A short review on machining deformation control of aero-engine thin-walled casings

Wang, Xin; Zhao, Biao; Ding, Wenfeng; Pu, Changlan; Wang, Xingchao; Peng, Shengyao; Ma, Fangwei

doi:10.1007/s00170-022-09546-w

Cited by 17 publications

(4 citation statements)

References 85 publications

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“…This can result in the actual cutting depth being less than the nominal cutting depth, giving rise to varying degrees of tool error in the final parts [2] Numerous studies have been conducted to investigate methods for controlling the deformation of thin-walled parts during processing, with researchers primarily focusing on cutting parameter optimization, providing auxiliary support structures, and compensating for processing-induced deformation [3][4][5][6]. Machining deformation compensation technologies do not require any modifications to the original cutting parameters, and therefore, an increasing number of researchers are now focusing on developing Machining error compensation methods [7]. Accurate prediction or calculation of machining errors is a prerequisite for error compensation.…”

Section: Introductionmentioning

confidence: 99%

Calculation method for machining error of thin-walled parts based on on-machine measurement

Xing,

Wang,

Zhang

et al. 2024

Third International Conference on Testing Technology and Automation Engineering (TTAE 2023)

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Machining deformation compensation technology based on on-machine measurement (OMM) has been widely applied in the field of thin-walled parts machining. However, few research has been conducted on the calculation method of machining error for thin-walled parts. In this study, based on surface reconstruction technology of non-uniform rational B-spline (NURBS), a quick method for calculating machining error of thin-walled parts is proposed. The value of machining error is equal to the distance from the cutter location on the tool envelope to the corresponding point on the reconstructed surface. To simplify the solution process, a spatial rotation translation transformation is performed firstly on the reconstructed surface. Subsequently, we developed an iterative algorithm to efficiently locate the corresponding points on the reconstructed surface, enabling us to accurately calculate the machining error value.

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Section: Introductionmentioning

confidence: 99%

Calculation method for machining error of thin-walled parts based on on-machine measurement

Xing,

Wang,

Zhang

et al. 2024

Third International Conference on Testing Technology and Automation Engineering (TTAE 2023)

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“…Therefore, there are problems such as large machining deformation, low machining accuracy, and slow machining efficiency in the machining process [2]. In order to control the machining deformation and clamping deformation of thin-walled components, the industry currently uses machining deformation compensation technology based on in-situ measurement [3]. This technology has been developed for several decades and has become mature.…”

Section: Introductionmentioning

confidence: 99%

A method for expanding sampling area boundary based on on-machine measurement

Xing,

Wang,

Zhang

et al. 2024

International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023)

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The technology of adaptive deformation compensation for thin-walled parts, based on on-machine measurement (OMM), has found widespread application in various industries. However, due to the size of the ruby probe, a certain amount of space must be reserved along the workpiece boundary when using the probe to sample the surface of thin-walled parts. This precaution is taken to prevent any collisions or overtravel incidents involving the probe. Consequently, this reservation results in an inability to gather information from the boundary area of thin-walled parts. After undergoing multi-layer milling compensation processing, stepped processing transition areas can develop. In light of the theory of NURBS (Non-Uniform Rational B-Spline) surface reconstruction, this article introduces an algorithm that extends a distance along the tangent direction at the beginning and end of the sampling curve to expand the boundary. A sampling surface was constructed and expanded, and the maximum error γ between the two surfaces was calculated to be -3 0.27 10 mm  . The results showed that it met the accuracy requirements. The verification results confirm that this method can indeed be practically applied in the field of adaptive deformation compensation technology for thin-walled parts.

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“…In recent years, developments in the aerospace industry have increased the demand for nickel-based superalloys, whose components are increasingly used in hot-end components such as modern gas turbines [1,2]. The IC10 Ni 3 Al-based alloy is one of the preferred materials for turbine blades as a new generation of superalloys, with excellently high strength and oxidation resistance over a wide range of high temperatures [3,4].…”

Section: Introductionmentioning

confidence: 99%

Different Heat-Exposure Temperatures on the Microstructure and Properties of Dissimilar GH4169/IC10 Superalloy Vacuum Electron Beam Welded Joint

Cai,

Ma,

Zhang

et al. 2024

Metals

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Vacuum electron-beam welding (EBW) was used to join the precipitation-strengthened GH4169 superalloy and a new nickel-based superalloy IC10 to fabricate the turbine blade discs. In this study, a solid solution (1050 °C/2 h for GH4169 and 1150 °C/2 h for IC10) and different heat-exposure temperatures (650 °C, 750 °C, 950 °C and 1050 °C/200 h, respectively) were used to study the high-temperature tensile properties and microstructure evolution of welded joints; meanwhile, the formation and evolution of the second phases of the joints were analyzed. After EBW, the welded joint exhibited a typical nail morphology, and the fusion zone (FZ) consisted of columnar and cellular structures. During the solidification process of the molten pool, Mo elements are enriched in the dendrites and inter-dendrites, and that of Nb and Ti elements was enriched in the dendrites, which lead to forming a non-uniform distribution of Laves eutectic and MC carbides in the FZ. The microhardness of the FZ gradually increased during thermal exposure at 650 °C and reached 300–320 HV, and the γ′ and γ″ phases were gradually precipitated with size of about 50 nm. Meanwhile, the microhardness of the FZ decreased to 260–280 HV at 750 °C, and the higher temperature resulted in the coarsening of the γ″ phase (with a final size of about 100 nm) and the formation of the acicular δ-phase. At 950 °C and 1050 °C, the microhardness of FZ decreased sharply, reaching up to 170~190 HV and 160~180 HV, respectively. Moreover, the Laves eutectic and MC carbides are dissolved to a greater extent without the formation of γ″ and δ phases; as a result, the absent of γ″ and δ phases are attributed to the significant improvement of segregation at higher temperatures.

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A short review on machining deformation control of aero-engine thin-walled casings

Cited by 17 publications

References 85 publications

Calculation method for machining error of thin-walled parts based on on-machine measurement

Calculation method for machining error of thin-walled parts based on on-machine measurement

A method for expanding sampling area boundary based on on-machine measurement

Different Heat-Exposure Temperatures on the Microstructure and Properties of Dissimilar GH4169/IC10 Superalloy Vacuum Electron Beam Welded Joint

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