Yu Guo

Prof. Yu Guo


Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

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

Representative Publications

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5 April 2022 in International Journal of Production Research
Verified
Journal Article
Closed access
Litong ZhangLitong Zhang
Litong Zhang
YGYu Guo
Yu Guo
WQWeiwei Qian
Weiwei Qian
WWWeili Wang
Weili Wang
DLDaoyuan Liu
Daoyuan Liu
SLSai Liu
Sai Liu
Aiming at the difficulties in modelling, simulation and verification in digital twin workshop, a modelling and online training method for digital twin workshop is proposed. This paper describes a multi-level digital twin aggregate modelling method, including the status attributes, the static performance attributes and the fluctuation performance attributes, and designs a digital twin organisation system, namely, digital twin graph. According to the data demand for digital twin aggregates, a spatio-temporal data model is constructed. The digital twin model training method using truncated normal distribution is presented. Furthermore, a verification method based on real-virtual error for a digital twin model is proposed. The effectiveness of real-time status monitoring, online model training and simulation for production is verified by a case.

21 September 2023 in Journal of Manufacturing Systems
Verified
Journal Article
Closed access
WQWeiwei Qian
Weiwei Qian
YGYu Guo
Yu Guo
LZLitong Zhang
Litong Zhang
SWShengbo Wang
Shengbo Wang
SHShaohua Huang
Shaohua Huang
SGSai Geng
Sai Geng

11 February 2021 in Journal of Computing and Information Science in Engineering
Verified
Journal Article
Closed access
PDF file
WQWeiwei Qian
Weiwei Qian
YGYu Guo
Yu Guo
KCKai Cui
Kai Cui
PWPengxing Wu
Pengxing Wu
WFWeiguang Fang
Weiguang Fang
DLDaoyuan Liu
Daoyuan Liu

9 May 2023 in Journal of Computing and Information Science in Engineering
Verified
Journal Article
Closed access
PDF file
WFWeiguang Fang
Weiguang Fang
HZHao Zhang
Hao Zhang
WQWeiwei Qian
Weiwei Qian
YGYu Guo
Yu Guo
SLShaoxun Li
Shaoxun Li
DHDongpao Hong
Dongpao Hong

4 February 2025 in Journal of Manufacturing Systems
Verified
Journal Article
Closed access
SWShengbo Wang
Shengbo Wang
YGYu Guo
Yu Guo
SHShaohua Huang
Shaohua Huang
RLRuixi Lai
Ruixi Lai
Litong ZhangLitong Zhang
Litong Zhang
WQWeiwei Qian
Weiwei Qian

10 August 2023 in Micromachines
Verified
Journal Article
Open access
PDF file
SDShuang Deng
Shuang Deng
YGYu Guo
Yu Guo
LSLu Songsong
Lu Songsong
Micro-hole is widely used in various fields, and common machining methods of micro-hole in factories are drilling and electrical discharge machining (EDM), but because of low machining efficiency, these methods cannot meet requirements. Therefore, it is urgent to investigate a high efficient micro-hole machining technology to meet the demands of micro-hole machining in factory. Over past few decades, ultrasonic machining technology has developed rapidly and achieved good results in solving many critical machining problems in field of difficult-to-cut materials. Therefore, this paper builds an ultrasonic vibration-assisted drilling (UAD) experiments platform to combine micro-fine small hole drilling with ultrasonic machining technology for micro-hole multi-factor experimental research. Results show that UAD machining of micro-hole below diameter 0.5 mm is comparable to conventional drilling machining because of its high-frequency pulse intermittent cutting process, stable change in machining diameter, good stability of parameters such as shape tolerance roundness and cylindricity, small cutting force during cutting, small tool wear, and small surface roughness of inner wall of micro-hole. Compared with EDM, UAD has high efficiency and good stability of parameters such as diameter and roundness of shape tolerance. Comprehensive analysis of UAD can be used as an alternative technology solution for machining small holes in non-special requirements of metal materials in factory and has technical feasibility of stable batch production.