Modelling a new composite from a recycled GFRP |
| |
| Authors: | J Kers J Majak |
| |
| Institution: | (1) Department of Materials En gi neer ing, Tallinn University of Technology, 19086 Tallinn, Estonia;(2) Department of Machinery, Tallinn University of Technology, 19086 Tallinn, Estonia |
| |
| Abstract: | The mechanical reprocessing of different types of plastic scrap in high-energy disintegrator mills in direct and selective
milling systems is considered. The grindabilty and separation of components of composites-an acrylic plastic and glass fibers-are
analyzed. The relation between the density of the filler material and the fractions of a polymethylmethacrylate powder is
modelled on the basis of experimental data. Artificial neural networks and a hybrid genetic algorithm are used to design a
new composite from a recycled glass-fiber-reinforced plastic.
Russian translation in Mekhanika Kompozitnykh Materialov, Vol. 44, No. 6, pp. 881–894, November–December, 2008. |
| |
| Keywords: | recycling of plastic scrap disintegrators hybrid genetic algorithm artificial neural networks |
| 本文献已被 SpringerLink 等数据库收录！ |
|
