IMPROVEMENT OF SURFACE ROUGHNESS DURING TURNING OF PRE-HEATED MILD STEEL USING VOICE ACTIVATED ULTRASONIC WAVES
DOI:
https://doi.org/10.11113/jt.v76.5698Keywords:
Voice activated ultrasonic signal, surface roughness, turning, preheated mild steelAbstract
Surface roughness represents the dimensional accuracy of the finished product and is one of the most important quality parameters of the finished product. For improvement of the surface quality several techniques like magnetic field, ultrasonic assisted turning and so on has been introduced. Ultrasonically Assisted Turning has been one of the techniques which showed great promise. It is a hybrid technique based on superimposition of ultrasonic vibration on a movement of a cutting tool in turning process. In this paper, a new technique using the concept of voice activated mode generated ultrasonic smart waves has been proposed and adopted with an aim to improve average surface roughness of the preheated machined surface of mild steel. Externally voice activated ultrasonic sound waves were applied during turning process of preheated mild steel and its effect on average surface roughness was studied. Experimentations were carried out under different ultrasonic frequencies to determine the surface roughness to the best degree possible. The experimental results showed significant improvements in surface roughness in preheated machined products.ÂReferences
Mahdy, S. M. A., Gouda, M. A., Silberschmidt, V. V. 2013. Study of Ultrasonically Assisted Turning of Stainless Steel and Brass Alloys. In: Journal of Physics: Conference Series 451, paper 012037.
Nidal H Abu-Zahra, Gang Yu. 2000. Analytical Model for Tool Wear Monitoring in Turning Operations using Ultrasound Waves. International Journal of Machine Tools and Manufacture. 40(11): 1619–1635.
Silberschmidta, V.V, Mahdyb, S.M.A., Goudab, M.A., Naseera, A., Agostino Maurottoa, A. Roya, A. 2014. Surface-Roughness Improvement in Ultrasonically Assisted Turning. In: 2nd CIRP Conference on Surface Integrity (CSI), Procedia CIRP. 13: 49-54.
D. Dinakaran, S. Sampathkumar, N. Sivashanmugam. 2009. An Experimental Investigation on Monitoring of Crater Wear in Turning using Ultrasonic Technique. International Journal of Machine Tools and Manufacture. 49(15): 1234–1237.
Md. Anayet U. Patwari, Shafi Noor, Omar Farque Rassel, TMM Sunny. 2013. Effect of Ultrasonic Sound Signal on Machinability Control During Turning Operations of Mild Steel. International journal of Electrical Energy. 1(2): 113-116. Engineering and Technology Publishing, doi: 10.12720/ijoee.1.2.113-116.
Muhammad, R., Maurotto, A., Roy, A., Silberschmidt, V.V. 2012. Ultrasonically Assisted Turning of Ti-6Al-2Sn-4Zr-6Mo. In: Journal of Physics: Conference Series 382. paper 012016.
You-Li Zhu, Kan Wang, Li Li, Yuan-Lin Huang. 2009. Evaluation of an Ultrasound-Aided Deep Rolling Process for Anti-Fatigue Applications. Journal of Materials Engineering and Performance. 18(8): 1036-1040.
Mi Hossain, Akm Amin, Au Patwari Computer and Communication Engineering. 2008. ICCCE 2008. Development of an Artificial Neural Network Algorithm for Predicting the Surface Roughness in End Milling of Inconel 718 Alloy.
Kok P.Y., Amin A.K.M.N. and Ahmad F. Ismail. 2005. Preheating, Cryogenic Cooling and Combined Approach to Improve Machinability of Stainless Steel in Turning. Proceedings of the International Conference on Mechanical Engineering 2005 (ICME2005) 28- 30 December 2005. Dhaka, Bangladesh, ICME05-AM-49.
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