NDLI: Modeling of ?' Precipitate Size of IN738LC Using LevenbergMarquardt Backpropagation Neural Network

Content Provider	IEEE Xplore Digital Library
Author	Bano, N. Fahim, A. Nganbe, M.
Copyright Year	2010
Abstract	The γ’ precipitate size of IN738LC is predicted using a Levenberg–Marquard back propagation neural network in matlab toolbox. A cast polycrystalline Ni based super alloy IN738LC (a gas turbine material) is considered and the γ’ precipitate size is described as a function of 5 variables (solutionizing temperature, solutionizing duration, ageing temperature, ageing duration, and cooling method (furnace cooling, water quenching, induction cooling, salt bath cooling, accelerated air cooling and oil quenching). The model converges very well and accurately predicts the ’ precipitate size. Because first stage gas turbine blades operate at very high and varying temperatures for extended period of time, the prediction of their ’ precipitate size is crucial as ’ precipitate morphology is responsible for most high temperature properties. The model developed in this work can be useful for predicting creep and other mocrstuctural properties at high temperatures.
Starting Page	45
Ending Page	50
File Size	395153
Page Count	6
File Format	PDF
ISBN	9781424479634
DOI	10.1109/ICIIC.2010.36
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-05
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Temperature Cooling Neurons Transfer functions Artificial neural networks Aging
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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