Machinability of Hardened AISI S1 Cold Work Tool Steel using Cubic Boron Nitride

Şahinoğlu, Abidin; Rafighi, Mohammad

doi:10.24200/sci.2021.55772.4398

Cited by 11 publications

(22 citation statements)

References 28 publications

(39 reference statements)

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“…Current and power consumption increase, as the f , v and a increase. Similar results for AISI H11 5,10 and AISI S1 steels 27 were found in other studies. As the f and a increase, the cutting forces increase.…”

Section: Resultssupporting

confidence: 91%

“…Similar results for AISI H11 5,10 and AISI S1 steels 27 were found in other studies. As the f and a increase, the cutting forces increase.…”

Section: Power Consumption and Energy Consumptionsupporting

confidence: 91%

“…Supplementary Table 4 shows the ANOVA result for the Ra. The most effective parameter on the Ra is 60.13% of the f. This is because the depth of the helical grooves on the surface is most affected by the f. Similarly, in studies with AISI H11 8,9,13 and other steels, 25,27,34,35 the most effective parameter was found to be the f. After the f, the cooling method is effective. The effect of the square of the cooling method is 18.37%.…”

Section: Relationship Between Machining Time Vibration Power Consumpt...mentioning

confidence: 86%

“…To determine the cutting parameters in the experimental study, the catalogue values of the cutting tool were examined. 27 According to the preliminary experiments, the preference for high depth of cut and feed rate in hard turning experiments causes negative results. High material removal amount causes tool breakage and poor surface finish.…”

Section: Methodsmentioning

confidence: 99%

See 3 more Smart Citations

Investigation of machinability properties of AISI H11 tool steel for sustainable manufacturing

Şahinoğlu

2022

Proceedings of the Institution of Mechanical Engineers, Part E:

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In this experimental study, vibration, energy consumption, power consumption and surface roughness values that occur in the machining of AISI H11 tool steel under CO2, coolant and dry cutting conditions were investigated. The effects of different cutting parameters and cooling systems on machinability were investigated. Analysis of variance was done. Regression equations were obtained. Relationships between power consumption, vibration and surface roughness are explained with mathematical equations. Finally, the optimum CC were determined by the multiple optimization methods. According to the test results, while the instantaneous power consumption increases by increasing cutting parameters, energy consumption decreases as the processing time is shortened. Vibration value increases by increasing cutting parameters. The highest vibration value occurs in cutting with CO2. Compared to dry and CO2 cutting, the vibration is lowest in coolant cutting. The friction decreases with the coolant and the vibration value decreases. There is a similar relationship between vibration and surface roughness value. The most effective parameter on the surface roughness value is the feed rate. It was seen that the most suitable CC for the most efficient cutting, the lowest energy consumption, vibration and surface roughness value, under coolant cutting, 0.2 mm depth of cut, 175 m/min cutting speed and 0.119 mm/rev feed rate. With optimum CC, the vibration value was reduced by 5.18%, the surface roughness value by 37.12%, energy consumption by 36.19% and the machine efficiency was increased by 7.16%.

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Section: Resultssupporting

confidence: 91%

“…Similar results for AISI H11 5,10 and AISI S1 steels 27 were found in other studies. As the f and a increase, the cutting forces increase.…”

Section: Power Consumption and Energy Consumptionsupporting

confidence: 91%

Section: Relationship Between Machining Time Vibration Power Consumpt...mentioning

confidence: 86%

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Investigation of machinability properties of AISI H11 tool steel for sustainable manufacturing

Şahinoğlu

2022

Proceedings of the Institution of Mechanical Engineers, Part E:

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“…[8][9][10] In addition, many research works mentioned the implementation of the CBN tool in the machining of the hard materials (above 45 HRC). [10][11][12][13] The consequence of cutting factors towards the surface finish of AISI 4340 grade steel was examined by Agrawal et al. 10 In this study, the optimal setting like depth of cut (0.1 mm), speed (1608 rpm), and feed (0.08 mm/rev) was obtained while optimal roughness was achieved as 0.502 μm.…”

Section: Introductionmentioning

confidence: 99%

An investigation on cutting sound effect on power consumption and surface roughness in CBN tool-assisted hard turning

Şahinoğlu

Rafighi

Kumar

2021

Proceedings of the Institution of Mechanical Engineers, Part E:

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In machining activities, sound emission is one of the key factors toward the operator's health and safety. Sound generation during cutting is the outcome of the interaction between tool and work. The intensity of sound greatly influences the cutting power consumption and surface finish obtained during machining. Therefore, the current work emphasized the analysis of sound emission, power consumption, and surface roughness in hard turning of AISI 4340 steel using a CBN tool which was rarely found in the literature. Response surface methodology (RSM) and artificial neural network (ANN) techniques were utilized to formulate the model for each response. The results indicated that the maximum value of input parameters exhibited the highest level of sound due to the creation of vibration in the machine and tool. Higher sound level indicates the generation of lower power consumption but at the same instant surface roughness was leading with increment in sound level. The feed rate exhibited the utmost noteworthy consequence on surface quality with 87.71% contribution. The cutting power can be decreased by choosing the high level of cutting parameters. The RSM and ANN have a good correlation with experimental data, but the accuracy of the ANN is better than the RSM.

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Statistical and Experimental Investigation of Hardened AISI H11 Steel in CNC Turning with Alternative Measurement Methods

Şahin

Esen

2021

Advances in Materials Science and Engineering

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In recent years, hard turning, an alternative to grinding, which provides low cost and good surface quality, has become an attractive method to the manufacturers. In this experimental study, AISI H11 hot work tool steel that has been hardened up to 50 HRC was subjected to hard turning tests with coated carbide tooling. The analyses were carried out by applying response surface methodology with the analysis of variance method. A total of 27 experiments were modeled utilizing 3 3 full factorial design and were carried out using a CNC lathe. The effects of the cutting parameters on surface roughness, energy consumption, electric current value, and sound intensity level were investigated. Optimum cutting parameters and levels were determined according to these optimum values. The relationship between cutting parameters and output variables was analyzed with two-dimensional and three-dimensional graphics. The results show that while the most effective parameter on the surface roughness was the feed rate (88.62%), the most effective parameter on the sound intensity level was the cutting speed (44.92%). In addition, the cutting depth was the most effective parameter on both electric current (52.20%) and energy consumption (46.15%). Finally, regression coefficients were determined as a mathematical model, and it was observed that this estimated model gave results that were very similar to those achieved with real experiment (correlation values: 97.64% for surface roughness, 98.72% for energy consumption, 97.22% for electric current value, and 91.38% for sound intensity level).

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Machinability of Hardened AISI S1 Cold Work Tool Steel using Cubic Boron Nitride

Cited by 11 publications

References 28 publications

Investigation of machinability properties of AISI H11 tool steel for sustainable manufacturing

Investigation of machinability properties of AISI H11 tool steel for sustainable manufacturing

An investigation on cutting sound effect on power consumption and surface roughness in CBN tool-assisted hard turning

Statistical and Experimental Investigation of Hardened AISI H11 Steel in CNC Turning with Alternative Measurement Methods

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