Shiwei Liu

Dr. Shiwei Liu

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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22 July 2023 in International Journal of Mechanical Sciences
Verified
Journal Article
Closed access
SLShiwei Liu
Shiwei Liu
GPGaoliang Peng
Gaoliang Peng
ZLZhixiong Li
Zhixiong Li
WLWeihua Li
Weihua Li
LSLidong Sun
Lidong Sun

1 March 2022 in Applied Mathematical Modelling
Verified
Journal Article
Closed access
SLShiwei Liu
Shiwei Liu
GPGaoliang Peng
Gaoliang Peng
KJKang Jin
Kang Jin

13 October 2022 in Mechanism and Machine Theory
Verified
Journal Article
Closed access
SLShiwei Liu
Shiwei Liu
GPGaoliang Peng
Gaoliang Peng
ZLZhixiong Li
Zhixiong Li
WLWeihua Li
Weihua Li
KJKang Jin
Kang Jin
HLHongzhao Lin
Hongzhao Lin

18 May 2022 in Machines
Verified
Journal Article
Open access
PDF file
YXYuan Xue
Yuan Xue
ZSzezhong sun
zezhong sun
SLShiwei Liu
Shiwei Liu
DGDong Gao
Dong Gao
ZXZefan Xu
Zefan Xu
A large component flexible manufacturing system provides more application scenarios for industrial robots, and, in turn, these robots exhibit competitive advantages in machining applications. However, the structural characteristic of low stiffness is the main obstacle for the industrial robot. Aiming at obtaining sufficient stiffness in the whole machining process, this paper focuses on robot placement optimization in the flexible manufacturing of large components. The geometric center of the machined feature is selected as, firstly, the base point, and the center-reachable placement space of the robot base is obtained by establishing the kinematic model considering a variety of motion constraints. Then, according to the reachability of the machining feature contour, the global placement space meeting all machining boundaries is further extracted. The mapping relationship between joint force and posture is established, and the most suitable robot placement is selected based on the criterion of global stiffness optimization. A series of numerical and finite element simulations verify the correctness and effectiveness of the proposed optimization strategy. The developed stiffness-oriented placement planning algorithm can provide beneficial references for robotic machining applications.

30 October 2024 in International Journal of Mechanical Sciences
Verified
Journal Article
Closed access
SLShiwei Liu
Shiwei Liu
SLShengnan Lyu
Shengnan Lyu
XXXiyao Xing
Xiyao Xing
XDXilun Ding
Xilun Ding

2 February 2023 in Composite Structures
Verified
Journal Article
Closed access
SLShiwei Liu
Shiwei Liu
GPGaoliang Peng
Gaoliang Peng
ZLZhixiong Li
Zhixiong Li
WLWeihua Li
Weihua Li
KJKang Jin
Kang Jin