1 ‘ ‘ LFA’ SELF-LEARNING FUNCTION LFA’ SELF-LEARNING FUNCTION - SMART MATRIX FEEDER & ULTRAFEEDER - - SMART MATRIX FEEDER & ULTRAFEEDER - Presentation Presentation NEW NEW BTSR® Patent By BTSR Marketing Dept., January 2008
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‘‘LFA’ SELF-LEARNING FUNCTIONLFA’ SELF-LEARNING FUNCTION- SMART MATRIX FEEDER & ULTRAFEEDER -- SMART MATRIX FEEDER & ULTRAFEEDER -
PresentationPresentation
NEWNEW BTSR®
Patent
By BTSR Marketing Dept., January 2008
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WHAT IS BTSR ‘LFA’ FUNCTION ?WHAT IS BTSR ‘LFA’ FUNCTION ?
is a special is a special AUTOMATICAUTOMATIC FunctionFunction developed by BTSR developed by BTSR featuringfeaturing
1.1. Yarn Consumption Yarn Consumption Self-learning Self-learning (on each single feed, during a first sample cycle)(on each single feed, during a first sample cycle)
2.2. Yarn Consumption Yarn Consumption Control and ComparisonControl and Comparison (Detected Value vs. Learnt Value)(Detected Value vs. Learnt Value)
3.3. Yarn Absorption Yarn Absorption Compensation & AdjustmentCompensation & Adjustment(on following working cycle, on each single feed)(on following working cycle, on each single feed)
4.4. Machine StopMachine Stop (if % tolerance limits are exceed during STEP 2)(if % tolerance limits are exceed during STEP 2)
‘‘LFA’ SELF LEARNING FUNCTIONLFA’ SELF LEARNING FUNCTION
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COMPENSATION
1
SELF-LEARNING
2
CONTROL
WHAT IS ‘L.F.A.’ ?WHAT IS ‘L.F.A.’ ?
LLength of the ength of the FFed ed AAbsorbed Yarnbsorbed Yarn
The linear quantity of yarn absorbed on a single feed The linear quantity of yarn absorbed on a single feed
of a textile machine by machine revolution / item producedof a textile machine by machine revolution / item produced
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MACHINE STOP
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WHICH BTSR SOLUTION FEATURES ‘LFA’ FUNCTION ?WHICH BTSR SOLUTION FEATURES ‘LFA’ FUNCTION ?
‘‘LFA’ FunctionLFA’ Function
is available on is available on
SMART MATRIX FEEDERSMART MATRIX FEEDER On-board Terminals On-board Terminals
connected toconnected to
a number of a number of ULTRAFEEDERULTRAFEEDER Feeding Devices Feeding Devices installed on the textile Machineinstalled on the textile Machine
‘‘LFA’ SELF LEARNING FUNCTIONLFA’ SELF LEARNING FUNCTION
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• Circular Knitting and Hosiery Processes - Circular Knitting Machines (socks, hosiery, seamless, medical) - Large Diameter Circular Machines
• Flat Knitting Processes Flat knitting and Warp Knitting Machines
• Narrow Fabric Looms Warp Knitting, Raschel Machines
WHICH TEXTILE MACHINE ?WHICH TEXTILE MACHINE ?
‘‘LFA’ SELF LEARNING FUNCTIONLFA’ SELF LEARNING FUNCTION
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WHY IS IMPORTANT WHY IS IMPORTANT
TO MONITOR, CONTROL & ADJUST ‘LFA’ ?TO MONITOR, CONTROL & ADJUST ‘LFA’ ?
