Optimum Design Using Genetic Algorithm and Discrete-element Method: Application to Vibration Feeder Design for E-waste Recycling Automation

This study is an engineering application of an optimum design approach using the discrete element method (DEM) and a genetic algorithm (GA) which is one of the most commonly used evolutionary computation algorithms. The three-dimensional shapes of waste electrical and electronic equipment (WEEE) wer...

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Published inResources Processing Vol. 69; no. 3; pp. 133 - 141
Main Authors HAYASHI, Naohito, KATAGIRI, Jun, UEDA, Takao, KOYANAKA, Shigeki
Format Journal Article
LanguageEnglish
Published Kyoto The Resources Processing Society of Japan 2023
Japan Science and Technology Agency
Subjects
Algorithms
Asymmetry
Asymmetry tray
Automation
Design
Design for recycling
Discrete element method
Electronic equipment
Electronic waste
Evolutionary algorithms
Evolutionary computation
Genetic algorithms
Optimum design method
Recycling
Trays
Vibration feeder
Waste electrical and electronic equipment
Waste recycling
Online AccessGet full text
ISSN1348-6012
1349-9262
1349-9262
DOI10.4144/rpsj.69.133

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Abstract This study is an engineering application of an optimum design approach using the discrete element method (DEM) and a genetic algorithm (GA) which is one of the most commonly used evolutionary computation algorithms. The three-dimensional shapes of waste electrical and electronic equipment (WEEE) were directly applied in a DEM simulation. The DEM-GA simulation was applied to design the tray set on a single-item feeder for recycling WEEEs; as a result, we obtained the left-right asymmetrical tray shape. Moreover, unlike conventional symmetrical trays, the asymmetrical shape induced complex side forces to prevent clogging and to untangle any clogs that had formed. We manufactured a zig-zag type asymmetrical tray and examined its feeding performance. Finally, we confirmed that the asymmetrical tray was more effective to prevent the feeding stop when compared to the symmetrical tray.
AbstractList This study is an engineering application of an optimum design approach using the discrete element method (DEM) and a genetic algorithm (GA) which is one of the most commonly used evolutionary computation algorithms. The three-dimensional shapes of waste electrical and electronic equipment (WEEE) were directly applied in a DEM simulation. The DEM-GA simulation was applied to design the tray set on a single-item feeder for recycling WEEEs; as a result, we obtained the left-right asymmetrical tray shape. Moreover, unlike conventional symmetrical trays, the asymmetrical shape induced complex side forces to prevent clogging and to untangle any clogs that had formed. We manufactured a zig-zag type asymmetrical tray and examined its feeding performance. Finally, we confirmed that the asymmetrical tray was more effective to prevent the feeding stop when compared to the symmetrical tray.
Author KATAGIRI, Jun
HAYASHI, Naohito
UEDA, Takao
KOYANAKA, Shigeki
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10.2320/matertrans.M-M2021806
10.1038/nature04801
10.1002/fld.1770
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SubjectTerms Algorithms
Asymmetry
Asymmetry tray
Automation
Design
Design for recycling
Discrete element method
Electronic equipment
Electronic waste
Evolutionary algorithms
Evolutionary computation
Genetic algorithms
Optimum design method
Recycling
Trays
Vibration feeder
Waste electrical and electronic equipment
Waste recycling
Title Optimum Design Using Genetic Algorithm and Discrete-element Method: Application to Vibration Feeder Design for E-waste Recycling Automation
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