عنوان المقالة:The Application of ANN and ANFIS Prediction Models for Thermal Error Compensation on CNC Machine Tools The Application of ANN and ANFIS Prediction Models for Thermal Error Compensation on CNC Machine Tools
Ali M Abdulshahed, Andrew P Longstaff, Simon Fletcher
English Authors
Ali M Abdulshahed, Andrew P Longstaff, Simon Fletcher
Abstract
Thermal errors can have significant effects on CNC machine tool accuracy. The errors come from thermal deformations of the machine elements caused by heat sources within the machine structure or from ambient temperature change. The effect of temperature can be reduced by error avoidance or numerical compensation. The performance of a thermal error compensation system essentially depends upon the accuracy and robustness of the thermal error model and its input measurements. This paper first reviews different methods of designing thermal error models, before concentrating on employing an adaptive neuro fuzzy inference system (ANFIS) to design two thermal prediction models: ANFIS by dividing the data space into rectangular sub-spaces (ANFIS-Grid model) and ANFIS by using the fuzzy c-means clustering method (ANFIS-FCM model). Grey system theory is used to obtain the influence ranking of
Publication Date
2/1/2015
Publisher
Elsevier
Volume No
Issue No
DOI
https://doi.org/10.1016/j.asoc.2014.11.012
Keywords
CNC machine toolThermal error modellingANFISGrey system theory
علي محمد عبد الشاهد | Ali M Abdulshahed | 12328