Ductile iron crack prediction via finite element simulation

Ductile iron usage dates back some 5,000 years ago as forms of weapons and tools. During the industrial revolution, large machineries were built using ductile iron. However, it was not until recently when in depth studies on ductile iron fatigue life prediction were carried out. Currently, it seems...

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Main Author: Wu, Gabriel Aoli
Other Authors: School of Mechanical and Aerospace Engineering
Format: Final Year Project
Language:English
Published: 2014
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Online Access:http://hdl.handle.net/10356/60151
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-601512023-03-04T19:08:37Z Ductile iron crack prediction via finite element simulation Wu, Gabriel Aoli School of Mechanical and Aerospace Engineering Sylvie Castagne DRNTU::Engineering::Mechanical engineering Ductile iron usage dates back some 5,000 years ago as forms of weapons and tools. During the industrial revolution, large machineries were built using ductile iron. However, it was not until recently when in depth studies on ductile iron fatigue life prediction were carried out. Currently, it seems like there is no generalized fatigue model available to predict the fatigue life of ductile iron. Thus, the objective of this project was to create a generalized ductile iron fatigue model using finite element analysis and utilize it to observe the microstructure changes in the ductile iron material. This was carried out using the finite element simulation software Abaqus version 6.13. A series of methodologies were carried out to develop the finite element model. The first step was to obtain the ductile iron microstructure through etching. After which, nano-indentation was done to acquire the material properties. Then, a 2-dimensional model was created to serve as a reference for further work. Progressing on, a 3-dimensional model was created SolidWorks and imported into Abaqus to perform explicit analysis. Moving on, a 3-dimensional submodel was created upon the basic 3-dimensional model to provide a detailed solution. Lastly, the 3-dimensional submodel was utilized to carry out crack initiation and propagation prediction via eXtended Finite Element Analysis (XFEM). Results of the 2-dimensional and 3-dimensional models coincide with past experimental studies, which state that stress is likely to concentrate around the graphite nodule. In addition, the XFEM analysis agree with past experimental studies which states that cracks normally initiate outward from graphite nodules in a perpendicular direction with respect to the load applied. From these results gathered, it can be concluded that a generalized ductile iron fatigue model has been created. Further mesh refinement can be carried out to improve the accuracy of the results if time and resources permit. Bachelor of Engineering (Mechanical Engineering) 2014-05-22T07:15:54Z 2014-05-22T07:15:54Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/60151 en Nanyang Technological University 62 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Mechanical engineering
spellingShingle DRNTU::Engineering::Mechanical engineering
Wu, Gabriel Aoli
Ductile iron crack prediction via finite element simulation
description Ductile iron usage dates back some 5,000 years ago as forms of weapons and tools. During the industrial revolution, large machineries were built using ductile iron. However, it was not until recently when in depth studies on ductile iron fatigue life prediction were carried out. Currently, it seems like there is no generalized fatigue model available to predict the fatigue life of ductile iron. Thus, the objective of this project was to create a generalized ductile iron fatigue model using finite element analysis and utilize it to observe the microstructure changes in the ductile iron material. This was carried out using the finite element simulation software Abaqus version 6.13. A series of methodologies were carried out to develop the finite element model. The first step was to obtain the ductile iron microstructure through etching. After which, nano-indentation was done to acquire the material properties. Then, a 2-dimensional model was created to serve as a reference for further work. Progressing on, a 3-dimensional model was created SolidWorks and imported into Abaqus to perform explicit analysis. Moving on, a 3-dimensional submodel was created upon the basic 3-dimensional model to provide a detailed solution. Lastly, the 3-dimensional submodel was utilized to carry out crack initiation and propagation prediction via eXtended Finite Element Analysis (XFEM). Results of the 2-dimensional and 3-dimensional models coincide with past experimental studies, which state that stress is likely to concentrate around the graphite nodule. In addition, the XFEM analysis agree with past experimental studies which states that cracks normally initiate outward from graphite nodules in a perpendicular direction with respect to the load applied. From these results gathered, it can be concluded that a generalized ductile iron fatigue model has been created. Further mesh refinement can be carried out to improve the accuracy of the results if time and resources permit.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Wu, Gabriel Aoli
format Final Year Project
author Wu, Gabriel Aoli
author_sort Wu, Gabriel Aoli
title Ductile iron crack prediction via finite element simulation
title_short Ductile iron crack prediction via finite element simulation
title_full Ductile iron crack prediction via finite element simulation
title_fullStr Ductile iron crack prediction via finite element simulation
title_full_unstemmed Ductile iron crack prediction via finite element simulation
title_sort ductile iron crack prediction via finite element simulation
publishDate 2014
url http://hdl.handle.net/10356/60151
_version_ 1759853670227247104