Introduction:
Count is a numerical process which defines fineness or corners of yarn. Count
is a number indicating the mass per unit length or per unit mass.
Objects:
- To know about yarn count
- To calculate yarn fineness
- To calculate yarn consumption
- To maintain the buyer requirement
Workingprinciple: We know about denier count is a direct count system. In a direct
system the yarn number or count is the number of units of weight per unit length.
Denier count: The weight of a fixed length 9000m
of yarn is determined as the weight per unit length is the yarn count. So mathematically,
N =(W×l)÷(W×L)
Where,
N = Yarn 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 taken
by a wheel where the circumference is 1.5 yards 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 N =(sample weight ÷ unit of weight) × (unit of length ×
sample lenght)
So ,
N1 = (2.11gm÷1gm) × (9000m ÷ 109.2)=173.90
N2 = (2.12gm÷1gm) × (9000m ÷ 109.2)=174.72
N3 = (2.10gm÷1gm) × (9000m ÷ 109.2)=173.07
N4 = (2.13gm÷1gm) × (9000m ÷ 109.2)=175.54
N5 = (2.12gm÷1gm) × (9000m ÷ 109.2)=17.72
Average count: =174
From table 2:- SD = 0.76
CV% = 1.22%
CL = 174
UCL = 213.51
LCL = 134.42
UWAL =200.38
LWAL = 147.61
Table 01:- Table for average count
Obs no
|
Sample length
|
Length unit
|
Sample weight
|
Weight count
|
Count
|
Average count
|
1
|
120
|
9000
|
2.11
|
1
|
173.90
|
174.39
|
2
|
120
|
9000
|
2.12
|
1
|
174.72
|
|
3
|
120
|
9000
|
2.10
|
1
|
173.07
|
|
4
|
120
|
9000,
|
2.13
|
1
|
175.54
|
|
5
|
120
|
9000
|
2.02
|
1
|
174.72
|
Table 2:-Table for
efficient of variation
Obs no
|
count
|
Average
count
|
(Xi-X)2
|
SD
|
CV%
|
1
|
173.90
|
174
|
0.01
|
2.125
|
1.22
|
2
|
174.72
|
o.51
|
|||
3
|
173.o7
|
0.86
|
|||
4
|
174.54
|
0.37
|
|||
5
|
174.72
|
0.5
|
Table 3:- table for
controlling Value
UCL
|
UWAL
|
CL
|
LWAL
|
LCL
|
213.61
|
200.38
|
174
|
147.61
| 134.42 |
NO OF EXPERIMENT |
Result: The selected cotton yarn is 174 and the value of co-efficient variation is 1.22%
Remarks: In this experiment we know
about the Denier count system and it is helpful in our working life and to be a
good textile engineer, we must know it very well.
.
The info you offer on this website has helped me greatly. Thanks for all of your time & work.It's necessary to chose a good Wrap Reel for saving time and money.
ReplyDeleteThanks for your sharing. It did help me to know more about Yarn count test
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