Study of the Vibration Mechanism and Process Optimization for Abrasive Belt Grinding for a Blisk-Blade

Liu, Y.; Li, Q.; Xiao, Guijian; Huang, Yun

doi:10.1109/access.2019.2899495

Cited by 10 publications

(3 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Also, several works were concentrated on computer numerical control (CNC) or numerical control (NC) grinding machine tools for grinding tasks. A seven-axes and six-linkage adaptive abrasive belt grinding machine tool was developed and belt grinding experiments of the pure industrial iron specimens were carried out [31], and also, the physical model for the blisk-blade abrasive belt grinding was built and the grinding vibration mechanism and process parameter optimization for the blisk-blade abrasive belt grinding were investigated [32]. A grinding machine tool was designed and the abrasive belt grinding experiment for blisk specimens was conducted in a thirteen axes computer numerical control abrasive belt grinding machine [33].…”

Section: Related Workmentioning

confidence: 99%

A Robotic Grinding Motion Planning Methodology for a Novel Automatic Seam Bead Grinding Robot Manipulator

Guo

Zhu

2020

IEEE Access

View full text Add to dashboard Cite

Industrial robotics is a continuously developing area of in-depth robotics research, as industrial robots have demonstrated to possess advantages in the robotic automation solutions in the industrial automation applications. In this paper, a novel automatic seam bead grinding robot manipulator with the integration of machining and measuring is proposed and an experimentation platform is developed for the robotic removal of the seam weld beads at welded pipe ends. Also, a robotic grinding motion planning methodology, which consists of a robotic operation process motion planning approach and a robotic seam bead grinding method, is presented for the appropriate motion planning and applications of the operational processes. Furthermore, the effectiveness of the robotic grinding motion planning methodology and the superiorly operational manipulation performance of the proposed robot manipulator are verified through a robotic grinding experiment for the removal of external seam weld beads at a helical welded pipe end.INDEX TERMS Industrial robotics, grinding robot manipulator, motion planning, seam bead grinding, welded pipe end.

show abstract

Section: Related Workmentioning

confidence: 99%

A Robotic Grinding Motion Planning Methodology for a Novel Automatic Seam Bead Grinding Robot Manipulator

Guo

Zhu

2020

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Refs. [10][11][12][13][14][15] focused on trajectory and vibration research of the belt grinding. Wu Xin Ng et al described a novel methodology to bridge the knowledge transfer gap between the manual operator's skills and a robot, and Key Process Variables (KPVs) were designed based on experiences [16].…”

Section: Introductionmentioning

confidence: 99%

System Design and Monitoring Method of Robot Grinding for Friction Stir Weld Seam

et al. 2020

Applied Sciences

View full text Add to dashboard Cite

In the grinding process of friction stir weld seams, excessive grinding will cause damage to the base metal and bring significant economic losses. In this paper, the authors design a robotic system for grinding the weld seam and present a monitoring method of excessive grinding. The designed system consists of an industrial robot, a line scanner for measuring the weld seam and a force-controlled grinding tool. Since the result of the measurement of the weld seam is a point cloud, the extraction method of the weld seam point cloud based on graph-cut is proposed in this paper. The extracted features are used as prior knowledge of the monitoring algorithm. On the other hand, by combining the features from the point cloud and force-position information during the processing, a monitoring method for excessive grinding based on PSO-SVM is proposed and verified by experiments. The experiments demonstrate that the proposed method can identify excessive grinding, and the accuracy of recognition is 91.5%.

show abstract

“…Leonesio et al [13] presented a novel frequency domain approach for identifying the process parameters, exploiting in-process system response, which measured via impact testing. Liu et al [14] analysed the process parameters and stability grinding conditions affecting the grinding stability of the bliskblade belt. Rao et al [15] estimated the influence of various input process parameters on machine tool life by determining the roughness on a machined surface and amplitude of workpiece vibration.…”

Section: Introductionmentioning

confidence: 99%

Experimental Analysis of Process Parameter Effects on Vibrations in the High-Speed Grinding of a Camshaft

Liu

Deng

et al. 2020

SV-JME

View full text Add to dashboard Cite

The capacity to minimize vibrations in grinding by the selection of appropriate process parameters is a significant benefit in the process optimization of cam grinding. This paper presents survey methods to characterize and quantify the vibrations and waviness in a camshaft grinding application. First, a modal analysis was conducted to study the dynamic characteristic of a camshaft grinding machine. Then, developed methods were applied to study the influences of various parameters on vibrations in the high-speed grinding of a camshaft. Furthermore, the influence of each grinding process condition on surface waviness in high-speed camshaft grinding was studied. The results show that the vibrations and the surface waviness change with the increase of grinding depth, and an appropriate grinding wheel speed combined with a workpiece speed has, for most grinding conditions, a reducing effect on vibration magnitudes and waviness. Finally, the specific indications about the optimal grinding process parameters in terms of dynamic characteristics of the grinding machine were given, and the speed ratio=1.2 is a novel choice.

show abstract

Study of the Vibration Mechanism and Process Optimization for Abrasive Belt Grinding for a Blisk-Blade

Cited by 10 publications

References 15 publications

A Robotic Grinding Motion Planning Methodology for a Novel Automatic Seam Bead Grinding Robot Manipulator

A Robotic Grinding Motion Planning Methodology for a Novel Automatic Seam Bead Grinding Robot Manipulator

System Design and Monitoring Method of Robot Grinding for Friction Stir Weld Seam

Experimental Analysis of Process Parameter Effects on Vibrations in the High-Speed Grinding of a Camshaft

Contact Info

Product

Resources

About