Prediction on wear properties of polymer composites with artificial neural networks

Author

ZHENYU JIANG¹ ; ZHONG ZHANG^{1 2} ; FRIEDRICH, Klaus¹
[1] Institute for Composite Materials, University of Kaiserslautern, 67663 Kaiserslautern, Germany
[2] National Center for Nanoscience and Technology, China, No. 2, 1st North Street, Zhongguancun, 100080 Beijing, China

Issue title

Modelling and characterization of composites _ Honoring professor Yiu-Wing Mai, Asian and Australasian editor

Author (monograph)

YE, Lin (Editor)¹ ; HU, Xiaozhi (Editor)² ; HOFFMAN, Mark (Editor)³
[1] University of Sydney, School of Aerospace, Mechanical and Mechatronic Engineering, Sydney, NSW 2006, Australia
[2] University of Western Australia, Department of Mechanical Engineering, Perth, WA 6009, Australia
[3] University of New South Wales, School of Materials Science & Engineering, Kensington, NSW 2052, Australia

Source

Composites science and technology. 2007, Vol 67, Num 2, pp 168-176, 9 p ; ref : 15 ref

CODEN

CSTCEH

ISSN

0266-3538

Scientific domain

Chemical industry parachemical industry; Mechanics acoustics; Metallurgy, welding; Polymers, paint and wood industries

Publisher

Elsevier, Oxford

Publication country

United Kingdom

Document type

Article

Language

English

Author keyword

A. Polymer-matrix composites (PMCs) Artificial neural network (ANN) B. Mechanical properties B. Wear

Keyword (fr)

Amide polymère Etude théorique Fibre courte Matériau composite Matériau renforcé dispersion Matériau renforcé fibre Modélisation Polymère aliphatique Propriété mécanique Réseau neuronal Résistance compression Tribologie Usure glissement Amide 46 polymère

Keyword (en)

Nylon Theoretical study Short fiber Composite material Dispersion reinforced material Fiber reinforced material Modeling Aliphatic polymer Mechanical properties Neural network Compressive strength Tribology Sliding wear

Keyword (es)

Amida polímero Estudio teórico Fibra corta Material compuesto Material renforzado dispersión Material reforzado fibra Modelización Polímero alifático Propiedad mecánica Red neuronal Resistencia compresión Tribología Desgaste deslizamiento

Classification

Pascal

001 Exact sciences and technology / 001B Physics / 001B40 Fundamental areas of phenomenology (including applications) / 001B40F Solid mechanics / 001B40F30 Structural and continuum mechanics / 001B40F30P Mechanical contact (friction...)

Pascal

001 Exact sciences and technology / 001D Applied sciences / 001D10 Polymer industry, paints, wood / 001D10A Technology of polymers / 001D10A06 Forms of application and semi-finished materials / 001D10A06H Composites

Discipline

Physics : solid mechanics Polymer industry, paints, wood

Origin

Inist-CNRS

Database

PASCAL

INIST identifier

18467224

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS