A particle swarm optimisation-based grey prediction model for thermal error compensation on CNC machine tools

Ali M. Abdulshahed; Andrew P. Longstaff; Simon Fletcher

A particle swarm optimisation-based grey prediction model for thermal error compensation on CNC machine tools

Ali M. Abdulshahed, Andrew P. Longstaff, Simon Fletcher

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Thermal errors can have a significant effect on CNC machine tool accuracy. The thermal error compensation system has become a cost-effective method of improving machine tool accuracy in recent years. In the presented paper, the Grey relational analysis (GRA) was employed to obtain the similarity degrees between fixed temperature sensors and the thermal response of the CNC machine tool structure. Subsequently, a new Grey model with convolution integral GMC(1, N) is used to design a thermal prediction model. To improve the accuracy of the proposed model, the generation coefficients of GMC(1, N) are calibrated using an adaptive Particle Swarm Optimisation (PSO) algorithm. The results demonstrate good agreement between the experimental and predicted thermal error. Finally, the capabilities and the limitations of the model for thermal error compensation have been discussed.

Original language	English
Title of host publication	Laser Metrology and Machine Performance XI - 11th International Conference and Exhibition on Laser Metrology, Machine Tool, CMM and Robotic Performance, LAMDAMAP 2015
Publisher	euspen
Pages	363-372
Number of pages	10
ISBN (Electronic)	9780956679055
Publication status	Published - 2015
Event	11th International Conference and Exhibition on Laser Metrology, Coordinate Measuring Machine and Machine Tool Performance - Huddersfield, United Kingdom Duration: 17 Mar 2015 → 18 Mar 2015 Conference number: 11

Conference

Conference	11th International Conference and Exhibition on Laser Metrology, Coordinate Measuring Machine and Machine Tool Performance
Abbreviated title	LAMDAMAP 2015
Country/Territory	United Kingdom
City	Huddersfield
Period	17/03/15 → 18/03/15

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https://www.euspen.eu/knowledge-base/LAMP15137.pdfLicence: Unspecified

Cite this

Abdulshahed, A. M., Longstaff, A. P., & Fletcher, S. (2015). A particle swarm optimisation-based grey prediction model for thermal error compensation on CNC machine tools. In Laser Metrology and Machine Performance XI - 11th International Conference and Exhibition on Laser Metrology, Machine Tool, CMM and Robotic Performance, LAMDAMAP 2015 (pp. 363-372). euspen. https://www.euspen.eu/knowledge-base/LAMP15137.pdf

Abdulshahed, Ali M. ; Longstaff, Andrew P. ; Fletcher, Simon. / A particle swarm optimisation-based grey prediction model for thermal error compensation on CNC machine tools. Laser Metrology and Machine Performance XI - 11th International Conference and Exhibition on Laser Metrology, Machine Tool, CMM and Robotic Performance, LAMDAMAP 2015. euspen, 2015. pp. 363-372

@inproceedings{9106720bdd5a4814905ad7883555bb2d,

title = "A particle swarm optimisation-based grey prediction model for thermal error compensation on CNC machine tools",

abstract = "Thermal errors can have a significant effect on CNC machine tool accuracy. The thermal error compensation system has become a cost-effective method of improving machine tool accuracy in recent years. In the presented paper, the Grey relational analysis (GRA) was employed to obtain the similarity degrees between fixed temperature sensors and the thermal response of the CNC machine tool structure. Subsequently, a new Grey model with convolution integral GMC(1, N) is used to design a thermal prediction model. To improve the accuracy of the proposed model, the generation coefficients of GMC(1, N) are calibrated using an adaptive Particle Swarm Optimisation (PSO) algorithm. The results demonstrate good agreement between the experimental and predicted thermal error. Finally, the capabilities and the limitations of the model for thermal error compensation have been discussed.",

keywords = "Coordinate measuring machines, Computer control systems, Particle swarm optimization (PSO), Cost effectiveness, Error compensation, Machinery, Units of measurement",

author = "Abdulshahed, {Ali M.} and Longstaff, {Andrew P.} and Simon Fletcher",

year = "2015",

language = "English",

pages = "363--372",

booktitle = "Laser Metrology and Machine Performance XI - 11th International Conference and Exhibition on Laser Metrology, Machine Tool, CMM and Robotic Performance, LAMDAMAP 2015",

publisher = "euspen",

address = "United Kingdom",

note = "11th International Conference and Exhibition on Laser Metrology, Coordinate Measuring Machine and Machine Tool Performance, LAMDAMAP 2015 ; Conference date: 17-03-2015 Through 18-03-2015",

