Topology Optimization and Fatigue Life Estimation of Sustainable Medical Waste Shredder Blade
There is an increased interest in designing cost-effective lightweight components to meet modern design requirements of improving cost and performance efficiency. This paper describes a significant effort to optimize the medical waste shredder blade through weight reduction by increasing material ef...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/10/11/1863 |
| _version_ | 1797492660098826240 |
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| author | Muhammad Muzammil Azad Dohoon Kim Salman Khalid Heung Soo Kim |
| author_facet | Muhammad Muzammil Azad Dohoon Kim Salman Khalid Heung Soo Kim |
| author_sort | Muhammad Muzammil Azad |
| collection | DOAJ |
| description | There is an increased interest in designing cost-effective lightweight components to meet modern design requirements of improving cost and performance efficiency. This paper describes a significant effort to optimize the medical waste shredder blade through weight reduction by increasing material efficiency. The blade computer-aided design (CAD) model was produced through reverse engineering and converted to the finite element (FE) model to characterize von Mises stress and displacement. The obtained stress characteristics were introduced into the FE-SAFE for fatigue analysis. Furthermore, the FE model was analyzed through topological optimization using strain energy as the objective function while implementing the volume constraint. To obtain the optimal volume constraint for the blade model, several 3D numerical test cases were performed at various volume constraints. A significant weight reduction of 24.7% was observed for the 80% volume constraint (VC80). The FE analysis of optimal geometry indicated a 6 MPa decrease in the von Mises and a 14.5% increase in the fatigue life. Therefore, the proposed optimal design method demonstrated to be effective and easy to apply for the topology optimization of the shredder blade and has significantly decreased the structural weight without compromising the structural integrity and robustness. |
| first_indexed | 2024-03-10T01:06:53Z |
| format | Article |
| id | doaj.art-e0b38de4ce7147b3ab72382b2d02fd26 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-10T01:06:53Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-e0b38de4ce7147b3ab72382b2d02fd262023-11-23T14:25:55ZengMDPI AGMathematics2227-73902022-05-011011186310.3390/math10111863Topology Optimization and Fatigue Life Estimation of Sustainable Medical Waste Shredder BladeMuhammad Muzammil Azad0Dohoon Kim1Salman Khalid2Heung Soo Kim3Department of Mechanical, Robotics and Energy Engineering, Dongguk University-Seoul, 30 Pildong-ro 1-gil, Jung-gu, Seoul 100-715, KoreaDepartment of Mechanical, Robotics and Energy Engineering, Dongguk University-Seoul, 30 Pildong-ro 1-gil, Jung-gu, Seoul 100-715, KoreaDepartment of Mechanical, Robotics and Energy Engineering, Dongguk University-Seoul, 30 Pildong-ro 1-gil, Jung-gu, Seoul 100-715, KoreaDepartment of Mechanical, Robotics and Energy Engineering, Dongguk University-Seoul, 30 Pildong-ro 1-gil, Jung-gu, Seoul 100-715, KoreaThere is an increased interest in designing cost-effective lightweight components to meet modern design requirements of improving cost and performance efficiency. This paper describes a significant effort to optimize the medical waste shredder blade through weight reduction by increasing material efficiency. The blade computer-aided design (CAD) model was produced through reverse engineering and converted to the finite element (FE) model to characterize von Mises stress and displacement. The obtained stress characteristics were introduced into the FE-SAFE for fatigue analysis. Furthermore, the FE model was analyzed through topological optimization using strain energy as the objective function while implementing the volume constraint. To obtain the optimal volume constraint for the blade model, several 3D numerical test cases were performed at various volume constraints. A significant weight reduction of 24.7% was observed for the 80% volume constraint (VC80). The FE analysis of optimal geometry indicated a 6 MPa decrease in the von Mises and a 14.5% increase in the fatigue life. Therefore, the proposed optimal design method demonstrated to be effective and easy to apply for the topology optimization of the shredder blade and has significantly decreased the structural weight without compromising the structural integrity and robustness.https://www.mdpi.com/2227-7390/10/11/1863topology optimizationgeometric optimizationsustainable designshredder blademedical wastefatigue life |
| spellingShingle | Muhammad Muzammil Azad Dohoon Kim Salman Khalid Heung Soo Kim Topology Optimization and Fatigue Life Estimation of Sustainable Medical Waste Shredder Blade Mathematics topology optimization geometric optimization sustainable design shredder blade medical waste fatigue life |
| title | Topology Optimization and Fatigue Life Estimation of Sustainable Medical Waste Shredder Blade |
| title_full | Topology Optimization and Fatigue Life Estimation of Sustainable Medical Waste Shredder Blade |
| title_fullStr | Topology Optimization and Fatigue Life Estimation of Sustainable Medical Waste Shredder Blade |
| title_full_unstemmed | Topology Optimization and Fatigue Life Estimation of Sustainable Medical Waste Shredder Blade |
| title_short | Topology Optimization and Fatigue Life Estimation of Sustainable Medical Waste Shredder Blade |
| title_sort | topology optimization and fatigue life estimation of sustainable medical waste shredder blade |
| topic | topology optimization geometric optimization sustainable design shredder blade medical waste fatigue life |
| url | https://www.mdpi.com/2227-7390/10/11/1863 |
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