Multi-Objective Optimization on Dynamic Response of Solenoid Switching Valve Article Swipe
Ming Qiu
,
Jun Hong
,
Jing Yao
,
Pei Wang
,
Qiyin Lin
,
Bo Ning
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1186/s10033-025-01279-7
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1186/s10033-025-01279-7
The solenoid switching valve (SSV) is the key control component of heavy equipment such as continuous casting machines. However, the incompatibility of structural parameters increases the opening and closing time of the SSV. Therefore, this study proposes an optimized design method for an SSV to improve its dynamic performance. First, a multi-physics field-coupling model of the SSV is built, and the effects of different structural parameters on the electromagnetic characteristics are analyzed. After identifying the key influencing parameters, second-order response surface models are established to efficiently predict the opening and closing time. Subsequently, based on the non-dominated sorting genetic algorithm II (NSGA-II), multi-objective optimization is applied to obtain the Pareto optimal solution of the structural parameters under the double-voltage driving strategy. The structure of the solenoid and valve as well as the dynamic characteristics of the valve are improved. Compared with those before optimization, the optimization results show that the opening and closing time of the optimized SSV are reduced by 24.38% and 51.8%, respectively, and the volume is reduced by 19.7%. The research results and the influence of the solenoid structural parameters on the electromagnetic force provide significant guidance for the design of this type of valve.
Related Topics
Concepts
Solenoid
Solenoid valve
Sorting
Closing (real estate)
Multi-objective optimization
Genetic algorithm
Control theory (sociology)
Valve actuator
Engineering
Computer science
Automotive engineering
Mechanical engineering
Mathematical optimization
Actuator
Algorithm
Mathematics
Control (management)
Electrical engineering
Political science
Artificial intelligence
Law
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1186/s10033-025-01279-7
- OA Status
- diamond
- References
- 18
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4413078095
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4413078095Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1186/s10033-025-01279-7Digital Object Identifier
- Title
-
Multi-Objective Optimization on Dynamic Response of Solenoid Switching ValveWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-07-17Full publication date if available
- Authors
-
Ming Qiu, Jun Hong, Jing Yao, Pei Wang, Qiyin Lin, Bo NingList of authors in order
- Landing page
-
https://doi.org/10.1186/s10033-025-01279-7Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1186/s10033-025-01279-7Direct OA link when available
- Concepts
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Solenoid, Solenoid valve, Sorting, Closing (real estate), Multi-objective optimization, Genetic algorithm, Control theory (sociology), Valve actuator, Engineering, Computer science, Automotive engineering, Mechanical engineering, Mathematical optimization, Actuator, Algorithm, Mathematics, Control (management), Electrical engineering, Political science, Artificial intelligence, LawTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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18Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.key | 8, 76 |
| abstract_inverted_index.the | 7, 20, 26, 32, 56, 61, 68, 75, 88, 96, 109, 114, 118, 125, 132, 136, 145, 150, 156, 167, 177, 180, 185, 192 |
| abstract_inverted_index.SSV. | 33 |
| abstract_inverted_index.show | 148 |
| abstract_inverted_index.such | 14 |
| abstract_inverted_index.that | 149 |
| abstract_inverted_index.this | 35, 195 |
| abstract_inverted_index.time | 30, 154 |
| abstract_inverted_index.type | 196 |
| abstract_inverted_index.well | 130 |
| abstract_inverted_index.with | 141 |
| abstract_inverted_index.(SSV) | 5 |
