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INVESTIGATION of the CORRELATION BETWEEN POWER CONSUMPTION and SURFACE ROUGHNESS in the TURNING of HARDENED DIN 1.2367 STEEL

Year 2022, Issue: 050, 291 - 309, 30.09.2022

Abstract

Increasing demands in the industrial sector have also increased costs. The share of electricity costs is quite high in these cost increases. Therefore, electricity expenses have become an important phenomenon in the manufacturing sector. On the other hand, brought efficiency to the fore increasing costs in the manufacturing sector. It is tried to give data that will contribute to productivity in manufacturing sectors with this research. The influences of cutting parameters that these are depth of cut, feed rate, and speed of cutting were examined on roughness of surface, power consumption and current of machine through turning of DIN 1.2367 steel using cutting tools are made of coated carbide under dry test case in this study. This study attempts to develop prediction and optimization models to analyze the effect of turning parameters on roughness of surface, power consumption, and ultimately roughness of surface and simultaneous consumption of power. The values of total power consumption were calculated by time of machining and instantaneous current values in the study.
The study results indicated that feed rate has the most important influence on output parameters. The value of surface roughness raised with increasing values of feed rate (56.86 % feed rate). It has been examined that grinding quality surface is obtained, especially at low feed values. The power consumption value increases with rising cutting speed and cut of depth (38.50 % cutting depth) values. Also, the rising in the depth of cut values is effective in the increase in power consumption values.

Thanks

The Test Devices in Kastamonu University Central Research Laboratory Application and Research Center were used in the experimental studies in this study.

References

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  • [15] Yusup, N., Mohd, A., Zaiton, S., Hashim, M., (2012), Expert Systems with Applications Evolutionary techniques in optimizing machining parameters: Review and recent applications (2007 – 2011). Expert Syst. Appl. 39, 9909–9927.
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  • [17] Fang, K., Uhan, N., Zhao, F., Sutherland, J.W., (2011), A new approach to scheduling in manufacturing for power consumption and carbon footprint reduction. J. Manuf. Syst. 30, 234–240.
  • [18] Newman, S.T., Nassehi, A., Imani-Asrai, R., Dhokia, V., (2012), Energy efficient process planning for CNC machining. CIRP J. Manuf. Sci. Technol. 5, 127–136.
  • [19] Anonymous a, Stherm 2367 Steel, Designation by Standards, https://steelselector.sij.si/steels/UTOPMO7.html, (Last Access Date: 27/05/2020).
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  • [21] Şahinoğlu, A., Rafighi, M., (2020), Investigation of Vibration, Sound Intensity, Machine Current and Surface Roughness Values of AISI 4140 During Machining on the Lathe. Arab J Sci Eng 45, 765–778
  • [22] Cetin, M.H., Ozcelik, B., Kuram, E., Demirbas, E., (2011), Evaluation of vegetable based cutting fluids with extreme pressure and cutting parameters in turning of AISI 304L by Taguchi method. J. Clean. Prod. 19, 2049–2056.
  • [23] Cakir, A.K., (2021), Analysis of Surface Roughness, Sound Level and Machine Current in the Turning of Hardened AISI S1 Steel. Trans Indian Inst Met (2021). https://doi.org/10.1007/s12666-021-02196-8, 2021.
Year 2022, Issue: 050, 291 - 309, 30.09.2022

