Investigating the Relationship between Chuck and Tailstock Pressure in Turning by Using Full Factorial Design

Yıl 2023, Cilt: 13 Sayı: 2, 249 - 255, 31.12.2023

Hüseyin Gürbüz , Şehmus Baday

https://doi.org/10.36222/ejt.1359803

Cited By: 1

Öz

The failure of the workpieces to be attached to the lathe at a suitable chuck and tailstock pressure values causes to the run-out rotation of the workpiece and surface irregularities, resulting in deterioration of the dimensional accuracy and surface roughness values. In order to eliminate such negativities, it is quite important to determine the ideal chuck and tailstock pressure values. The aim of this study is to obtain the lowest surface roughness value by determining the relations between the chuck and tailstock pressure and their optimum pressure via using a 2^k full factorial design. In order to see the effect of chuck and tailstock pressure, the experiments were repeated 3 times at the lowest and highest chuck and tailstock pressures determined in the constant cutting parameters of AISI 304 stainless steel. For the surface roughness values obtained as a result of 3 repetitions, the full factorial design, the optimum chuck and tailstock pressure and their relations with each other were determined with ANOVA table. According to the results of full factorial design and ANOVA, chuck and tailstock pressure and their relations with each other were found significant. The most effective parameters on surface roughness were obtained as chuck pressure, tailstock pressure and chuck- tailstock pressure, respectively. According to the full factorial design results, it was determined that the lowest surface roughness values were obtained at 17 chuck pressure and 5 tailstock pressure. The R2 value obtained in the factorial regression was 98.24% and the corrected R2 value was 96.77%. As a result, it is understood that the full factorial design is an efficient and effective method in determining the chuck and tailstock pressure.

Anahtar Kelimeler

Full Factorial Design, ANOVA, Chuck pressure, Tailstock pressure, Surface roughness

Kaynakça

• [1] Kechagias, J.D., Aslani, K.E., Fountas, N.A., Vaxevanidis, N.M., Manolakos, D.E., A comparative investigation of Taguchi and full factorial design for machinability prediction in turning of a titanium alloy, Measurement, (2020), 151, 107213.
• [2] Athreya, S., Venkatesh, Y.D., Application of Taguchi method for optimization of process parameters in improving the surface roughness of lathe facing operation, International Refereed Journal of Engineering and Science, (2012), 1(3), 13-19.
• [3] Das, S.R., Dhupal, D., Kumar, A., Experimental Study & Modeling of Surface Roughness in Turning of Hardened AISI 4340 Steel Using Coated Carbide Inserted, International Journal of Automotive Engineering, (2013), 3 (1), 284-292.
• [4] Leksycki, K., Feldshtein, E., Study of the finish turning process based on the Parameter Space Investigation method, The International Journal of Advanced Manufacturing Technology, (2023). 126:5487–5499.
• [5] Rafidah, A., Nurulhuda, A., Azrina, A., Suhaila, Y., Anwar, I. S., Syafiq, R.A., Comparison design of experiment (doe): Taguchi method and full factorial design in surface roughness. Applied mechanics and materials, (2014), 660, 275-279.
• [6] Vikram, K.A., Ratnam, C., Narayana, K.S., Ben, B.S., Assessment of surface roughness and MRR while machining brass with HSS tool and carbide inserts, Indian Journal of Engineering and Materials Sciences, (2015). 22, 321-330.
• [7] Liu, N., Liu, B., Jiang, H., Wu, S., Yang, C., Chen, Y., Study on vibration and surface roughness in MQCL turning of stainless steel. Journal of Manufacturing Processes, (2021), 65, 343-353.
• [8] Saliminia, A., Abootorabi, M.M., Experimental investigation of surface roughness and cutting ratio in a spraying cryogenic turning process, Machining Science and Technology, (2019), 23(5), 779-793.
• [9] Arbizu, I.P., Perez, C.L., Surface roughness prediction by factorial design of experiments in turning processes, Journal of Materials Processing Technology, (2003), 143, 390-396.
• [10] Singh, D., Rao, P.V., A surface roughness prediction model for hard turning process, The International Journal of Advanced Manufacturing Technology, (2007). 32, 1115-1124.
• [11] Çelik, Y.H., Kilickap, E., Güney, M., Investigation of cutting parameters affecting on tool wear and surface roughness in dry turning of Ti-6Al-4V using CVD and PVD coated tools, Journal of the Brazilian Society of Mechanical Sciences and Engineering, (2017), 39, 2085-2093.
• [12] Ferreira, R., Carou, D., Lauro, C.H., Davim, J.P., Surface roughness investigation in the hard turning of steel using ceramic tools, Materials and Manufacturing Processes, (2016), 31(5), 648-652.
• [13] Gürbüz, H., and Baday, Ş. Determination of the Effect of Tailstock and Chuck Pressure on Vibratıon and Surface Roughness in Turning Operatıons with Gray Relatıonal Analysıs Method, in: Mechanical Engineering, Materials Science Research And Applications, (Ed. ŞAHİN Y., et al.), Güven plus, İstanbul, 2022, 44-73.
• [14] Gürbüz, H., Baday, Ş., Sönmez, F., Evaluation of the Effect of Chuck and Tailstock Pressure on Machining Parameters in CNC Lathe by Response Surface Method, Bitlis Eren University Journal of Science, (2021), 10(1), 160-169.
• [15] Gürbüz, H., Baday, Ş., Optimization of Effect of Chuck and Tailstock Pressure on Surface Roughness and Vibration with Taguchi Method in CNC Lathes, Bilecik Şeyh Edebali University Journal of Science, (2019). 6(2), 119-134.
• [16] Gürbüz, H., Baday, Ş., Ertuğrul, İ., The Effect of Chuck and Tailstock Pressure on Surface Roughness and Vibration Values in CNC Turning Machine, International Engineering and Science Symposium, Siirt, Türkiye, 2019, 20-22.
• [17] Camposeco-Negrete, C., Optimization of cutting parameters for minimizing energy consumption in turning of AISI 6061 T6 using Taguchi methodology and ANOVA, Journal of Cleaner Production, (2013), 53, 195-203.
• [18] Kuntoğlu, M., Sağlam, H., Investigation of progressive tool wear for determining of optimized machining parameters in turning, Measurement, (2019), 140, 427-436.
• [19] Das, A., Patel, S.K., Hotta, T.K., Biswal, B.B., Statistical analysis of different machining characteristics of EN-24 alloy steel during dry hard turning with multilayer coated cermet inserts, Measurement, (2019), 134, 123-141.