Piston-Seals Friction Modeling Using a Modified Maxwell Slip Formation and Genetic Identification Algorithm
Improving spontaneity, shifting control, and efficiency are the main goals of actuators for hydraulic automated transmissions. Friction losses of piston-seals play an essential role in achieving these goals. Therefore, modeling the complex friction behavior of piston seals leads to a better understa...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9965401/ |
| _version_ | 1811185091537272832 |
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| author | Rashad Mustafa Ali Abdo Jamal Siam Ferit Kucukay |
| author_facet | Rashad Mustafa Ali Abdo Jamal Siam Ferit Kucukay |
| author_sort | Rashad Mustafa |
| collection | DOAJ |
| description | Improving spontaneity, shifting control, and efficiency are the main goals of actuators for hydraulic automated transmissions. Friction losses of piston-seals play an essential role in achieving these goals. Therefore, modeling the complex friction behavior of piston seals leads to a better understanding of the determinant factors of energy losses and, consequently, the realization of more efficient transmission actuators. This paper proposes a piston-seal friction model based on the Generalized Maxwell-Slip model. The proposed model introduces an additional hydraulic-pressure dependency that emulates the influence of cylinder-pressure on the displacement variable while accounting for various piston-seal structures. A Genetic Algorithm is also applied to identify and optimize the parameters of the proposed friction model. Simulations with O-Ring, D-Ring, and Bonded Piston seals were developed to show the validity of the proposed model in practical scenarios. The results were also compared with the original Generalized Maxwell Slip friction model to show the superiority of the proposed model in representing the experimental data. |
| first_indexed | 2024-04-11T13:24:50Z |
| format | Article |
| id | doaj.art-7de83d68efdb45f7baef59c0fa151bb1 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-11T13:24:50Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-7de83d68efdb45f7baef59c0fa151bb12022-12-22T04:22:07ZengIEEEIEEE Access2169-35362022-01-011012651612652410.1109/ACCESS.2022.32254129965401Piston-Seals Friction Modeling Using a Modified Maxwell Slip Formation and Genetic Identification AlgorithmRashad Mustafa0https://orcid.org/0000-0002-1900-4242Ali Abdo1https://orcid.org/0000-0001-6603-2126Jamal Siam2https://orcid.org/0000-0002-5962-8279Ferit Kucukay3Department of Mechanical and Mechatronics Engineering, Birzeit University, Birzeit, PalestineDepartment of Electrical and Computer Engineering, Birzeit University, Birzeit, PalestineInstitute of Automotive Engineering, Technical University of Braunschweig, Braunschweig, GermanyInstitute of Automotive Engineering, Technical University of Braunschweig, Braunschweig, GermanyImproving spontaneity, shifting control, and efficiency are the main goals of actuators for hydraulic automated transmissions. Friction losses of piston-seals play an essential role in achieving these goals. Therefore, modeling the complex friction behavior of piston seals leads to a better understanding of the determinant factors of energy losses and, consequently, the realization of more efficient transmission actuators. This paper proposes a piston-seal friction model based on the Generalized Maxwell-Slip model. The proposed model introduces an additional hydraulic-pressure dependency that emulates the influence of cylinder-pressure on the displacement variable while accounting for various piston-seal structures. A Genetic Algorithm is also applied to identify and optimize the parameters of the proposed friction model. Simulations with O-Ring, D-Ring, and Bonded Piston seals were developed to show the validity of the proposed model in practical scenarios. The results were also compared with the original Generalized Maxwell Slip friction model to show the superiority of the proposed model in representing the experimental data.https://ieeexplore.ieee.org/document/9965401/Friction modelinggeneralized Maxwell modelgenetic algorithm optimizationmodified generalized Maxwell modelpiston sealproportional-integral observer |
| spellingShingle | Rashad Mustafa Ali Abdo Jamal Siam Ferit Kucukay Piston-Seals Friction Modeling Using a Modified Maxwell Slip Formation and Genetic Identification Algorithm IEEE Access Friction modeling generalized Maxwell model genetic algorithm optimization modified generalized Maxwell model piston seal proportional-integral observer |
| title | Piston-Seals Friction Modeling Using a Modified Maxwell Slip Formation and Genetic Identification Algorithm |
| title_full | Piston-Seals Friction Modeling Using a Modified Maxwell Slip Formation and Genetic Identification Algorithm |
| title_fullStr | Piston-Seals Friction Modeling Using a Modified Maxwell Slip Formation and Genetic Identification Algorithm |
| title_full_unstemmed | Piston-Seals Friction Modeling Using a Modified Maxwell Slip Formation and Genetic Identification Algorithm |
| title_short | Piston-Seals Friction Modeling Using a Modified Maxwell Slip Formation and Genetic Identification Algorithm |
| title_sort | piston seals friction modeling using a modified maxwell slip formation and genetic identification algorithm |
| topic | Friction modeling generalized Maxwell model genetic algorithm optimization modified generalized Maxwell model piston seal proportional-integral observer |
| url | https://ieeexplore.ieee.org/document/9965401/ |
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