Simulation of Fiber Arrangement in the Sliver with Fiber Separation Degree

2020 ◽  
pp. 1-9
Author(s):  
Na Sun ◽  
Chongwen Yu
2021 ◽  
pp. 004051752110342
Author(s):  
Na Sun

Sliver irregularity, straightness and separation degree of fibers are three crucial factors in sliver quality. Considering the straightness and separation degree, the drafting model based on the fiber arrangement in the sliver was applied to simulate the drawing process. First, the fiber arrangement in the carding sliver was developed. Then, the drafting process was divided into the low-velocity stage, straightening stage and high-velocity stage to carry out the redistribution of the fiber arrangement so that the sliver quality after drafting can be recalculated from the new fiber arrangement after the drafting procedure. Combining the doubling procedure, the simulated sliver quality of each drawing process was demonstrated to be close to the actual values, taking the straightness and separation degree into consideration. The relative errors between the simulated straightness and percentage of separated fibers and the tested one were all less than 10%. The prediction accuracy of sliver irregularity was raised by about 40%. In addition, the simulated results strongly confirmed the theory that the drawing process has an influence on straightening the hooked fibers, separating the fiber in the assembly and improving the sliver evenness, which cannot be reflected in previous models.


2021 ◽  
pp. 138527
Author(s):  
Nicholas R. Cross ◽  
Derek M. Hall ◽  
Serguei N. Lvov ◽  
Bruce E. Logan ◽  
Matthew J. Rau

2021 ◽  
pp. 1-12
Author(s):  
Junqing Ji ◽  
Xiaojia Kong ◽  
Yajing Zhang ◽  
Tongle Xu ◽  
Jing Zhang

The traditional blind source separation (BSS) algorithm is mainly used to deal with signal separation under the noiseless model, but it does not apply to data with the low signal to noise ratio (SNR). To solve the problem, an adaptive variable step size natural gradient BSS algorithm based on an improved wavelet threshold is proposed in this paper. Firstly, an improved wavelet threshold method is used to reduce the noise of the signal. Secondly, the wavelet coefficient layer with obvious periodicity is denoised using a morphological component analysis (MCA) algorithm, and the processed wavelet coefficients are recombined to obtain the ideal model. Thirdly, the recombined signal is pre-whitened, and a new separation matrix update formula of natural gradient algorithm is constructed by defining a new separation degree estimation function. Finally, the adaptive variable step size natural gradient blind source algorithm is used to separate the noise reduction signal. The results show that the algorithm can not only adaptively adjust the step size according to different signals, but also improve the convergence speed, stability and separation accuracy.


2011 ◽  
Vol 328-330 ◽  
pp. 2386-2389
Author(s):  
Jiang Xu

As a traditional mode, Mass Production in real estate development is having changed to Housing Mass Customization. It is considered that not only production formalization and demand personalization could be combined with well by HMC mode,but also the separation degree between housing supplies and housing demand could be decreased in a great extent. The traditional pricing methods ,such as market comparison approach ,discounted cash flow and cost approximation, are not suitable for determining the price of residential development project produced by housing mass customization mode. In the paper, market behavior of HMC project is analyzed, and it is found that forward contracts theory can be applied to determine the HMC project price. In the finial, an appropriate pricing method is put forward .


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