Multiobjective Optimization of Roadheader Shovel-Plate Parameters Using Gray Weight and Particle Swarm Optimization
As the working efficiency and life span of the shovel plate of a roadheader directly influence its performance, optimization of the shovel-plate parameters is crucial. For optimizing the shovel-plate parameters, the variations in the loading capacity and shovel grubbing force with respect to the sho...
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9903609/ |
| _version_ | 1797996651365793792 |
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| author | Qiang Li Songyong Liu Mengdi Gao |
| author_facet | Qiang Li Songyong Liu Mengdi Gao |
| author_sort | Qiang Li |
| collection | DOAJ |
| description | As the working efficiency and life span of the shovel plate of a roadheader directly influence its performance, optimization of the shovel-plate parameters is crucial. For optimizing the shovel-plate parameters, the variations in the loading capacity and shovel grubbing force with respect to the shovel-plate parameters are determined in this study. Moreover, the ideal point method and gray weight method are proposed for multiobjective optimization. The gray weights of the loading capacity and shovel resistance are determined by investigating existing molded products and through the gray decision method. Thereafter, the particle swarm optimization (PSO) algorithm is applied for multiobjective optimization of the shovel-plate parameters. Considering the EBZ230-type roadheader shovel plate as an example, parameter optimization through multiobjective optimization decreases the mass of the shovel plate by 14.3% and the shovel resistance by 7.3%, while increasing the loading capacity by 1.4%. To demonstrate the influence of optimization, coal and rock excavation with a shovel is simulated using the optimized parameters in an ANSYS-Workbench environment. The results indicate that the maximum stress at the front of the shovel plate decreases by 22.1%, minimum fatigue life increases by 139.6%, and minimum safety factor increases by 30.3%. The obtained results establish that, in multiobjective optimization based on PSO, the ideal point method and gray weight method optimize the shovel-plate parameters. This optimization can provide a theoretical basis and reference values for the design of roadheader shovel plates and can be applied for multiobjective optimization in engineering as well. |
| first_indexed | 2024-04-11T10:19:45Z |
| format | Article |
| id | doaj.art-aec18680b77c45c5b862a13953a21d45 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-11T10:19:45Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-aec18680b77c45c5b862a13953a21d452022-12-22T04:29:47ZengIEEEIEEE Access2169-35362022-01-011010455510456610.1109/ACCESS.2022.32101659903609Multiobjective Optimization of Roadheader Shovel-Plate Parameters Using Gray Weight and Particle Swarm OptimizationQiang Li0https://orcid.org/0000-0002-6984-2084Songyong Liu1Mengdi Gao2https://orcid.org/0000-0001-5999-3578School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, ChinaSchool of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, ChinaSchool of Mechanical and Electronic Engineering, Suzhou University, Suzhou, ChinaAs the working efficiency and life span of the shovel plate of a roadheader directly influence its performance, optimization of the shovel-plate parameters is crucial. For optimizing the shovel-plate parameters, the variations in the loading capacity and shovel grubbing force with respect to the shovel-plate parameters are determined in this study. Moreover, the ideal point method and gray weight method are proposed for multiobjective optimization. The gray weights of the loading capacity and shovel resistance are determined by investigating existing molded products and through the gray decision method. Thereafter, the particle swarm optimization (PSO) algorithm is applied for multiobjective optimization of the shovel-plate parameters. Considering the EBZ230-type roadheader shovel plate as an example, parameter optimization through multiobjective optimization decreases the mass of the shovel plate by 14.3% and the shovel resistance by 7.3%, while increasing the loading capacity by 1.4%. To demonstrate the influence of optimization, coal and rock excavation with a shovel is simulated using the optimized parameters in an ANSYS-Workbench environment. The results indicate that the maximum stress at the front of the shovel plate decreases by 22.1%, minimum fatigue life increases by 139.6%, and minimum safety factor increases by 30.3%. The obtained results establish that, in multiobjective optimization based on PSO, the ideal point method and gray weight method optimize the shovel-plate parameters. This optimization can provide a theoretical basis and reference values for the design of roadheader shovel plates and can be applied for multiobjective optimization in engineering as well.https://ieeexplore.ieee.org/document/9903609/Multiobjective optimizationparticle swarm algorithmroadheadershovel plate |
| spellingShingle | Qiang Li Songyong Liu Mengdi Gao Multiobjective Optimization of Roadheader Shovel-Plate Parameters Using Gray Weight and Particle Swarm Optimization IEEE Access Multiobjective optimization particle swarm algorithm roadheader shovel plate |
| title | Multiobjective Optimization of Roadheader Shovel-Plate Parameters Using Gray Weight and Particle Swarm Optimization |
| title_full | Multiobjective Optimization of Roadheader Shovel-Plate Parameters Using Gray Weight and Particle Swarm Optimization |
| title_fullStr | Multiobjective Optimization of Roadheader Shovel-Plate Parameters Using Gray Weight and Particle Swarm Optimization |
| title_full_unstemmed | Multiobjective Optimization of Roadheader Shovel-Plate Parameters Using Gray Weight and Particle Swarm Optimization |
| title_short | Multiobjective Optimization of Roadheader Shovel-Plate Parameters Using Gray Weight and Particle Swarm Optimization |
| title_sort | multiobjective optimization of roadheader shovel plate parameters using gray weight and particle swarm optimization |
| topic | Multiobjective optimization particle swarm algorithm roadheader shovel plate |
| url | https://ieeexplore.ieee.org/document/9903609/ |
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