Search:
Computing and Library Services - delivering an inspiring information environment

A cuckoo search optimisation-based Grey prediction model for thermal error compensation on CNC machine tools

Abdulshahed, Ali, Longstaff, Andrew P. and Fletcher, Simon (2017) A cuckoo search optimisation-based Grey prediction model for thermal error compensation on CNC machine tools. Grey Systems: Theory and Application, 7 (2). pp. 146-155. ISSN 2043-9377

[img]
Preview
PDF - Published Version
Available under License Creative Commons Attribution.

Download (458kB) | Preview

Abstract

Purpose

The purpose of this paper is to produce an intelligent technique for modelling machine tool errors caused by the thermal distortion of Computer Numerical Control (CNC) machine tools. A new metaheuristic method, the cuckoo search (CS) algorithm, based on the life of a bird family is proposed to optimize the GMC(1, N) coefficients. It is then used to predict thermal error on a small vertical milling centre based on selected sensors.

Design/methodology/approach

A Grey model with convolution integral GMC(1, N) is used to design a thermal prediction model. To enhance the accuracy of the proposed model, the generation coefficients of GMC(1, N) are optimized using a new metaheuristic method, called the CS algorithm.

Findings

The results demonstrate good agreement between the experimental and predicted thermal error. It can therefore be concluded that it is possible to optimize a Grey model using the CS algorithm, which can be used to predict the thermal error of a CNC machine tool.

Originality/value

An attempt has been made for the first time to apply CS algorithm for calibrating the GMC(1, N) model. The proposed CS-based Grey model has been validated and compared with particle swarm optimization (PSO) based Grey model. Simulations and comparison show that the CS algorithm outperforms PSO and can act as an alternative optmization algorithm for Grey models that can be used for thermal error compensation.

Item Type: Article
Uncontrolled Keywords: GM(1,N), CNC, Cuckoo search, Machine tool errors
Subjects: T Technology > T Technology (General)
T Technology > TJ Mechanical engineering and machinery
Schools: School of Computing and Engineering
Related URLs:
Depositing User: Sara Taylor
Date Deposited: 07 Mar 2017 11:07
Last Modified: 17 Aug 2017 15:39
URI: http://eprints.hud.ac.uk/id/eprint/31451

Downloads

Downloads per month over past year

Repository Staff Only: item control page

View Item View Item

University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©