Optimization and Design of Hammerheads and Fenders on Scrap Metal Shredders Based on Improved Genetic Algorithm
Dynamic unbalance force is an important factor affecting the service life of scrap metal shredders (SMSs) as the product of mass error. Due to the complexity of hammerheads arrangement, it is difficult to take all the parts of the hammerhead into account in the traditional methods. A novel optimizat...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2021/1196299 |
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| _version_ | 1832563205334892544 |
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| author | He Tian Guoqiang Wang Kangkang Sun Zeren Chen Chuliang Yan Da Cui |
| author_facet | He Tian Guoqiang Wang Kangkang Sun Zeren Chen Chuliang Yan Da Cui |
| author_sort | He Tian |
| collection | DOAJ |
| description | Dynamic unbalance force is an important factor affecting the service life of scrap metal shredders (SMSs) as the product of mass error. Due to the complexity of hammerheads arrangement, it is difficult to take all the parts of the hammerhead into account in the traditional methods. A novel optimization algorithm combining genetic algorithm and simulated annealing algorithm is proposed to improve the dynamic balance of scrap metal shredders. The optimization of hammerheads and fenders on SMS in this paper is considered as a multiple traveling salesman problem (MTSP), which is a kind of NP-hard problem. To solve this problem, an improved genetic algorithm (IGA) combined with the global optimization characteristics of genetic algorithm (GA) and the local optimal solution of simulated annealing algorithm (SA) is proposed in this paper, which adopts SA in the process of selecting subpopulations. The optimization results show that the resultant force of the shredder central shaft by using IGA is less than the traditional metaheuristic algorithm, which greatly improves the dynamic balance of the SMS. Validated via ADAMS simulation, the results are in good agreement with the theoretical optimization analysis. |
| format | Article |
| id | doaj-art-21963a00bd8c4c218548bbefe564c0a6 |
| institution | Kabale University |
| issn | 1875-9203 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-21963a00bd8c4c218548bbefe564c0a62025-02-03T01:20:38ZengWileyShock and Vibration1875-92032021-01-01202110.1155/2021/1196299Optimization and Design of Hammerheads and Fenders on Scrap Metal Shredders Based on Improved Genetic AlgorithmHe Tian0Guoqiang Wang1Kangkang Sun2Zeren Chen3Chuliang Yan4Da Cui5School of Mechanical and Aerospace EngineeringSchool of Mechanical and Aerospace EngineeringSchool of Mechanical and Aerospace EngineeringSchool of Mechanical and Aerospace EngineeringSchool of Mechanical and Aerospace EngineeringSchool of Mechanical and Aerospace EngineeringDynamic unbalance force is an important factor affecting the service life of scrap metal shredders (SMSs) as the product of mass error. Due to the complexity of hammerheads arrangement, it is difficult to take all the parts of the hammerhead into account in the traditional methods. A novel optimization algorithm combining genetic algorithm and simulated annealing algorithm is proposed to improve the dynamic balance of scrap metal shredders. The optimization of hammerheads and fenders on SMS in this paper is considered as a multiple traveling salesman problem (MTSP), which is a kind of NP-hard problem. To solve this problem, an improved genetic algorithm (IGA) combined with the global optimization characteristics of genetic algorithm (GA) and the local optimal solution of simulated annealing algorithm (SA) is proposed in this paper, which adopts SA in the process of selecting subpopulations. The optimization results show that the resultant force of the shredder central shaft by using IGA is less than the traditional metaheuristic algorithm, which greatly improves the dynamic balance of the SMS. Validated via ADAMS simulation, the results are in good agreement with the theoretical optimization analysis.http://dx.doi.org/10.1155/2021/1196299 |
| spellingShingle | He Tian Guoqiang Wang Kangkang Sun Zeren Chen Chuliang Yan Da Cui Optimization and Design of Hammerheads and Fenders on Scrap Metal Shredders Based on Improved Genetic Algorithm Shock and Vibration |
| title | Optimization and Design of Hammerheads and Fenders on Scrap Metal Shredders Based on Improved Genetic Algorithm |
| title_full | Optimization and Design of Hammerheads and Fenders on Scrap Metal Shredders Based on Improved Genetic Algorithm |
| title_fullStr | Optimization and Design of Hammerheads and Fenders on Scrap Metal Shredders Based on Improved Genetic Algorithm |
| title_full_unstemmed | Optimization and Design of Hammerheads and Fenders on Scrap Metal Shredders Based on Improved Genetic Algorithm |
| title_short | Optimization and Design of Hammerheads and Fenders on Scrap Metal Shredders Based on Improved Genetic Algorithm |
| title_sort | optimization and design of hammerheads and fenders on scrap metal shredders based on improved genetic algorithm |
| url | http://dx.doi.org/10.1155/2021/1196299 |
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