Prediction of crack growth propagation of a super alloy through ANN modeling

Linear-elastic fracture mechanics based technique was used to measure the fracture toughness in terms of K1C of a solid solution super alloy. Due to thermal fatigue and high temperature exposure for various application of Alloy 617, it was demanded to measure crack growth behaviour of this alloy. Pr...

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Main Authors:	Muhammad Hasibul Hasan, Hasan, Md. Sazib Mollik, Sazib, Muataz Hazza Faizi, Muataz
Format:	Article
Language:	English
Published:	Trans Tech Publications Ltd., Switzerland 2015
Subjects:	TS200 Metal manufactures. Metalworking
Online Access:	http://irep.iium.edu.my/49212/ http://irep.iium.edu.my/49212/1/CGR_paper.pdf

id	iium-49212
recordtype	eprints
spelling	iium-492122016-07-18T07:11:10Z http://irep.iium.edu.my/49212/ Prediction of crack growth propagation of a super alloy through ANN modeling Muhammad Hasibul Hasan, Hasan Md. Sazib Mollik, Sazib Muataz Hazza Faizi, Muataz TS200 Metal manufactures. Metalworking Linear-elastic fracture mechanics based technique was used to measure the fracture toughness in terms of K1C of a solid solution super alloy. Due to thermal fatigue and high temperature exposure for various application of Alloy 617, it was demanded to measure crack growth behaviour of this alloy. Pre-cracked compact tension (CT) specimens ware used to determine the crack growth rate (CGR) of alloy 617 by direct current potential drop (DCPD) in-situ crack monitoring technique. Artificial Neural network (ANN) statistical model computed different fracture parameters from experimental inputs by feeding information to the network. This feed-forward network calculated the threshold fracture toughness, number of cycle to failure, slope of the Paris curve for the alloy at different temperatures and load ratios. The computational model correlates and converges with the experimental results with a maximum deviation of 6%. Thus, the model is recommended for complex and stochastic application of the nickel base super alloy 617. Trans Tech Publications Ltd., Switzerland 2015-03-26 Article PeerReviewed application/pdf en http://irep.iium.edu.my/49212/1/CGR_paper.pdf Muhammad Hasibul Hasan, Hasan and Md. Sazib Mollik, Sazib and Muataz Hazza Faizi, Muataz (2015) Prediction of crack growth propagation of a super alloy through ANN modeling. Advanced Materials Research, 1115. pp. 217-220. ISSN 1662-8985
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TS200 Metal manufactures. Metalworking
spellingShingle	TS200 Metal manufactures. Metalworking Muhammad Hasibul Hasan, Hasan Md. Sazib Mollik, Sazib Muataz Hazza Faizi, Muataz Prediction of crack growth propagation of a super alloy through ANN modeling
description	Linear-elastic fracture mechanics based technique was used to measure the fracture toughness in terms of K1C of a solid solution super alloy. Due to thermal fatigue and high temperature exposure for various application of Alloy 617, it was demanded to measure crack growth behaviour of this alloy. Pre-cracked compact tension (CT) specimens ware used to determine the crack growth rate (CGR) of alloy 617 by direct current potential drop (DCPD) in-situ crack monitoring technique. Artificial Neural network (ANN) statistical model computed different fracture parameters from experimental inputs by feeding information to the network. This feed-forward network calculated the threshold fracture toughness, number of cycle to failure, slope of the Paris curve for the alloy at different temperatures and load ratios. The computational model correlates and converges with the experimental results with a maximum deviation of 6%. Thus, the model is recommended for complex and stochastic application of the nickel base super alloy 617.
format	Article
author	Muhammad Hasibul Hasan, Hasan Md. Sazib Mollik, Sazib Muataz Hazza Faizi, Muataz
author_facet	Muhammad Hasibul Hasan, Hasan Md. Sazib Mollik, Sazib Muataz Hazza Faizi, Muataz
author_sort	Muhammad Hasibul Hasan, Hasan
title	Prediction of crack growth propagation of a super alloy through ANN modeling
title_short	Prediction of crack growth propagation of a super alloy through ANN modeling
title_full	Prediction of crack growth propagation of a super alloy through ANN modeling
title_fullStr	Prediction of crack growth propagation of a super alloy through ANN modeling
title_full_unstemmed	Prediction of crack growth propagation of a super alloy through ANN modeling
title_sort	prediction of crack growth propagation of a super alloy through ann modeling
publisher	Trans Tech Publications Ltd., Switzerland
publishDate	2015
url	http://irep.iium.edu.my/49212/ http://irep.iium.edu.my/49212/1/CGR_paper.pdf
first_indexed	2023-09-18T21:09:36Z
last_indexed	2023-09-18T21:09:36Z
_version_	1777411163531771904

Prediction of crack growth propagation of a super alloy through ANN modeling

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