The thermal error modeling technology of computer numerical control (CNC) machine tools is the core compensation, and machining accuracy CNC can be improved effectively by high-precision prediction model errors. This paper analyzes several methods related to in latest research applications, summarizes their deficiencies, proposes a method tool based on particle swarm optimization (PSO) algorithm radial basis function (RBF) neural network, named as IPSO-RBFNN. By introducing compression...

Since the thermal error modeling of CNC machine tools has characters small sample and discrete data, variable-weight combined method was presented by integrating time series analysis least squares support vector machines. Taking minimum sum square prediction model as optimization criterion, optimal weights in different were calculated. Using grey GM (1, 1) to predict variable weights, result obtained well. Application on a five axis vertical machining center indicated that it can get higher...

In order to evaluate the accuracy of a numerical control machine tool comprehensively, evaluation index system was established, and priorities indexes were determined by analytic hierarchy process method. Taking five-axis for example, each it studied using fuzzy comprehensive evaluation, membership function constructed intermediate form trapezoidal distribution. The evaluated result indicated that this excellent. As reference, method presented in paper could be used other tools.

In order to reduce the in∞uence of comprehensive error on CNC machine’s precision, modeling method was presented in this work based linear interpolation and Newton interpolation. By using external machine zero point ofiset function, real-time compensation realized online. The experimental results a vertical milling show that model is convenient calculation performs excellent accuracy prediction. Therefore it suitable for tools.

Due to the thermal error modeling of CNC machine tools has characters small sample and discrete data, variable-weight combined method was presented by integrating time series analysis least squares support vector machines. Taking minimum sum of error square prediction model as optimization criterion, optimal weights in different were calculated. Using grey GM (1, 1) predict variable weights, result obtained well. Application grey variable-weight on a five axis vertical machining center...

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To solve the problem of product data exchange and sharing among heterogeneous systems, key technologies were discussed, which included manufacturing process information modeling, file conversion from STEP AP203/AP214 to AP224 with ware neutral files. CAD systems must output standard. CAPP obtained geometry parts files, corresponding design was put up. Then By translating files into XML criterions constituted by AP28, schema library is setup. Thus, can be realized.