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.