UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 5 | May 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 5 Issue 7
July-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1807319


Registration ID:
184254

Page Number

504-511

Share This Article


Jetir RMS

Title

OPTIMIZATION OF PROCESS PARAMETERS IN END MILLING OF 5083 ALUMINIUM ALLOY

Abstract

Computer Aided Manufacturing improves productivity in the modern manufacturing environment, however optimization of numerous factors involved in automated manufacturing or material removal environment is critical to produce high quality products. Recent advancements in manufacturing technology allow now a much wider selection of machining processes. In order to improve the accuracy, a long and expensive calibration process is usually performed on the CNC machine. In this thesis an attempt is made to investigate and evaluate the effect of different process parameters like cutting tool helix angle, speed, feed and depth of cut. 5083 aluminum alloy was selected as work material due to its wide range of applications in Automobile, locomotive and aerospace industries. The cutting speed in the range of 2000 rpm to 3500 rpm with a step of 500 rpm, feed of 800 mm/min to 1400 mm/min with a step of 200 mm/min, depth of cut of 0.25mm to 0.4 mm with a step of 0.05mm, Cutting tool helix angles of 25°, 45° Left hand helix and Right hand helix were chosen. The L16 design matrix was generated by using Minitab software. The machining is carried out as per the design matrix with HSS tool using SEMITOM AL 9002 oil as a cutting fluid. The process parameters were optimized using Single variable Optimization (Taguchi) and Multi Variable Optimization (Taguchi based Grey Relational Analysis) for better output response. The Analysis Of Variance (ANOVA) also carried out to know the percentage contribution of process parameters. From ANOVA it is found that Cutting speed and Feed are the most influential parameters for higher material removal rate. Feed and depth of cut are the most influential parameters for lower surface roughness.

Key Words

Material Removal Rate, Surface Roughness, Taguchi’s L16 Orthogonal Array, and TGRA

Cite This Article

"OPTIMIZATION OF PROCESS PARAMETERS IN END MILLING OF 5083 ALUMINIUM ALLOY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.504-511, July-2018, Available :http://www.jetir.org/papers/JETIR1807319.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"OPTIMIZATION OF PROCESS PARAMETERS IN END MILLING OF 5083 ALUMINIUM ALLOY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp504-511, July-2018, Available at : http://www.jetir.org/papers/JETIR1807319.pdf

Publication Details

Published Paper ID: JETIR1807319
Registration ID: 184254
Published In: Volume 5 | Issue 7 | Year July-2018
DOI (Digital Object Identifier):
Page No: 504-511
Country: --, -, -- .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0002871

Print This Page

Current Call For Paper

Jetir RMS