A Geometric Accuracy Error Analysis Method for Turn-Milling Combined NC Machine Tool

Li, Pengzhong; Zhao, Ruihan; Luo, Liang

doi:10.3390/sym12101622

Cited by 9 publications

(3 citation statements)

References 22 publications

(25 reference statements)

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“…Liu et al developed a tracking error model of a solar dish concentrator system based on the rigid body motion theory, and analyzed the effect of the azimuth tilt error on the tracking performance [ 1 ]. Li established the position error model and motion error model of the turn-milling combined NC machine tool, and identified the important sensitive error terms by evaluating the influence weights of each error term [ 2 ]. Wang constructed the TCP error model of the 3-DOF parallel spindle head using the geometric errors, and got six critical geometric errors [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Active Compensation Technology for the Target Measurement Error of Two-Axis Electro-Optical Measurement Equipment

Lan,

Hua,

Fang

et al. 2024

Sensors

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For two-axis electro-optical measurement equipment, there are many error sources in parts manufacturing, assembly, sensors, calibration, and so on, which cause some random errors in the final measurement results of the target. In order to eliminate the random measurement error as much as possible and improve the measurement accuracy, an active compensation technique for target measurement error is proposed in this paper. Firstly, the error formation mechanism and error transfer model establishment of the two-axis electro-optical measurement equipment were studied, and based on that, three error compensation and correction methods were proposed: the least square (LS)-based error compensation method, adaptive Kalman filter(AKF)-based error correction method, and radial basis function neural network (RBFNN)-based error compensation method. According to the theoretical analysis and numerical simulation comparison, the proposed RBFNN-based error compensation method was identified as the optimal error compensation method, which can approximate the random error space surface more precisely, so that a more accurate error compensation value can be obtained, and in order to improve the measurement accuracy with higher precision. Finally, the experimental results proved that the proposed active compensation technology was valid in engineering applicability and could efficiently enhance the measurement accuracy of the two-axis electro-optical measurement equipment.

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Section: Introductionmentioning

confidence: 99%

Active Compensation Technology for the Target Measurement Error of Two-Axis Electro-Optical Measurement Equipment

Lan,

Hua,

Fang

et al. 2024

Sensors

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“…presents the model [11] which is modeled by the propagation and the accumulation of errors based on Jacobian-Torsor theory. Li et al analyzed the sensistivity of geometric error sources to spatial errors in detail and the global maximum interval sensitivity of nine geometric error sources was extracted which provides a theoretical basis of further error compensation and precision distribution [12]. Intelligent AI techniques has also been introduced for the improvement of geometrical errors in grinding process [13,14,15].…”

Section: Introductionmentioning

confidence: 99%

Diagnosis of two-axis cylindrical grinder machining error

Roy

Chieng²,

Wu³

et al. 2022

Int J Adv Manuf Technol

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This paper attempts to develop a diagnosis method for classifying the machining error sources on the external/internal contour surfaces which are fabricated using a two-axis cylindrical grinding machine. A derivation of the contour profile to grinding wheel motion trajectory and also the grinding wheel motion trajectory to the contour profile equations has been performed. Due to the contours having a sinusoidal polynomial curve instead of a rose curve, the grinding wheel motion trajectory equation is then used to generate the NC code for the machining. The grinding wheel motion trajectory equation is needed for the synthesis of the profile error caused by the motion error as well as the variation of the grinding wheel diameter. The two-axis motion equation is obtained by transforming the non-circular contour equation through the coordinates of the grinding wheel and workpiece. The influence of different machining parameters such as grinding wheel outer diameter error, grinding wheel feed rate, workpiece rotation speed on the external/internal contour profile is being studied and analyzed. The diagnosis method is based on the least square method to assemble the components of the profile error due to each individual error sources. The actual machining with probe system is used to verify the diagnosis result.

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“…Therefore, the knowledge of the technical behavior of machined parts during the production process is very important—both for the technologists [ 13 ] and also for the manufacturing systems design purposes [ 14 ]. In the case of machine tools, the basic technical-and-economic criterion is machining accuracy, defined as the degree to which the actual workpiece matches the shape and dimensions of the ideal workpiece [ 15 ]. The differences between the actual and ideal workpiece are defined as errors, and the possibility of obtaining the required dimensional accuracy of a workpiece largely depends on the accuracy of the mutual spatial position of the tool and the workpiece [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

Theoretical and Experimental Identification of Frequency Characteristics and Control Signals of a Dynamic System in the Process of Turning

Świć

Gola

2021

Materials

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The article presents the results of the experimental validation of the developed static, time and frequency characteristics under interference and longitudinal feed control of a dynamic system in the process of turning axisymmetric parts. The experiments were conducted on a test bench, consisting of a 16B16P center lathe, a measuring system and a PC with a measurement card. The experiments were carried out to verify the assumptions of the baseline model of the turning process. As part of the study, we determined the static characteristics of the machining process, the time characteristics of the object under interference and under longitudinal feed rate control, and the frequency characteristics of the machine tool system under longitudinal feed rate control. During the experiments, we recorded the observed input and output signal curves and the observed characteristics of the interferences acting on the object, as well as the numerical values of the parameters of the equations describing the model, and in particular the gain of the elastic system, which is difficult to determine by analytical methods. The positive results of the experiments confirm the effectiveness of the proposed models and their usefulness for automation of machining processes.

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A Geometric Accuracy Error Analysis Method for Turn-Milling Combined NC Machine Tool

Cited by 9 publications

References 22 publications

Active Compensation Technology for the Target Measurement Error of Two-Axis Electro-Optical Measurement Equipment

Active Compensation Technology for the Target Measurement Error of Two-Axis Electro-Optical Measurement Equipment

Diagnosis of two-axis cylindrical grinder machining error

Theoretical and Experimental Identification of Frequency Characteristics and Control Signals of a Dynamic System in the Process of Turning

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