Positional, geometrical, and thermal errors compensation by tool path modification using three methods of regression, neural networks, and fuzzy logic

Eskandari, Sina; Arezoo, Behrooz; Abdullah, Amir

doi:10.1007/s00170-012-4285-y

Cited by 32 publications

(14 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Thermally induced error caused by environment or internal heat sources can contribute more than 50% to the overall geometrical error of machined workpieces [4]. Therefore, much research focusing on thermal error reduction and compensation of machine tools has been carried out [5][6][7][8][9]. Due to the large structure and complex distribution of heat sources in machine tools, the accuracy of a heavy-duty machine tool is much sensitive to the variation of temperature field over the machine structure.…”

Section: Introductionmentioning

confidence: 99%

Real-time measurement of temperature field in heavy-duty machine tools using fiber Bragg grating sensors and analysis of thermal shift errors

et al. 2015

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Real-time measurement of temperature field in heavy-duty machine tools using fiber Bragg grating sensors and analysis of thermal shift errors

et al. 2015

View full text Add to dashboard Cite

“…To make the conventional machine tool controller have volumetric error compensation functionalities, the software compensation methods of part-program generation and modification have become an important trend to improve the influence of the volumetric error of machine tools [24][25][26][27]. Eskandari et al [28] utilized a neuro-fuzzy algorithm to model the geometric errors of a machine tool using a laser interferometer, and then, developed a compensation method to modify the Numerical Control (NC) part program with G-codes, which consider the developed error model and the volumetric errors calculated through kinematic analysis of the machine tool.…”

Section: Introductionmentioning

confidence: 99%

Using the Segmented Iterative Learning Control Method to Generate Volumetric Error-Compensated Part Programs for Three-Axis CNC Milling Machine Tools

Yeh

2018

JMMP

View full text Add to dashboard Cite

This study proposes using the iterative learning control method to adjust the volumetric error-compensated tool path, where the working volume motion accuracy of three-axis computerized numerical control (CNC) milling machine tools is increased by segmented modification of the part program. As the three-axis CNC milling machine tools generally have volumetric error of working volume, this study refers to the measured and established table of volumetric errors and uses the method of the modifying part program for volumetric error compensation of machine tools. This study proposes using part-program single-block positioning segmented for volumetric error compensation, as the generated compensated part program with multiple compensated blocks can effectively compensate the volumetric error of working volume in the tool moving process. In terms of the compensated tool path computing method, this study uses the iterative learning control (ILC) method and refers to compensated tool path and volumetric errors along the compensated tool path for iterative computation. Finally, a part program with multiple blocks is modified by the converged optimal compensated tool path, in order that the modified part program has higher-precision volumetric error compensation effect. The simulation result shows that the rate of improvement of error of the volumetric error compensation method proposed in this study is 70%.The result of cutting tests shows that the average rate of improvement of the straightness error of the test workpiece is 60%, while the average rate of improvement of height error is 80%. Therefore, the results of simulation and cutting tests can prove the feasibility of using the ILC method for segmented modification of the volumetric error-compensated part programs proposed in this study.

show abstract

“…In this study, these compensations are classified as being either hardware compensation or software compensation. Here, "hardware compensation" denotes a compensation algorithm that is directly implemented in a CNC machine controller, allowing the controller to compensate for volumetric errors either in real time or online [4], [5], [8], [14][15][16]; "software compensation" denotes a compensation algorithm that modifies the motion commands of a CNC machine offline by referring to a previously measured distribution of volumetric errors [6], [9], [11], [13], [17], [20][21][22]. The hardware compensation approaches generally produce superior results due to their realtime or online processing capabilities; however, the hardware architecture adopted by the CNC machine controllers limits the performance of the applied hardware compensation approaches and therefore few advanced CNC machine controllers take this approach.…”

Section: Introductionmentioning

confidence: 99%

Application of an Iterative Learning Control Algorithm to Volumetric Error Compensation for CNC Machines

Lu¹,

Yeh²

2014

Computer-Aided Design and Applications

View full text Add to dashboard Cite

To promote higher-quality machining, this paper presents a software-based method for compensating for volumetric errors. The developed software compensation method modifies CNC part programs by applying previously obtained volumetric error tables to modify the axial motion commands. Furthermore, iterative learning control is employed to repetitively and precisely calculate these modified motion commands and further reduce any newly generated volumetric errors that deviate from the machining contours described by the CNC part programs. Several experiments and simulations were performed on a commercial CNC milling machine to validate the approach developed in this study. The results of the experiments indicate that volumetric errors are significantly reduced by applying the developed software compensation method. The rate of reduction was 77.99% for a tested circular contour and 87.59% for a tested spiral contour; therefore, the feasibility of the developed software compensation method was successfully validated for volumetric error compensation for CNC machines.

show abstract

Positional, geometrical, and thermal errors compensation by tool path modification using three methods of regression, neural networks, and fuzzy logic

Cited by 32 publications

References 21 publications

Real-time measurement of temperature field in heavy-duty machine tools using fiber Bragg grating sensors and analysis of thermal shift errors

Real-time measurement of temperature field in heavy-duty machine tools using fiber Bragg grating sensors and analysis of thermal shift errors

Using the Segmented Iterative Learning Control Method to Generate Volumetric Error-Compensated Part Programs for Three-Axis CNC Milling Machine Tools

Application of an Iterative Learning Control Algorithm to Volumetric Error Compensation for CNC Machines

Contact Info

Product

Resources

About