A356 as matrix and nano SiC as reinforcement material nanocomposites are fabricated in this work. Since nanoparticles tend to agglomerate into large clusters during composite processing, effect of ultrasonic cavitation to avoid agglomeration and clustering of nanoparticles in melts is studied. Cavitation pressure required to be developed by the ultrasonic transducer to disperse reinforcements is evaluated. Uniform distribution of nanoparticles is ascertained by SEM test. EDS analysis reveals that there is no contamination of the fabricated composite. Fabricated nanocomposites are then machined into tensile, wear test specimens of dimensions according to ASTM standards. Mechanical properties like tensile strength, hardness, ductility, sliding wear resistance are evaluated and compared with pure aluminum alloy. Machinability and electrical conductivity also evaluated. In the present work, an attempt has been made to confirm the applicability of ANN techniques for prediction of wear of MMNCs by comparing the results of ANN with the experimental results. In addition to the above prediction model, yield strength results are validated using an analytical model.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Prof.D.Suneel, a distinguished academician and a seasoned Mechanical Professor is the Head of the Mechanical Department and Dean Academics in Narasaraopeta Engineering College, Narasaraopet. He received his Doctorate Degree from Andhra University, Visakhapatnam, INDIA in the year 2010.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 160 pp. Englisch. Bestandsnummer des Verkäufers 9786209179020
Anzahl: 2 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A356 as matrix and nano SiC as reinforcement material nanocomposites are fabricated in this work. Since nanoparticles tend to agglomerate into large clusters during composite processing, effect of ultrasonic cavitation to avoid agglomeration and clustering of nanoparticles in melts is studied. Cavitation pressure required to be developed by the ultrasonic transducer to disperse reinforcements is evaluated. Uniform distribution of nanoparticles is ascertained by SEM test. EDS analysis reveals that there is no contamination of the fabricated composite. Fabricated nanocomposites are then machined into tensile, wear test specimens of dimensions according to ASTM standards. Mechanical properties like tensile strength, hardness, ductility, sliding wear resistance are evaluated and compared with pure aluminum alloy. Machinability and electrical conductivity also evaluated. In the present work, an attempt has been made to confirm the applicability of ANN techniques for prediction of wear of MMNCs by comparing the results of ANN with the experimental results. In addition to the above prediction model, yield strength results are validated using an analytical model. Bestandsnummer des Verkäufers 9786209179020
Anzahl: 1 verfügbar
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -A356 as matrix and nano SiC as reinforcement material nanocomposites are fabricated in this work. Since nanoparticles tend to agglomerate into large clusters during composite processing, effect of ultrasonic cavitation to avoid agglomeration and clustering of nanoparticles in melts is studied. Cavitation pressure required to be developed by the ultrasonic transducer to disperse reinforcements is evaluated. Uniform distribution of nanoparticles is ascertained by SEM test. EDS analysis reveals that there is no contamination of the fabricated composite. Fabricated nanocomposites are then machined into tensile, wear test specimens of dimensions according to ASTM standards. Mechanical properties like tensile strength, hardness, ductility, sliding wear resistance are evaluated and compared with pure aluminum alloy. Machinability and electrical conductivity also evaluated. In the present work, an attempt has been made to confirm the applicability of ANN techniques for prediction of wear of MMNCs by comparing the results of ANN with the experimental results. In addition to the above prediction model, yield strength results are validated using an analytical model.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 160 pp. Englisch. Bestandsnummer des Verkäufers 9786209179020
Anzahl: 1 verfügbar