To study the multi-objective optimization of EDM using genetic algorithm / (Record no. 5551)

MARC details
000 -LEADER
fixed length control field 02357ntm a2200241 a 4500
001 - CONTROL NUMBER
control field vtls000083846
003 - CONTROL NUMBER IDENTIFIER
control field KUKTEM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251117113244.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 141120t2013 my a f m 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number THE0006911(Local)
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201906131032
Level of effort used to assign nonsubject heading access points aida
Level of effort used to assign subject headings 201411210925
Level of effort used to assign classification ariffin
Level of effort used to assign subject headings 201411201238
Level of effort used to assign classification ariffin
-- 201411201238
-- ariffin
040 ## - CATALOGING SOURCE
Original cataloging agency UMP
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) TK7871.6 .F35 2013 r Bc.
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Fairuz Idris
245 10 - TITLE STATEMENT
Title To study the multi-objective optimization of EDM using genetic algorithm /
Statement of responsibility, etc. Fairuz Idris
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Kuantan, Pahang :
Name of publisher, distributor, etc. UMP,
Date of publication, distribution, etc. 2013
300 ## - PHYSICAL DESCRIPTION
Extent xvi, 82 p. :
Other physical details ill. (some col.) ;
Dimensions 30 cm.
502 ## - DISSERTATION NOTE
Dissertation note Project paper (Bachelor of Mechanical Engineering) -- Universiti Malaysia Pahang – 2013
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Bibliography : p. 77-82
520 3# - SUMMARY, ETC.
Summary, etc. In the manufacturing industry, the production and quality of a product is very important, especially when it involves the big industries EDM. A machine such as EDM (electro discharge machine) used to produce a product that require an accurate product quality. EDM is one of the most accurate manufacturing processes for creating geometric shapes whether complex or simple in parts and assemblies. Development of EDM process has resulted in significant improvements in operating techniques, productivity and accuracy, which the result of this machining development has helped variability in EDM process. The main purpose of this study is to optimize the parameters used in EDM machining such as non-electrical parameter, electrical parameters, the characteristics of the machining, work piece and the variable parameters that will affect the actual machining performances such as material removal rate (MRR), electrode wear ratio (EWR), and surface roughness (SR). In the process of the study, the second- order mathematical model has been create as a fitness function using MATLAB software to generate multi-objective optimization responses using Genetic Algorithms, peak current, pulse-on time, pulse-off time and servo voltage are act as input of parameter setting. Based on the responses from EDM machining process which has been conducted showed the parameter is effect the level of machining performances in order to get the optimum value.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Genetic algorithms
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
  Not lost   Not for loan UMPLIB PEKAN UMPLIB PEKAN 04/09/2019   TK7871.6 .F35 2013 r Bc. 0000086160 04/09/2019 1 04/09/2019 Final Year Report
  Not lost   Not for loan UMPLIB PEKAN UMPLIB PEKAN 04/09/2019   CD 8021 | TK7871.6 .F35 2013 r Bc. 0000086161 04/09/2019 1 04/09/2019 Final Year Report

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