Artificial neural network predictions on erosive wear of polymers

Conference proceeding

Peer reviewed

Z Zhang, N.-M Barkoula, J KARGER-KOCSIS and K Friedrich

Wear, Vol.255(1), pp.708-713

14th International Conference on Wear Materials, Washington, DC, USA, 30 March-3 April 2003. Part 1

01/08/2003

Abstract

Applied sciences

Artificial intelligence

Computer science; control theory; systems

Exact sciences and technology

Friction, wear, lubrication

Learning and adaptive systems

Machine components

Mechanical engineering. Machine design

Mechanical properties

Physical properties

Polymer industry, paints, wood

Properties and testing

Technology of polymers

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Title: Artificial neural network predictions on erosive wear of polymers
Creators - without role: Z Zhang - Institute for Composite Materials
N.-M Barkoula - Institute for Composite Materials
J KARGER-KOCSIS - Institute for Composite Materials
K Friedrich - University of Kaiserslautern
Publication Details: Wear, Vol.255(1), pp.708-713
Conference: 14th International Conference on Wear Materials, Washington, DC, USA, 30 March-3 April 2003. Part 1
Publisher: Elsevier Science
Identifiers: 9948435308331
Academic Unit: King Saud University
Language: English
Resource Type: Conference proceeding