Turning parameters optimization for machining TC21 Ti- alloy Using Taguchi Technique

Author:

Sobh Arafa S.,Sayed Esraa M.1ORCID,Barakat Azza F.,Elshaer Ramadan N.

Affiliation:

1. Helwan University Faculty of Engineering

Abstract

Abstract The development of materials fabrication is an important trend in materials engineering. TC21) is one of these materials trend. This study aims to improve surface roughness and wear of tool insert using a turning process. To achieve this aim, experimental work will be conducted under three varying cutting parameters, each one of them with three levels. Cutting speeds (V) of 80, 100 and 120 m/min, feed rates (f) of 0.05, 0.10 and 0.15 mm/rev and cutting depth (a) of 0.2, 0.4 and 0.6 mm. The turning experiments optimization will be determined using the Taguchi technique by applying orthogonal array (OA) L9. Minitab (19) software is utilized to get the optimum turning parameters using analysis of signal to noise ratio (S/N). The results revealed that the cutting depth, and the cutting speed are the most significant parameters on surface roughness and wear of tool insert, respectively. Minimum surface roughness at V = 80 m/min, f = 0.10 mm/rev and a = 0.4 mm is 0.16 dB, and maximum surface roughness at V = 80 m/min, f = 0.15 mm/rev, and a = 0.6 mm is 0.72 dB. Minimum tool wear at V = 100 m/min, f = 0.15 mm/rev, and a = 0.2 is 187.770 µm, and the maximum tool wear at V = 80 m/min, f = 0.10 mm/rev, and a = 0.4 mm is 274.896 µm. Additionally, the validation model indicated that the deviation value of surface roughness is 6.564% (< 10%), and of tool wear is 8.76% (< 10%).

Publisher

Research Square Platform LLC

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1. Comparative study of green synthesis of nanoparticles for removal of oily industrial wastewater by Taguchi method;International Journal of Environmental Science and Technology;2023-07-31

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