| abstract_inverted_index.After | 73 |
| abstract_inverted_index.based | 94 |
| abstract_inverted_index.force | 187 |
| abstract_inverted_index.heavy | 12 |
| abstract_inverted_index.model | 54 |
| abstract_inverted_index.study | 36 |
| abstract_inverted_index.those | 142 |
| abstract_inverted_index.time. | 92 |
| abstract_inverted_index.under | 117 |
| abstract_inverted_index.valve | 4, 128, 137 |
| abstract_inverted_index.19.7%. | 172 |
| abstract_inverted_index.24.38% | 162 |
| abstract_inverted_index.51.8%, | 164 |
| abstract_inverted_index.First, | 50 |
| abstract_inverted_index.Pareto | 110 |
| abstract_inverted_index.before | 143 |
| abstract_inverted_index.built, | 59 |
| abstract_inverted_index.design | 40, 193 |
| abstract_inverted_index.method | 41 |
| abstract_inverted_index.models | 82 |
| abstract_inverted_index.obtain | 108 |
| abstract_inverted_index.valve. | 198 |
| abstract_inverted_index.volume | 168 |
| abstract_inverted_index.applied | 106 |
| abstract_inverted_index.casting | 17 |
| abstract_inverted_index.closing | 29, 91, 153 |
| abstract_inverted_index.control | 9 |
| abstract_inverted_index.driving | 120 |
| abstract_inverted_index.dynamic | 48, 133 |
| abstract_inverted_index.effects | 62 |
| abstract_inverted_index.genetic | 99 |
| abstract_inverted_index.improve | 46 |
| abstract_inverted_index.opening | 27, 89, 151 |
| abstract_inverted_index.optimal | 111 |
| abstract_inverted_index.predict | 87 |
| abstract_inverted_index.provide | 188 |
| abstract_inverted_index.reduced | 160, 170 |
| abstract_inverted_index.results | 147, 175 |
| abstract_inverted_index.sorting | 98 |
| abstract_inverted_index.surface | 81 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Compared | 140 |
| abstract_inverted_index.However, | 19 |
| abstract_inverted_index.guidance | 190 |
| abstract_inverted_index.proposes | 37 |
| abstract_inverted_index.research | 174 |
| abstract_inverted_index.response | 80 |
| abstract_inverted_index.solenoid | 2, 126, 181 |
| abstract_inverted_index.solution | 112 |
| abstract_inverted_index.algorithm | 100 |
| abstract_inverted_index.analyzed. | 72 |
| abstract_inverted_index.component | 10 |
| abstract_inverted_index.different | 64 |
| abstract_inverted_index.equipment | 13 |
| abstract_inverted_index.improved. | 139 |
| abstract_inverted_index.increases | 25 |
| abstract_inverted_index.influence | 178 |
| abstract_inverted_index.machines. | 18 |
| abstract_inverted_index.optimized | 39, 157 |
| abstract_inverted_index.strategy. | 121 |
| abstract_inverted_index.structure | 123 |
| abstract_inverted_index.switching | 3 |
| abstract_inverted_index.(NSGA-II), | 102 |
| abstract_inverted_index.Therefore, | 34 |
| abstract_inverted_index.continuous | 16 |
| abstract_inverted_index.parameters | 24, 66, 116, 183 |
| abstract_inverted_index.structural | 23, 65, 115, 182 |
| abstract_inverted_index.efficiently | 86 |
| abstract_inverted_index.established | 84 |
| abstract_inverted_index.identifying | 74 |
| abstract_inverted_index.influencing | 77 |
| abstract_inverted_index.parameters, | 78 |
| abstract_inverted_index.significant | 189 |
| abstract_inverted_index.optimization | 104, 146 |
| abstract_inverted_index.performance. | 49 |
| abstract_inverted_index.second-order | 79 |
| abstract_inverted_index.Subsequently, | 93 |
| abstract_inverted_index.multi-physics | 52 |
| abstract_inverted_index.non-dominated | 97 |
| abstract_inverted_index.optimization, | 144 |
| abstract_inverted_index.respectively, | 165 |
| abstract_inverted_index.double-voltage | 119 |
| abstract_inverted_index.field-coupling | 53 |
| abstract_inverted_index.characteristics | 70, 134 |
| abstract_inverted_index.electromagnetic | 69, 186 |
| abstract_inverted_index.incompatibility | 21 |
| abstract_inverted_index.multi-objective | 103 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 6 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.8100000023841858 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.36762754 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |