Application of Clustering Regression to Thermal Error Modeling of NC Machine Tool

Xiao Ni Qi; Qian Jian Guo

doi:10.4028/www.scientific.net/KEM.431-432.110

Paper Titles

Tool Wear in Diamond Cutting Sinusoidal Microstructured Surfaces
p.94

Contact Stress Analysis of NCD Coating on Cemented Carbide
p.98

Study on Machining System of Precision Micro Abrasive Water Jet and Polish Experiment
p.102

A New Fuzzy Backorder Inventory Model for the Decision Making of Material Inventory in the Manufacture System
p.106

Application of Clustering Regression to Thermal Error Modeling of NC Machine Tool
p.110

Experiments on High-Speed and Dry Cutting with PCBN Tool
p.114

Simulation and Control Models of Laser Bending Angle of Sheet Metals
p.118

Evaluation of Heuristics for a Resource-Constrained Project Scheduling Problem
p.122

Research on the Influence of Cutting Fluids on the Critical Depth of Cut in Diamond Cutting of Optical Glass BK7
p.126

HomeKey Engineering MaterialsKey Engineering Materials Vols. 431-432Application of Clustering Regression to Thermal...

Application of Clustering Regression to Thermal Error Modeling of NC Machine Tool

Abstract:

The thermal distortion of YK3610 hobbing machine is analyzed. The concept of clustering analysis is proposed and implemented on the gear hobbing machine. The model was used in the experimental of thermal error compensation. The results show that the thermal error compensation control system can reduce thermal errors significantly and the prediction accuracy of the thermal error model is high enough.