Fast Detection of Chatter in End-Milling Using Pseudo Auto-Correlation Function | Zendy

Kenji SHIMANA | Zendy; Eiji Kondo | Zendy; Hiroko Karashima | Zendy; Norio KAWAGOISHI | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Fast Detection of Chatter in End-Milling Using Pseudo Auto-Correlation Function

Author(s) -

Kenji SHIMANA,

Eiji Kondo,

Hiroko Karashima,

Norio KAWAGOISHI

Publication year - 2012

Publication title -

international journal of automation technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.513

H-Index - 18

eISSN - 1883-8022

pISSN - 1881-7629

DOI - 10.20965/ijat.2012.p0728

Subject(s) - vibration , reliability (semiconductor) , fast fourier transform , reduction (mathematics) , end milling , constant (computer programming) , machine tool , function (biology) , tool wear , structural engineering , mathematics , engineering , machining , computer science , algorithm , acoustics , mechanical engineering , geometry , physics , power (physics) , quantum mechanics , evolutionary biology , biology , programming language

The chatter vibrations cause problems, such as the reduction of tool life, tool fracture, and a deterioration in the quality of the machined surface. This paper presents a fast detection method for expected chatter in high-speed end-milling. In this study, a pseudo auto-correlation function is applied to tool vibration data sampled at intervals as the spindle rotated at a constant angle. The calculation time for the pseudo auto-correlation function is expected to be shorter than that of the FFT method. As a result, it was indicated that detection reliability under the proposed method was approximately equal to the detection reliability by the previous methods by using tool vibration data sampled at constant intervals of time.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research