Achieving Consistent Quality With Optimum Performance: Technical Seminar
Achieving Consistent Quality With Optimum Performance: Technical Seminar
Marketing
Uster Quantum 4.0
Basics of yarn clearing
Definition
Uster Quantum 4.0 is built on three pillars: Security, Flexibility and Prevention.
This makes this clearer generation unique in combining the main sensor technologies to gain
higher performance in innovative yarn clearing.
Every defect has a cost! Proactive quality management towards prevention of defects will help to maintain consistent
quality in the final package and keep costs lower.
Smart Duo
technology
Connected
clearer
Tried and
trusted
Uster Quantum 4.0 combines capacitive and optical clearing in one only solution.
It’s possible to switch between the 2 different technologies at any time
• Any winder can produce any material, without being dedicated to special products (e.g., conductive yarn)
• Quality is always protected by any possible issue, regardless of the clearing technology used
With the new capacitive yarn clearers with foreign matter detection, the spinning mill holds all the cards and
can apply the best clearing detection for all applications and conditions.
• The spinning mill is producing Ne 25 PV Xorella conditioned cops. Based on wet splicer water dosage
customer switches between C & Copt.
• Based on trials customer able to work with C clearing for Xorella conditioned.
• Thanks to Uster Quantum 4.0 Smart Duo technology able to adopt based on need and working
conditions.
Uster Quantum 4.0 can analyze and compare both the capacitive and optical signal at the same time.
• There is no need to define a second clearing limit, it simply needs to be selected a sensitivity level like open –
medium – close
• Cross clearing cuts will mainly happen under bad ring-spinning conditions.
• For instance, cross clearing cuts X can indicate that the cleaning on the ring spinning machine is overdue
Combining the optical and capacitive signal, Uster Quantum 4.0 can
monitor the yarn density, both continuously and after every splice
Count CSP TPI CVm CV1m CV3m Thin -30% Thick +35% Nep +140% H Remarks
27.78 2773.00 17.95 12.14 3.60 2.79 670.00 180.00 340.00 5.64 Ref cop
27.88 2827.00 17.93 12.6 3.05 2.23 1050.00 340.00 510.00 5.27 Ref cop
27.83 2800.00 17.94 12.37 3.33 2.51 860.00 260.00 425.00 5.46
Alarm cops
19.18 12.59 3.35 2.61 1090.00 280.00 580.00 6.87 High TPI & H
18.98 12.67 3.30 2.46 1020.00 310.00 340.00 7.86 High TPI & H
19.03 12.12 2.88 2.07 680.00 340.00 210.00 5.87 High TPI
18.80 less cop content
17.63 less cop content
18.55 12.63 3.72 3.09 940.00 290.00 270.00 7.74 High H
19.03 12.35 3.08 2.51 820.00 310.00 420.00 6.92 High TPI & H
17.60 12.28 3.50 2.81 790.00 270.00 280.00 6.37 High H
18.60 12.44 3.31 2.59 890.00 300.00 350.00 6.94
Swarm clearing detects faults that are in a certain area below the clearing limits. Those faults are not
disturbing as individuals but can cause fabric appearance issues due to their concentration on a short length.
• Fault concentration is avoided,
protecting the fabric appearance
• Detected faults can be thick / thin
places or Foreign Fibers
• Multiple defects can be eliminated
with a single cut, reducing overall
cuts (splices)
• Protects the final yarn quality
while reducing cuts (and splices)
at the same time
• Prevents issues in fabric
appearance, related to Swarm
events
Uster Quantum 4.0 now offers the possibility to view PP classification and Advanced FD classification
Core Yarn can detect missing core and off-center core, thanks to the combination of optical and capacitive
sensors.
• Second iteration of the Core
Yarn feature, that had a great
success in the market
• Now also able to detect
missing core and off-center
Core continuously, this is
possible due to the new
sensors, and higher
processing power
• Prevents all the related issues
in fabric appearance, related
to missing and off-center core
Customer feedback
40s core 73024 1
• 6 months yarn production data
30s core 30399 0 • No market complaints
The Blend mix-up can detect cops with a different material composition being mixed up in greige yarns.
