In-process measuring method for the size and roundness of workpiece with discontinuous surface in cylindrical grinding process

Zheng, Peng; Li, Dongliang; Wang, Min; Cao, Manyi; Zhang, Linna

doi:10.1016/j.measurement.2020.108240

Cited by 10 publications

(3 citation statements)

References 30 publications

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“…Suykens et al give other applications and explanations of TWSVMs in the papers [20][21][22][23][24], further explaining the accuracy and efficiency of TWSVMs. Zheng et al [25][26][27][28] begin to introduce the SVM method in the process of form and position error evaluation, which also proves that the idea of using SVMs to handle roundness error evaluation is feasible. This paper proposes a new roundness error evaluation method based on TWSVMs, which can evaluate roundness errors efficiently and accurately, and can be applied to online evaluation of roundness errors in industrial processing to improve processing efficiency.…”

Section: Introductionmentioning

confidence: 88%

A new method of roundness error evaluation based on twin support vector machines

Zheng

Cao

et al. 2021

Meas. Sci. Technol.

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The geometric error determines the product quality and function to a certain extent. Among them, the roundness error is one of the important indicators for evaluating the geometric error of shaft parts. With the increase of industrial requirements, there are higher requirements for the accuracy and efficiency of roundness error evaluation. However, most of the traditional roundness error evaluation models used in the industry can no longer meet the needs of current industrial processing in terms of efficiency and accuracy. This paper proposes a new roundness error evaluation method based on twin support vector machines (TWSVMs). First, according to the roundness error evaluation and the TWSVMs theory, the roundness error evaluation model with the TWSVMs is obtained. Then, experimental research and analysis are carried out, and the accuracy and efficiency of the traditional roundness evaluation method and the new method are compared. The research results show that the new roundness evaluation method based on the TWSVMs proposed in this paper can efficiently and accurately evaluate the roundness error, and can be applied to the online evaluation of the roundness error in industrial processing to improve the processing efficiency.

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Section: Introductionmentioning

confidence: 88%

A new method of roundness error evaluation based on twin support vector machines

Zheng

Cao

et al. 2021

Meas. Sci. Technol.

Self Cite

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“…Therefore, with MM, users are forced to acquire skills regarding the manipulation of metrology instruments, in order to control the different sections to be measured and to obtain the coordinates of the part profile, later used for the analytical calculation. Furthermore, these methods have industrial applications, especially in job-shop layouts, where it is not possible to have costly metrology equipment that is high in quality [25,26].…”

Section: Experimental Procedures 221 Manual Measurement Methodology I...mentioning

confidence: 99%

Validation of a Manual Methodology for Measuring Roundness and Cylindricity Tolerances

García-Martínez,

García-González,

Manjabacas

et al. 2023

Applied Sciences

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This paper describes a practice-based methodology applied to roundness and cylindricity concepts. Traditionally, technicians encounter difficulties in understanding this topic, especially when they analyze the tolerances involved due to the complexity of their graphic interpretation. Additionally, it is mandatory for industrial engineers to acquire competencies that allow them to validate form and make decisions in this field. With the goal of enhancing the handling of measurement techniques involved in this topic and analyzing the results obtained, a methodology has been designed to address the roundness and cylindricity tolerance evaluation from different perspectives. Firstly, based on a conceptual analysis, an analytical procedure is introduced. Secondly, an engaging manual practice is implemented by using simple measuring instruments that allow the user to be involved in the development of the procedure applied. The conditions that tried to optimize the manual procedure to get good results were analyzed. Moreover, the results obtained under this perspective allow us to ensure that better skills can be acquired regarding the typical method based on the coordinate measuring machines. This experience has been validated based on the practice with ongoing users under a training period.

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“…Through time series prediction, the prediction value can judge the error in advance and be transmitted to the machine tool in time through the measuring system, thus ensuring the effective processing. In papers [12]- [15], Zheng P et al use support vector machine to predict and analyze the shape and position error and other information in the machining process, demonstrating the feasibility of the application of prediction method in the machining process. In papers [16]- [22], the authors use neural network or other methods to predict and optimize the information of various parameters in the processing process.…”

Section: Introductionmentioning

confidence: 99%

Research on Fusion Predictive Control Method of Size and Roundness in Online Grinding

Liu

Zheng

Cao

et al. 2021

Preprint

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In order to solve the problem that the error evaluation delay and the size and roundness of workpiece can not meet the processing requirements at the same time in online measurement. First this paper proposes an online fusion control method for the size and roundness error of workpiece, which can not only improve the processing efficiency, but also improve the consistency of workpiece quality. Then, the Long Short-Term Memory(LSTM) is used to predict the workpiece information of online measurement, and the error is calibrated according to the predicted value. The LSTM is used to predict the workpiece information in real time, and the process parameters are adjusted in time when the prediction value is out of the theoretical boundary to avoid error accumulation. Finallyr the online grinding measurement experiment based on the LSTM is designed and carried out, and the relationship between the dimension of input tensor and the prediction accuracy is analyzed through the experimental results. The results show that the LSTM can accurately predict the grinding size sequence and roundness sequence, and has good universality. The small batch machining is carried out according to the experimental results. Statistical analysis shows that the grinding accuracy is significantly improved by using the fusion prediction and calibration method.

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In-process measuring method for the size and roundness of workpiece with discontinuous surface in cylindrical grinding process

Cited by 10 publications

References 30 publications

A new method of roundness error evaluation based on twin support vector machines

A new method of roundness error evaluation based on twin support vector machines

Validation of a Manual Methodology for Measuring Roundness and Cylindricity Tolerances

Research on Fusion Predictive Control Method of Size and Roundness in Online Grinding

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