Optimization of Machining Parameters on End Milling of EN 8 Back Shaft for Power Press (Record no. 9310)

000 -LEADER
fixed length control field a
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20190620093514.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190620b xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency AIKTC-KRRC
Transcribing agency AIKTC-KRRC
100 ## - MAIN ENTRY--PERSONAL NAME
9 (RLIN) 9311
Author Sosa, Prakash B.
245 ## - TITLE STATEMENT
Title Optimization of Machining Parameters on End Milling of EN 8 Back Shaft for Power Press
250 ## - EDITION STATEMENT
Volume, Issue number Vol. 8(3), Sep-Dec
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New Delhi
Name of publisher, distributor, etc. STM Journals
Year 2018
300 ## - PHYSICAL DESCRIPTION
Pagination 49-58p.
520 ## - SUMMARY, ETC.
Summary, etc. The most of the industries carried out various machining processes are the heart of any industries. The processes are advanced day by day in order to achieve goal of efficiency. The paper state about one of the process namely end milling on experimentally investigates the effect of input parameters on material removal rate and surface roughness for key way cut on particular back shaft. Design of experiment carried out by taguchi method using Minitab software. Signal to noise ratio is applied to find optimum process parameter for TMC end milling. Experiment is carried out on EN 8 material of back shaft by end mill. The end mill is solid carbide material cutting tool having four flute 8 mm diameter, shank length 30 mm and cutter length 35 mm is used for experiments on a turning milling centre. A L25 orthogonal array and analysis of variance are applied to study the performance characteristic of maching parameters ( Cutting Speed, Feed Rate, and Depth of Cut ) with considering of higher MRR by maintain surface roughness have been identified. Result obtained by taguchi method and signal-to-noise ratio match closely by analysis of variance. Regression equation is formulated for estimating predicated value of MRR and surface roughness.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4626
Topical term or geographic name entry element Mechanical Engineering
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 9312
Co-Author Makwana, Rishabh D.
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 9307
Co-Author Acharya, G. D.
773 0# - HOST ITEM ENTRY
International Standard Serial Number 2347-9965
Title Recent trends in mechanical engineering & technology (TMET)
Place, publisher, and date of publication Noida STM Journals
856 ## - ELECTRONIC LOCATION AND ACCESS
URL http://engineeringjournals.stmjournals.in/index.php/TMET/article/view/773
Link text Click here
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Articles Abstract Database
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Barcode Date last seen Price effective from Koha item type
          School of Engineering & Technology School of Engineering & Technology Archieval Section 2019-06-20 2018631 2019-06-20 2019-06-20 Articles Abstract Database
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