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NISCAIR ONLINE PERIODICALS REPOSITORY (NOPR) >
NISCAIR PUBLICATIONS >
Research Journals >
Indian Journal of Engineering and Materials Sciences (IJEMS) >
IJEMS Vol.18 [2011] >
IJEMS Vol.18(5) [October 2011] >
| Title: | Weld residual stress prediction using artificial neural network and Fuzzy logic modeling |
| Authors: | Dhas, J Edwin Raja
Kumanan, Somasundaram |
| Keywords: | Weld residual stress
Artificial neural network
Fuzzy logic
Finite element analysis |
| Issue Date: | Oct-2011 |
| Publisher: | NISCAIR-CSIR, India |
| Abstract: | intelligent tools such as expert systems,
artificial neural network and fuzzy logic support decision-making are being used
in intelligent manufacturing systems. Success of intelligent manufacturing
systems depends on effective and efficient utilization of intelligent tools. Weld residual stress depends on different process
parameters and its prediction and control is a challenge to the researchers. In
this paper, intelligent predictive techniques artificial neural network (ANN)
and fuzzy logic models are developed for weld residual stress prediction. The
models are developed using
Matlab toolbox functions. Data set
required to train the models are obtained through finite element simulation. Results
from the fuzzy model are compared with the developed artificial neural network model, and these models are also
validated.
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| Page(s): | 351-360 |
| CC License: |  CC Attribution-Noncommercial-No Derivative Works 2.5 India |
| ISSN: | 0975-1017 (Online); 0971-4588 (Print) |
| Source: | IJEMS Vol.18(5) [October 2011]
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