Tool Errors Compensation in Precision and Ultra-Precision Milling Based on the Least-Square Method

2011 ◽  
Vol 291-294 ◽  
pp. 428-431
Author(s):  
Kai Guo Fan ◽  
Jian Guo Yang ◽  
Li Yan Yang
Keyword(s):  
Error Compensation ◽  
Least Square Method ◽  
Compensation Method ◽  
Least Square ◽  
Weighting Coefficient ◽  
Machining Accuracy ◽  
Cnc Milling ◽  
Cnc Milling Machine ◽  
Machined Parts ◽  
Ultra Precision

The CNC milling machine is extensively used in manufacturing of the die and the box-type parts. However, the tool errors, which caused by the cutting heat and the cutting force, seriously affect the machining accuracy of the machined parts. Furthermore, the tool errors are too complex to be calculated by the empirical formula. To solve this problem, a tool error compensation method is proposed in this paper. The least-square method is employed to structure the error model. A weighting coefficient is proposed to adapt the various working conditions. The macro program is used to realize the real-time error compensation. Using the tool error compensation method, the maximum tool error is reduced from 0.053 mm to 0.005 mm. The error is compensated by 90.5% compared with no compensation.

An on-machine error compensation method for an ultra-precision turning machine

2017 ◽  
Vol 233 (5) ◽  
pp. 1608-1613
Author(s):  
Xicong Zou ◽  
Xuesen Zhao ◽  
Guo Li ◽  
Zengqiang Li ◽  
Zhenjiang Hu ◽  
...  
Keyword(s):  
Error Compensation ◽  
Rapid Development ◽  
Compensation Method ◽  
Machining Accuracy ◽  
Manufacturing Cost ◽  
Program Code ◽  
Machine Error ◽  
Measurement Results ◽  
Ultra Precision ◽  
Compensation Technique

On-machine error compensation (OMEC) is efficient at improving machining accuracy without increasing extra manufacturing cost, and involves the on-machine measurement (OMM) of machining accuracy and modification of program code based on the measurement results. As an excellent OMM technique, chromatic confocal sensing allows for the rapid development of accurate and reliable error compensation technique. The present study integrated a non-contact chromatic confocal probe into an ultra-precision machine for OMM and OMEC of machined components. First, the configuration and effectiveness of the OMM system were briefly described, and the relevant OMEC method was presented. With the OMM result, error compensation software was then developed to automatically generate a modified program code for error compensation. Finally, a series of cutting experiments were performed to verify the validity of the proposed OMEC method. The experimental results demonstrate that the proposed error compensation method is reliable and considerably improves the form error of machined components.

Accuracy Measurement and Error Compensation of Three-Axis CNC Milling Machine

2014 ◽  
Vol 651-653 ◽  
pp. 616-619 ◽  
Author(s):  
Jin Ying Chen
Keyword(s):  
Error Compensation ◽  
Laser Interferometer ◽  
Cnc Machine Tools ◽  
Machining Accuracy ◽  
Milling Machine ◽  
Cnc Milling ◽  
Cnc Machine ◽  
Factors Affecting ◽  
Accuracy Measurement ◽  
Cnc Milling Machine

Through the methods using combination ball-bar with laser interferometer, we carry on accuracy measurement and error compensation of three-axis CNC milling machine. We finally find out the main factors affecting the machining accuracy of machine tool. In the meantime we can improve repeatability of positioning accuracy and the machine's positioning and meet the processing needs by means of the existing error compensation of the CNC machine tools.

Motor Current-Based Cutting Force Induced Error Detection and Modeling for CNC Milling Machine

2014 ◽  
Vol 889-890 ◽  
pp. 297-302
Author(s):  
Mu Wen Shen ◽  
Kai Guo Fan ◽  
Jian Guo Yang
Keyword(s):  
Cutting Force ◽  
Error Detection ◽  
Error Model ◽  
Least Square ◽  
Cnc Machining ◽  
Machining Accuracy ◽  
Milling Machine ◽  
Cnc Milling ◽  
Motor Current ◽  
Cnc Milling Machine

The CNC milling machine is extensively used in manufacturing of the die and the box-type parts. As the increasing requirement of the mechanical products qualities, the components also need higher and higher precision. However, the cutting force induced error affects the machining accuracy of the machined parts seriously. Furthermore, accurate measurement of the cutting force in CNC machining is very difficult. To solve this problem, a motor current-based cutting force induced error detection and modeling method is proposed in this paper. The motor current is obtained from the window function of the Fanuc CNC system. The cutting force induced error model is established according to the least-square method. The motor current-based error model can implement the cutting force induced error fitting effectively, and the fitting accuracy ofX,Y, andZ-axis are 97%, 96%, and 84%, respectively.

scholarly journals System-Level Temperature Compensation Method for the RLG-IMU Based on HHO-RVR

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Hao Liang ◽  
Yumin Tao ◽  
Meijiao Wang ◽  
Yu Guo ◽  
Xingfa Zhao
Keyword(s):  
Least Square Method ◽  
Absolute Error ◽  
Performance Comparison ◽  
Compensation Method ◽  
Least Square ◽  
System Level ◽  
Measurement Unit ◽  
Error Terms ◽  
The Stability ◽  
Stability Time

The ring laser gyro inertial measurement unit has many systematic error terms and influences each other. These error terms show a complex nonlinear drift that cannot be ignored when the temperature changes, which seriously affects the stability time and output accuracy of the system. In this paper, a system-level temperature modeling and compensation method is proposed based on the relevance vector regression method. First, all temperature-related parameters are modeled; meanwhile, the Harris hawks optimization algorithm is used to optimize each model parameter. Then, the system compensation is modeled to stabilize the system output to the desired temperature. Compared with the least square method, the fitting performance comparison and the system dynamic compensation experiment prove this method’s superiority. The root mean square error, the mean absolute error, the R -squared, and the variance of residual increased by an average of 35.27%, 39.29%, 2.29%, and 30.34%, respectively.

