On the correlation between dynamic cutting force and tool wear

Lee, L.C.; Lee, K.S.; Chen, Gan

doi:10.1016/0890-6955(89)90001-1

Cited by 78 publications

(25 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is known that the generation of chatter affects mostly the main force component (12) , while the feed force component is most sensitive to chip breaking (13) . (17 -18) .…”

Section: Introductionmentioning

confidence: 99%

Development of Intelligent Identification of Cutting States by Spectrum Analysis for CNC Turning

Tangjitsitcharoen

2008

JAMDSM

View full text Add to dashboard Cite

In order to realize the intelligent machine tools, which can autonomously determine the cutting states and can change them automatically as required due to changes in the environmental conditions, an in-process monitoring and identification of cutting states is developed for CNC turning machine to check and improve the stability of the processes. The method developed utilizes the power spectrum density, or PSD of dynamic cutting force measured during cutting. Experimental results suggested that there are basically three types of patterns of PSD when the cutting states are the continuous chip formation, the broken chip formation, and the chatter. The broken chip formation is desired in order to realize safe and reliable machining. The proposed method introduces three ratios, which are calculated from three dynamic cutting force components and obtained by taking the ratio of cumulative power spectrum density for a certain frequency range corresponding to the states of cutting to that of the whole frequency range of each dynamic cutting force component, to classify the cutting states of continuous chip formation, broken chip formation, and chatter. The algorithm was developed to calculate the values of three ratios during the process in order to obtain the proper threshold values for classification of the cutting states. The method developed has been proved by series of cutting experiments that the states of cutting are well identified regardless of the cutting conditions. The broken chips are easily obtained by changing the cutting conditions during the processes referring to the algorithm developed.

show abstract

“…It is known that the generation of chatter affects mostly the main force component (12) , while the feed force component is most sensitive to chip breaking (13) . (17 -18) .…”

Section: Introductionmentioning

confidence: 99%

Development of Intelligent Identification of Cutting States by Spectrum Analysis for CNC Turning

Tangjitsitcharoen

2008

JAMDSM

View full text Add to dashboard Cite

show abstract

“…Metal-cutting processes are often accompanied by vibrations which can be attributed to variations in the machining parameters and oscillation of the tool holder. Fluctuations in cutting force during metal cutting are caused by factors such as the variable speed of the tool relative to the workpiece, in#uence of the cutting action and amount of tool wear and the variable depth of cut due to the movement of the tool [23].…”

Section: Signal Characteristicsmentioning

confidence: 99%

Wear Monitoring in Turning Operations Using Vibration and Strain Measurements

Scheffer

Heyns

2001

Mechanical Systems and Signal Processing

111

View full text Add to dashboard Cite

“…Direct methods include optical [2], wear particle [3], radioactivity [4], tool/work-piece junction electrical resistance [5], pneumatic [6] and tool/work-piece distance measurements [7,8]. Indirect methods include those measuring cutting force [9], acoustic emission [10,11] motor power/current [12], vibration [13], cutting temperature [14], roughness [15], damping index [16], friction coe$cient [17], either alone or in combination [18]. These studies deal exclusively with turning operations which use non-rotating single point tools.…”

Section: Introductionmentioning

confidence: 99%

Multimilling-Insert Wear Assessment Using Non-Linear Virtual Sensor, Time-Frequency Distribution and Neural Networks

Tzeng

2000

Mechanical Systems and Signal Processing

View full text Add to dashboard Cite

On the correlation between dynamic cutting force and tool wear

Cited by 78 publications

References 6 publications

Development of Intelligent Identification of Cutting States by Spectrum Analysis for CNC Turning

Development of Intelligent Identification of Cutting States by Spectrum Analysis for CNC Turning

Wear Monitoring in Turning Operations Using Vibration and Strain Measurements

Multimilling-Insert Wear Assessment Using Non-Linear Virtual Sensor, Time-Frequency Distribution and Neural Networks

Contact Info

Product

Resources

About