Paper Title
OPTIMIZATION OF MACHINING PARAMETERS INDRILLING HYBRID FIBER REINFORCED COMPOSITES ON VMC
Article Identifiers
: Keywords
Quality, Cost, Time, Composite, Light weight, drilling, etc..,
Abstract
ABSTRACT: In the highly competitive manufacturing world, the ultimate goals of the manufacturer are to produce high quality products at minimum cost and in less time. While focusing on the composite materials, the main points to be considered are environment friendliness and light weight, with high specific properties. To fulfill these requirements, the natural fibers are incorporated into manmade fibers, and partially eco friendly hybrid composites have been developed by using Bamboo, E-Glass and Sisal fibers as reinforcing material in the epoxy resin matrix and their mechanical properties such as tensile strength, flexural strength and impact strength are evaluated. Drilling operations were carried out on the composite laminate in order to optimize the process parameters viz., cutting speed, feed and Point angle for obtaining the optimal values of surface roughness using HSS twist drill. Experiments were carried out as per Taguchi experimental design (L16) are conducted using BFW AGNI BMV 45++TC24 machining center and results were analyzed to study the influence of various combinations of process parameters on the quality of holes produced and a set of optimum values of process parameters to be obtained.
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How To Cite (APA)
Dr.K.Anandan, Mr.D.Saravanan, Mr.D.Manivannan, Mr.G.Arun kumar, & K.Saravanasuriya (November-2023). OPTIMIZATION OF MACHINING PARAMETERS INDRILLING HYBRID FIBER REINFORCED COMPOSITES ON VMC. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(11), a185-a194. https://ijnrd.org/papers/IJNRD2311021.pdf
Issue
Volume 8 Issue 11, November-2023
Pages : a185-a194
Other Publication Details
Paper Reg. ID: IJNRD_208057
Published Paper Id: IJNRD2311021
Downloads: 000122013
Research Area: Engineering
Author Type: Indian Author
Country: KRISHNAGIRI, TAMIL NADU, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2311021.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2311021
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