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Refinado por: Base de dados/Biblioteca: SpringerLink remover Machining remover
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1
A review identifying the effectiveness of minimum quantity lubrication (MQL) during conventional machining
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A review identifying the effectiveness of minimum quantity lubrication (MQL) during conventional machining

Boswell, B. ; Islam, M.N. ; Davies, Ian J. ; Ginting, Y. R. ; Ong, Ai Keem

International journal of advanced manufacturing technology, 2017-09, Vol.92 (1-4), p.321-340 [Periódico revisado por pares]

London: Springer London

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2
Thermal analysis during turning of AZ31 magnesium alloy under dry and cryogenic conditions
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Thermal analysis during turning of AZ31 magnesium alloy under dry and cryogenic conditions

Danish, Mohd ; Ginta, Turnad Lenggo ; Habib, Khairul ; Carou, Diego ; Rani, Ahmad Majdi Abdul ; Saha, Bidyut Baran

International journal of advanced manufacturing technology, 2017-07, Vol.91 (5-8), p.2855-2868 [Periódico revisado por pares]

London: Springer London

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3
Thermal error compensation of high-speed spindle system based on a modified BP neural network
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Thermal error compensation of high-speed spindle system based on a modified BP neural network

Ma, Chi ; Zhao, Liang ; Mei, Xuesong ; Shi, Hu ; Yang, Jun

International journal of advanced manufacturing technology, 2017-04, Vol.89 (9-12), p.3071-3085 [Periódico revisado por pares]

London: Springer London

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4
Thermal error modeling of machine tool spindle based on the improved algorithm optimized BP neural network
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Thermal error modeling of machine tool spindle based on the improved algorithm optimized BP neural network

Li, Bo ; Tian, Xitian ; Zhang, Min

International journal of advanced manufacturing technology, 2019-11, Vol.105 (1-4), p.1497-1505 [Periódico revisado por pares]

London: Springer London

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5
Spindle thermal error robust modeling using LASSO and LS-SVM
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Spindle thermal error robust modeling using LASSO and LS-SVM

Tan, Feng ; Yin, Ming ; Wang, Lin ; Yin, Guofu

International journal of advanced manufacturing technology, 2018-02, Vol.94 (5-8), p.2861-2874 [Periódico revisado por pares]

London: Springer London

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6
Volumetric error modeling and sensitivity analysis for designing a five-axis ultra-precision machine tool
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Volumetric error modeling and sensitivity analysis for designing a five-axis ultra-precision machine tool

Chen, Guoda ; Liang, Yingchun ; Sun, Yazhou ; Chen, Wanqun ; Wang, Bo

International journal of advanced manufacturing technology, 2013-10, Vol.68 (9-12), p.2525-2534 [Periódico revisado por pares]

London: Springer London

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7
Robust machine tool thermal error compensation modelling based on temperature-sensitive interval segmentation modelling technology
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Robust machine tool thermal error compensation modelling based on temperature-sensitive interval segmentation modelling technology

Liu, Yunsheng ; Miao, Enming ; Liu, Hui ; Chen, Yangyang

International journal of advanced manufacturing technology, 2020, Vol.106 (1-2), p.655-669 [Periódico revisado por pares]

London: Springer London

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8
Engine blade regeneration: a literature review on common technologies in terms of machining
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Engine blade regeneration: a literature review on common technologies in terms of machining

Denkena, Berend ; Boess, Volker ; Nespor, Dennis ; Floeter, Felix ; Rust, Felix

International journal of advanced manufacturing technology, 2015-11, Vol.81 (5-8), p.917-924 [Periódico revisado por pares]

London: Springer London

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9
A geometric error budget method to improve machining accuracy reliability of multi-axis machine tools
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A geometric error budget method to improve machining accuracy reliability of multi-axis machine tools

Zhang, Ziling ; Cai, Ligang ; Cheng, Qiang ; Liu, Zhifeng ; Gu, Peihua

Journal of intelligent manufacturing, 2019-02, Vol.30 (2), p.495-519 [Periódico revisado por pares]

New York: Springer US

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10
Integrated thermal error modeling of machine tool spindle using a chicken swarm optimization algorithm-based radial basic function neural network
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Integrated thermal error modeling of machine tool spindle using a chicken swarm optimization algorithm-based radial basic function neural network

Fu, Guoqiang ; Gong, Hongwei ; Gao, Hongli ; Gu, Tengda ; Cao, Zhongqing

International journal of advanced manufacturing technology, 2019-12, Vol.105 (5-6), p.2039-2055 [Periódico revisado por pares]

London: Springer London

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