axis Ball-End Milling
University West, Department of Engineering Science, Division of Manufacturing Processes. (PTW)ORCID iD: 0000-0001-9331-7354
2013 (English)In: Proceedings of the International Conference on Advanced Manufacturing Engineering and Technologies NEWTECH 2013 / [ed] Andreas Archenti and Antonio Maffei, Stockholm: KTH Royal Institute of Technology, 2013, p. 189-198Conference paper, Published paper (Refereed)
Abstract [en]

In five axis ball-end milling, the cutting edge is a continuous curve and the engagement with workpiece changes as the cutting tool rotates. Therefore the sensitivity to vibration varies along the cutting edge and as the tool rotates. In this paper, the vibration-force relationship (VFR) is obtained for infinitesimal length of cutting edge as a function of tool’s rotation angle. Numerical integration results in the VFR of the whole cutting edge and the tool. VFR of the tool is coupled to the dynamic vibration model of the tool and the workpiece to predict the possibility of vibrational instability. This algorithm is then used to predict the effects of changing the lead angle in a test setup with a flexible depth of cut direction. The analytical results, along with experiments demonstrate that the large lead angles considerably improve the stability of the process.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2013. p. 189-198
Keywords [en]
five-axis, ball-end milling, chatter, stability, lead angle
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
ENGINEERING, Manufacturing and materials engineering; Work Integrated Learning
Identifiers
URN: urn:nbn:se:hv:diva-5692ISBN: 978-91-7501-892-8 (print)OAI: oai:DiVA.org:hv-5692DiVA, id: diva2:662174
Conference
International Conference on Advanced Manufacturing Engineering and Technologies NEWTECH 2013 Stockholm, Sweden 27-30 October 2013
Projects
Vinnova FFI, Vibrations during Milling of think walled aerospace components
Funder
VinnovaAvailable from: 2013-11-06 Created: 2013-11-06 Last updated: 2023-04-14Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

KTH's fulltext

Authority records

Eynian, Mahdi

Search in DiVA

By author/editor
Eynian, Mahdi
By organisation
Division of Manufacturing Processes
Production Engineering, Human Work Science and Ergonomics

Search outside of DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 562 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf