scholarly journals CLIM: A Cross-Level Workload-Aware Timing Error Prediction Model for Functional Units

2018 ◽  
Vol 67 (6) ◽  
pp. 771-783 ◽  
Author(s):  
Xun Jiao ◽  
Abbas Rahimi ◽  
Yu Jiang ◽  
Jianguo Wang ◽  
Hamed Fatemi ◽  
...  
Keyword(s):  
Prediction Model ◽  
Error Prediction ◽  
Timing Error ◽  
Functional Units

Thermal Error Prediction of the Spindle Using Adaptive Neuro-Fuzzy Inference System

2015 ◽  
Vol 789-790 ◽  
pp. 263-267
Author(s):  
Yan Lei Li ◽  
Ming Yan Wang ◽  
You Min Hu ◽  
Bo Wu
Keyword(s):  
Prediction Model ◽  
Predictive Model ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Thermal Error ◽  
Temperature Data ◽  
Current Sensor ◽  
Error Prediction ◽  
Inference System ◽  
Neuro Fuzzy

This paper proposes a new method to predict the spindle deformation based on temperature data. The method introduces ANFIS (adaptive neuro-fuzzy inference system). For building the predictive model, we first extract temperature data from sensors in the spindle, and then they are used as the inputs to train ANFIS. To evaluate the performance of the prediction, an experiment is implemented. Three Pt-100 thermal resistances is used to monitor the spindle temperature, and an inductive current sensor is used to obtain the spindle deformation. The experimental results display that our prediction model can better predict the spindle deformation and improve the performance of the spindle.

The Thermal Error Prediction of NC Machine Tool Based on LS-SVM and Grey Theory

2009 ◽  
Vol 16-19 ◽  
pp. 410-414 ◽  
Author(s):  
Chang Long Zhao ◽  
Yi Qiang Wang ◽  
Xue Song Guan
Keyword(s):  
Support Vector Machine ◽  
Correlation Analysis ◽  
Prediction Model ◽  
Machine Tool ◽  
Least Squares ◽  
Thermal Error ◽  
Support Vector ◽  
Error Prediction ◽  
Nc Machine Tool ◽  
Nc Machine

In this paper, a hybrid method of correlation analysis based on the gray theory and the least squares support vector machine is proposed to model the thermal error of spindle of NC machine tool and predict the thermal error. The gray correlation analysis is used to optimize the measuring points of spindle. The optimum measuring points and the measured thermal error of spindle are regarded as the data to be trained to build the thermal error prediction model based on the least squares support vector machine (LS-SVM). The results show that the thermal error prediction model based on LS-SVM of NC machine tool has advantages of high precision and good generalization performance. The prediction model can be used in real-time compensation of NC machine tool and can prove the process precision and reduce cost.

A dynamic pre-travel error prediction model for the kinematic touch trigger probe

Measurement ◽  
2019 ◽  
Vol 146 ◽  
pp. 689-704 ◽  
Author(s):  
Yamin Li ◽  
Long Zeng ◽  
Kai Tang ◽  
Simi Li
Keyword(s):  
Prediction Model ◽  
Error Prediction ◽  
Touch Trigger Probe

An Accuracy-Prediction Model Taking Tool Deformation and Geometric Machine-Tool Error into Consideration

2010 ◽  
Vol 4 (3) ◽  
pp. 235-242 ◽  
Author(s):  
Hirohisa Narita ◽  
◽  
Keiichi Shirase ◽  
Eiji Arai ◽  
Hideo Fujimoto ◽  
...  
Keyword(s):  
Prediction Model ◽  
Machine Tool ◽  
End Milling ◽  
Geometric Error ◽  
Cutting Conditions ◽  
Error Prediction ◽  
Machining Accuracy ◽  
Trial And Error ◽  
Virtual Machining ◽  
Nc Program

Test cutting used to verify cutting conditions and machining accuracy after a numeric control (NC) program is written for end milling the mold and die indispensable to manufacturing is generally effective, because it is based on trial and error. The virtual machining simulator we designed to verify machining accuracy uses an accuracy-prediction model and an error prediction expression for workpieces, integrating machine-tool deformation and geometric error models. We also propose calculation for copying errors to a workpiece.

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