Vibrations of a crank‐shaft in a sewing machine induced by a zigzag mechanism

Zaja̧czkowski, J.

doi:10.1108/09556229910258106

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…The correlation coefficients between each explanatory variable of vibration accelerations and the response variable of noise sound pressure are calculated using equation (1). Similarly, no correlation coefficients value equals 1.…”

Section: The Multiple Correlation Function Value Betweenmentioning

confidence: 99%

“…As everyone knows, the vibrations of sewing machines are excited by the reciprocating motion of working elements, such as the needle mechanism and the rotating shuttle mechanism. 1 Furthermore, the vibrations inevitably result in noise, which will annoy people and their surrounding environment, and the noise level increases significantly with the increase of operational speed and production scale. Unfortunately, the number of industrial sewing machines in garment manufacture is large and the machines often operate simultaneously, so it is easy for the noise level to reach an unbearable degree, which can reduce an operator’s efficiency and even impair his/her health (e.g.…”

Section: Introductionmentioning

confidence: 99%

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Noise source identification for industrial sewing machines based on non-linear partial least squares regression model

Zhang

Liu

Huang

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part C:

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This paper introduces an application of non-linear partial least squares for vibro-acoustic regression modeling and for an industrial sewing machine. In the vibro-acoustic regression model, the vibration accelerations of reference points are defined as explanatory variables, while the noise sound pressure of target points is defined as response variables, and the number of explanatory variables is determined initially by a correlation analysis in the time domain. To improve predictive accuracy while a non-linear relationship exists between the explanatory and response variables, the explanatory variables are preprocessed by kernel function transformation. The comparison of regressive noise sound pressure to experimental data indicates that the non-linear partial least squares regression model has high predictive accuracy. Furthermore, the contributions of vibration accelerations to noise sound pressure are analyzed, by which the structure optimizations are guided and practiced. The comparison of noise test results before and after optimization testifies to the effectiveness of the contribution analysis.

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Section: The Multiple Correlation Function Value Betweenmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Noise source identification for industrial sewing machines based on non-linear partial least squares regression model

Zhang

Liu

Huang

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part C:

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show abstract

“…The mechanism of the bar tacking machine derives from sewing machine. For the assemblage reason, the oscillating shuttle substitutes for the rotary hook in the taking-up mechanism [3] . Complex sewing track can't be realized just using mechanical feeding mechanism.…”

Section: Structure Analysis Of the Bar Tacking Machinementioning

confidence: 99%

Mechatronic Cooperative Design and Simulation of a Multi-Axis Bar Tacking Machine

Xie

Sun

Zhao

et al. 2011

AMR

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In this paper, a new method to design bar tacking machine is introduced. According to multidiscipline model design rule, mechanical, kinematic and control model of the bar tacking machine are constructed. Based on such models, a mechatronic cooperative design and simulation environment is setup by using RecurDyn and Matlab/simulink software. By analyzing the working condition of this machine and using them as the input, some working results can be got from the environment. Ideal output is reached by modifying the design schedule and parameter. By this method, designing efficiency is improved and the testing cost is reduced.

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Effect of belt extensibility on variation of the relative position of a needle and a hook in a sewing machine

Zaja̧czkowski

2000

International Journal of Clothing Science and Technology

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Considers the mathematical modelling of sewing machines. The machine with a rotary hook and with a feed mechanism driven by two triangle cams is studied. The behaviour of the system is described by a set of non‐linear autonomous ordinary differential equations. It is shown that, due to the timing belt extensibility, the actual relative position of the needle and the hook is different from that expected. This difference is a result of the conflict between the almost constant speed of the hook shaft and the fluctuating speed of the crank‐shaft caused by the reciprocating motion of working elements. The vibration of the belt increases with speed. Resonance increase of vibrations takes place when the shaft speed is equal to natural frequency or its fraction 1/n for n = 1, 2, 3, 4, 5.

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Vibrations of a crank‐shaft in a sewing machine induced by a zigzag mechanism

Cited by 3 publications

References 6 publications

Noise source identification for industrial sewing machines based on non-linear partial least squares regression model

Noise source identification for industrial sewing machines based on non-linear partial least squares regression model

Mechatronic Cooperative Design and Simulation of a Multi-Axis Bar Tacking Machine

Effect of belt extensibility on variation of the relative position of a needle and a hook in a sewing machine

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