Article
Engineering, Manufacturing
Guijian Xiao, Shulin Chen, Kangkang Song, Xuetao Liu, Yun Huang
Summary: This study proposes a novel adaptive trajectory planning method based on reverse compensation for profile error in robotic belt grinding of blisk. The method takes into account the complex structure and profile error control of the blisk, and has been validated through simulation and experiments to have advantages in machining efficiency, surface roughness, and profile accuracy.
JOURNAL OF MANUFACTURING PROCESSES
(2022)
Article
Engineering, Manufacturing
Shengjie Ren, Kun Bu, Sheng Mou, Ruiyuan Zhang, Boxian Bai
Summary: A novel one-step reverse compensation method based on a variable shrinkage factor is proposed to control the deformation of hollow turbine blades during investment casting. The directional solidification process is simulated to predict the deformation distribution, and the shrinkage rate of each finite element node is calculated to guide mold design. Experimental results show that the optimized deformation using this method is within the design requirement and the maximum deformation of the blade is significantly reduced.
JOURNAL OF MANUFACTURING PROCESSES
(2023)
Article
Automation & Control Systems
Zhongqiang Yang, Zhi Huang, Hongyan Wang, Limin Wang, Han Yang
Summary: In this paper, an improved NSGA-II multi-objective optimization algorithm is proposed to reduce carbon emissions during belt grinding while ensuring the same surface roughness and material removal rate. The algorithm shows better diversity and uniformity compared to existing algorithms and can effectively reduce carbon emissions during grinding. The optimization method presented in this paper has significant reference value for engineering practice.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Thermodynamics
Zhenhua Jiang, You Zhou, Li Wang
Summary: This paper proposes a calibration and error compensation method for turbine blade surface machining based on robotic abrasive belt grinding system. The method uses a scanner and CAD model to determine the relationships among coordinate systems and compensates for system errors by constructing an error surface using B-spline interpolation. Simulation results verify the effectiveness of the proposed method.
ADVANCES IN MECHANICAL ENGINEERING
(2022)
Review
Engineering, Mechanical
Boling Yan, Yanpeng Hao, Lida Zhu, Changfu Liu
Summary: This paper provides a review on the recent study progress in milling of turbine blades, focusing on CAD/CAM techniques, cutting force, machining error, and surface quality. Through in-depth discussion and summary, crucial conclusions on current research status and future trends are presented.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Aerospace
Chong Lv, Lai Zou, Yun Huang, Xifan Liu, Zhaorui Li, Mingwang Gong, Heng Li
Summary: A novel trajectory planning method for robotic belt grinding of blades was proposed in this study, which successfully improved the surface profile accuracy and machining efficiency by dynamically calculating cutting points based on experimental model corrections.
CHINESE JOURNAL OF AERONAUTICS
(2022)
Review
Engineering, Multidisciplinary
Buxin Zhang, Shujing Wu, Dazhong Wang, Shanglei Yang, Feng Jiang, Changhe Li
Summary: With the continuous improvement of thrust-to-weight ratio and endurance in advanced aero-engines, higher requirements are being imposed on blade surface quality. Robot abrasive belt grinding offers excellent flexibility, convenient scheduling, strong adaptability, and low cost advantages. However, factors such as low repeated positioning accuracy, weak structural stiffness, and elastic deformation during belt grinding significantly influence the surface quality and contour accuracy of robot belt grinding.
Article
Engineering, Electrical & Electronic
Haotian Wu, Yaonan Wang, Hui Zhang, Xiaofang Yuan, Xianen Zhou
Summary: Robotic grinding is a promising method for forming industrial component surfaces, improving quality, lowering costs, and reducing processing time. The efficiency of grinding depends on surface matching between measured points and design models, with existing methods often leading to high processing time and unstable quality. The novel surface matching method proposed in this article balances all measured points' contributions and is effective in reducing grinding time.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Engineering, Manufacturing
Shijie Dai, Xiaojun Wang, Huibo Zhang, Birong Wen
Summary: Selecting appropriate grinding parameters is crucial when grinding wind turbine blades by robot to prevent grinding burn and ensure surface quality. By establishing a heat source model and conducting numerical simulations, it is possible to predict and control the grinding temperature effectively, resulting in high-quality surface grinding.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
(2021)
Article
Engineering, Mechanical
Guijian Xiao, Benqiang Chen, Shaochuan Li, Xiaoqin Zhuo
Summary: This study focuses on grinding of aero-engine blades, proposes a life prediction algorithm considering residual stress, validates the effectiveness of the method through experiments and simulations, and presents a residual stress equivalent calibration method.
ENGINEERING FAILURE ANALYSIS
(2022)
Article
Engineering, Manufacturing
Kang Min, Fenglei Ni, Hong Liu
Summary: This paper proposes a unified architecture to address the challenges in improving the surface quality of blades in robotic abrasive belt grinding. By using B-spline and quaternion spline curves to generate a global C2 continuous trajectory, sensing the actual grinding force, and utilizing an adaptive hybrid impedance control scheme and nonlinear tracking differentiator modules, the automated grinding of complex curved blades is achieved.
JOURNAL OF MANUFACTURING PROCESSES
(2023)
Article
Engineering, Manufacturing
Lufeng Li, Xukai Ren, Hengjian Feng, Huabin Chen, Xiaoqi Chen
Summary: This paper develops grinding force and material removal rate models for robotic belt grinding, based on single grain force analysis and dividing the grinding process into three stages. By studying the distribution of grains and penetration depth of each grain, the grinding force and MRR are successfully calculated.
JOURNAL OF MANUFACTURING PROCESSES
(2021)
Article
Automation & Control Systems
Xingwei Zhao, Hao Lu, Wenfu Yu, Bo Tao, Han Ding
Summary: In this article, a mobile robotic grinding system for large-scale workpiece is proposed. The mobile robot is equipped with a laser sensor, fringe projection scanner, and force-controlled grinding tool. The mobile robot can move in large spaces, calibrate the workpiece accurately, and perform grinding work automatically. A vision-based grinding strategy for the mobile robot is proposed, where the workpiece surface reconstruction and grinding path planning are generated by the measured point clouts. An error index is proposed to analyze the machining accuracy, which can reveal the primary error factor in the error transfer chain. Compared with the mobile robotic grinding based on the global measurement system in (Zhao et al., 2021), the proposed vision-based grinding process requires no precise CAD model of the workpiece and achieves better machining accuracy. Two experiments are conducted in this article, where a wind turbine blade and a part of the aircraft skin have been ground by the mobile robot. Experiments show that the mobile robot under the vision-based grinding strategy is suited for different continuous surfaces, and it has great application prospects.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Automation & Control Systems
Chuan-Rui Si, Zheng-Qing Zhu, Zhi-Tong Chen, Yun Zhang
Summary: A new process model construction method for CNC correction of turbine blades is proposed, which optimizes the sectional curves to best fit the actual blade geometry and minimizes the local error areas. The method has been successfully demonstrated on two typical turbine blades, showing a significant reduction in local error areas.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Computer Science, Interdisciplinary Applications
Xiaohu Xu, Wei Chen, Dahu Zhu, Sijie Yan, Han Ding
Summary: This paper introduces an active force control method to eliminate grinding marks and traces, and a passive force control method to reduce over-and under-cutting phenomenon in robotic abrasive belt grinding of turbine blades. The adoption of Kalman filter information fusion methodology can improve controlled force accuracy and efficiency, as well as avoid control interference. The proposed hybrid force control method has been verified to achieve desired surface quality and higher profile precision.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2021)
