Parameter Settings for an Automated Gantry-Robot Painting System using a 3-Gun Atomization Spray Method for an Anti- Static Coating Process

Dry film thickness and appearance are the main quality improvements that can be achieved by an automated painting system in the manufacturing process. This study presents the spray coating process for aircraft parts using a gantry robot with an automated spray-painting gun to control the spray path, thus achieving the desired coating layer thickness. The experimental results show that the 3-gun atomization spray method, with high capacity airflow and outstanding atomization characteristics, poses the challenge of achieving an even thickness of the overlapping spray pattern from three separate guns, minimizing the paint material consumption and controlling the dry film thickness within the given specification and standard. The optimization was performed to control the spray path and material consumption with a 3-gun spray method to achieve the optimum setting for the spray nozzle to workpiece height to obtain the target thickness. The results show that replacing the manual process with the automated painting process can increase the speed by up to 30-40%, reduce the setup time and increase the capacity of the painting booth. The development of this system can achieve the desired thickness specification, increase productivity and provide safer, more effective and ergonomic working conditions.

[1]  Norihiko Kato,et al.  Path planning based on geographical features information for an autonomous mobile robot , 2006, Artificial Life and Robotics.

[2]  Suksan Prombanpong,et al.  ScienceDirect Variety Management in Manufacturing . Proceeding s of the 47 th CIRP Conference on Manufacturing Systems Material consumption and dry film thickness in spray coating process , 2022 .

[3]  Elcometer instruments Ltd Coating thickness gauge , 1970 .

[4]  Thomas A. Fuhlbrigge,et al.  Automatic Trajectory Generation for Robotic Painting Application , 2010, ISR/ROBOTIK.

[5]  Yang Tang,et al.  Surface Modeling of Workpiece and Tool Trajectory Planning for Spray Painting Robot , 2015, PloS one.

[6]  Dean Zhao,et al.  Path Planning for Spray Painting Robot of Workpiece Surfaces , 2013 .

[7]  Suksan Prombanpong,et al.  An Optimization Of Spray Coating Process To Minimize Coating Material Consumption , 2017, ECMS.

[8]  Howie Choset,et al.  Paint deposition modeling for trajectory planning on automotive surfaces , 2005, IEEE Transactions on Automation Science and Engineering.

[9]  Zunaidi Ibrahim,et al.  Electromyography signal based for intelligent prosthesis design , 2008 .

[10]  Om Prakash Gujela,et al.  Six DOF Spray Painting Robot Analysis , 2015 .

[11]  A B Shahriman,et al.  Development of Automated Spray-Painting System for Anti-Static Coating Process , 2019 .

[12]  Wan Azani Mustafa,et al.  Review of Different Binarization Approaches on Degraded Document Images , 2018, 2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA).

[13]  Fanqi Meng Trajectory and spray control planning on unknown 3D surfaces for industrial spray painting robot , 2008 .

[14]  Jan Tommy Gravdahl,et al.  Optimal Paint Gun Orientation in Spray Paint Applications—Experimental Results , 2011, IEEE Transactions on Automation Science and Engineering.

[15]  V. Retnasamy,et al.  Complex background subtraction for biometric identification , 2007, 2007 International Conference on Intelligent and Advanced Systems.

[16]  B. Latha Shankar,et al.  Optimization of Robotic Spray Painting process Parameters using Taguchi Method , 2018 .

[17]  Wan Khairunizam,et al.  Investigation of Steering Wheel Control of an Electric Buggy Car for Designing Fuzzy Controller , 2018 .

[18]  Yifan Chen,et al.  Tool path planning for compound surfaces in spray forming processes , 2004, IEEE Transactions on Automation Science and Engineering.

[19]  Taejung Kim,et al.  Optimal sweeping paths on a 2-manifold: a new class of optimization problems defined by path structures , 2003, IEEE Trans. Robotics Autom..