Journals / ACADEMIC PLATFORM-JOURNAL OF ENGINEERING AND SCIENCE / 2020 / Cilt: 8 - Sayı: 2

Influence of Dry-Wet Machining Conditions on Surface Roughness of 6082-T6 Aluminum Alloy in Milling Process

Pages
222–229
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

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

As last step, confirmation tests were carried out to check the success of the study.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In present study the optimum processing conditions were detected by exploring the surface roughness of the 6082-T6 aluminum alloy during milling, depending on the feed per tooth (0.03, 0.05, 0.07, 0.09 mm/tooth), spindle speed (1000,1500, 2000, 2500 rpm) and cooling type (air, liquid) parameters.
📊
Key Findings & Data:Experiments designed according to Taguchi’s L16 orthogonal array.
💡
Conclusion & Impact:As last step, confirmation tests were carried out to check the success of the study.
🔬Design:Research Article
📍Scope:2000 Verileri
⚙️Variables:Domain Parameters

Özet

In present study the optimum processing conditions were detected by exploring the surface roughness of the 6082-T6 aluminum alloy during milling, depending on the feed per tooth (0.03, 0.05, 0.07, 0.09 mm/tooth), spindle speed (1000,1500, 2000, 2500 rpm) and cooling type (air, liquid) parameters. Experiments designed according to Taguchi’s L16 orthogonal array. With the help of Signal/Noise ratios, the appropriate levels of the parameters have been determined to reduce the surface roughness value to the smallest value. The optimized machining conditions for surface roughness were observed 0.03 mm/tooth of feed per tooth and 2500 rpm of spindle speed and cooling by liquid. Variance and regression analysis were also made in the study. It was obtained that feed per tooth was the dominant parameter on surface roughness according to the analysis results. As last step, confirmation tests were carried out to check the success of the study.

🔖

Cite This Article

ÖZSOY, N., ÖZSOY, M. (2020). Influence of Dry-Wet Machining Conditions on Surface Roughness of 6082-T6 Aluminum Alloy in Milling Process. ACADEMIC PLATFORM-JOURNAL OF ENGINEERING AND SCIENCE, Cilt: 8 - Sayı: 2, 222–229. https://ajindex.com/articles/354893

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (1)

  1. .I. Asilturk, S. Neseli, M.A. Ince, “Optimization of parameters affecting surface roughness of Co28Cr6Mo medical material during CNC lathe machining by using the taguchi and RSM methods”, Measurement, vol.78, pp. 120- 128, 2016. [2].S. Ozturk, “Application of theTaguchi method for surface roughness predictions in the turning process”, Materials Testing, vol. 58, no.3, pp. 782-787, 2016. [3].A. Uysal, “Surface roughness in nano fluid minimum quantity lubrication milling of AISI 430 ferritic stainless steel”, Journal of Testing and Evaluation, vol. 45, pp. 933- 939, 2017. [4]. F. A. Akhavan, S. Safian, A. S. Alizadeh, I. M. Hasbullah, “Statistical analysis, modeling and optimization of thrust force and surface roughness in high-speed drilling of Al–Si alloy”, Proc IMechE, Part B: J Engineering Manufacture, vol. 227, no.6, pp. 808-820, 2013. [5].R. Junxue, Z. Jinhua, Z. Jingwen, “Analysis and optimization of cutter geometric parameters for surface integrity in milling titanium alloy using a modified grey– Taguchi method” Proc IMechE, Part B: J Engineering Manufacture, vol. 230, no.11, pp. 2114-2128, 2016. [6].M. Jebaraj, M. P. Kumar, N. Yuvaraj, G. M. Rahman, “Experimental study of the influence of the process parameters in the milling of Al6082-T6 alloy” Materials and Manufacturing Processes, vol. 34, no. 12, 1411–1427, 2019. [7].J. U. Pillai, I. Sanghrajka, M. Shunmugavel, T. Muthuramalingam, M. Goldberg, G. Littlefair, “Optimisation of multiple response characteristics on end milling of aluminium alloy using Taguchi-Grey relational approach”, Measurement, 124, 291-298, 2018. [8].T. Somkiat, T. Prae, R. Suthas, “A wavelet approach to predict surface roughness in ball-end milling”, Proc IMechE, Part B: J Engineering Manufacture, vol.231, no.14, pp. 2468- 2478, 2017. [9].Z. Zhang, C. Chen, D. Kirby, “Surface roughness optimization in an end-milling operation using the Taguchi design method”, Journal of Materials Processing Technology, vol.184, pp.233-239, 2007. [10]. M. Nalbant, H. Gokkaya, G. Sur, “Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning”, Materials and Design, vol. 28, pp.1379-1385, 2007. [11]. T. Kıvak, “Optimization of surface roughness and flank wear using the taguchi method in milling of hadfield steel with PVD and CVD coated inserts”, Measurement, vol.50, pp.19-28, 2014. [12]. M. Gunay, “Optimization with Taguchi method of cutting parameters and tool nose radius in machining of AISI 31