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The International Journal of Advanced Manufacturing Technology
Erschienen in: The International Journal of Advanced Manufacturing Technology 9-12/2019

04.07.2019 | ORIGINAL ARTICLE

Analysis of machining deformation for adaptive CNC machining technology of near-net-shaped jet engine blade

verfasst von: Dongbo Wu, Hui Wang, Jinsong Peng, Kaiyao Zhang, Jie Yu, Yuan Li, Maomin Wang, Xindong Zhang

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 9-12/2019

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Abstract

Near-net-shaped process (NNSP) will be one of important development trend in TC4 blade manufacturing, while the blade precise machining after NNSP is a challenge. This paper analyzes the machining deformation of blade under the rigid-flexible coupling fixture (RFCF) and adaptive computer numerical control machining process (ACNCMP). Firstly, positioning and clamping scheme (PCS) of RFCF were introduced and analyzed, especially new material (PEEK-GF30) and new structure of RFCF were used in fixture manufacturing. Secondly, theoretical mechanic model of RFCF and blade was proposed. Thirdly, empirical model of cutting force and the main cutting parameters was established and analyzed by orthogonal cutting experiment (OCE). Fourthly, blade deformation under cutting force was analyzed by FEA and experiment. The results show that blade cutting deformation is a whole elastic deformation of 0.056mm which is acceptable for machining accuracy target of 0.1mm. The proposed RFCF can protect blade from occurring local deformation, and is of better application value in ACNCMP of NNSP blade.
Vorheriger Artikel Numerical and experimental investigation on material flow in gear forced throughfeed rolling process
Nächster Artikel Investigation of electrochemical post-processing procedure for Ti-6Al-4V lattice structure manufactured by direct metal laser sintering (DMLS)

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Metadaten
Titel
Analysis of machining deformation for adaptive CNC machining technology of near-net-shaped jet engine blade
verfasst von
Dongbo Wu
Hui Wang
Jinsong Peng
Kaiyao Zhang
Jie Yu
Yuan Li
Maomin Wang
Xindong Zhang
Publikationsdatum
04.07.2019
Verlag
Springer London
Erschienen in
The International Journal of Advanced Manufacturing Technology / Ausgabe 9-12/2019
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-019-03898-6

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