Detecting tool breakage in turning aisi 1050 steel using coated and uncoated cutting tools

Çakır, Mustafa; Işık, Yahya

doi:10.1016/j.jmatprotec.2004.05.006

Cited by 38 publications

(8 citation statements)

References 18 publications

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“…A three-dimensional dynamometer, Kyowa TD-500, which had been utilized in a tool breakage system developed to detect cutting force variations [27], was employed to collect cutting force data. Flank wear width and surface roughness measurements were performed with a Nikon104 microscope and a Taylor Hobson Talysurf 10 profilometer (having a 0.8 mm cut-off length) respectively.…”

Section: Machinability Testsmentioning

confidence: 99%

Effects of microstructure on machinability of ductile iron

Çakır

Bayram

Kircali

et al. 2011

Proceedings of the Institution of Mechanical Engineers, Part B:

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In this paper, ductile irons with different microstructures were machined in a group of experiments using standard testing procedure and the effect of microstructure on the machinability was investigated. Bars (diameter 90mm × 320mm) of ferritic/pearlitic, tempered martensitic, and lower ausferritic microstructures were produced by various heat treatments and then tested to evaluate their machinability. Five groups of ductile iron specimens with various microstructures were tested following ISO 3685: 1993 (E) standard. Specimens were subjected to dry cutting; cutting force, flank wear width, and surface roughness were measured to compare the machining performances. In addition, further turning tests were conducted on the specimens of austempered microstructure at various feed rates (while keeping the cutting speed and depth of cut constant), and both surface roughness and cutting force values were recorded. The influence of feed rate on the machinability of austempered ductile iron was investigated and a correlation between feed rate and machinability, in terms of cutting force and surface roughness, was established. Not only the tangential cutting force component but also the feed force component was taken into consideration in these tests.

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Section: Machinability Testsmentioning

confidence: 99%

Effects of microstructure on machinability of ductile iron

Çakır

Bayram

Kircali

et al. 2011

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…From reference [17], since no exact and reliable mathematical models exist for the cutting process that are able to predict tool wear, tool breakage, cutting temperature, and forces, the development of tool condition monitoring systems are highly requested by industry, especially in recent years. The purpose of this research is to develop a tool condition monitoring and a real-time tool life detection system in turning processes.…”

Section: Other Methodsmentioning

confidence: 99%

The monitoring of the turning tool wear process using an artificial neural network. Part 1: The experimental set-up and experimental results

Bălan

Epureanu²

2008

Proceedings of the Institution of Mechanical Engineers, Part B:

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The study of machine tool dynamics is performed here as 'monitoring', which involves the checking and improving of machine functioning. A computer processes signals collected from certain sensors. These data then lead to the monitoring decision, which is to associate the current state of operation with one of the classes from a set of known classes. For monitoring in turning, the classes (tool conditions) are shown.The paper by Du, Elbestawi, and Wu (1995) represents the main source of inspiration for this paper, the present contribution being the improvement of the classes and of the monitoring indices. It is shown that the strains produced by F y can be neglected and only the main cutting force is measured by means of the tensometer system. To validate the recordings, couples of recordings having working parameters quite similar in value were selected; nonetheless, these couples belonged to different classes. It is observable that for the recordings whose cutting working conditions are similar, the average value of force F z increases as the cutting depth and wear increase.The experimental set-up and experimental results are presented.

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“…A handful of papers [20][21][22][23] have been found seeking the machining of AISI 1050 steel under a variety of cutting environments among the prominent journals, but no paper was about machining with different tool hardness in the past. Carvalho et al [20] presented a performance evaluation study for different cutting fluids considering different aspects of machinability in addition to cutting forces.…”

Section: Introductionmentioning

confidence: 99%

Influence of tool hardness on tool wear, surface roughness and acoustic emissions during turning of AISI 1050

Kuntoğlu

Gupta

Aslan

et al. 2022

Surf. Topogr.: Metrol. Prop.

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In this work, chemical vapor deposition (CVD) coated carbide inserts with different hardness of P types entitled as hard, semi-hard and tough are utilized for turning of AISI 1050 steel. Flank wear, surface roughness, cutting force, acoustic emissions and chips morphology were considered under dry turning conditions for the comparison of the effect of cutting speed, feed rate and cutting tool hardness. The novelty of the study is to investigate comprehensively the effect of tool hardness along with cutting parameters on the the machinability characteristics. This approach provides to understand the underlying mechanism of tool wear and its influence on the surface properties of the workpiece which is useful in practice for upgraded machinability. The results indicated that the tool hardness affects flank wear dramatically followed by surface roughness and acoustic emissions values and ideal values of cutting conditions are attained with semi-hard tool. Scanning electron microscope (SEM), energy dispersive spectrum (EDX) and mapping analysis also demonstrated the wear developments are distinctive with using different types of tool hardness values. The findings depicted that tool hardness has significant impact on machining characteristics which need to be dealed under particular cutting conditions. 65 HRC of cutting tool provides better machinability in terms of surface roughness, tool wear, acoustic emissions and cutting forces followed by 60 HRC and 70 HRC respectively.

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Detecting tool breakage in turning aisi 1050 steel using coated and uncoated cutting tools

Cited by 38 publications

References 18 publications

Effects of microstructure on machinability of ductile iron

Effects of microstructure on machinability of ductile iron

The monitoring of the turning tool wear process using an artificial neural network. Part 1: The experimental set-up and experimental results

Influence of tool hardness on tool wear, surface roughness and acoustic emissions during turning of AISI 1050

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