Determination of Ideal Cutting Conditions for Maximum Surface Quality and Minimum Power Consumption During Hard Turning of AISI 4140 Steel Using TOPSIS Method Based on Fuzzy Distance

Karaaslan, Faruk; Şahinoğlu, Abidin

doi:10.1007/s13369-020-04635-y

Cited by 23 publications

(7 citation statements)

References 30 publications

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“…In terms of hard turning, researchers have worked on different workpieces with different tools, defined various parameters, and sought solutions to optimize surface quality [6,7]. e effort to improve surface quality has helped to maximize environmental protection and saved money, energy, and time.…”

Section: Introductionmentioning

confidence: 99%

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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Section: Introductionmentioning

confidence: 99%

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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“…Artan ilerleme hızı ile yüzey pürüzlülüğü değerinin arttığı bir başka çalışma da Karaaslan ve Şahinoğlu'na aittir. Elde edilen deneysel sonuçlara göre ilerleme hızı arttıkça ses şiddetinin de arttığı, artan ilerleme hızı, kesme derinliği ve kesme hızı ile işleme süresinin kısaldığı ve böylece toplam güç tüketiminin azaltılacağına vurgu yapılmıştır [12]. İynen ve diğerleri, ilerleme hızının radyal kuvvet ve teğetsel kuvvet üzerinde etkili olduğunu, kesme derinliğinin ise ilerleme kuvvetinde etkili olduğuna dikkat çekmiştir [13].…”

Section: Discussionunclassified

Investigation of the Relationship Between Power Consumption and Noise Level During Hard Turning of CBN Tools and DIN 1.2367 Steel

Akkaş¹,

Yavuz²,

Şahinoğlu³

2021

Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım Ve Teknoloji

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Today, dry hard turning is widely used in the processing of hardened steel due to its advantages such as low cost, high machining efficiency and green environmental protection. In this study, hard turning tests were carried out under dry cutting conditions on hardened DIN 1.2367 (55 HRC) steel material. The effect of the cutting parameters (three different cutting speeds, three feed rates and three cutting depths) on the power consumption and sound level values was investigated.

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“…Determination of optimum values is very important in machining. 40 Determining the ideal CC provides many advantages. In this experimental study, optimum values are obtained at 0.2 mm a , 175 m/min v and 0.119 mm/rev f using coolant as shown in Supplementary Figure 11(a).…”

Section: Optimizationmentioning

confidence: 99%

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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Determination of Ideal Cutting Conditions for Maximum Surface Quality and Minimum Power Consumption During Hard Turning of AISI 4140 Steel Using TOPSIS Method Based on Fuzzy Distance

Cited by 23 publications

References 30 publications

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

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

Investigation of the Relationship Between Power Consumption and Noise Level During Hard Turning of CBN Tools and DIN 1.2367 Steel

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

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