Cutting Force Evolution and its Power Spectrum Analysis with Tool Wear Progress in Ultra-Precision Raster Milling

Guo Qing Zhang; Suet  To; Gao Bo Xiao

doi:10.4028/www.scientific.net/KEM.625.20

Paper Titles

Preface, Conference Organizers

A Fast Approach to Obtain High-Precision Measurement of the Minimum Circumscribed Cylinder Using Computer Drawing
p.3

A New Method of Reducing the Measurement Blind Area for MPS
p.9

Calibration for Laser Scanners Based on the NIM 80m Indoor Ranging Facility
p.14

Cutting Force Evolution and its Power Spectrum Analysis with Tool Wear Progress in Ultra-Precision Raster Milling
p.20

Decision Rules and Risk Analysis
p.26

Design and Development of a Novel Coordinate Measuring Machine with 3-PUU Parallel Mechanism
p.34

Error Detection Technology for Calibrating Precision of Non-Contact Coordinate Measuring Machine
p.42

Evaluation of Straightness of Two-Axes Stage
p.47

HomeKey Engineering MaterialsKey Engineering Materials Vol. 625Cutting Force Evolution and its Power Spectrum...

Cutting Force Evolution and its Power Spectrum Analysis with Tool Wear Progress in Ultra-Precision Raster Milling

Abstract:

In this paper, cutting force and its power spectrum analysis at different tool wear levels are explored. A dynamic model is established to simulate the measured cutting force compositions, and a series of cutting experiments have been conducted to investigate the cutting force evolution with the tool wear progress. Research results reveal that in the time domain, the cutting force in UPRM is characterized as a force pulse follows by a damped vibration signals, the vibration can be modeled by a second order impulse response of the measurement system. While in the frequency domain, it is found that the power spectrum density at the natural frequency of dynamometer increases with the progress of tool wear, which therefore can be utilized to monitor diamond tool wear in UPRM.

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Periodical:

Key Engineering Materials (Volume 625)

Pages:

20-25

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.625.20

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Online since:

August 2014

Authors:

Guo Qing Zhang, Suet To*, Gao Bo Xiao

Keywords:

Cutting Force, Diamond Tool Wear, Power Spectrum Analysis, Ultra-Precision Raster Milling

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* - Corresponding Author

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