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- W3214236390 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%." @default.
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- W3214236390 date "2020-01-01" @default.
- W3214236390 modified "2023-09-23" @default.
- W3214236390 title "Neuro-Fuzzy Modeling and Wear Rate Predictions of Microwave Clads" @default.
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- W3214236390 doi "https://doi.org/10.1007/978-981-15-7827-4_55" @default.
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