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1.

Machine Tool 4.0 for the new era of manufacturing
by Xu, Xun

International journal of advanced manufacturing technology, 2017, Vol.92 (5-8), p.1893-1900

5.

Kinematic errors prediction for multi-axis machine tools’ guideways based on tolerance
by Fan, Jinwei

International journal of advanced manufacturing technology, 2018, Vol.98 (5-8), p.1131-1144

6.

Energy consumption characteristics of turn-mill machining
by Moradnazhad, Mariyeh

International journal of advanced manufacturing technology, 2016, Vol.91 (5-8), p.1991-2016

9.

Electrical energy consumption of CNC machine tools based on empirical modeling
by Jiang, Zhipeng

International journal of advanced manufacturing technology, 2018, Vol.100 (9-12), p.2255-2267

10.

Machine tool thermal error modeling and prediction by grey neural network
by Zhang, Yi

International journal of advanced manufacturing technology, 2011, Vol.59 (9-12), p.1065-1072

13.

Comprehensive thermal compensation of the servo axes of CNC machine tools
by Liu, Kuo

International journal of advanced manufacturing technology, 2015, Vol.85 (9-12), p.2715-2728

14.

A sensitivity method to analyze the volumetric error of five-axis machine tool
by Li, Qingzhao

International journal of advanced manufacturing technology, 2018, Vol.98 (5-8), p.1791-1805

16.

Adaptive real-time model on thermal error of ball screw feed drive systems of CNC machine tools
by Li, Tie-jun

International journal of advanced manufacturing technology, 2017, Vol.94 (9-12), p.3853-3861

18.

A reconstructed variable regression method for thermal error modeling of machine tools
by Li, Yang

International journal of advanced manufacturing technology, 2016, Vol.90 (9-12), p.3673-3684

19.

Integrated geometric and thermal error modeling and compensation for vertical machining centers
by Li, Zihan

International journal of advanced manufacturing technology, 2014, Vol.76 (5-8), p.1139-1150

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