Optimization of the grinding trajectory of the engine piston skirt robot based on machine vision
Highlights (1) An automatic generation method of data points of the grinding path is proposed. The data points of the grinding path are automatically obtained by machine vision and digital image processing technology; (2) The evaluation criteria of the robot trajectory planning method are proposed....
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2023-03-01
|
| Series: | SN Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-023-05323-w |
| _version_ | 1827983131123122176 |
|---|---|
| author | Na Lu Youmin Wang Jun Li |
| author_facet | Na Lu Youmin Wang Jun Li |
| author_sort | Na Lu |
| collection | DOAJ |
| description | Highlights (1) An automatic generation method of data points of the grinding path is proposed. The data points of the grinding path are automatically obtained by machine vision and digital image processing technology; (2) The evaluation criteria of the robot trajectory planning method are proposed. The root means square is used to compare the two polynomial interpolation methods with the cubic spline function interpolation method. Under the same working conditions, the interpolation method with a higher speed is selected can improve the grinding efficiency; (3) An improved method of particle swarm optimization is proposed. Based on the particle swarm algorithm with random weights, combined with the natural selection algorithm. The time-optimal trajectory optimization model is established, and the improved particle swarm algorithm is used to optimize the grinding trajectory time of the parts to obtain the optimal trajectory. |
| first_indexed | 2024-04-09T22:42:48Z |
| format | Article |
| id | doaj.art-9136c234c50e4c92a451d9b5b120711f |
| institution | Directory Open Access Journal |
| issn | 2523-3963 2523-3971 |
| language | English |
| last_indexed | 2024-04-09T22:42:48Z |
| publishDate | 2023-03-01 |
| publisher | Springer |
| record_format | Article |
| series | SN Applied Sciences |
| spelling | doaj.art-9136c234c50e4c92a451d9b5b120711f2023-03-22T12:03:02ZengSpringerSN Applied Sciences2523-39632523-39712023-03-015412210.1007/s42452-023-05323-wOptimization of the grinding trajectory of the engine piston skirt robot based on machine visionNa Lu0Youmin Wang1Jun Li2School of Mechanical Engineering, Anhui Polytechnic UniversitySchool of Mechanical Engineering, Anhui Polytechnic UniversitySchool of Mechanical Engineering, Anhui Polytechnic UniversityHighlights (1) An automatic generation method of data points of the grinding path is proposed. The data points of the grinding path are automatically obtained by machine vision and digital image processing technology; (2) The evaluation criteria of the robot trajectory planning method are proposed. The root means square is used to compare the two polynomial interpolation methods with the cubic spline function interpolation method. Under the same working conditions, the interpolation method with a higher speed is selected can improve the grinding efficiency; (3) An improved method of particle swarm optimization is proposed. Based on the particle swarm algorithm with random weights, combined with the natural selection algorithm. The time-optimal trajectory optimization model is established, and the improved particle swarm algorithm is used to optimize the grinding trajectory time of the parts to obtain the optimal trajectory.https://doi.org/10.1007/s42452-023-05323-wPiston skirtMachine visionImage processingGrindingFive-order B-splineTrajectory planning |
| spellingShingle | Na Lu Youmin Wang Jun Li Optimization of the grinding trajectory of the engine piston skirt robot based on machine vision SN Applied Sciences Piston skirt Machine vision Image processing Grinding Five-order B-spline Trajectory planning |
| title | Optimization of the grinding trajectory of the engine piston skirt robot based on machine vision |
| title_full | Optimization of the grinding trajectory of the engine piston skirt robot based on machine vision |
| title_fullStr | Optimization of the grinding trajectory of the engine piston skirt robot based on machine vision |
| title_full_unstemmed | Optimization of the grinding trajectory of the engine piston skirt robot based on machine vision |
| title_short | Optimization of the grinding trajectory of the engine piston skirt robot based on machine vision |
| title_sort | optimization of the grinding trajectory of the engine piston skirt robot based on machine vision |
| topic | Piston skirt Machine vision Image processing Grinding Five-order B-spline Trajectory planning |
| url | https://doi.org/10.1007/s42452-023-05323-w |
| work_keys_str_mv | AT nalu optimizationofthegrindingtrajectoryoftheenginepistonskirtrobotbasedonmachinevision AT youminwang optimizationofthegrindingtrajectoryoftheenginepistonskirtrobotbasedonmachinevision AT junli optimizationofthegrindingtrajectoryoftheenginepistonskirtrobotbasedonmachinevision |