Coating thickness optimization for a robotized thermal spray system |
| |
| Affiliation: | 1. Key Laboratory of Road Construction Technology and Equipment of MOE, Chang''an University, Xi''an 710064, China;2. School of Construction Machinery, Chang''an University, Xi''an, 710064, China;3. Department of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 2E1, Canada;4. Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, 518055, China;1. Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China;2. Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan 430070, China;3. Hubei Longzhong Laboratory, Xiangyang 441000, China;1. School of Control Science and Engineering, Shandong University, 17923 Jingshi Road, Jinan 250061, PR. China;2. Engineering Research Center of Intelligent Unmanned System, Ministry of Education, Jinan 250061, PR. China;1. State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China;2. Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China;3. School of Mechanical and Electrical Engineering, Shenyang Aerospace University, Shenyang 110136, China;1. Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin 150080, China;2. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA;3. Department of Production Engineering, KTH Royal Institute of Technology, 11428 Stockholm, Sweden |
| |
| Abstract: | Thermal spraying techniques are used to protect or improve the surface performance of a workpiece by adding melted (or heated) powders onto the surface. Thickness and uniformity control are critical for obtaining an excellent thermal spraying coating. In the contemporary manufacturing industry, with the increasing demand for efficient and accurate processes, robot manipulators and handling systems have been developed to control the movement of the spray gun relative to the workpiece surface, where the robot manipulators and handling systems lead the spray gun to reciprocate along a predefined path. However, the research on optimizing the path for generating the desired coating thickness is very limited. In this paper, a parametric coating thickness prediction model is adapted from our previous research. Then, the Nelder-Mead method drives the model to find out the optimal kinematic parameters of a zigzag (meander) path for a uniform coating with the desired thickness. Based on the obtained kinematic parameters, the trajectory and program of a robot end effector (spray gun) are yielded. Finally, a prototype system with an intuitive user interface is developed to integrate these functions. From the input of a Gaussian coating growth model and a substrate, it can provide an optimal path directly. At the end of this work, one case was implemented by a homemade spray system and a robot system for verifying the effectiveness of the system. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
