Automating error attenuation of cutting tools using smart material

Maki K. Rashid, Abdullah M. Al-Shabibi

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

Abstract

Vibration attenuation techniques in cutting tools can save old machines and enhance design flexibility in new manufacturing systems. The finite element method is employed to investigate structural stiffness, damping, and switching methodology under the use of smart material in tool error attenuation. This work discusses the limitations of using lumped mass modeling in toolpost dynamic control. Transient solution for tool tip displacement is obtained when pulse width modulation (PWM) is used for smart material activation during the compensation of the radial disturbing cutting forces. Accordingly a Fuzzy algorithm is developed to control actuator voltage level toward improved dynamic performance. The required minimum number of PWM cycles in each disturbing force period is investigated to diminish tool error. Time delay of applied voltage during error attenuation is also evaluated. Toolpost static force-displacement diagram as required to predict voltage intensities for error reduction is tested under different dynamic operating conditions.

Original languageEnglish
Title of host publicationProceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference - DETC2005
Pages691-698
Number of pages8
Volume2 A
Publication statusPublished - 2005
EventDETC2005: ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference - Long Beach, CA, United States
Duration: Sep 24 2005Sep 28 2005

Other

OtherDETC2005: ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
CountryUnited States
CityLong Beach, CA
Period9/24/059/28/05

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Automating error attenuation of cutting tools using smart material'. Together they form a unique fingerprint.

  • Cite this

    Rashid, M. K., & Al-Shabibi, A. M. (2005). Automating error attenuation of cutting tools using smart material. In Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference - DETC2005 (Vol. 2 A, pp. 691-698)