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Recycling strategy and a recyclability assessment model based on an artificial neural network

TitleRecycling strategy and a recyclability assessment model based on an artificial neural network
Publication TypeJournal Article
Year of Publication2002
AuthorsLiu ZF, Liu XP, Wang SW, Liu GF
Journal TitleJournal of Materials Processing Technology
Volume129
Pages500-506
KeywordsArtificial neural network, Assessment model, Design for recycling, Product recycling, Recycling strategy
AbstractDesigning products for recyclability is driven by environmental and economic goals. To obtain good recyclability, two measures can beadopted. One is better recycling strategy and technology; whilst the other is design for recycling (DFR). Recyclability assessment is one of themost important contents in DFR. First, this paper discusses the content of DFR, and strategies and types related to product recycling, andpoints out that whether recyclability is easy or difficult depends on the product design. Then the methods and the procedure of recyclabilityassessment based on artificial neural network are explored in detail. Finally, a case study shows that this method is simple and operable.
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