ANALYSIS OF SURFACE ROUGHNESS, SOUND LEVEL, VIBRATION AND CURRENT WHEN MACHINING AISI 1040 STEEL

Abidin Şahinoğlu; Abdulkadir Güllü; İbrahim Çiftçi

ANALYSIS OF SURFACE ROUGHNESS, SOUND LEVEL, VIBRATION AND CURRENT WHEN MACHINING AISI 1040 STEEL

Abstract

AISI 1040 steel is widely used for production of various parts. This material has been studied by many researchers. In this work, turning tests were carried out on AISI 1040 steel workpieces at five different depth of cuts, four different feed rates and 4 different cutting speeds without coolant. The influence of the cutting parameters on turned part surface roughness, vibration, sound level and machine tool motor current were examined. A full factorial experimental design method was used. The Response Surface Methodology (RSM) and Analysis of Variance (ANOVA) were used to determine the effects of input parameters on the resultant surface roughness, vibration, sound level, current. The experimental results showed that increasing feed rate increased the surface roughness, vibration, sound level and current values. The most effective cutting parameter on all the output parameters was found to be the feed rate. Furthermore as feed rate and depth of cut increased, the current value and sound level also increased.

Keywords

References

[1] Murugappan, S., Arul, S. 2017. Effect of Cryogenic Pre cooling on Chip Reduction Co-efficient during Turning of EN8 Steel Rod. Materials today proceedig, 4,8848-8855.
[2] Sharma, A.K., Singh, R.K., Dixit, A.R., Tiwari, A.K. 2016. Characterization and experimental investigation of Al2O3 nanoparticle based cutting fluid in turning of AISI 1040 steel under minimum quantity lubrication (MQL). Materials Today: Proceeding, 3,1899-1906.
[3] Nizamuddin, M., Agrawal, S., Patil, N. 2018. The Effect of Karanja based Soluble Cutting Fluid on Chips Formation in Orthogonal Cutting Process of AISI 1045 Steel. Procedia Manufacturing, 20,12-17.
[4] Bedekar, V., Pauskar, P., Shivpuri, R., Howe, J. 2014. Microstructure and texture evolutions in AISI 1050 steel by flow forming. Procedia Engineering, 81,2355-2360.
[5] Khalil, A.N.M., Ali, M.A.M., Azmi, A.I. 2015. Effect of Al2O3 nanolubricant with SDBS on tool wear during turning process of AISI 1050 with minimal quantity lubricant. Procedia Manufacturing, 2,130-134.
[6] Klocke, F., Lortz, W., Trauth, D. 2018. Analysis of the dynamic chip formation process in turning. International Journal of Mechanical Sciences, 135,313-324.
[7] Moganapriya, C., Rajasekar, R., Ponappa, K., Venkatesh, R., Jerome, S. 2018. Influence of Coating Material and Cutting Parameters on Surface Roughness and Material Removal Rate in Turning Process Using Taguchi Method. Materials Today: Proceedings, 5,8532-8538.
[8] Hessainia, Z., Belbah, A., Yallese, M.A., Mabrouki, T., Rigal, J.F. 2013. On the prediction of surface roughness in the hard turning based on cutting parameters and tool vibrations, Measurement. 46,1671-1681.

