Characterization of geometrical parameters of plastic bottle shredder blade utilizing a two-step optimization method
In this paper, a numerical and experimental investigation of geometrical parameters of the blade for plastic bottle shredder was performed based on the Taguchi method in combination with a response surface method (RSM). Nowadays, plastic waste has become a major threat to the environment. Shredding,...
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Format: | Article |
Language: | English |
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Polish Academy of Sciences
2021-08-01
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Series: | Archive of Mechanical Engineering |
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Online Access: | https://journals.pan.pl/Content/120532/PDF/AME_2021_138392.pdf |
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author | Trieu Khoa Nguyen Minh Quang Chau The-Can Do Anh-Duc Pham |
author_facet | Trieu Khoa Nguyen Minh Quang Chau The-Can Do Anh-Duc Pham |
author_sort | Trieu Khoa Nguyen |
collection | DOAJ |
description | In this paper, a numerical and experimental investigation of geometrical parameters of the blade for plastic bottle shredder was performed based on the Taguchi method in combination with a response surface method (RSM). Nowadays, plastic waste has become a major threat to the environment. Shredding, in which plastic waste is shredded into small bits, ready for transportation and further processing, is a crucial step in plastic recycling. Although many studies on plastic shredders were performed, there was still a need for more researches on the optimization of shredder blades. Hence, a numerical analysis was carried out to study the influences of the relevant geometrical parameters. Next, a two-step optimization process combining the Taguchi method and the RSM was utilized to define optimal parameters. The simulation results clearly confirmed that the current technique can triumph over the limitation of the Taguchi method, originated from a discrete optimization nature. The optimal blade was then fabricated and experimented, showing lower wear via measurement by an ICamScope® microscope. Hence, it can be clearly inferred from this investigation that the current optimization method is a simple, sufficient tool to be applied in such a traditional process without using any complicated algorithms or expensive software. |
first_indexed | 2024-04-13T10:54:43Z |
format | Article |
id | doaj.art-930082a336ad4203a15c7a85999d810c |
institution | Directory Open Access Journal |
issn | 2300-1895 |
language | English |
last_indexed | 2024-04-13T10:54:43Z |
publishDate | 2021-08-01 |
publisher | Polish Academy of Sciences |
record_format | Article |
series | Archive of Mechanical Engineering |
spelling | doaj.art-930082a336ad4203a15c7a85999d810c2022-12-22T02:49:34ZengPolish Academy of SciencesArchive of Mechanical Engineering2300-18952021-08-01vol. 68No 3253269https://doi.org/10.24425/ame.2021.138392Characterization of geometrical parameters of plastic bottle shredder blade utilizing a two-step optimization methodTrieu Khoa Nguyen0https://orcid.org/0000-0003-2922-1512Minh Quang Chau1https://orcid.org/0000-0002-3180-3311The-Can Do2Anh-Duc Pham3https://orcid.org/0000-0002-0400-9200Faculty of Mechanical Engineering, Industrial University of Ho Chi Minh City, Ho Chi Minh City, Vietnam.Faculty of Mechanical Engineering, Industrial University of Ho Chi Minh City, Ho Chi Minh City, Vietnam.Faculty of Mechanical Engineering, The University of Danang – University of Science and Technology, Da Nang City, Vietnam.Faculty of Mechanical Engineering, The University of Danang – University of Science and Technology, Da Nang City, Vietnam.In this paper, a numerical and experimental investigation of geometrical parameters of the blade for plastic bottle shredder was performed based on the Taguchi method in combination with a response surface method (RSM). Nowadays, plastic waste has become a major threat to the environment. Shredding, in which plastic waste is shredded into small bits, ready for transportation and further processing, is a crucial step in plastic recycling. Although many studies on plastic shredders were performed, there was still a need for more researches on the optimization of shredder blades. Hence, a numerical analysis was carried out to study the influences of the relevant geometrical parameters. Next, a two-step optimization process combining the Taguchi method and the RSM was utilized to define optimal parameters. The simulation results clearly confirmed that the current technique can triumph over the limitation of the Taguchi method, originated from a discrete optimization nature. The optimal blade was then fabricated and experimented, showing lower wear via measurement by an ICamScope® microscope. Hence, it can be clearly inferred from this investigation that the current optimization method is a simple, sufficient tool to be applied in such a traditional process without using any complicated algorithms or expensive software.https://journals.pan.pl/Content/120532/PDF/AME_2021_138392.pdfplastic wasteshredder bladetwo-step optimizationtaguchi methodresponse surface method |
spellingShingle | Trieu Khoa Nguyen Minh Quang Chau The-Can Do Anh-Duc Pham Characterization of geometrical parameters of plastic bottle shredder blade utilizing a two-step optimization method Archive of Mechanical Engineering plastic waste shredder blade two-step optimization taguchi method response surface method |
title | Characterization of geometrical parameters of plastic bottle shredder blade utilizing a two-step optimization method |
title_full | Characterization of geometrical parameters of plastic bottle shredder blade utilizing a two-step optimization method |
title_fullStr | Characterization of geometrical parameters of plastic bottle shredder blade utilizing a two-step optimization method |
title_full_unstemmed | Characterization of geometrical parameters of plastic bottle shredder blade utilizing a two-step optimization method |
title_short | Characterization of geometrical parameters of plastic bottle shredder blade utilizing a two-step optimization method |
title_sort | characterization of geometrical parameters of plastic bottle shredder blade utilizing a two step optimization method |
topic | plastic waste shredder blade two-step optimization taguchi method response surface method |
url | https://journals.pan.pl/Content/120532/PDF/AME_2021_138392.pdf |
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