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Meso-modeling of Closed-Cell Aluminum Foam Under Compression Loading Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Neuro-Fuzzy Modeling and Wear Rate Predictions of Microwave Clads

Authors : Keerthana Chigateri, Ajit M. Hebbale, Baswanta S. Patil, M. Anjani Prasad

Published in: Advances in Lightweight Materials and Structures

Publisher: Springer Singapore

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Abstract

SS-304 is extensively used in almost all industrial applications. Wear is one of the sever problems that reduce the life span of functional components. In the current work, an attempt is made to develop nickel-based clads though microwave energy at 900 W power. The developed clad shows excellent bonding with the target substrate without visible cracks. Microstructural and erosion analysis were carried out successfully. Taguchi L9 array was used with speed (S), impact angle (A) and various sizes of particles were considered for the erosion studies. The most reliable and popular neuro-fuzzy analytical technique was effectively used to forecast the wear behavior. Finally, the fuzzy predicted values were compared with experimentally obtained values. It was observed that the average percentage of error between fuzzy logic and experimental values is 10.34%.

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Metadata
Title
Neuro-Fuzzy Modeling and Wear Rate Predictions of Microwave Clads
Authors
Keerthana Chigateri
Ajit M. Hebbale
Baswanta S. Patil
M. Anjani Prasad
Copyright Year
2020
Publisher
Springer Singapore
Book
Advances in Lightweight Materials and Structures

Print ISBN: 978-981-15-7826-7

Electronic ISBN: 978-981-15-7827-4

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-15-7827-4_55

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