Introduction:
Count is a numerical experiment which defines fineness or corners of yarn.
Count is a number indicating the mass per unit length or per unit mass.
There are
two types of count
- Direct
- Indirect
Objects:
- To know about yarn count
- To calculate yarn fineness
- To calculate yarn consumption
- To maintain the buyer requirement
Working
principle: To know that matric count is an indirect count system. In an indirect
system the yarn number or count is the number of the units of length per unit
of weight.
Matric
count: The number of lea of 1000m of yarn present in 1 kg of yarn is known as
matric count and denoted by Nm. So mathematically
Nm =(L×w)÷(l×W)
Where,
Nm =Count
L
= Sample length
L
=Unit of length
W
=Unit of weight
W
=sample weight
Machine Description: In this
experiment we saw that this machine contains more bobbin, one tension and yarn
taker. The warp Reel is used to measure the length of yarn. This yarn is taker
by a wheel where circumference is 1.5 yds Electric balance is used to determine
the weight of cotton yarn and we also use one bobbin carrier.
Warp Reel |
Apparatus:
- Bobbin carrier
- Yarn package
- Yarn tension
- Handle
- Wrap Reel
- Electric balance
- Steel bar
Working Procedure: In this experiment
at first we have taken a yarn package and put it on the bobbin carrier then.
The yarn passed through the yarn tensioner to wrap reel then we start moving
the handle wheel and it is moving 80 times then we found our desired one then
we complete the calculate and found the count CV% controlling working action
etc. Before calculation we weight the desired yarn finally. By this value we
draw the graph of control limit.
Calculation: From table 1 count N
We know that, Nm =(sample length ÷ unit of length) × (unit of weight ×
sample weight)
So ,
Nm1 = (120yds÷1000m) × (1kg ÷ 2.12gm)
=(109.2 ÷1000) ×
(1000 ÷2.12) = 52.72
Nm2 =(109.2 ÷1000) × (1000 ÷2.10) = 52.22
Nm3 =(109.2 ÷1000) × (1000 ÷2.16) = 50.77
Nm4 =(109.2 ÷1000) × (1000 ÷2.08) = 52.70
Nm5 = (109.2 ÷1000) × (1000 ÷2.14) = 51.25
Average count: =51
From table 2:- SD = 0.76
CV% = 1.46%
CL = 51
UCL = 72.42
LCL = 29.57
UWAL = 65.28
LWAL = 36.71
Table 01:- Table for average count
Obs
no
|
Sample
length
|
Length
unit
|
Sample
weight
|
Weight
count
|
Count
|
Average
count
|
1
|
120
|
1000m
|
2.12
|
1000gm
|
51.74
|
51.73
|
2
|
120
|
1000m
|
2.10
|
1000gm
|
52.22
|
|
3
|
120
|
1000m
|
2.16
|
1000gm
|
50.77
|
|
4
|
120
|
1000m,
|
2.08
|
1000gm
|
52.70
|
|
5
|
120
|
1000m
|
2.14
|
1000gm
|
51.25
|
Table 2:-Table for efficient of variation
Obs
no
|
count
|
Average
count
|
(Xi-X)2
|
SD
|
CV%
|
1
|
51.74
|
51.73
|
0.01
|
0.76
|
1.46
|
2
|
52.22
|
o.24
|
|||
3
|
50.77
|
0.921
|
|||
4
|
52.70
|
0.94
|
|||
5
|
51.25
|
0.23
|
Table 3:- table for controlling Value
UCL
|
UWAL
|
CL
|
LWAL
|
LCL
|
72.42
|
65.28
|
51
|
65.28
|
29.57
|
Result: The selected cotton yarn is 76
and the value of co-officient variation is 1.17%
Remarks: In this experiment we know
about the matric count system and it is helpful in our working life and to be a
good textile engineer, we must know it very well.
.
Thank you so much for giving everyone an extraordinarily splendid possiblity to read articles and blog posts from this website.Wrap Reel,to produce skeins of yarn of a pre-determined length and number of turns for count and strength testing.
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