Prediction of Tribological Properties of Al MMCs using ANN Models

Language: English

Published by LAP LAMBERT Academic Publishing Jul 2019, 2019

3659577480 / 9783659577482

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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.

Seller Inventory # 9783659577482

Title
Prediction of Tribological Properties of Al MMCs using ANN Models
Author
Veeresh Kumar G. B.
Publisher
LAP LAMBERT Academic Publishing Jul 2019
Publication year
2019
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659577480
ISBN 13
9783659577482
Item weight
292 grams
Dimensions
220x150x12 mm

buchversandmimpf2000

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