A New Error Prediction Method for Machining Process Based on a Combined Model
Joint Authors
Ran, Yan
Zhou, Wei
Zhu, Xiao
Wang, Jun
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-16
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Machining process is characterized by randomness, nonlinearity, and uncertainty, leading to the dynamic changes of machine tool machining errors.
In this paper, a novel model combining the data processing merits of metabolic grey model (MGM) with that of nonlinear autoregressive (NAR) neural network is proposed for machining error prediction.
The advantages and disadvantages of MGM and NAR neural network are introduced in detail, respectively.
The combined model first utilizes MGM to predict the original error data and then uses NAR neural network to forecast the residual series of MGM.
An experiment on the spindle machining is carried out, and a series of experimental data is used to validate the prediction performance of the combined model.
The comparison of the experiment results indicates that combined model performs better than the individual model.
The two-stage prediction of the combined model is characterized by high accuracy, fast speed, and robustness and can be applied to other complex machining error predictions.
American Psychological Association (APA)
Zhou, Wei& Zhu, Xiao& Wang, Jun& Ran, Yan. 2018. A New Error Prediction Method for Machining Process Based on a Combined Model. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1207021
Modern Language Association (MLA)
Zhou, Wei…[et al.]. A New Error Prediction Method for Machining Process Based on a Combined Model. Mathematical Problems in Engineering No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1207021
American Medical Association (AMA)
Zhou, Wei& Zhu, Xiao& Wang, Jun& Ran, Yan. A New Error Prediction Method for Machining Process Based on a Combined Model. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1207021
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1207021