Cheng Qiang

Personal profile

Name: Cheng Qiang

Gender: male

Degrees: Ph.D.

Title: Professor

E-mail: Chengqiang@bjut.edu.cn

Current Professional Societies

1. Special commissioner of Science and Technology Department of Guangdong Province;

2. Senior member of China Society of Mechanical Engineering.

Research Areas

1.Reliability design and precision retention design of CNC machine tool

2.State monitoring technology for high-end manufacturing equipment

3. Intelligent manufacturing production line planning and process analysis decision

4.Product adaptable design and robust design method

Honors

1.Beijing Nova program

2.Rixin talent of Beijing University of Technology

3. One hundred youth of Beijing University of Technology

Publications

1. Qiang Cheng Baobao Qi Zhifeng Liu(*)Caixia Zhang Deyi Xue, An accuracy degradation analysis of ball   screw mechanism considering time-varying motion and loading working   conditions, Mechanism and Machine Theory 134 (2019) 123

2. Qiang Cheng Hongwei Zhao Yongsheng Zhao(*)Bingwei Sun Peihua Gu, Machining accuracy reliability analysis of   multi-axis machine tool based on Monte Carlo simulation, Journal of   Intelligent Manufacturing, 2018, 29:191209

3. Qiang Cheng, Guojun Zhang(*), Peihua Gu and Xinyu Shao,   A product module identification approach based on axiomatic design and design   structure matrix, Concurrent Engineering: Research and   Applications,2012,20(3) 185194

4. Qiang Cheng, Hongwei Zhao, Guojun Zhang(*) ,Peihua Gu,   Ligang Cai, An analytical approach for crucial geometric errors   identification of multi-axis machine tool based on global sensitivity   analysis, International Journal of Advanced Manufacturing Technology, 2014,   75:107121

5. Qiang Cheng, Bingwei   Sun, Zhifeng Liu(*), Qiunan Feng and Peihua Gu. Geometric error compensation   method based on Floyd algorithm and product of exponential screw theory.   Proceedings of the Institution of Mechanical Engineers Part B: Journal of   Engineering Manufacture, 2016

6. Qiang ChengZhuo QiGuojun Zhang(*) Yongsheng Zhao Bingwei SunPeihua GuRobust modelling and prediction   of thermally induced positional error based on grey rough set theory and   neural networksInt J   Adv Manuf Technol 201683:753764

7. Zhifeng Liu, Jun Yan, Qiang Cheng (*), Congbin Yang, Shuwen Sun,Deyi Xue. The mixed production mode considering continuous and intermittent processing for an energy-efficient hybrid flow shop scheduling, Journal of Cleaner Production, 2020,246:1-17

8.Ziling Zhang, Yin Qi, Qiang Cheng(*), Zhifeng Liu, Zhiqiang Tao, Ligang Cai. Machining accuracy reliability during the peripheral milling process of thinwalled components. Robotics and Computer Integrated Manufacturing, 2019,59: 222234

9. LigangCai, ZilingZhang, Qiang Cheng*, et al. An approach to optimize the machining accuracy   retainability of multi-axis NC machine tool based on robust design. Precision   Engineering, 2016, 43:370-386

10.Ziling Zhang,Ligang Cai, Qiang Cheng*,Zhifeng Liu, Peihua Gu. A geometric error budget method   to improve machining accuracy reliability of multi-axis machine tools.   Journal of Intelligent Manufacturing, 2016(1):1-25

Personal statement

He is a professor and a doctoral   supervisor of college of mechanical engineering and applied electronics and   technology. He has successively undertaken more than 10 projects, such as national   natural science foundation of China, national "863 plan" project, national science and technology major special project, central military   commission pre-research project of decoration and development, Beijing   science and technology new star plan and several enterprise entrusted projects.   He has published more than 60 SCI papers and more than 20 EI papers. He has   applied for 42 national invention patents as the first inventor, and has been   authorized 20 patents. In 2013, he won the second prize of Beijing science   and technology award. In 2016, he won the first prize of industrial science   and technology award of China machinery industry federation. In 2018, he won the first prize of Beijing science and technology award in 2018. In 2019, he won the second prize of Beijing science and technology award and the second prize of industrial science and technology award of China machinery industry federation.