• Protects yarn quality from mixing up cops with different material blends
• Prevents all the related issues in fabric appearance, related to material mix-ups
Cross clearing
Blend Mix up
Density and
Continuous Density
Uster Quantum 4.0 offers a central Smart Limit button, located on the Overview screen
Uster Quantum Expert makes data collection of yarn clearers automatic, combined with secure storage and
efficient reporting.
and more
Uster Quantum Expert
Uster RSO 3D
Marketing
Uster Jossi Vision Shield
Generations and changes over time
1995 – 1999 1999 – 2003 2003 – 2005 2005 – 2009 2009 – 2012 2012 – to date 2016 – to date
Uster Jossi Vision Uster Jossi Vision
TVS 1000 COMPACT DIRECT DIRECT MPIX (+) INSPECT Shield T Shield 2
Top-Down Flow / Duct Bottom-Up Flow / Short Duct Bottom-Up flow / On Fine Cleaner
Right presentation of tufts size is essential for good results
Ejected material approx. 30 g Ejected material approx. 8 g Ejected material approx. 0.5 – 1.0 g Ejected material approx. 0.4 - 1.0 g
Product Portfolio Uster Jossi Vision Shield 2 / T Uster Jossi Magic Eye 2 Uster Jossi Vision Shield N
Market / Application
Spinning
1,200 mm
Nonwovens
Synthetic fibers 1,200mm 1,200 mm and 1,600mm
Bleached cotton
Special application:
Recycled or colored Uster Jossi Vision Shield 2 recommended Depending on the application
fibers, Kashmir, etc...
Imaging Spectroscope
Uster Jossi Magic Eye, an option for high quality demands such as
white, transparent and cotton colored plastics (PES/PET/PP)
• Ejected contamination picture is always shown, allowing fast action in case fine tuning of
settings is needed
• Teaches the color of the raw material and set the ‘0-Line’
• Adapting to the color shade of the new raw material
qualities (bale laydown)
• Quick Teach will ensure that no false ejection are ever
performed in case of a laydown change
• This reduces waste of good material and a decrease of
yearly costs
Main benefits of Uster Jossi Vision Shield and Uster Jossi Magic Eye 2:
• Highest performance in PP detection with the Magic Eye 2.
• Detection of Colored, White and transparent contamination, and mulch foils.
• Less good fiber loss per ejection: ~ 0.5 g
• The Total Contamination Control value module is unique on the market, loved by many
customers and ROI proofed.
– Winding cuts reduction
– Meeting end user’s quality requirements
Marketing
Total Contamination Control
TCC - Minimized waste and maximum productivity
• Initial cleaning at the beginning of the process before scattering into smaller pieces and final
inspection with Uster Quantum 4.0
• Know-how to set up both systems to optimally meet customer demands
• One service contact for both systems worldwide
49 19.03.2024 © Copyright 2024 by Uster Technologies AG
Total Contamination Control
Inheritant issues of existing methods of contamination control
• Ejections are in absolute value per hour – Does not take account of
productivity
• No Co-relation between data from blowroom and winding.
• If at all there, then one has to make it manually which is quite difficult & time-
consuming requiring extra manpower.
• Measuring units at both blowroom & winding are different making it again
difficult to analyze.
Ejections/100KG Contamination/KG
Uster Vision Expert Server Uster Quality Expert Server Quantum Expert Server
• Cotton quality and fiber cleaning systems can influence the overall level of
remaining contaminants
High workload on
Both systems are
the clearer but low
low, this indicates a
performance on the
Low
clean cotton
UJVS
Low High
Uster Quantum 4.0 FD events
• Comparison of long-
term trend of both fiber
cleaning and yarn
clearing systems
Conclusion
• By continuous monitoring in
TCC reports (Correlation
and benchmark), it was
possible to reduce the
ejections by about 30% in
this study.
