Xinyong Mao

Xinyong Mao

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 December 2017 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
YPYili Peng
Yili Peng
BLBin Li
Bin Li
XMXinyong Mao
Xinyong Mao
HLHongqi Liu
Hongqi Liu
CQChao Qin
Chao Qin
HHHuanbin He
Huanbin He

15 August 2018 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
JZJi Zhou
Ji Zhou
XMXinyong Mao
Xinyong Mao
HLHongqi Liu
Hongqi Liu
BLBin Li
Bin Li
YPYili Peng
Yili Peng

19 August 2019 in International Journal of Precision Engineering and Manufacturing
Verified
Journal Article
Closed access
PDF file
XZXuemin Zhong
Xuemin Zhong
XLXing Liu
Xing Liu
XMXinyong Mao
Xinyong Mao
BLBin Li
Bin Li

2 April 2019 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
BLBin Li
Bin Li
LLLiangjie Li
Liangjie Li
HHHuanbin He
Huanbin He
XMXinyong Mao
Xinyong Mao
XJXuchu Jiang
Xuchu Jiang
YPYili Peng
Yili Peng

5 November 2015 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
XLXing Liu
Xing Liu
STShengbing Tang
Shengbing Tang
SHsongping he
songping he
BLBin Li
Bin Li
XMXinyong Mao
Xinyong Mao
FPFangyu Peng
Fangyu Peng

15 December 2021 in Processes
Verified
Journal Article
Open access
PDF file
CLChunhui Li
Chunhui Li
ZSZhiqiang Song
Zhiqiang Song
XHXianghua Huang
Xianghua Huang
HZHui Zhao
Hui Zhao
XJXuchu Jiang
Xuchu Jiang
XMXinyong Mao
Xinyong Mao
Dynamic parameters are the intermediate information of the entirety of machine dynamics. The differences between components have not been combined with the structural vibration in the cutting process, so it is difficult to directly represent the dynamic characteristics of the whole machine related to spatial position. This paper presents a method to identify sensitive parts according to the dynamic stiffness-sensitivity algorithm, which represents the dynamic characteristics of the whole machine tool. In this study, two experiments were carried out, the simulation verification experiment (dynamic experiment with variable stiffness) and modal analysis experiment (vibration test of five-axis gantry milling machine). The key modes of sensitive parts obtained by this method can represent the position-related dynamic characteristics of the whole machine. The characteristic obtained is that the inherent properties of machine-tool structure are independent of excitation. The method proposed in this paper can accurately represent the dynamic characteristics of the whole machine tool.