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| Optimization of Argon Arc Welding Parameters Based on Cloud Ant Colony Algorithm for High Efficiency and Energy Saving |
| XIAO Xi1 , CAI Xulin2 , LAI Mingbo1 , LI Ruiling1 , HE Jiannan1 , ZHANG Jianwei1 |
| ( 1. AVIC Jiangxi Hongdu Aviation Industry Refco Group Ltd., Nanchang 330024, China; 2. College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China ) |
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Abstract To improve the efficiency of argon arc welding and reduce the energy consumption, a multi-objective optimization model and algorithm of high efficiency and energy saving process parameters were studied. Firstly, taking welding speed and welding current as optimization variables, and considering the constraints of welding equipment, workpiece characteristics, operation method and welding quality, a multi-objective process parameter optimization model with the minimum power consumption and the shortest processing time as optimization objectives was established. Put forward a kind of ant colony algorithm based on cloud model (CBACO) to solve the optimization of the constructed model, which contains an appropriate encoding method, a combination of local and global exploration strategy, a mutation factor based on cloud model, the traditional single point crossover factor, simplex crossover factor and the choice of appropriate strategies; Through a welding example of an aircraft fuel tank, the practicability of the optimization model and algorithm proposed in this paper is verified. The results show that the optimized parameters can effectively save time 60.41%–69.05% and energy 34.88%–46.30% under the premise of guaranteeing the processing quality.
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2020, 
