Warpage optimization of a name card holder using neural network model / (Record no. 1863)

MARC details
000 -LEADER
fixed length control field 01816nam a2200253 a 4500
001 - CONTROL NUMBER
control field vtls000045977
003 - CONTROL NUMBER IDENTIFIER
control field KUKTEM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251114204428.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100604t2009 da f m 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number THE0007454(Local)
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201905161149
Level of effort used to assign nonsubject heading access points fawwaz
Level of effort used to assign subject headings 201204051142
Level of effort used to assign classification Fida
Level of effort used to assign subject headings 201107132323
Level of effort used to assign classification VLOAD
-- 201006040843
-- Fida
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) TP1150 .A45 2009 rs Bc.
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Ahmad Amiruddin Rosdi
245 10 - TITLE STATEMENT
Title Warpage optimization of a name card holder using neural network model /
Statement of responsibility, etc. Ahmad Amiruddin Bin Rosdi
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Kuantan, Pahang :
Name of publisher, distributor, etc. UMP ,
Date of publication, distribution, etc. 2009
300 ## - PHYSICAL DESCRIPTION
Extent xvii, 77 p. :
Other physical details ill. (some col.) ;
Dimensions 30 cm. +
Accompanying material 1 CD-ROM
502 ## - DISSERTATION NOTE
Dissertation note Project paper (Bachelor of Mechanical Engineering with Manufacturing Engineering) -- Universiti Malaysia Pahang - 2009
520 3# - SUMMARY, ETC.
Summary, etc. Injection molding has become widely process that used in plastic manufacturing. To produce high quality product, it has to consider the process condition. In this study, optimum parameters for injection molding of a name card holder are determined. Finite element software MoldFlow, statistical design of experiment and artificial neural network are used in finding optimum value. The process parameter influencing warpage is determined using finite element software based on data using full factorial design. By exploiting finite element analysis result, a predictive model using artificial neural network is created. Optimum value is determined by comparing result by using finite element analysis and optimization using artificial neural network and choose the smallest percentage of error.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Injection molding of plastics
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Plastics
General subdivision Moulding
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Finite element model
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   TP1150 .A45 2009 rs Bc. 0000046311 04/09/2019 1 04/09/2019 Final Year Report
  Not lost   Not for loan UMPLIB PEKAN UMPLIB PEKAN 04/09/2019   CD 4456 | TP1150 .A45 2009 rs Bc. 0000046312 04/09/2019 1 04/09/2019 Final Year Report

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