Optimisation Of Direct Current Fibre Splitter Working Details

Scientists have developed innovative saw gin technology to improve cotton fibre separation during pre-treatment. This technology utilises a straight-flow fibre separator designed and tested in a laboratory setting.

The research confirms the potential of this selective sawing approach for cotton processing. However, further refinement is needed to optimise its performance. To achieve this, researchers conducted a series of experiments focusing on three key factors: saw cylinder rotation speed, cotton feed rate, and the angle of certain separator elements.

These factors were chosen for their influence on achieving an efficient and smooth separation process.  Eight experiments were conducted using a full factorial design, with each factor tested at two levels (high and low). The experiments were carried out on a Tashkent-6 II sorter, a commonly used cotton processing machine.

The findings from this study demonstrate the promise of selective sawing technologies for cotton pre-treatment. Further research will focus on refining the separator design and optimising operating parameters to maximise its effectiveness in the cotton processing industry.
DesignationThe name of the factorsUnit of measureChange level
X1Saw cylinder rotation speedm/s6,715,0
X2Intensive flow of cotton piecesG/ arra min.100550
X3The weighting element is the angle of rotation-03065
Full factorial experiment 23=8 working matrix
Procedure of experimentsfactors

Accurate manipulation of input and output parameters is crucial for successful experimentation. During the experiment, the seed’s condition and quality grades were considered as the output variables for determining the factors affecting the outcomes.

U1.-summary of defects and pollution

U2- Sprout and melted seed

U3 is a major impurity

U4-may impurity

U5 – short length: modal spatula

U6-half-length spatula

U7-short fibre

U8- breaking strength

U9- Seed incompleteness

U10-Seed damage

Based on the findings of the experiment, an analysis was conducted on how various factors impact the straight-flow generation processes using a second-order regression multifactorial mathematical model. The initial factor examined was the sawing speed’s influence on quality indicators, revealing that excessive speed negatively affects all wood quality metrics. Specifically, fibre was identified as the primary cause of decreased modulus and stamp length. The second factor, cotton piece flow in ginning, has a complex physical influence, especially in reducing dynamic forces impacting mass by controlling fibre feed. Factors like damaged fibre reduction, increased fibre length, and seed damage are affected. Lastly, the deviation angle of bending elements significantly impacts results, with higher angles yielding longer fibres but compromising overall fibre quality. Through optimization, factors such as saw cylinder rotation speed, cotton piece flow, and bending element angles were identified as crucial for enhancing output quality in selective technology ginning equipment.

  • Saw cylinder speed: 11.7 m/s
  • Cotton flow rate: 500 G/saw.min
  • Bending element deflection angle: -45 degrees

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