Research Article
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Investigation of Effect of Machining Process Paramaeters on Surface Quality

Year 2023, Volume: 27 Issue: 6, 1300 - 1310, 18.12.2023
https://doi.org/10.16984/saufenbilder.1308329

Abstract

Machining method is the most commonly used manufacturing method in the industry. The product, which is chipped on the raw material with the help of a cutting tool, is finalized. The manufactured product must be within the dimensional and geometric tolerances determined by the designer in order to discharge its functionality. In addition to these tolerances, surface quality is expected. In this study, the effect of the process parameters on the surface quality of the milling operation, which is the most commonly used machining method, was investigated as experimentally. Experimental design was carried out by using Taguchi L18 orthogonal array and the effect of four process parameters on the surface quality was investigated. ANOVA was carried out in order to investigate the effect of process parameters on experiment results and their statistical significance. The validity of experimental model was investigated by comparing the actual experimental results with the estimated results obtained by Minitab 19. According to Taguchi results; conventional cutting direction, 282 m/min. cutting speed, 0.15 mm/rev. feed rate and 0.5 mm cutting depth were found optimum levels of parameters. P value was found 0.00014 in ANOVA for feed rate parameter and it was found the most important parameter on the experiment results. R2 of experiment model was found % 91.4 according to comparison result.

References

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  • [15] S. Debnath, M. M. Reddy, Q. S. Yi ‘‘Influence of cutting fluid conditions and cutting parameters on surface roughness and tool wear in turning process using Taguchi method’’ Measurement, vol. 78, pp. 111-119, 2015.
  • [16] M. Kuntoğlu ‘‘Surface roughness evaluation in milling of Strenx 1100 steel under MQL conditions’’ European Journal of Science and Technology, no. 25, pp. 509-516, 2021.
  • [17] E. Nas, N. A. Özbek ‘‘Optimization the Machining Parameters in Turning of Hardened Hot Work Tool Steel Using Cryogenically Treated Tools’’ Surface Review and Letters vol. 27, no. 5, pp. 1950177, 2020.
  • [18] M. H. Cetin, B. Özçelik, E. Kuram, E. Demirbas ‘‘Evaluation of vegetable based cutting fluids with extreme pressure and cutting parameters in turning of AISI 304L by Taguchi method’’ Journal of Cleaner Production, vol. 19, no. 17-18, pp. 2049-2056, 2011.
  • [19] F. Kara ‘‘Taguchi optimization of surface roughness and flank wear during the turning of DIN 1.2344 tool steel’’ Materials Testing, vol. 59, pp. 903-908, 2017.
  • [20] M. Akgün, F. Kara ‘‘Analysis and optimization of coating tool coating effects on surface roughness and cutting forces on turning of AA 6061 alloy’’ Advances in Materials Science and Engineering, vol. 2021, pp. 1-12, 2021.
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Year 2023, Volume: 27 Issue: 6, 1300 - 1310, 18.12.2023
https://doi.org/10.16984/saufenbilder.1308329

