Process Optimization for Robotic Ultrasonic Strengthening of Aviation Blade Surfaces Based on Intelligent Compliance Control
In order to enhance the automation level and achieve high precision in the ultrasonic strengthening of aviation blade surfaces, this study focuses on investigating the intelligent control strategy and optimizing the machining parameters for robotic ultrasonic surface strengthening. By designing an i...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-10-01
|
| Series: | Micromachines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-666X/14/10/1920 |
| _version_ | 1797572915456114688 |
|---|---|
| author | Shanxiang Fang Yukai Zhu Qinjian Zhang Yong Zhang |
| author_facet | Shanxiang Fang Yukai Zhu Qinjian Zhang Yong Zhang |
| author_sort | Shanxiang Fang |
| collection | DOAJ |
| description | In order to enhance the automation level and achieve high precision in the ultrasonic strengthening of aviation blade surfaces, this study focuses on investigating the intelligent control strategy and optimizing the machining parameters for robotic ultrasonic surface strengthening. By designing an intelligent compliance control method, the end-effector can achieve the compliant output of contact force. The fuzzy PID control method is used to optimize the regulation performance of the compliant force control system. This compliance control strategy enables the optimization of the compliance device, effectively improving the static and dynamic characteristics of the compliance controller. Based on this, an experimental method (RSM) is designed to analyze the interaction effects of contact force, feed rate, and repetition times on the surface quality of the blade. The optimal combination of robotic strengthening parameters is determined, providing a practical reference for the application of robotic compliance control in the ultrasonic strengthening of aviation blade surfaces. |
| first_indexed | 2024-03-10T21:02:24Z |
| format | Article |
| id | doaj.art-3ab0825a03554d0fabaa1f0dd5bcc1b1 |
| institution | Directory Open Access Journal |
| issn | 2072-666X |
| language | English |
| last_indexed | 2024-03-10T21:02:24Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Micromachines |
| spelling | doaj.art-3ab0825a03554d0fabaa1f0dd5bcc1b12023-11-19T17:24:50ZengMDPI AGMicromachines2072-666X2023-10-011410192010.3390/mi14101920Process Optimization for Robotic Ultrasonic Strengthening of Aviation Blade Surfaces Based on Intelligent Compliance ControlShanxiang Fang0Yukai Zhu1Qinjian Zhang2Yong Zhang3Department of Strategic and Advanced Interdisciplinary Research, Peng Cheng Laboratory, Shenzhen 518055, ChinaDepartment of Strategic and Advanced Interdisciplinary Research, Peng Cheng Laboratory, Shenzhen 518055, ChinaMechanical Electrical Engineering School, Beijing Information Science & Technology University, Beijing 100192, ChinaDepartment of Strategic and Advanced Interdisciplinary Research, Peng Cheng Laboratory, Shenzhen 518055, ChinaIn order to enhance the automation level and achieve high precision in the ultrasonic strengthening of aviation blade surfaces, this study focuses on investigating the intelligent control strategy and optimizing the machining parameters for robotic ultrasonic surface strengthening. By designing an intelligent compliance control method, the end-effector can achieve the compliant output of contact force. The fuzzy PID control method is used to optimize the regulation performance of the compliant force control system. This compliance control strategy enables the optimization of the compliance device, effectively improving the static and dynamic characteristics of the compliance controller. Based on this, an experimental method (RSM) is designed to analyze the interaction effects of contact force, feed rate, and repetition times on the surface quality of the blade. The optimal combination of robotic strengthening parameters is determined, providing a practical reference for the application of robotic compliance control in the ultrasonic strengthening of aviation blade surfaces.https://www.mdpi.com/2072-666X/14/10/1920ultrasonic strengtheningrobotic compliance controlaviation bladesurface qualityparameter optimization |
| spellingShingle | Shanxiang Fang Yukai Zhu Qinjian Zhang Yong Zhang Process Optimization for Robotic Ultrasonic Strengthening of Aviation Blade Surfaces Based on Intelligent Compliance Control Micromachines ultrasonic strengthening robotic compliance control aviation blade surface quality parameter optimization |
| title | Process Optimization for Robotic Ultrasonic Strengthening of Aviation Blade Surfaces Based on Intelligent Compliance Control |
| title_full | Process Optimization for Robotic Ultrasonic Strengthening of Aviation Blade Surfaces Based on Intelligent Compliance Control |
| title_fullStr | Process Optimization for Robotic Ultrasonic Strengthening of Aviation Blade Surfaces Based on Intelligent Compliance Control |
| title_full_unstemmed | Process Optimization for Robotic Ultrasonic Strengthening of Aviation Blade Surfaces Based on Intelligent Compliance Control |
| title_short | Process Optimization for Robotic Ultrasonic Strengthening of Aviation Blade Surfaces Based on Intelligent Compliance Control |
| title_sort | process optimization for robotic ultrasonic strengthening of aviation blade surfaces based on intelligent compliance control |
| topic | ultrasonic strengthening robotic compliance control aviation blade surface quality parameter optimization |
| url | https://www.mdpi.com/2072-666X/14/10/1920 |
| work_keys_str_mv | AT shanxiangfang processoptimizationforroboticultrasonicstrengtheningofaviationbladesurfacesbasedonintelligentcompliancecontrol AT yukaizhu processoptimizationforroboticultrasonicstrengtheningofaviationbladesurfacesbasedonintelligentcompliancecontrol AT qinjianzhang processoptimizationforroboticultrasonicstrengtheningofaviationbladesurfacesbasedonintelligentcompliancecontrol AT yongzhang processoptimizationforroboticultrasonicstrengtheningofaviationbladesurfacesbasedonintelligentcompliancecontrol |