An efficient prediction method for the dynamic deformation of thin-walled parts in flank milling

Ge, Guangyan; Xiao, Yukun; Feng, Xiaobing; Du, Zhengchun

doi:10.1016/j.cad.2022.103401

Cited by 14 publications

(4 citation statements)

References 32 publications

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“…The experiment results revealed that the proposed method obtained similar accuracy to the finite element methods, but cost less than 62.0% of their computational time [7].…”

Section: Hence the Paper Further Recommends This Study Sets The Stage...mentioning

confidence: 88%

Trends in Current European Scientific and Academic Discourse on the Example of Abstracts

Ivanova¹,

Potapenko²

2022

"Scientific notes of V. I. Vernadsky Taurida National Universit

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Дослідження присвячено вивченню особливостей укладання анотацій для закордонних журналів з урахуванням швидких мовномодифікаційних процесів. Мета дослідження -визначити основні тенденції сучасного європейського науково-академічного дискурсу та охарактеризувати його формально-змістові риси на прикладі анотацій. У процесі дослідження використано метод контент-аналізу та компаративного аналізу, а також типологічний із метою виокремлення сутнісних ознак досліджуваного явища. Розкрито сутність і розмежовано поняття abstract і summary. Виокремлено функції анотації до наукової статті як формату вторинної комунікації. Проаналізовано анотації до наукових статей європейських видань із орієнтацією на форму і змістове наповнення за двома критеріями: композиційно-структурним і лексикограматичним. Матеріалом дослідження слугували анотації до статей провідних європейських журналів із рубриками різних наукових галузей, як-от Design, Computer Engineering, Economics,

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“…The experiment results revealed that the proposed method obtained similar accuracy to the finite element methods, but cost less than 62.0% of their computational time [7].…”

Section: Hence the Paper Further Recommends This Study Sets The Stage...mentioning

confidence: 88%

Trends in Current European Scientific and Academic Discourse on the Example of Abstracts

Ivanova¹,

Potapenko²

2022

"Scientific notes of V. I. Vernadsky Taurida National Universit

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“…Zhao and Zheng et al [ 17 ] considered the time-varying characteristics of cutting conditions for thin-walled parts during the material removal process, and they established an online first-order machining error compensation model for thin-walled parts, which is corrected using the OMM results of the current machining layer for the compensation processing of the subsequent layer. Ge et al [ 18 ] considered not only the influence of the material removal effect but also the coupling effect between compensation value and workpiece deformation and proposed a compensation algorithm without iterative processing.…”

Section: Literature Reviewmentioning

confidence: 99%

Adaptive Optimization Method for Prediction and Compensation of Thin-Walled Parts Machining Deformation Based on On-Machine Measurement

Wu,

Wang,

Wang

et al. 2024

Sensors

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Thin-walled aluminum alloy parts are widely used in the aerospace field because of their favorable characteristics that cater to various applications. However, they are easily deformed during milling, leading to a low pass rate of workpieces. On the basis of on-machine measurement (OMM) and surrogate stiffness models (SSMs), we developed an iterative optimization compensation method in this study to overcome the machining deformation of thin-walled parts. In the error compensation process, the time-varying factors of workpiece stiffness and the impact of prediction model errors were considered. First, we performed machining deformation simulation and information extraction on the key nodes of the machined surface, and an SSM containing the stiffness information of discrete nodes of each cutting layer was established. Subsequently, the machining errors were monitored through intermittent OMM to suppress the adverse impact of prediction model errors. Further, an interlayer correction coefficient was introduced in the compensation process to iteratively correct the prediction model error of each node in the SSM along the depth direction, and a correction coefficient between parts was introduced to realize the iterative correction of the prediction model for the same node position between different parts. Finally, the feasibility of the proposed method was verified through multiple sets of actual machining experiments on thin-walled parts with added pads.

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“…Due to the low stiffness of thin-walled components, large machining deformation will occur under the condition of large cutting depth, which seriously affects the machining quality. Therefore, layered milling is often used for the machining of complex thinwalled components [5]. The sampling area can compensate for machining deformation well in each layer of milling, but the deformation in the edge area cannot be controlled.…”

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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An efficient prediction method for the dynamic deformation of thin-walled parts in flank milling

Cited by 14 publications

References 32 publications

Trends in Current European Scientific and Academic Discourse on the Example of Abstracts

Trends in Current European Scientific and Academic Discourse on the Example of Abstracts

Adaptive Optimization Method for Prediction and Compensation of Thin-Walled Parts Machining Deformation Based on On-Machine Measurement

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

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