veeresh kumar g b (20 resultados)

Paperback. Condición: Brand New. 172 pages. 8.66x5.91x0.39 inches. In Stock.

Condición: New.

Condición: New.

Paperback. Condición: Brand New. 184 pages. 8.66x5.91x0.42 inches. In Stock.

Taschenbuch. Condición: Neu. Tribological Studies on Aluminum-Based Particulate Reinforced MMCs | Literature Review, Fabrication, Physical, Mechanical and Tribological Studies of Aluminum based Metal Matrix Composites | Veeresh Kumar G B (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9786200250964 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. Prediction of Tribological Properties of Al MMCs using ANN Models | Wear Studies of Aluminum based Metal Matrix Composites and Prediction of Wear using Artificial Neural Networks | Veeresh Kumar G. B. (u. a.) | Taschenbuch | 184 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9783659577482 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Paperback. Condición: Brand New. 172 pages. 8.66x5.91x0.39 inches. In Stock.

paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The superior properties of composite materials over conventional materials have been well acknowledged by the research community. In particular, Aluminum Metal Matrix Composites (Al-MMCs) are sought over other conventional engineering materials owing to their excellent mechanical properties and outstanding wear resistance. Al-MMCs are widely used in aerospace, marine and automotive industries for different applications. Wear is a complex phenomenon and the most important reason for the damage and consequent failure of machine parts. A lot of experiments have to be conducted in order to study the wear behavior resulting in wastage of both manpower and money. In several Artificial Intelligence (AI), an Artificial Neural Networks (ANN) help in reducing the cost of experiments when implemented with care and enough data in prediction of wear. Al-MMCs subjected to wear studies and with the obtained data, an ANN model was developed to predict the tribological properties of the Al6061 and Al7075 reinforced with SiC and Al2O3 MMCs. The predicted values of tribological properties of MMCs using a well trained ANN were found in good agreement with experimental values. 184 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Madhukar PagidiDr. Pagidi Madhukar is specialized in the field of micro and nano fabrication and experimental investigations of particulates and reinforced metal matrix composites. He has rich experience in physical, mechanical, trib.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 172 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kumar G B VeereshDr. Veeresh Kumar G. B. is specialized in the field ofFabrication and Evaluation of Physical, Mechanical,and Tribological Characterization of Metal MatrixComposites with professional experience in disciplinesof Mater.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kumar G. B. VeereshDr. Veeresh Kumar G. B. is specialized in the field of Fabrication and Evaluation of Physical, Mechanical, and Tribological Characterization of Metal Matrix Composites with professional experience in disciplines of.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The superior properties of composite materials over conventional materials have been well acknowledged by the research community. In particular, Aluminum Metal Matrix Composites (Al-MMCs) are sought over other conventional engineering materials owing to their excellent mechanical properties and outstanding wear resistance. Al-MMCs are widely used in aerospace, marine and automotive industries for different applications. Wear is a complex phenomenon and the most important reason for the damage and consequent failure of machine parts. A lot of experiments have to be conducted in order to study the wear behavior resulting in wastage of both manpower and money. In several Artificial Intelligence (AI), an Artificial Neural Networks (ANN) help in reducing the cost of experiments when implemented with care and enough data in prediction of wear. Al-MMCs subjected to wear studies and with the obtained data, an ANN model was developed to predict the tribological properties of the Al6061 and Al7075 reinforced with SiC and Al2O3 MMCs. The predicted values of tribological properties of MMCs using a well trained ANN were found in good agreement with experimental values.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 184 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The superior properties of composite materials over conventional materials have been well acknowledged by the research community. In particular, Aluminum Metal Matrix Composites (Al-MMCs) are sought over other conventional engineering materials owing to their excellent mechanical properties and outstanding wear resistance. Al-MMCs are widely used in aerospace, marine and automotive industries for different applications. Wear is a complex phenomenon and the most important reason for the damage and consequent failure of machine parts. A lot of experiments have to be conducted in order to study the wear behavior resulting in wastage of both manpower and money. In several Artificial Intelligence (AI), an Artificial Neural Networks (ANN) help in reducing the cost of experiments when implemented with care and enough data in prediction of wear. Al-MMCs subjected to wear studies and with the obtained data, an ANN model was developed to predict the tribological properties of the Al6061 and Al7075 reinforced with SiC and Al2O3 MMCs. The predicted values of tribological properties of MMCs using a well trained ANN were found in good agreement with experimental values.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Aluminum (Al) Metal Matrix Composites (MMCs) are being used in place of cast iron and steel in automobile, mining and mineral sectors due to their lightweight and high strength. In automobile, aerospace, mining and mineral sectors, there exist situations where two mating parts are in sliding contact with each other. Due to the relative motion, there is an inevitable loss of material. In certain situations, if the extent of material is beyond a critical limit, there are possibilities of catastrophic failure of the components. Wear is a complex phenomenon and the most important reason for the damage and consequent failure of machine parts. This book describes the extensive literature review of the various researchers work on the studies of Al-MMCs. Further, the fabrication of MMCs, of Al6061-SiC, Al6061- Al2O3, Al7075-SiC and Al7075-Al2O3 MMCs. The composites were developed by liquid metallurgy technique via stir casting method which is economical. The fabricated MMCs were subjected to various studies like physical, mechanical and tribological properties along with the OM and SEM studies on the alloys and composites. The obtained results of the MMCs were presented and discussed.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Aluminum (Al) Metal Matrix Composites (MMCs) are being used in place of cast iron and steel in automobile, mining and mineral sectors due to their lightweight and high strength. In automobile, aerospace, mining and mineral sectors, there exist situations where two mating parts are in sliding contact with each other. Due to the relative motion, there is an inevitable loss of material. In certain situations, if the extent of material is beyond a critical limit, there are possibilities of catastrophic failure of the components. Wear is a complex phenomenon and the most important reason for the damage and consequent failure of machine parts. This book describes the extensive literature review of the various researchers work on the studies of Al-MMCs. Further, the fabrication of MMCs, of Al6061-SiC, Al6061- Al2O3, Al7075-SiC and Al7075-Al2O3 MMCs. The composites were developed by liquid metallurgy technique via stir casting method which is economical. The fabricated MMCs were subjected to various studies like physical, mechanical and tribological properties along with the OM and SEM studies on the alloys and composites. The obtained results of the MMCs were presented and discussed.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 172 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.