Multi-Level Search Algorithm for Roundness Error Evaluation by the Minimum Zone Circle Method
Li Huo, Yuan Wang, Chunyu Zhao, Ying Dong
Available Online January 2016.
- https://doi.org/10.2991/ifmeita-16.2016.57How to use a DOI?
- Roundness, Error evaluation, Minimum zone circle, Multi-Level search
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/ifmeita-16.2016.57 ID - Huo2016/01 ER -