Modeling and Modal Analysis of Tool Holder-Spindle Assembly on CNC Milling Machine Using FEA

2012 ◽  
Vol 157-158 ◽  
pp. 220-226 ◽  
Author(s):  
Jun Wang ◽  
Bo Wu ◽  
You Min Hu ◽  
Er Hua Wang ◽  
Yao Cheng
Keyword(s):  
Modal Analysis ◽  
Spindle Assembly ◽  
Machining Accuracy ◽  
Cnc Milling ◽  
Element Analysis ◽  
Modeling And Analysis ◽  
Tool Holder ◽  
Cnc Milling Machine ◽  
Rigid Connection ◽  
Translational Spring

In machine dynamics the modal analysis of tool holder-spindle assembly is carried out to verify the reasonability of spindle speed, recognize the impaction of vibration modes on machining accuracy and optimize the design of spindle. This paper presents modeling and modal analysis of tool holder-spindle assembly utilizing FEA. Bearing supports is simulated by four uniformly distributed translational spring-damper elements and the radial stiffness of bearings is calculated based on Hertz contact theory. The connection at the tool holder-spindle interface is assumed to be the rigid-connection. This study also proposes two numerical methods in the finite element analysis software ANSYS to simulate the rigid-connection. Consequently, the present modeling and analysis approach by use of FEA is feasible for analyzing tool holder-spindle assembly dynamics.

Turning Test and Simulation of Difficult to Cut Materials 300M in Aviation

2014 ◽  
Vol 800-801 ◽  
pp. 208-213
Author(s):  
Hui Ping Zhang ◽  
Yi Nan Lai ◽  
Chong Xun Wang ◽  
Xu Du
Keyword(s):  
Cutting Temperature ◽  
High Strength ◽  
Least Square Method ◽  
Least Square ◽  
Machining Accuracy ◽  
Linear Regression Models ◽  
Element Analysis ◽  
Cutting Velocity ◽  
Structural Parts ◽  
Materials Used

Turning process properties of difficult-to-cut materials used in aeronautics are often associated with the machining accuracy and surface quality of aerospace structural parts. This study presents the influence of cutting velocity, feed rate and back cutting depth on cutting force and cutting temperature during dry turning of ultra-high strength 300M steel, where the linear regression models of cutting forces and cutting temperature are constructed by using least square method, and the regression coefficients of these models are verified by significance tests. Meanwhile, the temperature distribution and chip in turning machining are also achieved by finite element analysis.

Research on the Least Squares Method in Error Compensation on RSSI Ranging

2011 ◽  
Vol 340 ◽  
pp. 121-125
Author(s):  
Wei Xin Ling ◽  
Jing Min Gao ◽  
Chun Yun Li
Keyword(s):  
Wireless Communications ◽  
Error Compensation ◽  
Least Squares Method ◽  
Data Use ◽  
Least Square Method ◽  
Least Square ◽  
Gaussian Filter ◽  
Communications Networks ◽  
Improving Accuracy ◽  
After Error

This paper describes error compensation using least square method in wireless communications networks. The received data use the Gaussian filter to avoid interference，then use least square to compensate the error. ZigBee sensor network is constructed to verify the proposed algorithm. The experiment has been taken to test the accuracy after error compensation. The result shows the method is available for improving accuracy.

scholarly journals Research on error compensation in the process of geomagnetic sensor measurement

2021 ◽  
Vol 17 (5) ◽  
pp. 155014772110199
Author(s):  
Zhang Pingan ◽  
Wang Wei ◽  
Gao Ming ◽  
Wang Yi
Keyword(s):  
Error Compensation ◽  
Least Square Method ◽  
Angle Measurement ◽  
Least Square ◽  
Roll Angle ◽  
Error Sources ◽  
Compensation Model ◽  
Highly Sensitive ◽  
Sensitive Sensor ◽  
Fitting Model

The geomagnetic sensor is a kind of highly sensitive sensor, which is easy to be interfered with by the outside in the process of measurement. To solve this problem, the author uses the least square method to estimate the gain value and sensitivity product value of the amplification circuit of the geomagnetic sensor and explores the solution of the bias voltage of the geomagnetic sensor by using the ellipsoid fitting model. By analyzing the error sources of the geomagnetic sensors in the measurement process, the error compensation model covering various error factors is constructed. All parameters of the error compensation model are obtained by fitting the experimental data of the turntable. After several experiments with different attitude angles, the validity of the compensation model is verified, and the measurement accuracy of the roll angle is improved, which meets the requirements of roll angle measurement.

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