Investigating the cutting force monitoring system in the boring process

Author(s):  
Qiang Liu ◽  
Dayong Gao ◽  
Ruhong Jia ◽  
Qiang Zhou ◽  
Zhengyan Bai
2009 ◽  
Vol 16-19 ◽  
pp. 960-964 ◽  
Author(s):  
Peng Wang ◽  
Jing Lei Xin ◽  
Ji Xiang Li ◽  
Shi Wei Yin

Aim at the problem of tool cutting monitoring system between tool wear estimate by gradual information and judgment of tool failure by sharp signal, this study is to construct an integration measurement. It puts forward density parameter E of outline peak of machined surface image texture to estimate tool wear condition. It researches tool failure judgment with cutting force monitoring. Hence real-time monitoring of cutting process can be implemented to represent cutting-tool wear, failure and rationality of parameter selection in cutting state.


2021 ◽  
Author(s):  
Qiang Liu ◽  
Dayong Gao ◽  
Ruhong Jia ◽  
Qiang Zhou ◽  
Zhengyan Bai

Abstract Due to the closed environment during deep hole boring, it is impossible to observe the working state of the boring bar. Studies show that monitoring the cutting force is the most direct and effective way to reflect the processing status. In this regard, a cutting force monitoring system is designed in the present study for the boring process. The main idea of the designed monitoring system is the piezoelectric effect of the strain gauge. When the tool tip is subjected to the cutting force, the sensor deforms and the strain sensor generates a voltage signal. Accordingly, the cutting force can be obtained by establishing the correlation between the voltage and the applied cutting force. The force of the boring bar and the output of the sensor were analyzed, and an experimental platform for monitoring the boring force was built. This method is applied in a case study and the obtained results demonstrate that the developed cutting force monitoring system has good compatibility, high precision and good dynamic characteristics. It is found that that the measurement error of the designed system in the boring process is less than 9.18%, which meets the accuracy requirements of measurements in the dynamic cutting force under machining conditions.


2000 ◽  
Vol 124 (1) ◽  
pp. 26-31 ◽  
Author(s):  
Jeffrey L. Stein ◽  
Kunsoo Huh

The importance of monitoring the cutting force in the turning process has been well recognized in industry as well as in the open literature. This paper proposes a cutting force monitoring approach that does not utilize force dynamometers but rather estimates the cutting force based on the spindle motor current and speed as well as a model that relates these measurements to the cutting force. Motor current and speed can not only be inexpensively and reliably measured but, in addition, can be shown, along with the properly chosen model for the model-based estimator, to accurately estimate the cutting force. This method is demonstrated on a CNC lathe and its advantages and limitations are discussed.


2012 ◽  
Vol 529 ◽  
pp. 380-383
Author(s):  
Yu Zhang

The numerical control lathe cutting force signals online monitoring system is a kind of real-time monitoring collection system, can be in a variety of numerical control machine running smoothly above. The articles on cutting force measurement and the establishment of the formula, from the data acquisition card selection and application, the choice of system software parts design, the system design.


Author(s):  
M C Yoon ◽  
D H Chin

The chatter phenomenon shows the dynamic characteristics of tool vibration in the endmilling process and will change according to the irregular dynamic characteristics of that tool vibration. This chatter produces an adverse effect on tool life, machining integrity, surface quality of the workpiece, and other geometric accuracy. Chatter behaviour in endmilling is a complex, non-linear phenomenon, which is very difficult to detect and diagnose. It is therefore necessary to suggest a new method for analysing chatter mechanics. This paper presents a new method for the detection of chatter in the endmilling operation based on the wavelet transform. This wavelet transform method provides various ways to determine chatter characteristics. The fundamental coefficient property of the wavelet transform is reviewed. The reliability of the wavelet transform method is verified by comparing the spectra using the fast Fourier transform (FFT). The behaviour of the detail coefficients obtained by wavelet transform reveals the possibility to detect and analyse chatter and other malfunction states using tool dynamometer cutting force. Because wavelets are closely related to filter, the method presented in this paper can be applied to other real-time cutting force monitoring and analysis in a range of endmilling processes.


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