The tolerance balancing optimization with multiple constraints on the form and function of the discrete functional surface
Abstract The working performance of the discrete functional surface is affected by the surface form. Both the surface form and the geometric function should be considered in tolerance design. However, the tolerance of different parts has different influence on the geometric function and surface form...
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-85755-z |
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| author | Chuanyuan Zhou Xiaomei Guo Xiaoxiao Wei |
| author_facet | Chuanyuan Zhou Xiaomei Guo Xiaoxiao Wei |
| author_sort | Chuanyuan Zhou |
| collection | DOAJ |
| description | Abstract The working performance of the discrete functional surface is affected by the surface form. Both the surface form and the geometric function should be considered in tolerance design. However, the tolerance of different parts has different influence on the geometric function and surface form. This fact makes the tolerance optimization method focusing only on the geometric function requirements unreasonable for the discrete functional surface. In this regard, the tolerance balancing optimization with multiple constraints on the form and function is proposed. The crucial tolerances that significantly affect the surface form and geometric function of the discrete functional surface are extracted, which reduces the number of tolerances to be optimized. The tolerance optimization model with the penalty function considering the multiple constraints on the form and function is established. The tolerance contribution is incorporated into the nonlinear inertial weight particle swarm algorithm. By balancing the influence of tolerance on geometric function and surface form, and the extent of the tolerance optimization, the part tolerances that meet the requirements of geometric function and surface form are solved and the tolerance balancing optimization is achieved. |
| format | Article |
| id | doaj-art-3a50bd68013e489481702c61ab71c4ba |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-3a50bd68013e489481702c61ab71c4ba2025-01-12T12:19:32ZengNature PortfolioScientific Reports2045-23222025-01-0115111410.1038/s41598-025-85755-zThe tolerance balancing optimization with multiple constraints on the form and function of the discrete functional surfaceChuanyuan Zhou0Xiaomei Guo1Xiaoxiao Wei2Zhejiang University of Water Resources and Electric PowerZhejiang University of Water Resources and Electric PowerZhejiang University of Water Resources and Electric PowerAbstract The working performance of the discrete functional surface is affected by the surface form. Both the surface form and the geometric function should be considered in tolerance design. However, the tolerance of different parts has different influence on the geometric function and surface form. This fact makes the tolerance optimization method focusing only on the geometric function requirements unreasonable for the discrete functional surface. In this regard, the tolerance balancing optimization with multiple constraints on the form and function is proposed. The crucial tolerances that significantly affect the surface form and geometric function of the discrete functional surface are extracted, which reduces the number of tolerances to be optimized. The tolerance optimization model with the penalty function considering the multiple constraints on the form and function is established. The tolerance contribution is incorporated into the nonlinear inertial weight particle swarm algorithm. By balancing the influence of tolerance on geometric function and surface form, and the extent of the tolerance optimization, the part tolerances that meet the requirements of geometric function and surface form are solved and the tolerance balancing optimization is achieved.https://doi.org/10.1038/s41598-025-85755-zTolerance optimizationGray relational analysisSensitivity analysisTolerance contributionMultiple constraintsParticle swarm optimization |
| spellingShingle | Chuanyuan Zhou Xiaomei Guo Xiaoxiao Wei The tolerance balancing optimization with multiple constraints on the form and function of the discrete functional surface Scientific Reports Tolerance optimization Gray relational analysis Sensitivity analysis Tolerance contribution Multiple constraints Particle swarm optimization |
| title | The tolerance balancing optimization with multiple constraints on the form and function of the discrete functional surface |
| title_full | The tolerance balancing optimization with multiple constraints on the form and function of the discrete functional surface |
| title_fullStr | The tolerance balancing optimization with multiple constraints on the form and function of the discrete functional surface |
| title_full_unstemmed | The tolerance balancing optimization with multiple constraints on the form and function of the discrete functional surface |
| title_short | The tolerance balancing optimization with multiple constraints on the form and function of the discrete functional surface |
| title_sort | tolerance balancing optimization with multiple constraints on the form and function of the discrete functional surface |
| topic | Tolerance optimization Gray relational analysis Sensitivity analysis Tolerance contribution Multiple constraints Particle swarm optimization |
| url | https://doi.org/10.1038/s41598-025-85755-z |
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