1.1. Yarn Tension and Yarn Consumption working values (and their Yarn Tension and Yarn Consumption working values (and their combination) on each single feed of textile processes influence combination) on each single feed of textile processes influence the quality of the fabricthe quality of the fabric
2.2. Incorrect values or undesired variations of set values can bring Incorrect values or undesired variations of set values can bring product defects (i.e. stripes,..), second rate production, yarn product defects (i.e. stripes,..), second rate production, yarn breakages, machine stopsbreakages, machine stops
‘‘LFA’ SELF LEARNING FUNCTIONLFA’ SELF LEARNING FUNCTION
A.A. Prevent Yarn Breakages Prevent Yarn Breakages
B.B. Increase Production EfficiencyIncrease Production Efficiency
C.C. Ensure ‘Top’ Quality ProductsEnsure ‘Top’ Quality Products
BTSR ‘LFA’ FUNCTION BENEFITS BTSR ‘LFA’ FUNCTION BENEFITS
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SMART MATRIX FEEDER vs SMART KTF 2000SMART MATRIX FEEDER vs SMART KTF 2000
- What’s new- What’s new - -
‘‘LFA’ SELF LEARNING FUNCTIONLFA’ SELF LEARNING FUNCTION
SMART MATRIX FEEDER SMART MATRIX FEEDER && ULTRAFEEDERULTRAFEEDER
SMART KTF 2000 SMART KTF 2000 && KTF 100 KTF 100 HPSHPS
SELF-LEARNING
CONTROL & COMPARISON
MACHINE STOP
COMPENSATION
SELF-LEARNING
CONTROL & COMPARISON
MACHINE STOP
NEWNEW
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‘‘LFA’ SELF LEARNING FUNCTIONLFA’ SELF LEARNING FUNCTION
1‘LEARN’ LFA
SELF-LEARNINGCONTROL &
COMPARISONCOMPENSATIO
NMACHINE STOP
2‘SEAMLESS’ LFA
3‘KNIT’ LFA
OPERATIONAL MODE
SMART MATRIX FEEDER SMART MATRIX FEEDER
- Settable ‘LFA’ Operational Modes- Settable ‘LFA’ Operational Modes - -
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11‘‘LEARN’ LFALEARN’ LFA
- The Standard LFA Mode -- The Standard LFA Mode -
‘‘LFA’ SELF LEARNING FUNCTIONLFA’ SELF LEARNING FUNCTION
APPLICATIONS• Circular Socks / Pantyhose Machines, Seamless, Knitting Machines
OPERATIONAL STEPS
1
SELF-LEARNING
2
CONTROL & COMPARISON
3
MACHINE STOP
Self-Learning the amount of yarn fed during a first sample cycle on single feeds
Automatic Periodic Control and ComparisonAt the end of cycle or at intermediate points within the cycle check the ‘detected’ LFA value, comparing it with the ‘learnt’ LFA value on the individual feeds
Machine stop At the end of cycle or at intermediate points within cycle)in case of differences between the LFA ‘Learnt’ and ‘Detected’ values (exceeding the set % tolerance).
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1.1. Knitting Machinery EvolutionKnitting Machinery Evolution• Higher gaugesHigher gauges• Higher number of needlesHigher number of needles• Smaller-sized dimension needlesSmaller-sized dimension needles• Smaller-sized dimension stitch loopsSmaller-sized dimension stitch loops
‘‘LFA’ SELF LEARNING FUNCTIONLFA’ SELF LEARNING FUNCTION
WHY ‘LFA’ COMPENSATION IS STRATEGIC ?WHY ‘LFA’ COMPENSATION IS STRATEGIC ?
2. 2. Environment conditionsEnvironment conditions such as accumulation of dirtiness inside the such as accumulation of dirtiness inside the yarn-guide, temperature changes, temperature differences between yarn-guide, temperature changes, temperature differences between cold and warm machines, etc., can cause cold and warm machines, etc., can cause needles / stitch loops needles / stitch loops variationsvariations, thus , thus influencinginfluencing the amount of yarn adsorbed and then the amount of yarn adsorbed and then product qualityproduct quality (i.e stripes,..) (i.e stripes,..)
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Example 1Example 1 - Accumulation of dirtiness inside the yarn-guide - Accumulation of dirtiness inside the yarn-guide
Working tension can get higher during the process --- > yarn consumption increasesWorking tension can get higher during the process --- > yarn consumption increases
--- > LFA Detected Value < LFA Learnt Value--- > LFA Detected Value < LFA Learnt Value
BTSR ‘Compensation’ System actionBTSR ‘Compensation’ System action
During the following cycle, it decreases by 0.1 g. the value of working tension, During the following cycle, it decreases by 0.1 g. the value of working tension,
in order to compensate and resume the working tension at the ‘Learnt’ valuein order to compensate and resume the working tension at the ‘Learnt’ value
‘‘LFA’ SELF LEARNING FUNCTIONLFA’ SELF LEARNING FUNCTION
HOW BTSR ‘LFA’ COMPENSATION WORKS ?HOW BTSR ‘LFA’ COMPENSATION WORKS ?
