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Journals / Afyon Kocatepe Üniversitesi Fen ve Mühendislik Bilimleri Dergisi / 2016 / Cilt: 16 Sayı: 3

AISI 1040 Çeliğinin Tornalanmasında Yüzey Pürüzlülüğünün Çoklu Regresyon ile İncelenmesi

Harun Yaka
Levent Uğur
Harun Akkuş
Pages
770–775
Publication Date
2016-12-31
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Talaşlı imalattaki temel amaçlardan biri istenilen yüzey pürüzlülüğünü en iyi seviyeye getirmektir.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Talaşlı imalattaki temel amaçlardan biri istenilen yüzey pürüzlülüğünü en iyi seviyeye getirmektir.
📊
Key Findings & Data:Talaşlı imalattaki temel amaçlardan biri istenilen yüzey pürüzlülüğünü en iyi seviyeye getirmektir.
💡
Conclusion & Impact:Talaşlı imalattaki temel amaçlardan biri istenilen yüzey pürüzlülüğünü en iyi seviyeye getirmektir.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:AISI 1040 · Tornalama · Ortalama Yüzey pürüzlülüğü

Özet

Talaşlı imalattaki temel amaçlardan biri istenilen yüzey pürüzlülüğünü en iyi seviyeye getirmektir. Bu

🔖

Cite This Article

Yaka, H., Uğur, L., Akkuş, H. (2016). AISI 1040 Çeliğinin Tornalanmasında Yüzey Pürüzlülüğünün Çoklu Regresyon ile İncelenmesi. Afyon Kocatepe Üniversitesi Fen ve Mühendislik Bilimleri Dergisi, Cilt: 16 Sayı: 3, 770–775. https://ajindex.com/articles/1355138

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References (19)

  1. Elbestawi, M. A., Srivastava, A. K., ans El-Wardany, T. I., 1996. A model for chip formation during machining of hardened steel. CIRP Annals Manufacturing Technology, 45, 71-76.
  2. Klocke, F., Brinksmeier, E. and Weinert, K., 2005. Capability profile of hard cutting and grinding processes. CIRPAnnals-Manufacturing Technology, 54, 22-45.
  3. Bhattacharya, A., Das, S., Majumder, P. and Batish, A., 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. Production Engineering, 3, 31- 40.
  4. Palanikumar, K., Karunamoorthy, L. and Krathikeyan, R., 2006. Assessment of factors influencing surface roughness on the machining of glass –reinforced polymer composites. Journal of Materials and Design, 27, 862- 871.
  5. Zhao, X.F., He, L., Liu, W. and Zheng, W. J.,.2016. Influence of Cutting Tool Edge Preparation on Cutting Force and Surface Integrity. Trans Tech Publications, In Materials Science Forum, 836, 250- 255.
  6. Ren, X. and Liu, Z., 2016. Influence of cutting parameters on work hardening behavior of surface layer during turning superalloy Inconel 718. The International Journal of Advanced Manufacturing Technology, 1-9.
  7. Wang, J., Zhang, Y., Sun, Q., Liu, S., Shi, B. and Lu, H., 2016. Giga-fatigue life prediction of FV520B-I with surface roughness. Materials & Design, 89, 1028- 1034.
  8. Davim, J. P., 2001. A note on the determination of optimal cutting conditions for surface finish obtained in turning using design of experiments. Journal of Materials Processing Technology, 116, 305-308.
  9. Thomas, M., Beauchamp, Y., Youssef, A.Y. and Masounave, J., 1996. Effect of tool vibrations on surface roughness during lathe dry turning process. Computers & industrial engineering, 31, 637-644.
  10. Jang, J. L. and Tarng, Y. S., 1999. A study of the active vibration control of a cutting tool. Journal of Materials Processing Technology, 95, 78-82.
  11. Abouelatta, O. B., and Madl, J., 2001. Surface roughness based on cutting parameters and tool vibrations in turning operations. Journal of Materials Processing Technology, 118, 269-277.
  12. Gupta, M. and Kumar, S., 2015. Investigation of surface roughness and MRR for turning of UD-GFRP using PCA and Taguchi method. Engineering Science and Technology, International Journal, 18, 70-81.
  13. Krishankant, J. T., Bector, M. and Kumar, R., 2012. Application of Taguchi method for optimizing turning process by the effects of machining parameters. International Journal of Engineering and Advanced Technology, 2, 263- 274.
  14. Nalbant, M., Gökkaya, H. and Sur, G., 2007. Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning. Materials & design, 28, 1379-1385.
  15. Thamizhmanii, S., Saparudin, S. and Hasan, S., 2007. Analyses of surface roughness by turning process using Taguchi method. Journal of Achievements in Materials and Manufacturing Engineering, 20, 503- 506.
  16. Asiltürk, İ., Akkuş, H. and Turan Demirci, M., 2012. Modelling of surface roughness based on vibration, acustic emission and cutting parameters with regression. Engineer & the Machinery Magazine, 632, 55-62.
  17. Agrawal, A., Goel, S., Rashid, W.B. and Price, M., 2015. Prediction of surface roughness during hard turning of AISI 4340 steel (69 HRC). Applied Soft Computing, 30, 279-286.
  18. Asiltürk İ. and Akkuş H., 2011. Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method. Measurement, 44, 1697–1704
  19. Zhao, X.F., He, L., Liu, W. and Zheng, W. J.,.2016. Influence of Cutting Tool Edge Preparation on Cutting Force and Surface Integrity. Trans Tech Publications, In Materials Science Forum, 836, 250- 255.