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- W2737272269 abstract "Composites play a major role in manufacturing firms due to its less weight and good strength. Development of metal matrix composite draws the application of the fabrication of aircraft and aerospace structures. Hence manufacturing of composites needs attention. This paper discusses an investigation of developing Adaptive Neuro Fuzzy Inference System (ANFIS) neuro fuzzy model to predict wear rate for the developed composite under given set of parameters such as applied load, sliding velocity and distance travelled. Taguchi method is employed to conduct experiments. Obtained results were employed to train and test the proposed ANFIS model. Finally trained ANFIS model is validated and presented." @default.
- W2737272269 created "2017-07-31" @default.
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- W2737272269 date "2016-12-01" @default.
- W2737272269 modified "2023-09-25" @default.
- W2737272269 title "Neuro fuzzy modeling and prediction of wear rate in composite manufacturing" @default.
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- W2737272269 doi "https://doi.org/10.1109/iccicct.2016.7988052" @default.
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