Abstract
The thermo-mechanical-vibration coupling characteristics of the cutting system has always been an important research topic in the field of machining, and the material, states, and performance of cutting tools can directly affect these coupling characteristics. In this paper, a synchronous testing system is built to collect the cutting temperature and cutting vibration near the tip of three tools with different wear states: D1 (new blade), D2 (moderately worn blade), and D3 (severely worn blade). Based on the test data and the gray correlation theory, the coupling characteristics of cutting temperature rise and cutting vibration under different tool wear states are analyzed. Based on the experimental data and least square method, (1) the regression model of cutting temperature rise about cutting vibration and cutting parameters are established, (2) the regression model of cutting vibration about cutting temperature rise and cutting parameters are established. The undetermined parameters and correlation coefficients are obtained by MATLAB software programming. The research results show that for tools D1 and D2, the coupling of cutting temperature rise and cutting vibration is a one-way coupling, that is, cutting vibration and cutting parameters significantly affects cutting temperature, but cutting temperature rise and cutting parameters has little effect on cutting vibration, while for tool D3, the coupling of cutting temperature rise and cutting vibration is a bi-directional coupling.
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The data in this paper are all obtained from experiments. All data generated during this study are included in this manuscript.
Abbreviations
- n :
-
The spindle speed
- v :
-
The cutting speed
- v f :
-
The feed speed
- a p :
-
The cutting depth
- \( \Delta \overline{T} \) :
-
The measured mean temperature rise
- \( \Delta {\tilde{T}}_a \) (axial):
-
The predicted mean temperature rise by three-way vibration and cutting parameters
- \( \Delta {\tilde{T}}_r \) (radial):
-
The predicted mean temperature rise by three-way vibration and cutting parameters
- \( \Delta {\tilde{T}}_t \) (tangential):
-
The predicted mean temperature rise by three-way vibration and cutting parameters
- a a (axial):
-
The three-way vibration acceleration
- a r (radial):
-
The three-way vibration acceleration
- a t (tangential):
-
The three-way vibration acceleration
- P :
-
The probability value of zero correlation
- \( {\overline{a}}_{\mathrm{RMS}\hbox{-} \mathrm{a}} \) (axial):
-
The measured root-mean-square value of three-way cutting vibration acceleration
- \( {\overline{a}}_{\mathrm{RMS}\hbox{-} \mathrm{r}} \) (radial):
-
The measured root-mean-square value of three-way cutting vibration acceleration
- \( {\overline{a}}_{\mathrm{RMS}\hbox{-} \mathrm{t}} \) (tangential):
-
The measured root-mean-square value of three-way cutting vibration acceleration \( {\tilde{a}}_{\mathrm{RMS}\hbox{-} \mathrm{a}} \) (axial)
The predicted root-mean-square value of three-way cutting vibration acceleration
- \( {\tilde{a}}_{\mathrm{RMS}\hbox{-} \mathrm{r}} \) (radial):
-
The measured root-mean-square value of three-way cutting vibration acceleration
- \( {\tilde{a}}_{\mathrm{RMS}\hbox{-} \mathrm{t}} \) (tangential):
-
The measured root-mean-square value of three-way cutting vibration acceleration
- D1:
-
The new blade
- D2:
-
The moderately worn blade
- D3:
-
The severely worn blade
- R D1 R D2 R D3 :
-
The gray correlation coefficients for tool D1, D2, D3
- C, x, y, z, w :
-
The undetermined coefficients
- R :
-
The correlation coefficient
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Funding
This work was supported by the Postgraduate Research and Practice Innovation Program of Jiangsu Province (KYCX20_2331), Joint scientific research project of Sino foreign cooperative education platform in Jiangsu Province, the Science and Technology Plan Project of Xuzhou City (KC20188), and Undergraduate Innovation Training Program (202010320033Z).
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Songyuan Li:Write original manuscript and translate;
Shuncai Li:Revise the paper and verify the results;
Yuting Hu:Experiment, data collection, verifying;
Eugene Popov:Test and data processing.
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Li, S., Li, S., Hu, Y. et al. Experimental study on coupling characteristics of cutting temperature rise and cutting vibration under different tool wear states. Int J Adv Manuf Technol 118, 907–919 (2022). https://doi.org/10.1007/s00170-021-07948-w
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DOI: https://doi.org/10.1007/s00170-021-07948-w