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...
| Main Author: | |
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| Format: | Undergraduates Project Papers |
| Language: | English |
| Published: |
2007
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/2264/1/FAIZAL_ZAMRI_B_ZAINAL_ABIDIN.PDF |
| _version_ | 1825821237346041856 |
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| author | Faizal Zamri, Zainal Abidin |
| author_facet | Faizal Zamri, Zainal Abidin |
| author_sort | Faizal Zamri, Zainal Abidin |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T11:38:30Z |
| format | Undergraduates Project Papers |
| id | UMPir2264 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T11:38:30Z |
| publishDate | 2007 |
| record_format | dspace |
| spelling | UMPir22642015-03-03T07:55:37Z 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. |
| spellingShingle | TJ Mechanical engineering and machinery Faizal Zamri, Zainal Abidin Predicting of tool wear on machining parameters using design of experiment (DOE) methodology |
| title | 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_short | 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 |
| topic | TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/2264/1/FAIZAL_ZAMRI_B_ZAINAL_ABIDIN.PDF |
| work_keys_str_mv | AT faizalzamrizainalabidin predictingoftoolwearonmachiningparametersusingdesignofexperimentdoemethodology |