A Model of Spray Tool and a Parameter Optimization Method for Spraying Path Planning

Hua, Ru-Xiang; Zou, Wei; Chen, Guodong; Ma, Hongxuan; Zhang, Wei

doi:10.1007/s11633-021-1310-3

Cited by 5 publications

(3 citation statements)

References 21 publications

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“…Facing the path optimization problem of automobile spraying robot, Hua et al proposed method of adjacent paths and built a spraying task model and a robot virtual model. In the experiment, this method can calculate the motion, robot angle, and angular velocity to provide high-quality automobile spraying [17].…”

Section: Literature Reviewmentioning

confidence: 99%

Path Optimization of Welding Robot Based on Ant Colony and Genetic Algorithm

Zhang¹

2022

Journal of Applied Mathematics

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While the process of intelligent industrial production is accelerating, the application scope of welding robots is also expanding. For the purpose of reducing the work efficiency and time consumption of the welding robot, the ACO is used for the shortest distance and the GA is used for the shortest time fixed-point path trajectory optimization. The application of parameter optimization and random disturbance factor in the ACO increases the global search performance of the algorithm. In the shortest time trajectory optimization, the B-spline curve interpolation method and the GA are combined to carry out the segmental optimization processing. Simulation experiments show that the optimization strategy of ACO can increase the iterative calculation efficiency and path optimization performance of the algorithm. At the same time, the robot with optimized genetic algorithm has smaller fluctuations in joint angle and angular velocity in the simulated welding task, and the optimization algorithm takes 17.6 s less than the traditional particle swarm algorithm and 11 s less than the single A ∗ algorithm. The experiments confirmed the performance of the ACO-GA for the path optimization of the welding robot, and research can provide a scientific path optimization reference for the welding task of the industrial production line.

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Section: Literature Reviewmentioning

confidence: 99%

Path Optimization of Welding Robot Based on Ant Colony and Genetic Algorithm

Zhang¹

2022

Journal of Applied Mathematics

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“…However, the data acquisition method of the model has the same problem as [ 17 ]. In [ 19 ], according to the application requirements, the rectangular coating accumulation model is selected, and the three-dimensional coating thickness accumulation distribution model is derived. The model has high accuracy, but also because of the limitation of its application requirements, the model lacks versatility and generalization ability.…”

Section: Introductionmentioning

confidence: 99%

“…This type of model thinks that a spray gun is a conical spray and is widely used. The third type is to build a coating accumulation model by fitting experimental data, 2 of 19 which is more in line with the actual spraying situation. The representative literature is shown in Table 1.…”

Section: Introductionmentioning

confidence: 99%

Method of 3D Coating Accumulation Modeling Based on Inclined Spraying

Yu,

Su,

Wang

et al. 2024

Sensors

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In the process of repairing the surface of products in aviation, aerospace, and other fields by spraying, accurate 3D cumulative-coating modeling is an important research issue in spraying-process simulation. The approach to this issue is a 3D cumulative-coating model based on inclined spraying. Firstly, an oblique spraying layer cumulative model was established, which could quickly collect the coating thickness distribution data of different spray distances. Secondly, 3D cumulative-coating modeling was conducted with the distance between the measuring point and the axis of the spray gun and the spraying distance between the measuring points as the input parameters, and the coating thickness of the measuring point as the output parameter. The experimental results show that the mean relative error of the cumulative model of the oblique spraying layer is less than 4.1% in the case of a 170~290 mm spraying distance and that the model is applicable in the range of −80~80 mm, indicating that the data on the oblique spraying coating proposed in this paper is accurate and fast. The accuracy of the 3D cumulative-coating model proposed in this paper is 1.2% and 21.5% higher than that of the two similar models, respectively. Therefore, the approach of 3D cumulative-coating modeling based on inclined distance spraying is discovered, demonstrating the advantages of fast and accurate modeling and enabling accurate 3D cumulative-coating modeling for spraying process simulation.

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Trajectory Planning of Spray-Painting Robot Based on Thickness Uniformity of Paint Film

et al. 2023

Lecture Notes in Mechanical Engineering

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A Model of Spray Tool and a Parameter Optimization Method for Spraying Path Planning

Cited by 5 publications

References 21 publications

Path Optimization of Welding Robot Based on Ant Colony and Genetic Algorithm

Path Optimization of Welding Robot Based on Ant Colony and Genetic Algorithm

Method of 3D Coating Accumulation Modeling Based on Inclined Spraying

Trajectory Planning of Spray-Painting Robot Based on Thickness Uniformity of Paint Film

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