A modeling method for predicting the precision loss of the preload double-nut ball screw induced by raceway wear based on fractal theory

Zhao, Jiajia; Lin, Mingxing; Song, Xianchun; Wei, Nan

doi:10.1016/j.wear.2021.204065

Cited by 17 publications

(10 citation statements)

References 25 publications

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“…The numerical analysis results are consistent with the research conclusions of Cheng. 27,47 In addition, Figures 6 and 7(b) show that the magnitude of the friction stress between the ball and the screw raceway is also greater than that between the ball and the nut. It appears that the wear amount between the ball and the screw raceway is relatively larger.…”

Section: Numerical Analysis Of Accuracy Decay Under Non-constant Cond...mentioning

confidence: 96%

“…16 Wang et al 26 studied the raceway profile for the BS and demonstrated that measuring basis was one of the key influence factors of the raceway error on positioning precision. Zhao and Lin 27 studied the accuracy degradation behavior and accuracy prediction of the double-nut BS, due to raceway wear, based on fractal theory. 25 In contrast, Cheng 28 and Hu 29 studied the BS precision loss characteristics, caused by sliding motion under time-varying axial loads and feed rates.…”

Section: Introductionmentioning

confidence: 99%

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Numerical analysis and experimental research on the accuracy decay of a ball screw with geometric errors under non-constant operating conditions

Cheng

Liu

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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The ball screw (BS) has become an indispensable key functional component in many fields, such as precision manufacturing equipment and intelligent manufacturing production lines. Inevitable geometric errors and non-constant operating conditions affect the accuracy decay of the BS component. In this paper, a numerical analysis method of this accuracy decay with geometric parameters errors, under non-constant operating conditions, is established. The accuracy degradation of the BS, under a single non-constant operation condition or multiple non-constant operating conditions, is analyzed, using a proposed numerical analysis method. The average value of the relative error between numerical analysis and theoretical model results was 5.52%, 5.66%, and 5.40%, under the three operating conditions of non-constant rotation rate (RR), non-constant contact load (CL), and non-constant rotation rate and contact load (RR + CL), respectively. And the maximum relative error value was 11.11%, 11.11%, and 10.98%. In addition, the numerical analysis method of BS accuracy degradation was compared to experimental tests. The average value of the relative error between numerical analysis outcome and experimental tests was 7.07%, 6.08%, 6.56%, and the maximum relative error value was 11.11%, 14.29%, and 13.04% under the three operating conditions of RR, CL, and RR + CL, respectively.

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Section: Numerical Analysis Of Accuracy Decay Under Non-constant Cond...mentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Numerical analysis and experimental research on the accuracy decay of a ball screw with geometric errors under non-constant operating conditions

Cheng

Liu

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part C:

Self Cite

View full text Add to dashboard Cite

show abstract

“…The theory was proposed by Professor Mandelbrot (Mandelbrot, 1967), and is often used to process vibration signals (Huang et al, 2022) and texture features (Yao et al, 2021). Its application fields include fault diagnosis (Liang et al, 2022), tool wear detection (Zhao et al, 2021), face recognition (Tang et al, 2018), medical diagnosis (Ibrahim et al, 2022), etc. However, there are few reports on the application of this theory in fruit quality detection.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of maturity and moisture content in fresh jujube using fractal theory and tissue images

ZHANG

Luo

et al. 2023

Food Sci. Technol

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This study proposes a novel method for jujube maturity and water content determination incorporating fractal theory. Firstly, the tissue section images of winter jujube at different maturity and tissue section image images of winter jujube with different moisture content were preprocessed by grayscale, median filter, histogram equalization and binarization. Secondly, the fractal dimension of jujube tissue section images of jujube at different maturity, and the fractal dimension of tissue slice images of jujube with different moisture content were calculated based on the box dimension algorithm. Finally, the relationships of the fractal dimension-maturity and fractal dimension-moisture content were explored. The results showed that the fractal features had good discrimination performance, the fractal dimension decreased with the increase of maturity, and the fractal dimension decreased with the increase of moisture content. This study provides a new way of thinking about the detection of physical and chemical indicators of winter jujube and other fruits.

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“…Wang [17] et al studied the raceway profile for the BS, indicating that measuring basis is an influence factor of the raceway error on positioning precision. Zhao and Lin [18] et al studied the accuracy degradation behavior of double-nut ball screws due to raceway wear based on fractal theory [16].…”

Section: Introductionmentioning

confidence: 99%

Accuracy decay mechanism of ball screw in CNC machine tools for mixed sliding-rolling motion under non-constant operating conditions

Zhao

Chen

et al. 2022

Int J Adv Manuf Technol

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The ball screw (BS) has become an indispensable key functional component in many fields, such as CNC machine tools, precision transmission system and special service requirements. Its accuracy reliability is a key performance in many application fields. There is a phenomenon of mixed slip-roll motion during the BS operation, however, both non-constant working conditions and mixed sliding-rolling motion mode affect the its accuracy decay. In this paper, the modeling method of accuracy decay for mixed sliding-rolling motion behavior is established under non-constant operating conditions. The accuracy reliability of the BS is analyzed under single non-constant operation condition or multiple non-constant operating conditions, and the accuracy decay is predicted though modeling method proposed. In addition, the experimental analysis of the BS accuracy degradation is carried out under three different amplitudes of AL (non-constant axial load), FR (non-constant feed rate) and AL+FR combination conditions. The average value of the accuracy loss relative error between theoretical model and experimental test results is smaller than that under pure sliding motion. It shows that the accuracy decay analysis model established is beneficial to predict the BS accuracy reliability.

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A modeling method for predicting the precision loss of the preload double-nut ball screw induced by raceway wear based on fractal theory

Cited by 17 publications

References 25 publications

Numerical analysis and experimental research on the accuracy decay of a ball screw with geometric errors under non-constant operating conditions

Numerical analysis and experimental research on the accuracy decay of a ball screw with geometric errors under non-constant operating conditions

Evaluation of maturity and moisture content in fresh jujube using fractal theory and tissue images

Accuracy decay mechanism of ball screw in CNC machine tools for mixed sliding-rolling motion under non-constant operating conditions

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