Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)

Optimization analysis of pre tightening pressure of NC rebar length measure system based on response surface methodology

Authors
Shenghao Tong, Ke Zhang, Songhua Li, Yanze Long
Corresponding Author
Shenghao Tong
Available Online May 2017.
DOI
https://doi.org/10.2991/icmeit-17.2017.11How to use a DOI?
Keywords
Rebar straightening machine, length measure, pre tightening pressure.
Abstract
The pre tightening pressure of the length measuring wheel was optimized by response surface methodology in the self-developed NC length measure of bar system, the pre tightening pressure and external load are set as the input parameter variable, the stress of the length measuring wheel is set as an output parameter variable, establish continuous variable surface model. Evaluate the interactive factors that influence the vibration and wear of the length measuring wheel, make up for the deficiency of the traditional single variable optimization analysis. Using the response surface method analysis the influence of pre tightening pressure and external load force on the length measuring wheel, the result shows that the pre tightening force has great influence on the stress of the length measuring wheel, while the external load force has little influence on it, so it is showed that there is a great relationship between the wear and pre tightening pressure of the length measuring wheel, get the optimal preload value, the reference is provided for the operator of the straightening machine.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Shenghao Tong
AU  - Ke Zhang
AU  - Songhua Li
AU  - Yanze Long
PY  - 2017/05
DA  - 2017/05
TI  - Optimization analysis of pre tightening pressure of NC rebar length measure system based on response surface methodology
BT  - Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SP  - 61
EP  - 64
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.11
DO  - https://doi.org/10.2991/icmeit-17.2017.11
ID  - Tong2017/05
ER  -