2017
DOI: 10.1007/s12666-017-1134-6
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Performance of ANFIS Coupled with PSO in Manufacturing Superior Wear Resistant Aluminum Matrix Nano Composites

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Cited by 33 publications
(9 citation statements)
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“…Shabani et al optimized the process parameters of pressure-assisted semi-solid processing of A360/TiC nano composite using the ANFIS-PSO technique. It was noted that the trained model could behave erratically in unseen input conditions and was not easy to interpret in case of inadequate training dataset; since, in such hybrid models the learning was entirely data-driven with stringent requirements on the quality of the training dataset [19].…”
Section: Introductionmentioning
confidence: 99%
“…Shabani et al optimized the process parameters of pressure-assisted semi-solid processing of A360/TiC nano composite using the ANFIS-PSO technique. It was noted that the trained model could behave erratically in unseen input conditions and was not easy to interpret in case of inadequate training dataset; since, in such hybrid models the learning was entirely data-driven with stringent requirements on the quality of the training dataset [19].…”
Section: Introductionmentioning
confidence: 99%
“…The noticeable merits of this technique are lower processing temperature that offers more life of dies, [ 163 ] and high production cycle time. [ 164 ] Moreover, wettability between the constituents is also enhanced due to stirring during the freezing range of the matrix. [ 165 ] Khosravi et al [ 160 ] developed A356/SiC p composites using compocasting and observed that with increasing stirring time and decreasing stirring temperature, the homogeneity in the distribution of SiC p was significantly enhanced.…”
Section: Processing Techniques Of Amcsmentioning
confidence: 99%
“…where G is the shear field modulus, b the Burgers vector, υ is the Poisson ratio, λ is the distance between particles, and D is the average diameter of the particles [34][35][36][37]. The distance between particles (λ) can be replaced by the volume fraction (V f ) and average particle diameter by the following equation [38,39]:…”
Section: Introductionmentioning
confidence: 99%