Statistical analysis of cutting force ratios for flank-wear monitoring

Lee, J.H; Kim, D.E; Lee, S.J

doi:10.1016/s0924-0136(97)00256-2

Cited by 29 publications

(25 citation statements)

References 6 publications

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“…Among the many possible machining conditions that could be monitored, tool wear is the most critical for ensuring non-disruptive machining. Any effective monitoring system must sense tool state, enable for effective tool change strategies when tools degrade, and maintain appropriate cutting conditions through-out the process [3]. If the monitoring function cannot maintain appropriate cutting conditions, the cutting process could result in poor surface quality, dimensional work piece defects, and even machine defects [2].…”

Section: Introductionmentioning

confidence: 99%

Review of Tool Condition Monitoring Methods

Visariya¹,

Ruparel²,

Yadav³

2018

IJCA

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With the increase of modern industries use of metal cutting procedure, it is evident that the tools used for this processes required proper care and monitoring. Tool wear one of the most important factors in machining processes as it greatly affects the tool life, which is important in metal cutting because of its direct impact on the quality of the finished job and also affect the efficiency of industries. Hence, ways to observe cutting tool and monitor its wear are needed for optimal use. An effective system can reduce machine downtime and economic losses. The paper presents a overview of many Tool Condition Monitoring Systems.

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Section: Introductionmentioning

confidence: 99%

Review of Tool Condition Monitoring Methods

Visariya¹,

Ruparel²,

Yadav³

2018

IJCA

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“…The feed force is most sensitive to the surface roughness while the main force is affected by the cutting conditions. [1][2][3]16,17 The main force and the feed force are hence normally adopted to predict the surface roughness during the inprocess cutting.…”

Section: Introductionmentioning

confidence: 99%

Monitoring of chip breaking and surface roughness in computer numerical control turning by utilizing wavelet transform of dynamic cutting forces

Tangjitsitcharoen

Samanmit

2015

Proceedings of the Institution of Mechanical Engineers, Part B:

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The aim of this research is to monitor and classify the broken chip signals from the dynamic cutting forces, in order to predict the surface roughness during the computer numerical control turning process utilizing the Meyer wavelet transform to decompose the dynamic cutting forces. The dynamic cutting forces of the broken chips and the surface roughness can be decomposed into the different levels. The levels of decomposed cutting forces can aid to explain the broken chip formation and the surface roughness profile in both time and frequency domains. The experimentally obtained results showed that the surface roughness frequency occurs at the higher level of decomposed cutting forces, especially at the fifth level, although the cutting conditions are changed. However, the chip breaking frequency appears at the lower level, which depends on the cutting conditions and the chip length. The ratio of the fifth level of decomposed feed forces to that of main forces is proposed to predict the surface roughness during the in-process cutting. It is understood that the broken chip formation can be separated clearly and the surface roughness can be predicted well during the cutting, regardless of the cutting conditions.

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“…Within V, f, a and workpiece fibre orientation, V was the most influential one. Lee et al (1998) conducted statistical and sensitivity analysis to examine various force ratios and recommended one of these ratios (feed force/tangential force) to be the input variable beside V, f and a, for a more precious tool wear monitoring. Sikdar and Chen (2002) studied on finding a correlation between cutting forces and the 3 dimensional flank wear surface in turning and presented mathematical models using various cutting parameters (V, f, a).…”

Section: Introductionmentioning

confidence: 99%