Skip Nav Destination
ASME Press Select Proceedings
International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-China 2011), Volumes 1–3
By
ISBN:
9780791859810
No. of Pages:
906
Publisher:
ASME Press
Publication date:
2011
eBook Chapter
77 Research on Vibration of Tandem Cold Rolling Mill Based on Testing Signal
By
Mi Kaifu
School of Mechanical Engineering, University of Science and Technology Beijing , Beijing , P. R. China ; mikaifu@sina.com
,
Mi Kaifu
Search for other works by this author on:
Zhang Jie
School of Mechanical Engineering, University of Science and Technology Beijing , Beijing , P. R. China
,
Zhang Jie
Search for other works by this author on:
Li Hongbo
School of Mechanical Engineering, University of Science and Technology Beijing , Beijing , P. R. China
,
Li Hongbo
Search for other works by this author on:
Liu Qianyong
School of Mechanical Engineering, University of Science and Technology Beijing , Beijing , P. R. China
,
Liu Qianyong
Search for other works by this author on:
Jia Shenghui
Cold Rolled Strip Plant, Wuhan Iron and Steel Co. Ltd. , Wuhan , P. R. China
,
Jia Shenghui
Search for other works by this author on:
Xiao Sheng
Cold Rolled Strip Plant, Wuhan Iron and Steel Co. Ltd. , Wuhan , P. R. China
Xiao Sheng
Search for other works by this author on:
Page Count:
5
-
Published:2011
Citation
Kaifu, M, Jie, Z, Hongbo, L, Qianyong, L, Shenghui, J, & Sheng, X. "Research on Vibration of Tandem Cold Rolling Mill Based on Testing Signal." International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-China 2011), Volumes 1–3. Ed. Xie, Y. ASME Press, 2011.
Download citation file:
In the light of chatter marks on the surface of high-class strip in 2180 tandem cold rolling mill, some comprehensive site tests were made. According to data analysis and inherent characteristics of vibration, the suspicious source of rolling mill vibration was found.
This content is only available via PDF.
You do not currently have access to this chapter.
Email alerts
Related Chapters
Neural Network Approach for the Prediction of Void Closure in Cold Rolling Process
Intelligent Engineering Systems through Artificial Neural Networks, Volume 20
Simulation of Steel Sheets Cold Rolling in Normal Friction Condition
International Conference on Control Engineering and Mechanical Design (CEMD 2017)
Automatic Language Identification of Three Indian Languages Using Vector Quantization
International Conference on Computer and Electrical Engineering 4th (ICCEE 2011)
Polar, Bode, and APHT Plots
Fundamentals of Rotating Machinery Diagnostics
Related Articles
Computational Method to Predict Three-Dimensional Chatter Vibration in Cold Rolling of Flat Metals
J. Manuf. Sci. Eng (April,2023)
Development and Testing of a Kilohertz Solar-to-Acoustic Energy Converter
J. Sol. Energy Eng (April,2017)
Analysis of the Effect of Strip Buckling on Stability of Strip
Lateral Motion With Application to Cold Rolling of Steel
J. Dyn. Sys., Meas., Control (January,2008)
