Thermal Error Modeling of a Machining Center Using Grey System Theory and Adaptive Network-Based Fuzzy Inference System

スポンサーリンク

概要

• 論文の詳細を見る

• Thermal effect on machine tools is a well-recognized problem in an environment of increasing demand for product quality. The performance of a thermal error compensation system typically depends on the accuracy and robustness of the thermal error model. This work presents a novel thermal error model utilizing two mathematic schemes: the grey system theory and the adaptive network-based fuzzy inference system (ANFIS). First, the measured temperature and deformation results are analyzed via the grey system theory to obtain the influence ranking of temperature ascent on thermal drift of spindle. Then, using the highly ranked temperature ascents as inputs for the ANFIS and training these data by the hybrid learning rule, a thermal compensation model is constructed. The grey system theory effectively reduces the number of temperature sensors needed on a machine structure for prediction, and the ANFIS has the advantages of good accuracy and robustness. For testing the performance of proposed ANFIS model, a real-cutting operation test was conducted. Comparison results demonstrate that the modeling schemes of the ANFIS coupled with the grey system theory has good predictive ability.

• 一般社団法人日本機械学会の論文
• 2006-12-15

著者

• Wang Kun-chieh

  Department Of Technological Product Design Ling Tung University

• Tseng Pai-chung

  Department Of Mechanical Engineering National Chung Hsing University

• LIN Kuo-Ming

  Department of Technological Product Design, Ling Tung University

• Lin Kuo-ming

  Department Of Technological Product Design Ling Tung University

関連論文

• The Neural-fuzzy Thermal Error Compensation Controller on CNC Machining Center
• Thermal Error Modeling of a Machining Center Using Grey System Theory and Adaptive Network-Based Fuzzy Inference System
• The Design of Free Surface Interpolator for CNC Machining

スポンサーリンク