Abstract

References

  • [1] S. M. Hussain, D. Tiwari ‘‘Determining the effects of cutting parameters in CNC turning’’ International Research Journal on Engineering and Technology, vol. 07, no. 02, pp. 468-478, 2020.
  • [2] A. Eser, E.A. Ayyıldız, M. Ayyıldız, F. Kara ‘‘Artificial intelligence-based surface roughness estimation modelling for milling of AA6061 alloy’’ Advances in Materials Science and Engineering, vol. 2021, no. 02, 2021.
  • [3] Dıjkkamp Gıetwerk Op Maat. Characteristics of GG25 [Online] Available: https://www.dijkkamp.nl/en/materials/g g25-en-gjl-250/
  • [4] Matweb United cast bar unibar 250 continuously cast iron [Online] Available: https://www.matweb.com/search/datas heet.aspx?matguid=e9567779213346e2 8649f59333549e48&ckck=1
  • [5] Makinate Machine Tools & Packaging Used Doosan Ace HP5500 Horizontal Machining Center [Online] Available: https://makinate.com/doosan-ace-hp5500-m2205628730/
  • [6] Walter Face milling cutters F4048 [Online] Available:https://www.toolsunited.com /App/EN/Article/ArticleDetailsPage/24 696400130640527
  • [7] Toolbox F4048.B27.063.Z06.10 Face milling cutters [Online] Available: https://toolbox.sk/en/milling-toolswith-indexable-inserts/33373-walter f4048-b27-063-z06-10- 0738308724.html
  • [8] Walter Shoulder milling cutters F5141 [Online] Available: https://www.toolsunited.com/App/EN/ Article/ArticleDetailsPage/2469640013 064017
  • [9] Toolbox F5141.B22.050.Z06.12 Shoulder milling cutters [Online] Available: https://toolbox.sk/en/milling-toolswith-indexable-inserts/30688-walterf5141-b22-050-z06-12- 0654997724.html
  • [10] Walter Negative square SNMX [Online] Available:https://www.toolsunited.com /App/EN/Article/ArticleDetailsPage/24 696400130995513
  • [11] Walter SNMX 120520-D27 WKK25S [Online] Available:https://www.waltertools.com/trtr/search/pages/default.aspx/product/sn mx120520-d27%20wkk25s
  • [12] Walter Tangential rhombic LNHU [Online] Available:https://www.toolsunited.com /App/EN/Article/ArticleDetailsPage/24 696400130993789
  • [13] Walter LNHU 130608R-L55T WKK25S [Online] Available:https://www.waltertools.com/trtr/search/pages/default.aspx/product /lnhu130608r-l55t%20wkk25s
  • [14] N. Özsoy ‘‘Experimental investigation surface roughness of cutting parameters in T6 aluminum alloy milling process’’ International Journal of Computational and Experimental Science and Engineering, vol. 5, no. 3, pp. 105-111, 2019.
  • [15] S. Debnath, M. M. Reddy, Q. S. Yi ‘‘Influence of cutting fluid conditions and cutting parameters on surface roughness and tool wear in turning process using Taguchi method’’ Measurement, vol. 78, pp. 111-119, 2015.
  • [16] M. Kuntoğlu ‘‘Surface roughness evaluation in milling of Strenx 1100 steel under MQL conditions’’ European Journal of Science and Technology, no. 25, pp. 509-516, 2021.
  • [17] E. Nas, N. A. Özbek ‘‘Optimization the Machining Parameters in Turning of Hardened Hot Work Tool Steel Using Cryogenically Treated Tools’’ Surface Review and Letters vol. 27, no. 5, pp. 1950177, 2020.
  • [18] M. H. Cetin, B. Özçelik, E. Kuram, E. Demirbas ‘‘Evaluation of vegetable based cutting fluids with extreme pressure and cutting parameters in turning of AISI 304L by Taguchi method’’ Journal of Cleaner Production, vol. 19, no. 17-18, pp. 2049-2056, 2011.
  • [19] F. Kara ‘‘Taguchi optimization of surface roughness and flank wear during the turning of DIN 1.2344 tool steel’’ Materials Testing, vol. 59, pp. 903-908, 2017.
  • [20] M. Akgün, F. Kara ‘‘Analysis and optimization of coating tool coating effects on surface roughness and cutting forces on turning of AA 6061 alloy’’ Advances in Materials Science and Engineering, vol. 2021, pp. 1-12, 2021.
  • [21] Sandvik Coromant Dry milling or with cutting fluid [Online] Available: https://www.sandvik.coromant.com/enus/knowledge/milling/dry-milling-orwith-cutting-fluid

Details

Primary Language English
Subjects Mechanical Engineering
Journal Section Research Articles
Authors

Mehmet Şafak BARAN 0009-0001-0553-2482

Osman Hamdi METE 0000-0002-9971-1819

Early Pub Date December 1, 2023
Publication Date December 18, 2023
Submission Date June 1, 2023
Acceptance Date September 25, 2023
Published in Issue Year 2023 Volume: 27 Issue: 6

Cite

APA BARAN, M. Ş., & METE, O. H. (2023). Investigation of Effect of Machining Process Paramaeters on Surface Quality. Sakarya University Journal of Science, 27(6), 1300-1310. https://doi.org/10.16984/saufenbilder.1308329
AMA BARAN MŞ, METE OH. Investigation of Effect of Machining Process Paramaeters on Surface Quality. SAUJS. December 2023;27(6):1300-1310. doi:10.16984/saufenbilder.1308329
Chicago BARAN, Mehmet Şafak, and Osman Hamdi METE. “Investigation of Effect of Machining Process Paramaeters on Surface Quality”. Sakarya University Journal of Science 27, no. 6 (December 2023): 1300-1310. https://doi.org/10.16984/saufenbilder.1308329.
EndNote BARAN MŞ, METE OH (December 1, 2023) Investigation of Effect of Machining Process Paramaeters on Surface Quality. Sakarya University Journal of Science 27 6 1300–1310.
IEEE M. Ş. BARAN and O. H. METE, “Investigation of Effect of Machining Process Paramaeters on Surface Quality”, SAUJS, vol. 27, no. 6, pp. 1300–1310, 2023, doi: 10.16984/saufenbilder.1308329.
ISNAD BARAN, Mehmet Şafak - METE, Osman Hamdi. “Investigation of Effect of Machining Process Paramaeters on Surface Quality”. Sakarya University Journal of Science 27/6 (December 2023), 1300-1310. https://doi.org/10.16984/saufenbilder.1308329.
JAMA BARAN MŞ, METE OH. Investigation of Effect of Machining Process Paramaeters on Surface Quality. SAUJS. 2023;27:1300–1310.
MLA BARAN, Mehmet Şafak and Osman Hamdi METE. “Investigation of Effect of Machining Process Paramaeters on Surface Quality”. Sakarya University Journal of Science, vol. 27, no. 6, 2023, pp. 1300-1, doi:10.16984/saufenbilder.1308329.
Vancouver BARAN MŞ, METE OH. Investigation of Effect of Machining Process Paramaeters on Surface Quality. SAUJS. 2023;27(6):1300-1.

Sakarya University Journal of Science (SAUJS)