Optimization of Fixture Number in Large Thin-Walled Parts Assembly Based on IPSO
Abstract There are lots of researches on fixture layout optimization for large thin-walled parts. Current researches focus on the positioning problem, i.e., optimizing the positions of a constant number of fixtures. However, how to determine the number of fixtures is ignored. In most cases, the numb...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2024-01-01
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| Series: | Chinese Journal of Mechanical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s10033-023-00972-9 |
| _version_ | 1797363588340383744 |
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| author | Changhui Liu Jing Wang Ying Zheng Ke Jin Jianbo Yu Jianfeng Liu |
| author_facet | Changhui Liu Jing Wang Ying Zheng Ke Jin Jianbo Yu Jianfeng Liu |
| author_sort | Changhui Liu |
| collection | DOAJ |
| description | Abstract There are lots of researches on fixture layout optimization for large thin-walled parts. Current researches focus on the positioning problem, i.e., optimizing the positions of a constant number of fixtures. However, how to determine the number of fixtures is ignored. In most cases, the number of fixtures located on large thin-walled parts is determined based on engineering experience, which leads to huge fixture number and extra waste. Therefore, this paper constructs an optimization model to minimize the number of fixtures. The constraints are set in the optimization model to ensure that the part deformation is within the surface profile tolerance. In addition, the assembly gap between two parts is also controlled. To conduct the optimization, this paper develops an improved particle swarm optimization (IPSO) algorithm by integrating the shrinkage factor and adaptive inertia weight. In the algorithm, particles are encoded according to the fixture position. Each dimension of the particle is assigned to a sub-region by constraining the optional position range of each fixture to improve the optimization efficiency. Finally, a case study on ship curved panel assembly is provided to prove that our method can optimize the number of fixtures while meeting the assembly quality requirements. This research proposes a method to optimize the number of fixtures, which can reduce the number of fixtures and achieve deformation control at the same time. |
| first_indexed | 2024-03-08T16:22:19Z |
| format | Article |
| id | doaj.art-6016e2a1b9b64847a82838191b21230e |
| institution | Directory Open Access Journal |
| issn | 2192-8258 |
| language | English |
| last_indexed | 2024-03-08T16:22:19Z |
| publishDate | 2024-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Chinese Journal of Mechanical Engineering |
| spelling | doaj.art-6016e2a1b9b64847a82838191b21230e2024-01-07T12:14:41ZengSpringerOpenChinese Journal of Mechanical Engineering2192-82582024-01-0137111510.1186/s10033-023-00972-9Optimization of Fixture Number in Large Thin-Walled Parts Assembly Based on IPSOChanghui Liu0Jing Wang1Ying Zheng2Ke Jin3Jianbo Yu4Jianfeng Liu5School of Mechanical Engineering, Tongji UniversitySchool of Mechanical Engineering, Tongji UniversitySchool of Mechanical Engineering, Tongji UniversitySchool of Mechanical Engineering, Tongji UniversitySchool of Mechanical Engineering, Tongji UniversityShanghai Waigaoqiao Shipbuilding Co., Ltd.Abstract There are lots of researches on fixture layout optimization for large thin-walled parts. Current researches focus on the positioning problem, i.e., optimizing the positions of a constant number of fixtures. However, how to determine the number of fixtures is ignored. In most cases, the number of fixtures located on large thin-walled parts is determined based on engineering experience, which leads to huge fixture number and extra waste. Therefore, this paper constructs an optimization model to minimize the number of fixtures. The constraints are set in the optimization model to ensure that the part deformation is within the surface profile tolerance. In addition, the assembly gap between two parts is also controlled. To conduct the optimization, this paper develops an improved particle swarm optimization (IPSO) algorithm by integrating the shrinkage factor and adaptive inertia weight. In the algorithm, particles are encoded according to the fixture position. Each dimension of the particle is assigned to a sub-region by constraining the optional position range of each fixture to improve the optimization efficiency. Finally, a case study on ship curved panel assembly is provided to prove that our method can optimize the number of fixtures while meeting the assembly quality requirements. This research proposes a method to optimize the number of fixtures, which can reduce the number of fixtures and achieve deformation control at the same time.https://doi.org/10.1186/s10033-023-00972-9Assembly qualityLarge thin-walled partsFixture layoutPSOFEM |
| spellingShingle | Changhui Liu Jing Wang Ying Zheng Ke Jin Jianbo Yu Jianfeng Liu Optimization of Fixture Number in Large Thin-Walled Parts Assembly Based on IPSO Chinese Journal of Mechanical Engineering Assembly quality Large thin-walled parts Fixture layout PSO FEM |
| title | Optimization of Fixture Number in Large Thin-Walled Parts Assembly Based on IPSO |
| title_full | Optimization of Fixture Number in Large Thin-Walled Parts Assembly Based on IPSO |
| title_fullStr | Optimization of Fixture Number in Large Thin-Walled Parts Assembly Based on IPSO |
| title_full_unstemmed | Optimization of Fixture Number in Large Thin-Walled Parts Assembly Based on IPSO |
| title_short | Optimization of Fixture Number in Large Thin-Walled Parts Assembly Based on IPSO |
| title_sort | optimization of fixture number in large thin walled parts assembly based on ipso |
| topic | Assembly quality Large thin-walled parts Fixture layout PSO FEM |
| url | https://doi.org/10.1186/s10033-023-00972-9 |
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