Application of artificial neural network for fatigue life prediction
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Trans Tech Publications
2014
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my.unimap-338542014-04-19T17:57:20Z Application of artificial neural network for fatigue life prediction Ishak, Abdul Azid, Dr. Lee, Kor Oon Ong, Kang E. Seetharamu, Kankanhally N. Ghulam, Abdul Quadir, Prof. Dr. ishak@eng.usm.my leekoroon@yahoo.com oku337@hotmail.com knramu@eng.usm.my gaquadir@unimap.edu.my Artificial neural network Finite element simulation Solder joint reliability Link to publisher's homepage at http://www.ttp.net/ An extensively published and correlated solder joint fatigue life prediction methodology is incorporated by which finite element simulation results are translated into estimated cycles to failure. This study discusses the analysis methodologies as implemented in the ANSYS™ finite element simulation software tool. Finite element models are used to study the effect of temperature cycles on the solder joints of a flip chip ball grid array package. Through finite element simulation, the plastic work or the strain-energy density of the solder joints are determined. Using an established methodology, the plastic work obtained through simulation is translated into solder joint fatigue life [1]. The corresponding results for the solder joint fatigue life are used for parametric studies. Artificial Neural Network (ANN) has been used to consolidate the parametric studies 2014-04-19T17:57:20Z 2014-04-19T17:57:20Z 2005 Article Key Engineering Materials, vol. 297-300(1), 2005, pages 96-101 1013-9826 http://dspace.unimap.edu.my:80/dspace/handle/123456789/33854 http://www.scientific.net/KEM.297-300.96 10.4028/www.scientific.net/KEM.297-300.96 en Trans Tech Publications |
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Universiti Malaysia Perlis |
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Asia |
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Malaysia |
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Universiti Malaysia Perlis |
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http://dspace.unimap.edu.my/ |
| language |
English |
| topic |
Artificial neural network Finite element simulation Solder joint reliability |
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Artificial neural network Finite element simulation Solder joint reliability Ishak, Abdul Azid, Dr. Lee, Kor Oon Ong, Kang E. Seetharamu, Kankanhally N. Ghulam, Abdul Quadir, Prof. Dr. Application of artificial neural network for fatigue life prediction |
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Link to publisher's homepage at http://www.ttp.net/ |
| author2 |
ishak@eng.usm.my |
| author_facet |
ishak@eng.usm.my Ishak, Abdul Azid, Dr. Lee, Kor Oon Ong, Kang E. Seetharamu, Kankanhally N. Ghulam, Abdul Quadir, Prof. Dr. |
| format |
Article |
| author |
Ishak, Abdul Azid, Dr. Lee, Kor Oon Ong, Kang E. Seetharamu, Kankanhally N. Ghulam, Abdul Quadir, Prof. Dr. |
| author_sort |
Ishak, Abdul Azid, Dr. |
| title |
Application of artificial neural network for fatigue life prediction |
| title_short |
Application of artificial neural network for fatigue life prediction |
| title_full |
Application of artificial neural network for fatigue life prediction |
| title_fullStr |
Application of artificial neural network for fatigue life prediction |
| title_full_unstemmed |
Application of artificial neural network for fatigue life prediction |
| title_sort |
application of artificial neural network for fatigue life prediction |
| publisher |
Trans Tech Publications |
| publishDate |
2014 |
| url |
http://dspace.unimap.edu.my:80/dspace/handle/123456789/33854 |
| _version_ |
1643797318108971008 |
| score |
13.222552 |