Abstract
Designing products for recyclability is driven by environmental and economic goals. To obtain good recyclability, two measures can be adopted. One is better recycling strategy and technology; whilst the other is design for recycling (DFR). Recyclability assessment is one of the most important contents in DFR. First, this paper discusses the content of DFR, and strategies and types related to product recycling, and points out that whether recyclability is easy or difficult depends on the product design. Then the methods and the procedure of recyclability assessment based on artificial neural network are explored in detail. Finally, a case study shows that this method is simple and operable.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
