Characterization of electrically-assisted micro-rolling for surface texturing using embedded sensor

Man Kwan Ng, Zhaoyan Fan, Robert X. Gao, Edward F. Smith, Jian Cao*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

Electrically-assisted micro-rolling (EAμR) takes advantage of localized heating by loading current through the deformation zone to enhance the texturing capability of Ti-6Al-4V and AA3003-H14. The challenge to achieve a desired deformation pattern is the lack of reliable models to capture the often non-uniform mechanical and thermal behaviors. In this paper, pressure distributions are measured by a custom-designed, tool-embedded sensor. Furthermore, the effects of current on texturing are first characterized using a coupled mechanical and thermal model. Comparison between modeling and experimental results confirmed the effectiveness of EAμR on texturing and the importance of multi-physics modeling.

Original languageEnglish (US)
Pages (from-to)269-272
Number of pages4
JournalCIRP Annals - Manufacturing Technology
Volume63
Issue number1
DOIs
StatePublished - 2014

Keywords

  • Electrically-assisted forming
  • Rolling
  • Sensor

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

Fingerprint Dive into the research topics of 'Characterization of electrically-assisted micro-rolling for surface texturing using embedded sensor'. Together they form a unique fingerprint.

Cite this