Chatter stability analysis of variable speed milling with helix angled cutters

Xiong, Bin; Yuan, Wancheng; Gu, Dan; Zhao, Dongfang; Wang, Baoqiang; Liu, Shulin

doi:10.1177/0954405420971079

Cited by 12 publications

(9 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Considering the helix angle of the tool. Xiong et al 62 comprehensively studied the establishment of a complex model with three degrees of freedom. An improved semi-discretization method was used to predict the milling stability of helix angle variable-speed milling.…”

Section: Chatter Predictionmentioning

confidence: 99%

Prediction, detection, and suppression of regenerative chatter in milling

Liang

Liu

et al. 2022

Advances in Mechanical Engineering

View full text Add to dashboard Cite

In metal cutting processing, especially in the processing of low-rigidity workpieces, chatter is a key factor affecting many aspects such as surface quality, processing efficiency and tool life. The academic research on chatter mainly focuses on three directions: chatter prediction, real-time detecting, and chatter suppression. With the continuous development of machining toward intelligence, the hot spots and trends of chatter research are also constantly changing. Therefore, an in-depth and systematic summary of the current situation of chatter research is urgently needed. On this basis, it is of great significance to realize the prediction of the hot spots and trends of chatter research. This article summarizes the research status from three aspects of chatter prediction, detecting and suppression, and points out the advantages and limitations of current chatter research. After in-depth discussion, this article also looks forward to the trend of chatter research. The hot spots of chatter research will focus on the following points: (1) Chatter research methods and means based on data-driven. (2) Integrated data collection, processing and decision-making methods. (3) Chatter detecting unit and chatter suppression unit are integrated in the smart spindle. (4) The chatter mechanism and detecting research of robot milling.

show abstract

Section: Chatter Predictionmentioning

confidence: 99%

Prediction, detection, and suppression of regenerative chatter in milling

Liang

Liu

et al. 2022

Advances in Mechanical Engineering

View full text Add to dashboard Cite

show abstract

“…The same process is repeated in Part B to find the midpoint. The middle line is drawn by finding the value of the distance between Section A and Section B in each pixel (5). Midline location;…”

Section: Image Processing Stagesmentioning

confidence: 99%

“…Milling machine parts, which have a rigid structure, primarily use the force generated by the process of material removal from the specimen, and absorb the excess that is the tool deflection and tool wear. 4,5 The cutting forces acting on the tool increase the wear, causing surface roughness and form defect, with this, it causes dimensional errors by changing the position of the cutting edge. 6 The resulting tool deflection deviates from the contact points of the tool, causing excessive force concentration in some areas of the cutting edge and wear faster than the normal course of the tool.…”

Section: Introductionmentioning

confidence: 99%

Prediction of tool deflection using image processing in ball-end milling

Özdemir

Bahçe

2022

Proceedings of the Institution of Mechanical Engineers, Part B:

View full text Add to dashboard Cite

In milling, some of the factors that contribute to the poor quality of products are the cutting forces. Depending on the machining parameters, the cutting forces may significantly affect the tool being used in the machining process. Tool deflection can be modeled as bending deformation. Tool deflection causes poor surface quality, geometrical and dimensional errors. For this reason, it must be addressed during milling and reduced by changing the machining parameters. In the determination of tool deflection, force-based analytical and finite element methods (FEM) and sensor measurement methods are widely used. These technologies have drawbacks such as not being able to obtain fast data, being expensive, demanding precise control, and requiring continual calibration. This study aims to determine the deflection of the tool by image processing dependent on the tool/material pair and machining parameters in the milling process. For this purpose, the AL7075 material with a free-form surface was machined on a CNC milling machine. A mathematical equation is proposed to estimate the tool deflection based on the image processing results. The method has shown that tool deviation can be detected more quickly and simply by image processing.

show abstract

“…By combining the instantaneous amplitude and frequency of all the above PF components, the complete time-frequency distribution of the original signal x (t) can be obtained, that is, the original signal can be expressed by equation (12):…”

Section: Lmdmentioning

confidence: 99%

Intelligent chatter detection for CNC machine based on RFE multi-feature selection strategy

Wang¹,

Yuan²,

Liu³

et al. 2021

Meas. Sci. Technol.

Self Cite

View full text Add to dashboard Cite

Chatter is an unstable self-excited vibration generated during processing. It not only reduces the machining efficiency, machining accuracy, the service life of machine tools and cutting tools, but also results in sound pollution and material waste. To improve the machining stability and product quality of thin-walled workpieces, effective chatter detection of machine tools is essential. This paper presented a signal feature evaluation model and multi-feature recognition system for chatter detection. First, the original signals obtained from the acceleration sensor were processed through local mean decomposition to reduce the noise in the signal. Thereafter, the correlation between the system state and the different features of amplitude domain, frequency domain and nonlinear domain was analyzed. Further, through the feature evaluation model based on recursive feature elimination, the main feature parameters related to machine tool state are obtained, and different recognition algorithms were used to verify the rationality of the fusion features. Finally, an end-to-end chatter detection method and the corresponding software system have been established. Experimental results show that the proposed method can effectively improve the accuracy of vibration detection.

show abstract

Chatter stability analysis of variable speed milling with helix angled cutters

Cited by 12 publications

References 40 publications

Prediction, detection, and suppression of regenerative chatter in milling

Prediction, detection, and suppression of regenerative chatter in milling

Prediction of tool deflection using image processing in ball-end milling

Intelligent chatter detection for CNC machine based on RFE multi-feature selection strategy

Contact Info

Product

Resources

About