Study on transformation method of numerically-controlled machine tool

DOI

10.2991/amcce-15.2015.226How to use a DOI?

Keywords

numerically-controlled machine tool; support vector machine; prediction model;

Abstract

In the research of the transformation method of numerically-controlled machine tool (NC machine), due to the current methods exist the problem of that for solving process is complex and the optimization process is easy to fall into local optimal solution, a transformation method of NC machine based on improved particle swarm optimization algorithm is presented. Firstly, particle swarm algorithm and the training parameters of support vector machine (SVM) are fused, to set up the prediction model of transformation state based optimization SVM for NC machine. And then the genetic algorithm is introduced, in addition, real number coding rules and improved genetic operators are applied to optimize the design of NC machine’s spindle, to accurately complete the transformation of NC machine. Simulation results show that the accuracy of the transformation method of NC machine, based on improved particle swarm algorithm proposed in this paper is high, and practicability is strong which can meet the application requirements of the transformation of NC machine.

Copyright

© 2015, 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  - Baojin Meng
PY  - 2015/04
DA  - 2015/04
TI  - Study on transformation method of numerically-controlled machine tool
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.226
DO  - 10.2991/amcce-15.2015.226
ID  - Meng2015/04
ER  -