Application ofWeibull Probability to Predict the Size of Inclusion in Metallic Material

Large inclusions can be the initiation site for fatigue failure in metal components. As melting processes are becoming more refined, the size of the inclusions falls below the level of detectability of the non-destructive testing methods. This final year project is divided into three parts. In th...

Full description

Saved in:
Bibliographic Details
Main Author: Megat Shahair, Megat Atif
Format: Final Year Project
Language:English
Published: Universiti Teknologi PETRONAS 2008
Subjects:
Online Access:http://utpedia.utp.edu.my/9738/1/2008%20-%20Action%20of%20Weibull%20Probability%20to%20Pridict%20the%20Size%20of%20Inclusion%20in%20Metallic%20Material.pdf
http://utpedia.utp.edu.my/9738/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-utp-utpedia.9738
record_format eprints
spelling my-utp-utpedia.97382017-01-25T09:44:56Z http://utpedia.utp.edu.my/9738/ Application ofWeibull Probability to Predict the Size of Inclusion in Metallic Material Megat Shahair, Megat Atif TJ Mechanical engineering and machinery Large inclusions can be the initiation site for fatigue failure in metal components. As melting processes are becoming more refined, the size of the inclusions falls below the level of detectability of the non-destructive testing methods. This final year project is divided into three parts. In the first part of the project, Weibull probability was applied to predict largest oxide inclusion size and compare to the actual observation under scanning electron microscope. The results showed that Weibull probability prediction is accurate with margin of ± 3 microns. In the second part of project, the Weibull probability was tested using nodular cast iron. The nodules were measured for their true and apparent sizes, respectively. Based on the data, the effect on Weibull probability was found to be negligible. In the third part of the project, rotating fatigue test was performed under cantilevered loading by using two sets of medium carbon steel specimens. The specimens were annealed at 840 °C, held for one hour and furnace cooled before being polished and tested. Step-size method was selected where each specimen was subjected to 2.52 x 10 cycles at initial load of 5 N. The load was increased progressively until the specimen eventually fails. Only those specimens failed due too oxide inclusion at fatigue initiation site were regarded. Based on observational results, the two sets had different probability of survivalwhich corresponded to their respectively largestoxide inclusion size. Universiti Teknologi PETRONAS 2008-07 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/9738/1/2008%20-%20Action%20of%20Weibull%20Probability%20to%20Pridict%20the%20Size%20of%20Inclusion%20in%20Metallic%20Material.pdf Megat Shahair, Megat Atif (2008) Application ofWeibull Probability to Predict the Size of Inclusion in Metallic Material. Universiti Teknologi PETRONAS. (Unpublished)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Megat Shahair, Megat Atif
Application ofWeibull Probability to Predict the Size of Inclusion in Metallic Material
description Large inclusions can be the initiation site for fatigue failure in metal components. As melting processes are becoming more refined, the size of the inclusions falls below the level of detectability of the non-destructive testing methods. This final year project is divided into three parts. In the first part of the project, Weibull probability was applied to predict largest oxide inclusion size and compare to the actual observation under scanning electron microscope. The results showed that Weibull probability prediction is accurate with margin of ± 3 microns. In the second part of project, the Weibull probability was tested using nodular cast iron. The nodules were measured for their true and apparent sizes, respectively. Based on the data, the effect on Weibull probability was found to be negligible. In the third part of the project, rotating fatigue test was performed under cantilevered loading by using two sets of medium carbon steel specimens. The specimens were annealed at 840 °C, held for one hour and furnace cooled before being polished and tested. Step-size method was selected where each specimen was subjected to 2.52 x 10 cycles at initial load of 5 N. The load was increased progressively until the specimen eventually fails. Only those specimens failed due too oxide inclusion at fatigue initiation site were regarded. Based on observational results, the two sets had different probability of survivalwhich corresponded to their respectively largestoxide inclusion size.
format Final Year Project
author Megat Shahair, Megat Atif
author_facet Megat Shahair, Megat Atif
author_sort Megat Shahair, Megat Atif
title Application ofWeibull Probability to Predict the Size of Inclusion in Metallic Material
title_short Application ofWeibull Probability to Predict the Size of Inclusion in Metallic Material
title_full Application ofWeibull Probability to Predict the Size of Inclusion in Metallic Material
title_fullStr Application ofWeibull Probability to Predict the Size of Inclusion in Metallic Material
title_full_unstemmed Application ofWeibull Probability to Predict the Size of Inclusion in Metallic Material
title_sort application ofweibull probability to predict the size of inclusion in metallic material
publisher Universiti Teknologi PETRONAS
publishDate 2008
url http://utpedia.utp.edu.my/9738/1/2008%20-%20Action%20of%20Weibull%20Probability%20to%20Pridict%20the%20Size%20of%20Inclusion%20in%20Metallic%20Material.pdf
http://utpedia.utp.edu.my/9738/
_version_ 1739831711408062464
score 13.211869