Multi-Level Search Algorithm for Roundness Error Evaluation by the Minimum Zone Circle Method

DOI

10.2991/ifmeita-16.2016.57How to use a DOI?

Keywords

Roundness, Error evaluation, Minimum zone circle, Multi-Level search

Abstract

To rapidly and accurately evaluate minimum zone roundness error, a multi-level search algorithm (MLSA) was proposed. The algorithm at the premise of a fixed amount search point of each layer, by narrowing the length of the search area to narrow the search step until the required accuracy so far, in order to achieve a refined search. Optimize the number of each layer search mesh points to improve search efficiency. The center of all the measured points is the center of the initial layer search region, and the corresponding roundness error is the side of the initial layer research region. In the search process, take step size in search as the termination conditions, and by zone parallel translation jump out of local near optimized point. Examples of the three groups showed, assessed precision in the millisecond-level computation time can be achieved 10-15mm. MLSA for evaluating the minimum zone roundness error with higher precision, faster speed, good stability, simple and easy to implement, suitable for rapid evaluation of high-precision roundness error.

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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TY  - CONF
AU  - Li Huo
AU  - Yuan Wang
AU  - Chunyu Zhao
AU  - Ying Dong
PY  - 2016/01
DA  - 2016/01
TI  - Multi-Level Search Algorithm for Roundness Error Evaluation by the Minimum Zone Circle Method
BT  - Proceedings of the 2016 International Forum on Management, Education and Information Technology Application
PB  - Atlantis Press
SP  - 303
EP  - 309
SN  - 2352-5398
UR  - https://doi.org/10.2991/ifmeita-16.2016.57
DO  - 10.2991/ifmeita-16.2016.57
ID  - Huo2016/01
ER  -