Abstract
In order to accurately establish the film thickness distribution model of a static spraying plane with air gun displacement, the film forming law and characteristics of the static spraying plane with air gun displacement were analyzed. The spray simulation model was established by the Euler–Euler method, and the spray process and film forming condition were calculated. The numerical simulation results show that oblique spraying has a large influence on the near-surface liquid velocity. With the increase in the spray angle, the droplets at the edge of the torch diffuse to the inclined direction, and the uniformity of the coating distribution becomes worse. Spraying height has a large influence on droplet trajectory. The coating thickness decreased significantly with the increase in spraying height, and the coating diffused in the air increased. With the increase in spraying height, the more obvious the droplet diffusion at the edge of the torch, the worse the uniformity quality of the coating. In order to ensure better spraying quality, the spraying height and angle should be controlled within a reasonable range at the same time. Spraying experiments verified the film forming law and characteristics of static spraying with gun displacement.
Highlights
Robotic spraying technology is widely used in automobile, aviation, aerospace, shipbuilding and other manufacturing fields because of its advantages of stable spraying quality, high spraying efficiency and automation [1,2]
Kanta [5] compared the application of artificial neural networks and fuzzy logic in plasma spraying and found that artificial intelligence (AI) was the appropriate method to predict spraying parameters to obtain the required coating characteristics
Electrostatic spraying technology is divided into electrostatic air spraying and electrostatic spinning cup spraying
Summary
Robotic spraying technology is widely used in automobile, aviation, aerospace, shipbuilding and other manufacturing fields because of its advantages of stable spraying quality, high spraying efficiency and automation [1,2]. Due to the complexity of the film forming process of air spraying, the combination of CFD numerical simulation and spraying experiment is mainly used to study how to establish a physical model to accurately predict the coating deposition rate [10,11]. In order to study the film forming mechanism of plane air spraying, the trajectory of spray particles was simulated by the Lagrange method [13]. Barry [16] used s realizable k-ε turbulence model to simulate the impact process of a single jet on the target plane, and studied the influence of air flow rate, spraying height and other parameters on the thickness distribution of the coating during air spraying jet impact. The feasibility of the simulation model in this paper is verified by spraying experiments
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