Study benefits
300 ejections/100kg saved after TCC
implementation
‒ 0.9% reduction in waste leads to about
6.5 tons of waste savings per year
(US$ 8,000)
‒ Energy savings – 437’034 Taka (US$
5’244)
• 1500 ejections per hour saved for 500kg
production per hour and over all 10.5 million
ejections saved per year (20 hours per day and
350 days per year)
• Air consumption saved overall is about 741,615
cfm
• Power units saved overall is about 112,060 units
annually
Facts – Statistics
1Nl = 0.035314 cfm
Quality of sorting improved by 12% due to
Per ejection air consumption – 2Nl (equ to 0.07063 cfm)
I unit cost in Bangladesh – 3.9 Taka (own power generation) 8 Taka (Government power)
reduction of ejected quantity per day
1 Taka – US $0.012
Power consumption per unit – 0.1875 m3/min (160Kw – 30m3/min)
1m3/min = 35.3cfm
Power consumption per unit = 6.618 cfm
Marketing
Raw Material Management – Current Mill Practices
Challenges and Pain Points
LOT Variety Station Warehouse Stock Mic UI SFI Str Elg Rd +b Trash 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
UTZLOT-018
UTZLOT-038
UTZLOT-003
UTZLOT-002
EMOT
MECH
S6
MECH
D
A
B
E
WH1
WH1
WH1
WH1
100
70
100
100
4.02
3.97
4.46
3.93
84.3
84.3
83.4
84.7
6.50
6.00
6.50
5.90
32.00
31.40
30.60
31.00
4.7
4.9
4.9
4.6
77.0
80.3
76.0
79.2
9.6
8.4
9.4
9.6
3.50
2.70
4.30
3.60
4
4
4
4
4
4
4
0
0
4
4
0
0
0
4
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
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0
0
0
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0
0
0
0
0
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0
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0
0
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0
0
0
Subjective Analysis
UTZLOT-086 EMOT E WH1 100 3.86 84.4 6.30 30.50 4.7 80.0 8.7 2.90 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 2 0 0 0 0 0 0 0
UTZLOT-117 S6 C WH1 60 3.91 84.0 6.60 30.70 4.7 77.1 8.4 4.45 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 0 0 0 0 0 0
UTZLOT-017 S6 C WH2 100 4.04 84.3 5.90 32.50 5.0 75.1 10.0 3.75 4 4 4 4 4 4 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
UTZLOT-135 EMOT C WH2 100 3.76 84.7 6.10 30.60 4.8 76.6 8.9 2.80 4 4 4 4 4 4 4 4 4 4 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
UTZLOT-097 MECH B WH2 50 4.39 84.3 6.30 31.20 4.8 76.2 10.3 3.85 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 0 0 0 0 0
UTZLOT-007 EMOT D WH2 40 4.31 84.9 6.00 32.10 4.8 76.5 9.6 3.00 4 4 4 4 4 4 4 4 4 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
UTZLOT-103 EMOT A WH1 80 4.98 84.3 6.10 33.10 4.3 76.9 8.4 3.80 4 4 4 4 4 4 4 4 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 4 4
to consider
UTZLOT-055 MECH B WH2 60 4.08 84.8 6.10 31.40 5.0 77.0 9.0 3.70 4 4 4 4 4 4 4 4 4 4 4 4 4 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
UTZLOT-021 MECH E WH1 50 4.39 84.9 5.90 32.70 4.5 77.9 8.3 4.20 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 0 0
UTZLOT-139 MECH A WH1 100 4.42 85.0 6.10 30.70 4.7 76.5 8.7 3.80 3 3 3 3 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
UTZLOT-037 EMOT A WH1 50 4.47 84.8 6.20 31.10 4.4 76.9 9.0 4.95 3 3 3 3 3 3 3 3 3 3 3 3 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
UTZLOT-001 EMOT B WH1 80 4.18 83.5 6.60 32.60 4.3 75.7 8.6 3.90 3 3 3 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
UTZLOT-089 MECH B WH1 50 4.48 84.7 5.90 30.60 4.9 75.3 9.8 4.45 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4 4 0 0 0 0 0 0 0 0 0 0 0
UTZLOT-015 EMOT D WH1 50 4.32 84.3 6.70 30.50 4.7 75.6 8.9 4.80 3 3 3 3 3 3 3 3 3 3 3 3 0 0 0 0 4 5 0 0 0 0 0 0 0 0 0 0 0 0
UTZLOT-093 S6 A WH2 70 4.45 83.8 6.30 31.90 4.8 74.8 10.0 4.60 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 0 0 0 0 0 0 0 0 0 0 0 0 0
