Optimal Design for Compliant Mechanism Flexure Hinges: Bridge-Type
Compliant mechanisms’ design aims to create a larger workspace and simple structural shapes because these mechanical systems usually have small dimensions, reduced friction, and less bending. From that request, we designed optimal bridge-type compliant mechanism flexure hinges with a high magnificat...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-10-01
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| Series: | Micromachines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-666X/12/11/1304 |
| _version_ | 1797509319617413120 |
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| author | Chia-Nan Wang Fu-Chiang Yang Van Thanh Tien Nguyen Quoc Manh Nguyen Ngoc Thai Huynh Thanh Thuong Huynh |
| author_facet | Chia-Nan Wang Fu-Chiang Yang Van Thanh Tien Nguyen Quoc Manh Nguyen Ngoc Thai Huynh Thanh Thuong Huynh |
| author_sort | Chia-Nan Wang |
| collection | DOAJ |
| description | Compliant mechanisms’ design aims to create a larger workspace and simple structural shapes because these mechanical systems usually have small dimensions, reduced friction, and less bending. From that request, we designed optimal bridge-type compliant mechanism flexure hinges with a high magnification ratio, low stress by using a flexure joint, and especially no friction and no bending. This joint was designed with optimal dimensions for the studied mechanism by using the method of grey relational analysis (GRA), which is based on the Taguchi method (TM), and finite element analysis (FEA). Grey relational grade (GRG) has been estimated by an artificial neural network (ANN). The optimal values were in good agreement with the predicted value of the Taguchi method and regression analysis. The finite element analysis, signal-to-noise analysis, surface plot, and analysis of variance demonstrated that the design dimensions significantly affected the equivalent stress and displacement. The optimal values of displacement were also verified by the experiment. The outcomes were in good agreement with a deviation lower than 6%. Specifically, the displacement amplification ratio was obtained as 65.36 times compared with initial design. |
| first_indexed | 2024-03-10T05:16:02Z |
| format | Article |
| id | doaj.art-a87ca0b28cc1402d98af46424a9e1484 |
| institution | Directory Open Access Journal |
| issn | 2072-666X |
| language | English |
| last_indexed | 2024-03-10T05:16:02Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Micromachines |
| spelling | doaj.art-a87ca0b28cc1402d98af46424a9e14842023-11-23T00:25:30ZengMDPI AGMicromachines2072-666X2021-10-011211130410.3390/mi12111304Optimal Design for Compliant Mechanism Flexure Hinges: Bridge-TypeChia-Nan Wang0Fu-Chiang Yang1Van Thanh Tien Nguyen2Quoc Manh Nguyen3Ngoc Thai Huynh4Thanh Thuong Huynh5Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, TaiwanDepartment of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, TaiwanDepartment of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, TaiwanFaculty of Mechanical Engineering, Hung Yen University of Technology and Education, Hung Yen 16000, VietnamIndustrial University of Ho Chi Minh City, Nguyen Van Bao Street, Ward 4, Go Vap District, Ho Chi Minh City 70000, VietnamDepartment of Mechanical Engineering, Campus II, Can Tho University, Can Tho 94000, VietnamCompliant mechanisms’ design aims to create a larger workspace and simple structural shapes because these mechanical systems usually have small dimensions, reduced friction, and less bending. From that request, we designed optimal bridge-type compliant mechanism flexure hinges with a high magnification ratio, low stress by using a flexure joint, and especially no friction and no bending. This joint was designed with optimal dimensions for the studied mechanism by using the method of grey relational analysis (GRA), which is based on the Taguchi method (TM), and finite element analysis (FEA). Grey relational grade (GRG) has been estimated by an artificial neural network (ANN). The optimal values were in good agreement with the predicted value of the Taguchi method and regression analysis. The finite element analysis, signal-to-noise analysis, surface plot, and analysis of variance demonstrated that the design dimensions significantly affected the equivalent stress and displacement. The optimal values of displacement were also verified by the experiment. The outcomes were in good agreement with a deviation lower than 6%. Specifically, the displacement amplification ratio was obtained as 65.36 times compared with initial design.https://www.mdpi.com/2072-666X/12/11/1304optimization designcompliant mechanismgrey-based Taguchi methodartificial neural network |
| spellingShingle | Chia-Nan Wang Fu-Chiang Yang Van Thanh Tien Nguyen Quoc Manh Nguyen Ngoc Thai Huynh Thanh Thuong Huynh Optimal Design for Compliant Mechanism Flexure Hinges: Bridge-Type Micromachines optimization design compliant mechanism grey-based Taguchi method artificial neural network |
| title | Optimal Design for Compliant Mechanism Flexure Hinges: Bridge-Type |
| title_full | Optimal Design for Compliant Mechanism Flexure Hinges: Bridge-Type |
| title_fullStr | Optimal Design for Compliant Mechanism Flexure Hinges: Bridge-Type |
| title_full_unstemmed | Optimal Design for Compliant Mechanism Flexure Hinges: Bridge-Type |
| title_short | Optimal Design for Compliant Mechanism Flexure Hinges: Bridge-Type |
| title_sort | optimal design for compliant mechanism flexure hinges bridge type |
| topic | optimization design compliant mechanism grey-based Taguchi method artificial neural network |
| url | https://www.mdpi.com/2072-666X/12/11/1304 |
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