caa a22 4500 606159754 CHVBK 20210128100626.0 cr unu---uuuuu 210128e20150501xx s 000 0 eng 10.1007/s00521-014-1724-8 doi (NATIONALLICENCE)springer-10.1007/s00521-014-1724-8 Refined microstructure of compo cast nanocomposites: the performance of combined neuro-computing, fuzzy logic and particle swarm techniques [Elektronische Daten] [Mohsen Shabani, Mohammad Rahimipour, Ali Tofigh, Parviz Davami] Aluminum metal matrix composites (MMCs) reinforced with nanoceramics are ideal materials for the manufacture of lightweight automotive and other commercial parts. Adaptive neuro-fuzzy inference system combined with particle swarm optimization method is implemented in this research study in order to optimize the parameters in processing of aluminum MMCs. In order to solve the problems associated with poor wettability, agglomeration and gravity segregation of nanoparticles in the melt, a mixture of alumina and aluminum particles was used as the reinforcement instead of raw nanoalumina. Microstructural characterization shows dendritic microstructure for the sand cast and non-dendritic microstructure for the compo cast samples. The fine equiaxed structure of compo cast nanocomposite arises from copious nucleation triggered by a pressure. The Natural Computing Applications Forum, 2014 Nano nationallicence PSO nationallicence Optimum conditions nationallicence Shabani Mohsen Materials and Energy Research Center (MERC), Tehran, Iran aut Rahimipour Mohammad Materials and Energy Research Center (MERC), Tehran, Iran aut Tofigh Ali Materials and Energy Research Center (MERC), Tehran, Iran aut Davami Parviz Department of Materials Engineering, Sharif University of Technology, Tehran, Iran aut Neural Computing and Applications Springer London 26/4(2015-05-01), 899-909 0941-0643 26:4<899 2015 26 521 https://doi.org/10.1007/s00521-014-1724-8 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00521-014-1724-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Shabani Mohsen Materials and Energy Research Center (MERC), Tehran, Iran aut NATIONALLICENCE 700 1- Rahimipour Mohammad Materials and Energy Research Center (MERC), Tehran, Iran aut NATIONALLICENCE 700 1- Tofigh Ali Materials and Energy Research Center (MERC), Tehran, Iran aut NATIONALLICENCE 700 1- Davami Parviz Department of Materials Engineering, Sharif University of Technology, Tehran, Iran aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/4(2015-05-01), 899-909 0941-0643 26:4<899 2015 26 521