[9] Yallese, M.A., Chaoui, K., Zeghib, N., Boulanouar, L., Rigal, J.F. 2009. Hard machining of hardened bearing steel using cubic boron nitride tool. Journal of materials processing technology, 209,1092-1104.
[10] Padmini, R., Krishna, P.V., Mohana, Rao, G. 2016. Effectiveness of vegetable oil based nanofluids as potential cutting fluids in turning AISI 1040 steel. Tribology International, 94,490-501.
[11] Krishna, P.V., Srikant, R.R., Rao, D.N. 2010. Experimental investigation on the performance of nanoboric acid suspensions in SAE-40 and coconut oil during turning of AISI 1040 steel. International Journal of Machine Tools and Manufacture, 50,911-916.
[12] Aouici, H., Yallese, M.A., Chaoui, K., Mabrouki, T., Rigal, J. 2012. Analysis of surface roughness and cutting force components in hard turning with CBN tool: Prediction model and cutting conditions optimization. Measurement, 45,344-353.
[13] Benga, G.C., Abrao, A.M. 2003. Turning of hardened 100Cr6 bearing steel with ceramic and PCBN cutting tools. Journal of Materials Processing Technology, 143,237-241.
[14] Quintana, G., Ciurana, J. 2011. Chatter in machining processes: A review. International Journal of Machine Tools and Manufacture, 51,363-376.
[15] Siddhpura, M., Paurabally, R. 2012. A review of chatter vibration research in turning. International Journal of Machine Tools and Manufacture, 61,27-47.
[16] Karabulut, Ş., Şahinoğlu, A. 2018. Effect of the cutting parameters on surface roughness, power consumption and machine noise in machining of R260 steel. Politeknik Dergisi, 21(1),237-244.
[17] Şahinoğlu, A., Karabulut, Ş., Güllü, A. 2017. Study on Spindle Vibration and Surface Finish in Turning of Al 7075. Solid State Phenomena, 261,321-327.
[18] Plaza, E., Lopez, P. 2018. Application of the wavelet packet transform to vibration signals for surface roughness monitoring in CNC turning operations. Mechanical Systems and Signal Processing, 98,902-919.
[19] Kishore, R., Choudhury, S., Orra, K. 2018. On-line control of machine tool vibration in turning operation using electro-magneto rheological damper. Journal of Manufacturing Processes, 31,187-198.
[20] Şahinoğlu, A., Gülllü, A., Dönertaş, M.A. 2017. GGG50 Malzemenin Torna Tezgâhında Farklı Kesme Parametrelerinde İşlenmesinde Titreşim, Ses Şiddetinin ve Yüzey Pürüzlülüğünün İncelenmesi. Sinop Üniversitesi Fen Bilimleri Dergisi, 2(1),67-79.
[21] Zhong, Q., Tang, R., Peng, T. 2017. Decision rules for energy consumption minimization during material removal process in turning. Journal of Cleaner Production, 140,1819-1827.
[22] Bagaber, S.A., Yusoff, A.R. 2017. Multi-objective optimization of cutting parameters to minimize power consumption in dry turning of stainless steel 316. Journal of Cleaner Production, 157,30-46.
[23] Salgado, D.R. , Alonso, F.J. 2007. An approach based on current and sound signals for in-process tool wear monitoring. International Journal of Machine Tools & Manufacture, 47,2140-2152.
[24] Zhou, L., Li, J., Li, F., Meng, Q., Li, J., Xu, X. 2016. Energy consumption model and energy efficiency of machine tools: a comprehensive literature review. Journal of Cleaner Production, 112,3721-3734.
[25] Bilga, P.S., Singh, S., Kumar, R. 2016. Optimization of energy consumption response parameters for turning operation using Taguchi method. Journal of Cleaner Production, 137,1406-1417.
[26] Pathak, A., Warghane, R., Deokar, S. 2018. Optimization of cutting parameters in Dry Turning of AISI A2 Tool Steel using Carbide Tool by Taguchi Based Fuzzy Logics. Materials Today Proceedings, 5,5082-5090.
[27] Bhushan, R.K. 2013. Optimization of cutting parameters for minimizing power consumption and maximizing tool life during machining of Al alloy SiC particle composites. Journal of Cleaner Production, 39,242-254.
[28] Chinchanikar, S., Choudhury, S.K. 2013. Effect of work material hardness and cutting parameters on performance of coated carbide tool when turning hardened steel: An optimization approach. Measurement, 46,1572-1584.
[29] Saini, S. , Ahuja, I.S., Sharma, V.S. 2012. Influence of cutting parameters on tool wear and surface roughness in hard turning of AISI H11 tool steel using ceramic tools. International Journal of Precision Engineering and Manufacturing, 13,1295-1302.
[30] Şeker, U., Kurt, A., Ciftci, I. 2002. Design and construction of a dynamometer for measurement of cutting forces during machining with linear motion. Materials & Design, 23,355-360.

