Estimation of Ceramic Tool Insert Life and Surface Finish While Machining SS304 Stainless Steel
Jayasheel I Harti
, Shivakumar Vannal , Dinesh Kumar , Harishanad K S
Depth of Cut, Speed, Feed, Surface Roughness, SS304 Stainless Steel and Tool Inserts
The challenge of modern machining industries is mainly focused on the achievement of high quality, in terms of workpiece dimensional accuracy, surface finish, and high production rate, less wear on the cutting tools, the economy of machining and performance of the product with reduced environmental impact. At the outset, in several manufacturing industries, the quality of the components plays a significant role in satisfying the engineering needs. Precision and accuracy of components can be attained only by machining with appropriate machine tools and machining conditions. In Engineering, steels are majorly used in automotive, aerospace, and other industrial applications. Many factors affect the surface roughness and tool wear i.e. cutting conditions, tool variables, and workpiece variables. Cutting conditions include speed, feed, and depth of cut, and also tool variables include tool material, nose radius, rake angle, cutting edge geometry, tool vibration, tool overhang, tool point angle, etc. And workpiece variables include the hardness of material and mechanical properties. In the present work ANOVA software is used to estimate the parameters which influence the tool life and surface roughness.The input parameters were Spindle speed (450, 710, 1800 rpm), Feed rate (0.05, 0.063, 0.1 mm/rev), Depth of cut (0.5, 1.0, 1.5 mm) and the response variables were the Surface roughness and tool wear and the effect of Speed, Feed and Depth of Cut on surface finish of Work Piece is studied for the machined surface
"Estimation of Ceramic Tool Insert Life and Surface Finish While Machining SS304 Stainless Steel", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 2, page no.246 - 251, February-2022, Available :https://ijsdr.org/papers/IJSDR2202041.pdf
Volume 7
Issue 2,
February-2022
Pages : 246 - 251
Paper Reg. ID: IJSDR_194015
Published Paper Id: IJSDR2202041
Downloads: 000347239
Research Area: Engineering
Country: Bangalore, Karnataka, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
