Vibration Analysis and Optimization of Iron-Core Reactors Based on Fe-Based Soft Magnetic Composite Materials
To effectively reduce the vibration of iron-core reactors, a vibration optimization method considering the magnetostrictive properties of Fe-based soft magnetic composite materials is proposed. First, an improved magnetostrictive model incorporating stress effects is established based on the classic...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11096582/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849245980236447744 |
|---|---|
| author | Yangyang Ma Wenle Song Jie Gao Yang Liu Yilei Shang Weimei Zhao Fuyao Yang |
| author_facet | Yangyang Ma Wenle Song Jie Gao Yang Liu Yilei Shang Weimei Zhao Fuyao Yang |
| author_sort | Yangyang Ma |
| collection | DOAJ |
| description | To effectively reduce the vibration of iron-core reactors, a vibration optimization method considering the magnetostrictive properties of Fe-based soft magnetic composite materials is proposed. First, an improved magnetostrictive model incorporating stress effects is established based on the classical Jiles–Atherton (J-A) model and the quadratic domain rotation theory. The characteristic parameters of the improved model are identified using the particle swarm optimization–simulated annealing (PSO-SA) algorithm, with the identified root mean square error not exceeding 3.5, verifying the model’s accuracy. Then, an electromagnetic-structural coupled simulation model of the iron-core reactor is developed to calculate the magnetic field and vibration distribution. Based on multiphysics simulation and Latin hypercube sampling, combined with sensitivity analysis techniques, the influence of each parameter on vibration is identified, and optimization objectives and variables are hierarchically classified. Finally, response surface methodology (RSM) and Kriging methods are employed for the parameter optimization design of the reactor, yielding the optimal structural parameters under different optimization strategies. The results show that, compared to the initial parameters, the maximum vibration displacement of the iron core is reduced by 13.93% and 24.64% using the RSM and Kriging methods, respectively. Additionally, both core loss and conductor consumption are significantly reduced. Therefore, under the premise of meeting performance requirements, the Kriging optimization method can significantly reduce the vibration displacement of the iron-core reactor, providing valuable guidance for its vibration reduction and optimization. |
| format | Article |
| id | doaj-art-cb30ff0910514a19a1c30bce2fc9124b |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-cb30ff0910514a19a1c30bce2fc9124b2025-08-20T03:58:39ZengIEEEIEEE Access2169-35362025-01-011313259913261010.1109/ACCESS.2025.359272811096582Vibration Analysis and Optimization of Iron-Core Reactors Based on Fe-Based Soft Magnetic Composite MaterialsYangyang Ma0Wenle Song1Jie Gao2https://orcid.org/0009-0009-0236-3060Yang Liu3Yilei Shang4Weimei Zhao5Fuyao Yang6State Grid Changzhou Electric Power Supply Company, Changzhou, Hebei, ChinaState Grid Changzhou Electric Power Supply Company, Changzhou, Hebei, ChinaChina Electric Power Research Institute, Beijing, ChinaChina Electric Power Research Institute, Beijing, ChinaChina Electric Power Research Institute, Beijing, ChinaChina Electric Power Research Institute, Beijing, ChinaChina Electric Power Research Institute, Beijing, ChinaTo effectively reduce the vibration of iron-core reactors, a vibration optimization method considering the magnetostrictive properties of Fe-based soft magnetic composite materials is proposed. First, an improved magnetostrictive model incorporating stress effects is established based on the classical Jiles–Atherton (J-A) model and the quadratic domain rotation theory. The characteristic parameters of the improved model are identified using the particle swarm optimization–simulated annealing (PSO-SA) algorithm, with the identified root mean square error not exceeding 3.5, verifying the model’s accuracy. Then, an electromagnetic-structural coupled simulation model of the iron-core reactor is developed to calculate the magnetic field and vibration distribution. Based on multiphysics simulation and Latin hypercube sampling, combined with sensitivity analysis techniques, the influence of each parameter on vibration is identified, and optimization objectives and variables are hierarchically classified. Finally, response surface methodology (RSM) and Kriging methods are employed for the parameter optimization design of the reactor, yielding the optimal structural parameters under different optimization strategies. The results show that, compared to the initial parameters, the maximum vibration displacement of the iron core is reduced by 13.93% and 24.64% using the RSM and Kriging methods, respectively. Additionally, both core loss and conductor consumption are significantly reduced. Therefore, under the premise of meeting performance requirements, the Kriging optimization method can significantly reduce the vibration displacement of the iron-core reactor, providing valuable guidance for its vibration reduction and optimization.https://ieeexplore.ieee.org/document/11096582/Iron core reactormagnetostrictive modelRSM modelkriging modellayered optimization designvibration optimization |
| spellingShingle | Yangyang Ma Wenle Song Jie Gao Yang Liu Yilei Shang Weimei Zhao Fuyao Yang Vibration Analysis and Optimization of Iron-Core Reactors Based on Fe-Based Soft Magnetic Composite Materials IEEE Access Iron core reactor magnetostrictive model RSM model kriging model layered optimization design vibration optimization |
| title | Vibration Analysis and Optimization of Iron-Core Reactors Based on Fe-Based Soft Magnetic Composite Materials |
| title_full | Vibration Analysis and Optimization of Iron-Core Reactors Based on Fe-Based Soft Magnetic Composite Materials |
| title_fullStr | Vibration Analysis and Optimization of Iron-Core Reactors Based on Fe-Based Soft Magnetic Composite Materials |
| title_full_unstemmed | Vibration Analysis and Optimization of Iron-Core Reactors Based on Fe-Based Soft Magnetic Composite Materials |
| title_short | Vibration Analysis and Optimization of Iron-Core Reactors Based on Fe-Based Soft Magnetic Composite Materials |
| title_sort | vibration analysis and optimization of iron core reactors based on fe based soft magnetic composite materials |
| topic | Iron core reactor magnetostrictive model RSM model kriging model layered optimization design vibration optimization |
| url | https://ieeexplore.ieee.org/document/11096582/ |
| work_keys_str_mv | AT yangyangma vibrationanalysisandoptimizationofironcorereactorsbasedonfebasedsoftmagneticcompositematerials AT wenlesong vibrationanalysisandoptimizationofironcorereactorsbasedonfebasedsoftmagneticcompositematerials AT jiegao vibrationanalysisandoptimizationofironcorereactorsbasedonfebasedsoftmagneticcompositematerials AT yangliu vibrationanalysisandoptimizationofironcorereactorsbasedonfebasedsoftmagneticcompositematerials AT yileishang vibrationanalysisandoptimizationofironcorereactorsbasedonfebasedsoftmagneticcompositematerials AT weimeizhao vibrationanalysisandoptimizationofironcorereactorsbasedonfebasedsoftmagneticcompositematerials AT fuyaoyang vibrationanalysisandoptimizationofironcorereactorsbasedonfebasedsoftmagneticcompositematerials |