NDLI: Application of GRAM and AFSACA-BPN to thermal error optimization modeling of CNC machine tools

Content Provider	Springer Nature Link
Author	Guo, Qianjian Xu, Rufeng Yang, Tingyi He, Lei Cheng, Xiang Li, Zhiyong Yang, JG
Copyright Year	2015
Abstract	Thermal errors are major contributor to dimensional errors of a part during precision machining. Error compensation is an effective method to reduce thermal errors. Accurate modeling of thermal errors is a prerequisite for thermal error compensation. In this paper, five key temperature points of a computer numerical control (CNC) machine tool were selected based on grey relational analysis method (GRAM). One thermal error model based on the five key temperature points was proposed using artificial fish swarm and ant colony algorithm-based back-propagation neural network (AFSACA-BPN). AFS is applied to generate initial pheromone value of ACA, which improves the computational efficiency of BPNs and prediction accuracy of thermal error modeling. One thermal error real-time compensation system was developed based on the proposed model. An experiment was carried out to verify the performance of the compensation system. Experiment results show that the diameter error of the workpiece reduced from 23 to 10 μm after compensation.
Starting Page	995
Ending Page	1002
Page Count	8
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	83
Issue Number	5-8
e-ISSN	14333015
Language	English
Publisher	Springer London
Publisher Date	2015-08-05
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	CNC machine tool Thermal error modeling Artificial fish swarm Ant colony Artificial neural networks Industrial and Production Engineering Production Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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