MARC details
| 000 -LEADER |
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| fixed length control field |
02312nam a2200253 a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
vtls000040641 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
KUKTEM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251114204407.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
090721t2008 my a f m 001 0 eng|d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
THE0006504(Local) |
| 039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] |
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| Level of rules in bibliographic description |
201905141242 |
| Level of effort used to assign nonsubject heading access points |
amirul |
| Level of effort used to assign subject headings |
201804171459 |
| Level of effort used to assign classification |
huda |
| Level of effort used to assign subject headings |
201107132243 |
| Level of effort used to assign classification |
VLOAD |
| Level of effort used to assign subject headings |
200908141650 |
| Level of effort used to assign classification |
VLOAD |
| -- |
200907211623 |
| -- |
ida84 |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
UMP |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
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| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
TJ1185 .G36 2008 rs Bc. |
| 100 3# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Gan, Sin Yi |
| 245 12 - TITLE STATEMENT |
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| Title |
Mathematical modeling to predict surface roughness in milling process / |
| Statement of responsibility, etc. |
Gan Sin Yi |
| 246 3# - VARYING FORM OF TITLE |
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| Title proper/short title |
Mathematical modeling to predict surface roughness in milling process / |
| Medium |
[electronic resource] |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Place of publication, distribution, etc. |
Kuantan, Pahang : |
| Name of publisher, distributor, etc. |
UMP, |
| Date of publication, distribution, etc. |
2008 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
71 p. : |
| Other physical details |
ill. (some col.) ; |
| Dimensions |
30 cm. + |
| Accompanying material |
1 computer disc |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
Project paper (Bachelor of Mechanical Engineering with Manufacturing) -- Universiti Malaysia Pahang - 2008 |
| 520 3# - SUMMARY, ETC. |
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| Summary, etc. |
Surface roughness (Ra) is one of the most important requirements in machining process. In order to obtain better surface roughness, the proper setting of cutting parameters is crucial before the process take place. This research presents the development of mathematical model for surface roughness prediction before milling process in order to evaluate the fitness of machining parameters; spindle speed, feed rate and depth of cut. 84 samples were run in this study by using FANUC CNC Milling α-Τ14ιE. Those samples were randomly divided into two data sets- the training sets (m=60) and testing sets(m=24). ANOVA analysis showed that at least one of the population regression coefficients was not zero. Multiple Regression Method was used to determine the correlation between a criterion variable and a combination of predictor variables. It was established that the surface roughness is most influenced by the feed rate. By using Multiple Regression Method equation, the average percentage deviation of the testing set was 9.8% and 9.7% for training data set. This showed that the statistical model could predict the surface roughness with about 90.2% accuracy of the testing data set and 90.3% accuracy of the training data set. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Milling (Metal-work) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machining |
| General subdivision |
Mathematical models |