A Review of Thermal Error Modeling Methods for Machine Tools

A Temperature Sensor Clustering Method for Thermal Error Modeling of Heavy Milling Machine Tools

A clustering method is an effective way to select the proper temperature sensor location for thermal error modeling of machine tools. In this paper, a new temperature sensor clustering method is proposed. By analyzing the characteristics of the temperature of the sensors in a heavy floor-type milling machine tool, an indicator involving both the Euclidean distance and the correlation coefficien...

review of radiographic methods in dental implantology

چکیده ندارد.

Robust Machine Tool Thermal Error Modeling Through Thermal Mode Concept

Thermal errors are among the most significant contributors to machine tool errors. Successful reduction in thermal errors has been realized through thermal error compensation techniques in the past few decades. The effectiveness of thermal error models directly determines the compensation results. Most of the current thermal error modeling methods are empirical and highly rely on the collected ...

Variable-weight Combination Prediction of Thermal Error Modeling on CNC Machine Tools

Since the thermal error modeling of CNC machine tools has characters of small sample and discrete data, the variable-weight combined modeling method was presented by integrating time series analysis and least squares support vector machines. Taking minimum sum of error square of prediction model as the optimization criterion, optimal weights in different time were calculated. Using grey GM (1, ...

Study on Temperature Measurement Point Optimization and Thermal Error Modeling of NC Machine Tools