Investigation of Tool Wear and Surface Finish by Analyzing Vibration Signals in Turning<i>Assab-705</i>Steel

Bhuiyan, M.S.H.; Choudhury, Imtiaz Ahmed

doi:10.1080/10910344.2015.1018531

Cited by 33 publications

(13 citation statements)

References 27 publications

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“…Many of experiments has been carried out to correlate tool wear and the vibration signal produced. The results does show the tool wear are sensitive to the vibration signature features extracted from the time and frequency domain [5][6][7]. In prevoius study, the main purpose of vibration analysis is to identify the features indicative of tool wear.…”

Section: Introductionmentioning

confidence: 96%

Condition monitoring of the uncoated carbide cutting tool in turning process of the aluminum alloy 6061 via vibration

Inayatullah

Sinnasamy²

2017

PEN

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This study have been conducted in an attempt to monitor the changing of tool wear caused by increasing the cutting speed, depth of cut and feed rate. The signal processing analysis was done on the raw signal, the vibration signal then which is analyses by using MATLAB software. The relationship among several parameter of vibration signal, such as energy and maximum amplitude with cutting speed and depth of cut was studied. The material machined was Aluminum Alloy 6061 and uncoated carbide as a cutting tool. At the same time, the cutting temperature was also monitored. The results show that vibration signal can be one of the method to monitor tool wear in turning process via in-situ and therefore can be obtained useful for establishing the end of tool life in these operation. Based on the results the suitable speed and depth of cut range was identified to maximize the tool life

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Section: Introductionmentioning

confidence: 96%

Condition monitoring of the uncoated carbide cutting tool in turning process of the aluminum alloy 6061 via vibration

Inayatullah

Sinnasamy²

2017

PEN

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“…The much of the time utilized coatings incorporate TiN, TiAlN, TiCN, TiAlCN Al2O3 [9][10][11][12][13]. The performance of cutting tool with and without coatings in terms of cutting force [3][4], surface roughness [9][10][11][12][13], chip morphology [15] and acoustic emission [16] with various grades of the cutting tools is studied by different researchers and in-depth review related process parameter is reported by Ambhore et al [17].…”

Section: Introductionmentioning

confidence: 99%

“…The breaking of a complex signal into various sinusoidal components is achieved by transforming signals from time domain to frequency using Fast Fourier Transform analyzer [15]. Other techniques such as root mean square (RMS) [15], support vector machine [16], singular ABSTRACT -The machined surface quality and dimensional accuracy obtained during hard turning is prominently gets affected due to tool wear and cutting tool vibrations. With this view, the results of tool wear progression on surface quality and acceleration amplitude is presented while machining AISI 52100 hard steel.…”

Section: Introductionmentioning

confidence: 99%

Analysis of tool vibration and surface roughness with tool wear progression in hard turning: An experimental and statistical approach

Ambhore¹,

Kamble²,

Chinchanikar³

2020

JMES

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The machined surface quality and dimensional accuracy obtained during hard turning is prominently gets affected due to tool wear and cutting tool vibrations. With this view, the results of tool wear progression on surface quality and acceleration amplitude is presented while machining AISI 52100 hard steel. Central Composite Rotatable Design (CCRD) is employed to develop experimental plan. The results reported that vibration signals sensed in a tangential direction (Vz) are most sensitive and found higher than the vibrations in the feed direction (Vx) and depth of cut direction (Vy). The acceleration signals in all three directions are observed to increase with the advancement of tool wear and good surface finish is observed as tool wear progresses up-to 0.136mm. The vibration amplitude is discovered high in the range 3 kHz – 10 kHz within selected cutting parameter range (cutting speed 60-180mm/min, feed 0.1-0.5mm/rev, depth of cut 0.1-0.5mm). The investigation is extended for the development of multiple regression models with regression coefficients value 0.9. These models found statically significant and give dependable estimates between a tool vibrations and cutting parameters.

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“…Bhuiyan et al [7] experimentally investigated chip formation, tool wear and surface roughness under different cutting conditions using vibration signature during turning of ASSAB-705 steel. The results of their study revealed that vibration components can effectively respond to the different occurrences in turning including tool wear and surface roughness.…”

Section: Introductionmentioning

confidence: 99%

Prediction of cutting tool vibration and surface roughness in hard turning of AISI52100 steel

Ambhore

Kamble²,

Chinchanikar³

2018

MATEC Web Conf.

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The changing behavior of vibration signals with varying cutting parameters (cutting speed, feed rate and depth of cut) for turning hardened AISI52100 steel has been studied and reported. The vibration response of cutting tool in all three mutually perpendicular directions, namely, in feed Vx, radial Vy and, tangential Vz directions have been captured by mounting piezoelectric tri-axial accelerometer close to the cutting tool. Experiments are planned and conducted as per Central composite rotatable design of Surface response methodology. The second order multiple regression models are developed to correlate cutting parameters with vibration acceleration and surface roughness. The coefficient of regression R2 for all models is found close to 0.92 which shows that the developed models are reliable and provide an excellent explanation between the cutting parameter and the vibration of cutting tool within limits. The analysis of the results revealed that cutting conditions are having prominent and mixed type effect on vibration signals. The acceleration amplitude Vx, Vy and Vz increases with increase in cutting speed, and depth of cut. The vibration amplitude Vx, Vy and Vz initially increases as feed increases and, with further increase in feed, the vibration amplitude decreases. The surface roughness is highly influenced by the feed rate followed by cutting speed whereas the depth of cut was found less significant. The fluctuation in frequency is observed in all directions. However, the band of frequency remains within a certain range. Within selected cutting parameter range, the maximum acceleration amplitude is observed in frequency band of 4 kHz - 16 kHz.

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Investigation of Tool Wear and Surface Finish by Analyzing Vibration Signals in TurningAssab-705Steel

Cited by 33 publications

References 27 publications

Condition monitoring of the uncoated carbide cutting tool in turning process of the aluminum alloy 6061 via vibration

Condition monitoring of the uncoated carbide cutting tool in turning process of the aluminum alloy 6061 via vibration

Analysis of tool vibration and surface roughness with tool wear progression in hard turning: An experimental and statistical approach

Prediction of cutting tool vibration and surface roughness in hard turning of AISI52100 steel

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