An integrated polishing method for compressor blade surfaces

Xiao, Guijian; Huang, Yun; Yin, Jiachao

doi:10.1007/s00170-016-8891-y

Cited by 33 publications

(10 citation statements)

References 22 publications

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“…Generally, the global path planning environment is completely known, while the local path planning environment is partially known or completely unknown. Artificial potential field makes path planning for obstacle avoidance of the robot arm, and defines the working environment of the robot arm as an abstract potential field [8]. The gravitational field function between the target point and the end of the manipulator is defined as follows:…”

Section: The Complex Function Of Gravitational Field Is Establishedmentioning

confidence: 99%

Visual positioning system for marine industrial robot assembly based on complex variable function

Oqaibi

2021

Applied Mathematics and Nonlinear Sciences

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With the deepening of human understanding of marine resources and the acceleration of resource development, marine industrial robots have come to be widely used. Robots are not simply a substitute for manual labour, but a personified electronic and mechanical device that combines human and machine strengths. They have both the ability to react quickly and analyse and judge the state of the environment, and the ability of the machine to work continuously for a long time, with high accuracy and resistance to adverse conditions. In industrial machinery, the gravitational field exists in threedimensional space, but if the distribution of the known field is independent of a coordinate, it is simplified to a twodimensional field, which is called a plane scalar field. There are many two-dimensional field problems in the visual positioning system of assembly system. The exact solution can be obtained by using complex function theory to analyse two-dimensional field in complex plane. In this paper, the application of complex function theory in gravitational field is discussed. In the process of cooperative assembly of marine industrial robots, it is necessary to make the correct choice to improve the cooperative assembly method of marine industrial robots, so that the robot industry in China can undergo development and renewal.

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Section: The Complex Function Of Gravitational Field Is Establishedmentioning

confidence: 99%

Visual positioning system for marine industrial robot assembly based on complex variable function

Oqaibi

2021

Applied Mathematics and Nonlinear Sciences

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“…Wu [13] studied the six-axis CNC system programming technology for belt grinding of blades; geometric modeling and post-process acquisition of tool position information were developed, the CNC system was selected, and machining simulations were performed. Xiao and Huang [14] and Xiao et al [15] studied equivalent adaptive belt grinding for the aero-engine blade edge; the surface roughness of the blade was analyzed, and the results showed that the grinding surface roughness was less than 0.25 µm with residual stress on the surface. Lin et al [16] adopted a flexible polishing technology and control vector to achieve a polished shaft belt; the blade surface was effectively jointed with a surface roughness of 0.25 ∼ 0.39µm.…”

Section: B Cnc Belt Grinding For Aero-engine Bladementioning

confidence: 99%

Two-Level Static Floatation Tool Used in Belt Grinding for Root Fillet of Titanium Alloy Blade

Xiao

Huang

2019

IEEE Access

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The root fillet of key components in aero-engines, such as the blade, blisk, and blade ring, is the most stress-concentrated area during thermodynamic interactions. The root fillet is constructed with a small curvature radius and variable curvature in different sections. Variable curvature is difficult to achieve with the integrated heat in the grinding process, and the surface quality of the root fillet is therefore greatly influenced. A ''horseshoe nest'' may be created in the high-temperature air environment, which would significantly affect the fatigue life of the key components. Therefore, to solve the problem of precision grinding for a variablecurvature root fillet, a two-level static floatation tool is proposed for belt grinding. First, the system design of the two-level static floatation tool is introduced, and the principle of the two-level static air floating is analyzed based on fluid dynamics. Second, the deformation and stress distribution of the two-level static floatation tool is analyzed when combined with the belt grinding process for a variable-curvature root fillet. Finally, an experiment performed on the root fillet of an aero-engine titanium alloy blade is described. The results show that the surface roughness is less than 0.4 µm, the profile precision errors are less than 5%, the transition is smooth between the plane and the fillet (blade surface to root fillet rabbet), and a longitudinal texture on the blade root fillet is formed. INDEX TERMS Belt grinding, tool, blade, root fillet, surface integrity.

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“…Surface roughness is generated by many factors, including the grinding marks on the workpiece surface, the friction at the abrasive belt-workpiece interface, the plastic deformation and metal tearing when the chips are separated, and the high-frequency vibration existing in the machining system [5-7], etc. Numerous strategies, such as the optimization of process parameters [8,9], different polishing methods and tools [10,11], robotic machining dynamics [12,13], machining and lubrications conditions [14,15] and mechanical modeling of micro-scale abrasion [16,17] are employed to control and optimize the surface roughness in belt grinding. Among these strategies, controlling scallop height generated from the adjacent cutter marks on the workpiece surface is considered to be a sig-nificant approach for the desired surface roughness.…”

Section: Introductionmentioning

confidence: 99%

Analysis and prediction of surface roughness for robotic belt grinding of complex blade considering coexistence of elastic deformation and varying curvature

Yang

et al. 2021

Sci. China Technol. Sci.

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Precision prediction of machined surface roughness is challenging facing the robotic belt grinding of complex blade, since this process is accompanied by significant elastic deformation. The resulting poor prediction accuracy, to a great extent, is attributed to the existing prediction model which less considers the dynamics. In this paper, an improved scallop height model is developed to predict and assess the machined surface roughness by taking into account the elastic deformation and the varying curvature of blade, then robotic belt grinding experiments are carried out to evaluate the proposed model from the perspective of surface roughness. Finally factors that influence the scallop height are analyzed, and the suitable empirical equation of surface roughness is proposed to assess and predict the surface quality from the aspect of blade concave and convex surface by adopting the constant scallop height machining.

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An integrated polishing method for compressor blade surfaces

Cited by 33 publications

References 22 publications

Visual positioning system for marine industrial robot assembly based on complex variable function

Visual positioning system for marine industrial robot assembly based on complex variable function

Two-Level Static Floatation Tool Used in Belt Grinding for Root Fillet of Titanium Alloy Blade

Analysis and prediction of surface roughness for robotic belt grinding of complex blade considering coexistence of elastic deformation and varying curvature

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