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A Method for Joint Optimization of Welding Parameters and Simulation Based on NSGA-Ⅱ
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Zhen Cui1, 2, Lieming Zhang1, 2, Jiwen Guo1, 2, Guodong Sun3, Qianxun Wang1, 2, Yanfang Tian1, 2
Automobile Technology & Material | 2025, (6) : 8 - 14
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Automobile Technology & Material | 2025, (6): 8-14
A Method for Joint Optimization of Welding Parameters and Simulation Based on NSGA-Ⅱ
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Zhen Cui1, 2, Lieming Zhang1, 2, Jiwen Guo1, 2, Guodong Sun3, Qianxun Wang1, 2, Yanfang Tian1, 2
Affiliations
  • 1 Intelligence Integration & Numerical Innovation (Shandong) Technology Co., Ltd., Rizhao 276800
  • 2 Zhejiang Feidi Motors Co., Ltd., Rizhao 276800
  • 3 Shandong Institute of Science and Technology Information, Jinan 276801
Published: 2025-06-20 doi: 10.19710/J.cnki.1003-8817.20250035
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In order to reduce the influence of temperature field, welding residual stress, human factor, etc., on welding quality of structural welded parts, firstly, a three-dimensional model of structural welded parts is established to simulate and analyse welding temperature field, welding residual stress and welding deformation, subsequently, the influence of clamping condition, heat source pattern and welding parameters of structural welded parts on welding deformation and welding residual stress is investigated, simulation and test results are compared, thus identifying the cause of welding deformation and modification method. Finally, welding sequence and welding direction are used as design variables for welding sequence optimization with genetic algorithm, in which the least welding deformation sequence is obtained by simulation with the least welding residual deformation as optimization objective. On the basis of optimizing welding sequence, the clamping position, reverse deformation design method are simulated and optimized respectively, thereby obtaining the process design scheme and the optimal forming accuracy with the least welding deformation.

Welding deformation  /  Heat source  /  Genetic algorithm  /  Welding sequence  /  Reverse deformation
Zhen Cui, Lieming Zhang, Jiwen Guo, Guodong Sun, Qianxun Wang, Yanfang Tian. A Method for Joint Optimization of Welding Parameters and Simulation Based on NSGA-Ⅱ[J]. Automobile Technology & Material, 2025 , (6) : 8 -14 . DOI: 10.19710/J.cnki.1003-8817.20250035
Year 2025 volume Issue 6
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doi: 10.19710/J.cnki.1003-8817.20250035
  • Online Date:2025-11-03
  • Published:2025-06-20
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    1 Intelligence Integration & Numerical Innovation (Shandong) Technology Co., Ltd., Rizhao 276800
    2 Zhejiang Feidi Motors Co., Ltd., Rizhao 276800
    3 Shandong Institute of Science and Technology Information, Jinan 276801
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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