Compensation model for thermal error of machining center based on gray-fuzzy clustering and LS-SVM
Abstract：In order to realize the compensation for the thermal error of numerical control（NC） machine tool,a gray-fuzzy clustering algorithm based on synthetic grey correlation and an optimum modeling method for the thermal error element of NC machine tool with least squares support vector machine（LS-SVM） were proposed.Through calculating the synthetic grey correlation between the temperature measuring points and thermal error data,a gray similar matrix was determined in the proposed method.With the maximum tree method,a hierarchical diagram based on clustering results with different levels was obtained,and thus,the key temperature measuring points were determined.Then the compensation model for the thermal error of NC machine tool was established with a LS-SVM method.The MDV-55 vertical precision machining center was taken as the experimental object to perform the modeling and compensation.The result shows that the proposed method can not only reduce the number of temperature sensors,but also improve the machining accuracy of the NC machine tool obviously.
Keywords：gray-fuzzy clusteringleast squares support vector machine（LS-SVM）numerical control（NC） machine toolmachining centerthermal erroroptimization of temperature measuring pointmodelingerror compensation
Publication Date：2011-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)