Transfer function and margin of stability in the dynamic system of a grinding machine

Игнатьев, А. А.; Каракозова, В. А.; Игнатьев, С. А.

doi:10.3103/s1068798x15020094

Cited by 6 publications

(2 citation statements)

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“…Firstly, the dynamic quality of the machine was evaluated. Secondly, the values of cutting mode parameters were corrected to obtain a specified machining accuracy [4,7,8]. As integral estimations of spectral densities and integral estimates of autocorrelation functions (ACF) of oscillations were used, as well as the stability margin of the dynamic system (DS) of the machine.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Machine Dynamic Quality on the Basis of the Integrated Assessment of the Spectrum of Vibroacoustic Vibrations

Shamsadova¹,

Mintsaev²,

Ignatiev³

et al. 2018

Proceedings of the International Symposium “Engineering and Earth Sciences: Applied and Fundamental Research” (ISEES 2018)

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Dynamic quality of machines is one of the dominant factors affecting both the geometric parameters of the accuracy of components, and the physicomechanical characteristics of the treated surface layer. Individually, each machine has a certain dynamic quality, which varies both in the process of operation and when the values of cutting mode parameters are changed. What is important in the manufacture of precision machine-and instrument components making is the assessment of the actual dynamic quality of machines according to the characteristics of vibroacoustic vibrations.

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Section: Introductionmentioning

confidence: 99%

Assessment of the Machine Dynamic Quality on the Basis of the Integrated Assessment of the Spectrum of Vibroacoustic Vibrations

Shamsadova¹,

Mintsaev²,

Ignatiev³

et al. 2018

Proceedings of the International Symposium “Engineering and Earth Sciences: Applied and Fundamental Research” (ISEES 2018)

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“…It can directly affect the quality of the products whether the manufacturing process is stable or not. Thus, it is significant to study the stability of the manufacturing process after the adjustment of the machine tool [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Evaluation Method for Stability of Manufacturing Process Based on Fuzzy Norm Method

Xia¹,

Zhu²,

Liu³

2016

Advances in Computer Science Research

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For the manufacturing system adjusted, there still is the uncertainty in the manufacturing process which is part of poor information problem with probability distribution unknown. The statistical evaluation methods depend on information with known probability distribution, which can not used to realize to evaluate the stability of the manufacturing process. Hence it is urgent to solve the problem above. Firstly, the output experimental data in the manufacturing process are selected to establish the membership function according to the fuzzy norm method. Under the given confidence level, the measurement uncertainty of the experimental data can be estimated to characterize the uncertainty of the manufacturing process. Then the relative error of the measurement uncertainty can be obtained, which can evaluate the stability of the manufacturing process. Therefore, based on the fuzzy set theory, an evaluation method for the stability of the manufacturing process using the fuzzy norm method is proposed to make up for the deficiency of the statistical methods.

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Identification of the Model of the Dynamic System of a Milling Machine Based on the Study of Vibroacoustic Characteristics

Khusainov

Safin

2021

MATEC Web Conf.

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In this paper, the authors propose a method for ensuring the reliability of the computational model intended for the study of dynamic processes in technological cutting systems. The advantage of using 3D models in CAD/CAM/CAE systems for solving such problems is shown. The method of conducting an experimental study to identify the calculated model by natural frequencies is justified. The method is proposed for adjusting the 3D model in order to ensure that the dynamic pattern occurring during cutting corresponds to experimental processes. The authors give a concrete example of solving the problem of identifying the computational model of the dynamic system of a milling machine. An example of solving the applied problem of optimizing cutting modes in terms of vibration resistance parameters using the identified computational model is also given.

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Transfer function and margin of stability in the dynamic system of a grinding machine

Cited by 6 publications

References 0 publications

Assessment of the Machine Dynamic Quality on the Basis of the Integrated Assessment of the Spectrum of Vibroacoustic Vibrations

Assessment of the Machine Dynamic Quality on the Basis of the Integrated Assessment of the Spectrum of Vibroacoustic Vibrations

Evaluation Method for Stability of Manufacturing Process Based on Fuzzy Norm Method

Identification of the Model of the Dynamic System of a Milling Machine Based on the Study of Vibroacoustic Characteristics

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