}

Abdulshahed, AM, Longstaff, AP & Fletcher, S 2015, A particle swarm optimisation-based grey prediction model for thermal error compensation on CNC machine tools. in Laser Metrology and Machine Performance XI - 11th International Conference and Exhibition on Laser Metrology, Machine Tool, CMM and Robotic Performance, LAMDAMAP 2015. euspen, pp. 363-372, 11th International Conference and Exhibition on Laser Metrology, Coordinate Measuring Machine and Machine Tool Performance, Huddersfield, United Kingdom, 17/03/15. <https://www.euspen.eu/knowledge-base/LAMP15137.pdf>

A particle swarm optimisation-based grey prediction model for thermal error compensation on CNC machine tools. / Abdulshahed, Ali M.; Longstaff, Andrew P.; Fletcher, Simon.

Laser Metrology and Machine Performance XI - 11th International Conference and Exhibition on Laser Metrology, Machine Tool, CMM and Robotic Performance, LAMDAMAP 2015. euspen, 2015. p. 363-372.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A particle swarm optimisation-based grey prediction model for thermal error compensation on CNC machine tools

AU - Abdulshahed, Ali M.

AU - Longstaff, Andrew P.

AU - Fletcher, Simon

N1 - Conference code: 11

PY - 2015

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N2 - Thermal errors can have a significant effect on CNC machine tool accuracy. The thermal error compensation system has become a cost-effective method of improving machine tool accuracy in recent years. In the presented paper, the Grey relational analysis (GRA) was employed to obtain the similarity degrees between fixed temperature sensors and the thermal response of the CNC machine tool structure. Subsequently, a new Grey model with convolution integral GMC(1, N) is used to design a thermal prediction model. To improve the accuracy of the proposed model, the generation coefficients of GMC(1, N) are calibrated using an adaptive Particle Swarm Optimisation (PSO) algorithm. The results demonstrate good agreement between the experimental and predicted thermal error. Finally, the capabilities and the limitations of the model for thermal error compensation have been discussed.

AB - Thermal errors can have a significant effect on CNC machine tool accuracy. The thermal error compensation system has become a cost-effective method of improving machine tool accuracy in recent years. In the presented paper, the Grey relational analysis (GRA) was employed to obtain the similarity degrees between fixed temperature sensors and the thermal response of the CNC machine tool structure. Subsequently, a new Grey model with convolution integral GMC(1, N) is used to design a thermal prediction model. To improve the accuracy of the proposed model, the generation coefficients of GMC(1, N) are calibrated using an adaptive Particle Swarm Optimisation (PSO) algorithm. The results demonstrate good agreement between the experimental and predicted thermal error. Finally, the capabilities and the limitations of the model for thermal error compensation have been discussed.

KW - Coordinate measuring machines

KW - Computer control systems

KW - Particle swarm optimization (PSO)

KW - Cost effectiveness

KW - Error compensation

KW - Machinery

KW - Units of measurement

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BT - Laser Metrology and Machine Performance XI - 11th International Conference and Exhibition on Laser Metrology, Machine Tool, CMM and Robotic Performance, LAMDAMAP 2015

PB - euspen

T2 - 11th International Conference and Exhibition on Laser Metrology, Coordinate Measuring Machine and Machine Tool Performance

Y2 - 17 March 2015 through 18 March 2015

ER -

A particle swarm optimisation-based grey prediction model for thermal error compensation on CNC machine tools

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