Details

Primary Language

English

Subjects

-

Journal Section

Research Article

Authors

Abidin Şahinoğlu This is me
0000-0003-0040-442X
Türkiye

Abdulkadir Güllü This is me
0000-0003-1088-4105
Türkiye

İbrahim Çiftçi This is me
0000-0001-7875-6324
Türkiye

Publication Date

June 1, 2019

Submission Date

November 29, 2018

Acceptance Date

May 1, 2019

Published in Issue

Year 2019 Volume: 37 Number: 2

IZ

https://izlik.org/JA32NP69SL

Cite

RIS / Bibtex

APA

Şahinoğlu, A., Güllü, A., & Çiftçi, İ. (2019). ANALYSIS OF SURFACE ROUGHNESS, SOUND LEVEL, VIBRATION AND CURRENT WHEN MACHINING AISI 1040 STEEL. Sigma Journal of Engineering and Natural Sciences, 37(2), 423-437. https://izlik.org/JA32NP69SL

AMA

1.Şahinoğlu A, Güllü A, Çiftçi İ. ANALYSIS OF SURFACE ROUGHNESS, SOUND LEVEL, VIBRATION AND CURRENT WHEN MACHINING AISI 1040 STEEL. SIGMA. 2019;37(2):423-437. https://izlik.org/JA32NP69SL

Chicago

Şahinoğlu, Abidin, Abdulkadir Güllü, and İbrahim Çiftçi. 2019. “ANALYSIS OF SURFACE ROUGHNESS, SOUND LEVEL, VIBRATION AND CURRENT WHEN MACHINING AISI 1040 STEEL”. Sigma Journal of Engineering and Natural Sciences 37 (2): 423-37. https://izlik.org/JA32NP69SL.

EndNote

Şahinoğlu A, Güllü A, Çiftçi İ (June 1, 2019) ANALYSIS OF SURFACE ROUGHNESS, SOUND LEVEL, VIBRATION AND CURRENT WHEN MACHINING AISI 1040 STEEL. Sigma Journal of Engineering and Natural Sciences 37 2 423–437.

IEEE

[1]A. Şahinoğlu, A. Güllü, and İ. Çiftçi, “ANALYSIS OF SURFACE ROUGHNESS, SOUND LEVEL, VIBRATION AND CURRENT WHEN MACHINING AISI 1040 STEEL”, SIGMA, vol. 37, no. 2, pp. 423–437, June 2019, [Online]. Available: https://izlik.org/JA32NP69SL

ISNAD

Şahinoğlu, Abidin - Güllü, Abdulkadir - Çiftçi, İbrahim. “ANALYSIS OF SURFACE ROUGHNESS, SOUND LEVEL, VIBRATION AND CURRENT WHEN MACHINING AISI 1040 STEEL”. Sigma Journal of Engineering and Natural Sciences 37/2 (June 1, 2019): 423-437. https://izlik.org/JA32NP69SL.

JAMA

1.Şahinoğlu A, Güllü A, Çiftçi İ. ANALYSIS OF SURFACE ROUGHNESS, SOUND LEVEL, VIBRATION AND CURRENT WHEN MACHINING AISI 1040 STEEL. SIGMA. 2019;37:423–437.

MLA

Şahinoğlu, Abidin, et al. “ANALYSIS OF SURFACE ROUGHNESS, SOUND LEVEL, VIBRATION AND CURRENT WHEN MACHINING AISI 1040 STEEL”. Sigma Journal of Engineering and Natural Sciences, vol. 37, no. 2, June 2019, pp. 423-37, https://izlik.org/JA32NP69SL.

Vancouver

1.Abidin Şahinoğlu, Abdulkadir Güllü, İbrahim Çiftçi. ANALYSIS OF SURFACE ROUGHNESS, SOUND LEVEL, VIBRATION AND CURRENT WHEN MACHINING AISI 1040 STEEL. SIGMA [Internet]. 2019 Jun. 1;37(2):423-37. Available from: https://izlik.org/JA32NP69SL