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 12 publications

(22 citation statements)

References 28 publications

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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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Analysis, modelling, and optimization of force in ultra-precision hard turning of cold work hardened steel using the CBN tool

Elly,

Adizue,

Tura

et al. 2024

J Braz. Soc. Mech. Sci. Eng.

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The machinability of high-performance materials such as superalloys, composites, and hardened steel has been a big challenge due to their mechanical, physical, and chemical properties, which give them inherent complex machining characteristics. Additionally, majority of machinability tests conducted on these materials have been carried out on conventional and less precise lathes based on Taguchi, composite, and other designs of experiments that do not exploit all the possible combinations of cutting parameters. This work reports an investigation on ultra-precision hard turning (UHT) of cold work hardened AISI D2 steel of HRC 62, based on the full factorial design of experiment, carried out on an ultra-precision lathe. A theoretical analysis of the force components generated is reported. Modelling of the process, based on the resultant force, is also reported through a machine learning model. The model was developed from the experimental data and statistically evaluated with validation data. Its average MAPE values of 1.47%, 4.81%, and 10.66% for training, testing, and validation, respectively, attest to its robustness. The excellent coefficient of determination values, R2, also justify the model’s robustness. Multi-objective optimization was also conducted to optimize material removal rate (MRR), resultant force, and vibration simultaneously. For sustainable and efficient UHT, optimal cutting velocity (158.8 m/min), feed (0.125 mm/rev), and depth of cut (0.074 mm) were proposed to generate optimal resultant force (224.8 N), MRR (2603.6 mm3/min), and vibration (0.03 m/s^2) simultaneously. These results can be beneficial in planning UHT processes for high-performance materials.

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

Cited by 12 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

Analysis, modelling, and optimization of force in ultra-precision hard turning of cold work hardened steel using the CBN tool

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