Abstract

References

  • [1] Yallese, M. A., Chaoui, K., Zeghib, N., Boulanouar, L. and Rigal, J. F.,(2008), Hard machining of hardened bearing steel using cubic boron nitride tool. J. Mater. Process. Technol(2009).doi:10.1016/j.jmatprotec. 03.014.
  • [2] Asiltürk, I. & Akkuş, H., (2011), Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method. Meas. J. Int. Meas. Confed. doi:10.1016/j.measurement.2011.07.003
  • [3] Günay, M., Korkmaz, M. E. & Yaşar, N., (2017), Finite element modeling of tool stresses on ceramic tools in hard turning. Mechanika doi:10.5755/j01.mech.23.3.14363
  • [4] Sharma, V. S., Dhiman, S., Sehgal, R. and Sharma, S. K.(2008), Estimation of cutting forces and surface roughness for hard turning using neural networks. J. Intell. Manuf. doi:10.1007/s10845-008-0097-1
  • [5] Chou, Y. K., Evans, C. J. & Barash, M. M. (2003), Experimental investigation on cubic boron nitride turning of hardened AISI 52100 steel. J. Mater. Process. Technoldoi:10.1016/S0924-0136(02)00070-5.
  • [6] Yan, J., Li, L., (2013), Multi-objective optimization of milling parameters e the trade-offs between energy , production rate and cutting quality. J. Clean. Prod. 52, 462–471.
  • [7] Aggarwal, A., Singh, H., Kumar, P., Singh, M., (2008), Optimizing power consumption for CNC turned parts using response surface methodology and Taguchi’s technique—A comparative analysis. J. Mater. Process. Technol. 200, 373–384.
  • [8] Bhattacharya, A., Das, S., Majumder, P.,(2009), Estimating the effect of cutting parameters on surface finish and power consumption during high speed machining of AISI 1045 steel using Taguchi design and ANOVA. Prod. Eng. Res. Devel. 3, 31–40 DOI:10.1007/s11740-008-0132-2.
  • [9] Bhushan, R.K.,(2013), Optimization of cutting parameters for minimizing power consumption and maximizing tool life during machining of Al alloy SiC particle composites. J. Clean. Prod.39, 242–254.
  • [10] Chudy, R., Grzesik, W., (2015), Comparıson of Power and Energy Consumptıon for Hard Turnıng and Burnıshıng Operatıons Of 41cr4 Steel. Journal of Machine Engineering, Vol. 15, No. 4, 2015.
  • [11] Fratila, D., Caizar, C., (2011), Application of Taguchi method to selection of optimal lubrication and cutting conditions in face milling of AlMg 3. J. Clean. Prod. 19, 640–645.
  • [12] Hanafi, I., Khamlichi, A., Cabrera, F.M., Almansa, E., Jabbouri, A., (2012), Optimization of cutting conditions for sustainable machining of PEEK-CF30 using TiN tools. J. Clean. Prod. 33, 1–9.
  • [13] Abhang, L.B., Hameedullah, M., (2010), Power prediction model for turning EN-31 steel Using response surface methodology. J. Eng. Sci. Technol. Rev. 3, 116–122.
  • [14] Camposeco Negrete, C., (2013), Optimization of cutting parameters for minimizing energy consumption in turning of AISI 6061 T6 using Taguchi methodology and ANOVA. J. Clean. Prod. 53, 195–203.
  • [15] Yusup, N., Mohd, A., Zaiton, S., Hashim, M., (2012), Expert Systems with Applications Evolutionary techniques in optimizing machining parameters: Review and recent applications (2007 – 2011). Expert Syst. Appl. 39, 9909–9927.
  • [16] Aggarwal, A., Singh, H., Kumar, P., Singh, M., (2008) Optimizing power consumption for CNC turned parts using response surface methodology and Taguchi’s technique—A comparative analysis. J. Mater. Process. Technol. 200, 373–384.
  • [17] Fang, K., Uhan, N., Zhao, F., Sutherland, J.W., (2011), A new approach to scheduling in manufacturing for power consumption and carbon footprint reduction. J. Manuf. Syst. 30, 234–240.
  • [18] Newman, S.T., Nassehi, A., Imani-Asrai, R., Dhokia, V., (2012), Energy efficient process planning for CNC machining. CIRP J. Manuf. Sci. Technol. 5, 127–136.
  • [19] Anonymous a, Stherm 2367 Steel, Designation by Standards, https://steelselector.sij.si/steels/UTOPMO7.html, (Last Access Date: 27/05/2020).
  • [20] Anonymous b, “Item Designation: DCMT 11T308 Tool”, https://www.iscar.com/eCatalog/item.aspx?cat=5568588&fnum=739&mapp=IS&app=31&GFSTYP=M, (Last Access Date:25/05/2020).
  • [21] Şahinoğlu, A., Rafighi, M., (2020), Investigation of Vibration, Sound Intensity, Machine Current and Surface Roughness Values of AISI 4140 During Machining on the Lathe. Arab J Sci Eng 45, 765–778
  • [22] Cetin, M.H., Ozcelik, B., Kuram, E., Demirbas, E., (2011), Evaluation of vegetable based cutting fluids with extreme pressure and cutting parameters in turning of AISI 304L by Taguchi method. J. Clean. Prod. 19, 2049–2056.
  • [23] Cakir, A.K., (2021), Analysis of Surface Roughness, Sound Level and Machine Current in the Turning of Hardened AISI S1 Steel. Trans Indian Inst Met (2021). https://doi.org/10.1007/s12666-021-02196-8, 2021.
There are 23 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

Ali Kemal Cakır 0000-0002-2185-8108

Publication Date September 30, 2022
Submission Date May 28, 2022
Published in Issue Year 2022 Issue: 050

Cite

IEEE A. K. Cakır, “INVESTIGATION of the CORRELATION BETWEEN POWER CONSUMPTION and SURFACE ROUGHNESS in the TURNING of HARDENED DIN 1.2367 STEEL”, JSR-A, no. 050, pp. 291–309, September 2022.