Cover Image

Predicting of tool wear on machining parameters using design of experiment (DOE) methodology

Lately, there are many factories in Malaysia were build and increasing along with the development of the economic structure and national rapid development. However, not all the engineers in those factories are using proper statistical analysis in their research in the industry. Throughout this pr...

Full description

Saved in:
Bibliographic Details
Main Author: Faizal Zamri, Zainal Abidin
Format: Undergraduates Project Papers
Language:English
Published: 2007
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/2264/1/FAIZAL_ZAMRI_B_ZAINAL_ABIDIN.PDF
http://umpir.ump.edu.my/id/eprint/2264/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.ump.umpir.2264
record_format eprints
spelling my.ump.umpir.22642015-03-03T07:55:37Z http://umpir.ump.edu.my/id/eprint/2264/ Predicting of tool wear on machining parameters using design of experiment (DOE) methodology Faizal Zamri, Zainal Abidin TJ Mechanical engineering and machinery Lately, there are many factories in Malaysia were build and increasing along with the development of the economic structure and national rapid development. However, not all the engineers in those factories are using proper statistical analysis in their research in the industry. Throughout this project which "Predicting of Tool Wear on Machining Parameters Using Design of Experiment (DOE) Methodology", the result will be analyzed using DOE methodology and software. Implementing DOE method, the experiment is based on 2 Full Factorial Experiment. The study is focusing on turning process which one of cutting process. The experiment is conducted using lathe machine and measured by using image analyzer. The analysis consists of four main elements which are finding the significant factor, relationship between parameters, Analysis of Variance (ANOVA) and estimated result at optimum condition. Finally, the outcome of the study is to determine if the DOE methodology may predict of tool wear and its effectiveness for statistical analysis. 2007-11 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/2264/1/FAIZAL_ZAMRI_B_ZAINAL_ABIDIN.PDF Faizal Zamri, Zainal Abidin (2007) Predicting of tool wear on machining parameters using design of experiment (DOE) methodology. Faculty of Mechanical Engineering, Umversiti Malaysia Pahang.
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Faizal Zamri, Zainal Abidin
Predicting of tool wear on machining parameters using design of experiment (DOE) methodology
description Lately, there are many factories in Malaysia were build and increasing along with the development of the economic structure and national rapid development. However, not all the engineers in those factories are using proper statistical analysis in their research in the industry. Throughout this project which "Predicting of Tool Wear on Machining Parameters Using Design of Experiment (DOE) Methodology", the result will be analyzed using DOE methodology and software. Implementing DOE method, the experiment is based on 2 Full Factorial Experiment. The study is focusing on turning process which one of cutting process. The experiment is conducted using lathe machine and measured by using image analyzer. The analysis consists of four main elements which are finding the significant factor, relationship between parameters, Analysis of Variance (ANOVA) and estimated result at optimum condition. Finally, the outcome of the study is to determine if the DOE methodology may predict of tool wear and its effectiveness for statistical analysis.
format Undergraduates Project Papers
author Faizal Zamri, Zainal Abidin
author_facet Faizal Zamri, Zainal Abidin
author_sort Faizal Zamri, Zainal Abidin
title Predicting of tool wear on machining parameters using design of experiment (DOE) methodology
title_short Predicting of tool wear on machining parameters using design of experiment (DOE) methodology
title_full Predicting of tool wear on machining parameters using design of experiment (DOE) methodology
title_fullStr Predicting of tool wear on machining parameters using design of experiment (DOE) methodology
title_full_unstemmed Predicting of tool wear on machining parameters using design of experiment (DOE) methodology
title_sort predicting of tool wear on machining parameters using design of experiment (doe) methodology
publishDate 2007
url http://umpir.ump.edu.my/id/eprint/2264/1/FAIZAL_ZAMRI_B_ZAINAL_ABIDIN.PDF
http://umpir.ump.edu.my/id/eprint/2264/
_version_ 1643664575655051264
score 13.211869

Similar Items