UTZLOT-129 S6 E WH2 90 4.37 84.2 6.10 31.30 4.7 74.1 9.7 5.80 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 0 0
UTZLOT-079 S6 A WH2 100 3.72 83.8 6.30 32.30 4.5 76.0 8.4 3.80 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 0 0 0 0 0 0 0 0 0 0 0 0 0
UTZLOT-072 EMOT A WH2 90 4.30 84.4 6.10 31.80 4.5 74.8 9.1 5.25 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 0 0 0
Risk of mistakes
UTZLOT-059 EMOT D WH1 60 4.74 84.5 6.70 30.40 4.2 72.7 8.8 5.05 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 0 0 0 0 0 0 0 0 0 0 0 0 0
UTZLOT-053 MECH A WH2 70 4.56 82.8 6.40 30.10 4.6 75.6 7.9 3.80 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
UTZLOT-027 S6 B WH1 70 4.94 83.2 6.50 30.50 4.7 75.8 8.4 3.90 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
UTZLOT-028 S6 E WH2 100 4.62 84.4 6.20 30.50 4.7 71.1 9.4 5.10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
UTZLOT-025 EMOT A WH2 80 4.99 84.7 6.30 29.00 4.1 72.2 8.5 4.80 0 0 0 0 0 0 0 0 0 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 5 0 0 0 0 0
UTZLOT-026 EMOT A WH2 50 4.38 82.5 6.80 30.90 5.3 75.4 8.6 4.60 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 7 6 5
UTZLOT-023 S6 A WH2 50 4.22 84.3 6.60 30.00 4.3 72.0 9.4 5.70 0 0 0 0 0 3 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 3 0 0
UTZLOT-144 S6 C WH2 60 4.41 83.4 6.80 29.30 4.4 70.7 8.8 4.60 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 4 4 4 4 4 5 4
UTZLOT-024 S6 D WH1 100 4.47 83.9 6.30 29.40 4.3 70.5 9.1 4.80 0 0 0 0 0 0 0 0 0 0 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
UTZLOT-145 MECH C WH1 75 4.32 85.1 6.00 31.00 4.5 74.0 10.2 4.20 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
UTZLOT-142 MECH A WH2 100 4.64 84.6 6.00 32.30 4.8 74.9 9.4 4.30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
UTZLOT-022 EMOT A WH2 50 4.25 84.6 6.30 30.00 4.1 72.0 8.3 4.89 0 0 0 4 4 4 4 4 4 4 4 4 4 4 4 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0
UTZLOT-143
UTZLOT-140
UTZLOT-141
UTZLOT-020
MECH
S6
S6
EMOT
A
A
B
B
WH2
WH1
WH1
WH1
50
95
100
55
4.35
4.63
3.88
4.58
84.2
83.8
83.2
83.5
6.40
6.60
6.60
6.50
31.40
30.20
30.70
29.00
4.0
4.3
4.8
4.3
72.1
71.4
74.6
71.7
8.0
8.2
8.3
8.3
4.07
5.03
3.98
4.11
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
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0
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0
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0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
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0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
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0
0
0
0
0
0
0
0
3
0
0
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6
0
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5
0
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4
0
0
0
5
0
0
0
4
0
0
0
Hard to monitor within
Laydown
Manual Excel entries = the current raw material management
tool for the majority of the mills Hard to analyze between
• One advantage is a pragmatic, flexible selection of lots with Laydowns trends
one or two parameters and monitoring over short periods of
time. Hard to establish
• However, there are many Challenges as listed on the right: fiber vs yarn trends
Textile Expertise
Adoption and Advisory
Services for fast transition to
the new Solution as well to
enable maximized,
sustainable business value.
Data-enabled Software
to support the analysis
Connected, Cutting- and data interpretation
edge Hardware which can then enable
to support the actionable insights.
measurement and
enable the data
analysis value