Development of chatter detection in milling processes

Tangjitsitcharoen, Somkiat; Pongsathornwiwat, Narongsak

doi:10.1007/s00170-012-4228-7

Cited by 36 publications

(23 citation statements)

References 9 publications

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“…The previously proposed method of the author is adopted [14,16] to classify the chatter and the nonchatter. The average variances of dynamic cutting forces are calculated during the in-process grinding as shown in Fig.…”

Section: Ratios Of Average Variances Of Dynamic Cutting Forcesmentioning

confidence: 99%

“…The following procedures and the flowchart [16] are adopted to calculate the relation between the parameters ( , , and ) and the chatter during the grinding process as shown in Fig. 4 …”

Section: Ratios Of Average Variances Of Dynamic Cutting Forcesmentioning

confidence: 99%

“…A simplified method for recognizing the cutting states has been proposed by utilizing the dynamic components of cutting forces [14,15]. The chatter can be effectively avoided in real time using the ratios of the average variances of three dynamic cutting forces [14,16].…”

Section: Introductionmentioning

confidence: 99%

“…Hence, the aim of this research is to develop an inprocess chatter detection in the grinding process by calculating the average variances of dynamic cutting forces, which has been proposed to detect the chatter in many cutting processes of the author [11,14,16].…”

Section: Introductionmentioning

confidence: 99%

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In-Process Chatter Detection in Surface Grinding

Tangjitsitcharoen

Senjuntichai

2015

MATEC Web of Conferences

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Abstract. The chatter causes the poor surface finish during the surface grinding. It is therefore necessary to monitor the chatter during the process. Hence, this research has proposed the in-process chatter detection in the surface grinding process by utilizing the dynamic cutting forces. The ratios of the average variances of three dynamic cutting forces have been adopted and applied to identify the chatter during the surface grinding process to eliminate the effects of the cutting conditions. The effects of the cutting conditions on the chatter are also studied and analyzed. The algorithm has been proposed to detect the chatter regardless of the cutting conditions. The verification of the proposed system has been proved through another experiment by using the new cutting conditions. The experimental results have run satisfaction. It is understood that the chatter can be avoided during the in-process surface grinding even though the cutting conditions are changed.

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Section: Ratios Of Average Variances Of Dynamic Cutting Forcesmentioning

confidence: 99%

“…The following procedures and the flowchart [16] are adopted to calculate the relation between the parameters ( , , and ) and the chatter during the grinding process as shown in Fig. 4 …”

Section: Ratios Of Average Variances Of Dynamic Cutting Forcesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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In-Process Chatter Detection in Surface Grinding

Tangjitsitcharoen

Senjuntichai

2015

MATEC Web of Conferences

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“…It is proved that the in-process surface roughness can be predicted well in CNC turning process by using the ratio of dynamic cutting forces [7]. The force sensor is employed to detect the chatter in the grinding process [8] and the milling process [9]. The cutting force ratio can help to cut off the effects of cutting conditions and reduce the data-processing time from the use of Fast Fourier Transform (FFT) technique.…”

Section: Introductionmentioning

confidence: 99%

In-Process Prediction of Straightness in CNC Turning by Using Wavelet Transform

Sassantiwong¹,

Tangjitsitcharoen²

2015

Proceedings of the 2nd International Conference on Green Materials and Environmental Engineering

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Abstract-The aim of this research is to monitor the dynamic cutting forces in CNC turning process in order to investigate the relation between the straightness and the dynamic cutting forces. The dynamic cutting forces occurred during the CNC turning process include the straightness and noise signals. The Daubechies wavelet transform is applied to identify those signals into different levels due to the different frequencies. The experimentally obtained results showed that the dynamic cutting forces can be used to predict the straightness under various cutting conditions in the further research by utilizing the wavelet transform.

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Chatter Detection Based on ARMAX Model-Based Monitoring Method in Thin Wall Turning Operation

Liu

Xiong

2018

Intelligent Robotics and Applications

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Development of chatter detection in milling processes

Cited by 36 publications

References 9 publications

In-Process Chatter Detection in Surface Grinding

In-Process Chatter Detection in Surface Grinding

In-Process Prediction of Straightness in CNC Turning by Using Wavelet Transform

Chatter Detection Based on ARMAX Model-Based Monitoring Method in Thin Wall Turning Operation

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