Experimental Surface Quality Estimation In Ultrasonic Vibration Assisted Helical Milling

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V. Uma Sai Vara, Prasad and K. Venkata, Rao and Ch., Nagraju and M., Venu and M., Venkataiah (2020) Experimental Surface Quality Estimation In Ultrasonic Vibration Assisted Helical Milling. Journal of Mechanics of Continua and Mathematical Sciences, 15 (7). pp. 472-479. ISSN 2454 -7190

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School: School of Core Engineering > Department of Mechanical Engineering

Department: School of Core Engineering > Department of Mechanical Engineering

Official URL: https://doi.org/10.26782/jmcms.2020.07.00041

Abstract

Surface quality is a vital aspect to assess the eminence of products that chooses wear and also stimuli quality of assemblies. The research journal article is focused to estimate the surface quality during helical milling with ultrasonic
vibration assistance to workpiece. This study presents an investigation of surface eminence on ultrasonic machining (UM) of difficult to cut material of D2 steel, an effort was made for modeling response i.e. surface roughness(Ra) in UM technique
by means of DESIGN EXPERT software. Three operational factors i.e. spindle speed(N), axial depth(ap) each at two levels and orbital speed(nc) of four levels were varied to investigate surface quality variations with respect to levels of operational
factors. The ANOVA was performed to ascertain importance of model established. The testings outcomes confirms validity and competence of model developed.

Item Type:	Article
Subjects:	AC Rearch Cluster
Depositing User:	Unnamed user with email techsupport@mosys.org
Date Deposited:	08 Dec 2023 08:59
Last Modified:	08 Dec 2023 08:59
URI:	https://ir.vignan.ac.in/id/eprint/442

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