Proceedings of the 2015 2nd International Forum on Electrical Engineering and Automation (IFEEA 2015)

Research on the Straightening Stroke Prediction Precision of Guide

Authors
Hong Lu, Sheng Gao, Jianwen Chen, Xiong Xiao, Fengren Yi
Corresponding Author
Hong Lu
Available Online January 2016.
DOI
10.2991/ifeea-15.2016.44How to use a DOI?
Keywords
Linear Guide; Straightening; Stroke Prediction Model; Strain Measure
Abstract

In order to improve straightening precision and efficiency, theory analysis and experiment is adopted to build straightening stroke prediction model. A theoretical prediction model is built and analyzed based on elastic-plastic theory. Then, a strain measuring scheme is proposed based on wireless sensing technology, which can detect strain of guide online. Another prediction model is established depend on experiment data. A proving experiment is conducted to compare three stroke prediction model built by elastic-plastic theory, Finite Element Analysis (FEA) and strain measuring experiment. Finally, a predicted model with minimal error was come up with for improving straightening precision.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 2nd International Forum on Electrical Engineering and Automation (IFEEA 2015)
Series
Advances in Engineering Research
Publication Date
January 2016
ISBN
978-94-6252-153-7
ISSN
2352-5401
DOI
10.2991/ifeea-15.2016.44How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hong Lu
AU  - Sheng Gao
AU  - Jianwen Chen
AU  - Xiong Xiao
AU  - Fengren Yi
PY  - 2016/01
DA  - 2016/01
TI  - Research on the Straightening Stroke Prediction Precision of Guide
BT  - Proceedings of the 2015 2nd International Forum on Electrical Engineering and Automation (IFEEA 2015)
PB  - Atlantis Press
SP  - 214
EP  - 217
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifeea-15.2016.44
DO  - 10.2991/ifeea-15.2016.44
ID  - Lu2016/01
ER  -