Stiffness measurement of parallel kinematic machines considering gravity effect

Shakya Bandara, Yan Jin, Mien Van, Dan Sun, Rao Fu, Patrick Curley, Colm Higgins

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)
6 Downloads (Pure)

Abstract

Parallel Kinematic Machine (PKM) is a new type of machine tool, which has the potential to fill in the gap between traditional CNC machines and industrial robots, due to its flexibility and superior motion dynamics. Stiffness is an important property of a machine tool, as it will affect the machining capability. Although much research has been conducted on stiffness modelling and analysis, most of them employ simplified models and gravity effects have not been well considered or characterized for PKMs. To fill in the knowledge gap, this paper introduces a new experimental stiffness measurement method considering the effect of gravity on the machine tool. An experimental procedure was developed in order to separate the gravity effects on stiffness from the machine structure.

Original languageEnglish
Title of host publication Proceedings of the 19th International Conference on Manufacturing Research, incorporating the 36th National Conference on Manufacturing Research
EditorsMahmoud Shafik, Keith Case
PublisherIOS Press
Pages155-160
ISBN (Electronic)9781643683317
ISBN (Print)9781643683300
DOIs
Publication statusPublished - 23 Nov 2022
Event19th International Conference on Manufacturing Research 2022 - University of Derby, Derby, United Kingdom
Duration: 06 Sept 202208 Sept 2022

Publication series

NameAdvances in Manufacturing Technology
VolumeXXXV

Conference

Conference19th International Conference on Manufacturing Research 2022
Abbreviated titleICMR 2022
Country/TerritoryUnited Kingdom
CityDerby
Period06/09/202208/09/2022

Keywords

  • PKM
  • stiffness
  • gravity

Fingerprint

Dive into the research topics of 'Stiffness measurement of parallel kinematic machines considering gravity effect'. Together they form a unique fingerprint.

Cite this