Monitoring online cutting tool wear using low-cost technique and user-friendly GUI

Ghani, Jaharah A; Rizal, Muhammad; Nuawi, Mohd. Zaki; Ghazali, Mariyam Jameelah; Haron, Che Hassan Che

doi:10.1016/j.wear.2011.01.038

Cited by 79 publications

(36 citation statements)

References 21 publications

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“…Three feature parameters of rake face were obtained by the calculation method in reference [23]. After precise positioning the flank wear boundary, the image was divided into B zone, N zone and C zone, the seven eigenvalues were measured using the microscope [24]. The feature extraction and feature measurement tool's image is shown in Figure 12.…”

Section: Figure 5 Measurement Set Mounted On the Htc2550hsmentioning

confidence: 99%

Monitoring Method of High-speed Tool Wear Level based on Machine Vision

Yang¹,

Liu²,

Peng³

et al. 2017

IJSIP

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Section: Figure 5 Measurement Set Mounted On the Htc2550hsmentioning

confidence: 99%

Monitoring Method of High-speed Tool Wear Level based on Machine Vision

Yang¹,

Liu²,

Peng³

et al. 2017

IJSIP

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“…These disturbances can be compensated in part, for instance by employing temperature compensation and a compensation of tool wear by respective measurements or predictions [4][5][6][7][8][9][10]. However, in order to guarantee deviations from the desired shape below 1 μm, shape measurements are still required.…”

Section: State-of-the-artmentioning

confidence: 99%

Optical, in situ, three-dimensional, absolute shape measurements in CNC metal working lathes

Kuschmierz

Davids

Metschke

et al. 2016

Int J Adv Manuf Technol

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Temperature drifts, tool deterioration, unknown vibrations, as well as spindle play are major effects which decrease the achievable precision of CNC lathes and lead to shape deviations of the processed workpieces. Since currently no measurement system exists for precise, in situ, 3D shape monitoring, much effort is required to simulate and compensate these effects. In this article, we propose an optical measurement principle for first part quality manufacturing. The absolute shape, meaning the diameter and surface profile, of the workpiece is determined from its tangential velocity and the surface distance. In order to allow keyhole access, both measurands are determined simultaneously with a single sensor. Measurements inside a metal working lathe show that the standard uncertainty for the absolute shape measurement is below 1 μm. The measurement uncertainty is nearly independent of the lateral surface velocity and roughness. The in situ measurements are compared to measurements with a tactile coordinate measurement machine for reference.

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“…Moreover, wet cutting machining conditions is also not recommended for this method. Indirect method uses various type of signals from the sensors used or installed such as temperature, vibrations, cutting forces, acoustic emission, current in electric motor, sound and other measurable elements [5]. In indirect method, common signal feature (SF) such as standard deviation, kurtosis, variance, maximum amplitude, average, I-kaz TM and etc.…”

Section: Introductionmentioning

confidence: 99%

Vibration–Based online Tool Wear Monitoring Using Piezo Film Sensor Analyzed by I-kaz Multilevel Signal Feature

Karim

Hussin

Yasir

et al. 2019

IJEAT

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Abstract: Wear in cutting tool is a normal phenomenon in machining process. Problems such as dimensional precision, surface finish quality and defect cost is due to the wear. The wear also can cause unexpected stop time and lower down the manufacturing productivity. Therefore, a system to monitor the progression of the tool wear is needed to predict the wear status and stop machining operation once the wear reach the allowed limit. In this study, Vibration signal and wear measurement were recorded for each run in the experiment. The experiment were stopped once the wear reach approximately 0.3mm. I-kaz multilevel signal features were extracted from the vibration signal recorded and then correlated with the flank wear status. There is a solid or substantial correlation between the cutting tool wear condition and I-kaz multilevel coefficient value, with average of 0.87 for I-kaz x coefficient (tangential direction) and 0.910 for I-kaz z coefficient (feed direction). This affirm that I-kaz multilevel signal feature can be assigned as the input criterion for the tool condition monitoring system that can estimate the current status of the flank wear on the cutting tools which can prevent defect in the machining process. the monitoring system was designed by utilizing 2 units of piezoelectric film sensors which are capable of detecting and analyzing signals related to tool holder vibration during the machining process in both feed and tangential axes. The sensors were stacked on x axis and z axis surfaces of the tool holder and signals were channeled to a charge amplifier and then to the digital data acquisition equipment which then display the vibration signal in time domain on the computer screen. A total of 8 experiments were carried out using CNC turning machine.

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Monitoring online cutting tool wear using low-cost technique and user-friendly GUI

Cited by 79 publications

References 21 publications

Monitoring Method of High-speed Tool Wear Level based on Machine Vision

Monitoring Method of High-speed Tool Wear Level based on Machine Vision

Optical, in situ, three-dimensional, absolute shape measurements in CNC metal working lathes

Vibration–Based online Tool Wear Monitoring Using Piezo Film Sensor Analyzed by I-kaz Multilevel Signal Feature

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