Abstract
The tool tip vibration measurement has a great significance for online surface topography prediction and active vibration control. Many measurement methods have been developed. However, most of these methods are difficult to be applied in actual machining process for the following problems: the chips and cutting fluid will cause damage to the sensor or distort its measurement results and the sensor must be installed again when replacing the cutting tool. In order to overcome the above problems, this paper proposes an indirect measurement method: the vibration of the tool tip is obtained from the vibration of the measurement point on the turret. The relationship between the tool tip vibration and the turret measurement point vibration is obtained through impact tests. The vibration of the measurement point on the turret is measured via an accelerometer, which is easy to install. The measurement point is so far away from the cutting area and chip evacuation zone that the accelerometer and its measurement results will not be affected by the chips and cutting fluid. The accuracy of the measurement method is checked by comparing the calculated tool tip vibration calculated from the vibration of the turret measurement point to the directly measured results, which is measured via an accelerometer installed below the tool tip. The comparison results show that the calculated tool tip vibration at main frequencies as well as low frequencies has a high accuracy. Moreover, the effectiveness of the measurement method is verified through machined surface profile.
Similar content being viewed by others
References
Chen C, Chiang K, Chou C, Liao Y (2011) The use of D-optimal design for modeling and analyzing the vibration and surface roughness in the precision turning with a diamond cutting tool. Int J Adv Manuf Technol 54(5–8):465–478
Devillez A, Dudzinski D (2007) Tool vibration detection with eddy current sensors in machining process and computation of stability lobes using fuzzy classifiers. Mech Syst Signal Process 21(1):441–456
Zhang SJ, To S (2013) A theoretical and experimental investigation into multimode tool vibration with surface generation in ultra-precision diamond turning. Int J Mach Tools Manuf 72:32–36
Lee SS, Chen JC (2003) On-line surface roughness recognition system using artificial neural networks system in turning operations. Int J Adv Manuf Technol 22(7–8):498–509
Chen C, Liu N, Chiang K, Chen H (2012) Experimental investigation of tool vibration and surface roughness in the precision end-milling process using the singular spectrum analysis. Int J Adv Manuf Technol 63(5–8):797–815
Tatar K, Gren P (2008) Measurement of milling tool vibrations during cutting using laser vibrometry. Int J Mach Tools Manuf 48(3–4):380–387
Albrecht A, Park SS, Altintas Y, Pritschow G (2005) High frequency bandwidth cutting force measurement in milling using capacitance displacement sensors. Int J Mach Tools Manuf 45(9):993–1008
Chang H, Kim J, Kim IH, Jang DY, Han DC (2007) In-process surface roughness prediction using displacement signals from spindle motion. Int J Mach Tools Manuf 47(6):1021–1026
Kim C, Oh J, Park C (2014) Modelling vibration transmission in the mechanical and control system of a precision machine. CIRP Ann Manuf Technol 63(1):349–352
Wang H, To S, Chan CY (2013) Investigation on the influence of tool-tip vibration on surface roughness and its representative measurement in ultra-precision diamond turning. Int J Mach Tools Manuf 69:20–29
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Liu, H., Tang, S., He, S. et al. A method of measuring tool tip vibration in turning operations. Int J Adv Manuf Technol 85, 1325–1337 (2016). https://doi.org/10.1007/s00170-015-8021-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00170-015-8021-2