Example 2Example 2 - Machine operating temperature increase - Machine operating temperature increase
Yarn consumption can get higher during the process Yarn consumption can get higher during the process
--- > LFA Detected Value > LFA Learnt Value--- > LFA Detected Value > LFA Learnt Value
BTSR ‘Compensation’ System actionBTSR ‘Compensation’ System action
During the following cycle, it increases by 0.1 g. the value of working tension, in order toDuring the following cycle, it increases by 0.1 g. the value of working tension, in order to
to compensate and resume the working tension at the ‘Learnt’ valueto compensate and resume the working tension at the ‘Learnt’ value
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22‘‘SEAMLESS’ SEAMLESS’ LFA ModeLFA Mode
‘‘LFA’ SELF LEARNING FUNCTIONLFA’ SELF LEARNING FUNCTION
APPLICATIONS
• Seamless Circular Machines• Flat Knitting Machines • Large Diameter Circular Machines (separate items production)
3
COMPENSATION
1
SELF-LEARNING
2
CONTROL & COMPARISON
4
MACHINE STOP
NEWNEW
OPERATIONAL STEPS
At the end of everycycle
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‘‘SEAMLESS’ SEAMLESS’ LFA LFA
- Operational Steps -- Operational Steps -
‘‘LFA’ SELF LEARNING FUNCTIONLFA’ SELF LEARNING FUNCTION
1 SELF-LEARNING The system automatically learns the amount of yarn adsorbed during a first sample cycle on single feeds
2 AUTOMATIC CHECK at the end of each cycle, the ‘detected’ LFA value is compared with the ‘learnt’ LFA value on the individual feeds
3
COMPENSATION
1
SELF-LEARNING
2
CONTROL
4
MACHINE STOP
NEWNEW
4 MACHINE STOP in case of ‘Detected’ vs. ‘Learnt’ value differences (exceeding the set % tolerance)
3 COMPENSATION at the end of every cycle, “compensation” of possible
differences* between ‘Detected’ LFA value and ‘Learnt’ LFA value on the individual feeds, by increasing / decreasing by 0.1 g. the processing tension on the feed (ULTRAFEEDER), where such differences have been detected
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‘‘KNIT’KNIT’ LFALFA ModeMode
‘‘LFA’ SELF LEARNING FUNCTIONLFA’ SELF LEARNING FUNCTION
APPLICATIONS
• Large Diameter Circular Knitting Machines
• Narrow Fabric Looms
3
COMPENSATION
1
SELF-LEARNING
2
CONTROL
4
MACHINE STOP
NEWNEW
OPERATIONAL STEPS
At the end of every ‘machine revolution’ / ‘multiple machine revolutions’ cycles
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‘‘KNIT’ KNIT’ LFALFA
‘‘LFA’ SELF LEARNING FUNCTIONLFA’ SELF LEARNING FUNCTION
1 ‘SELF-LEARNING’ STEP - ‘Ideal’ Value Setting -
1a) ‘Average Value’ Automatic Calculation
The system automatically measures the amount of yarn absorbed by all connected devices and calculates the “average value” absorbed by every ULTRAFEEDER device during each “machine revolution”.
1b) Set ‘Ideal Value’ Such value can be changed by the operator, in order to obtain the LFA “Ideal Value”, for each specific application.
PRELIMINARY REMARK
ON KNITTING MACHINES ALL THE FEEDS SHOULD CONSUME THE SAME AMOUNT OF YARN
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33‘‘KNIT’ LFA’KNIT’ LFA’
- Operational Steps -- Operational Steps -
‘‘LFA’ SELF LEARNING FUNCTIONLFA’ SELF LEARNING FUNCTION
1 SELF-LEARNING Yarn Consumption ‘Average’ Value automatic learning and ‘Ideal’ Value setting
2 AUTOMATIC CHECK & COMPARISON at the end of each ‘machine revolution’ cycle (or multiples), the ‘detected’ LFA value on single feeds is compared, with the learnt ‘Ideal Value’
3
COMPENSATION
1
SELF-LEARNING
2
CONTROL & COMPARISON
4
MACHINE STOP
NEWNEW
3 COMPENSATION at the end of each ‘machine revolution“ (or multiples), “compensation” of possible differences between ‘Detected’ and ‘Ideal’ LFA values on the individual feeds, by increasing / decreasing by 0.1 gr. the processing tension on the feed (ULTRAFEEDER), where such differences have been detected
4 MACHINE STOP in case of ‘Detected’ vs. ‘Learnt’ values differences (exceeding the set % tolerance)
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‘‘LFA’ SELF LEARNING FUNCTIONLFA’ SELF LEARNING FUNCTION
‘LFA’ SELF-LEARNING, CONTROL & COMPENSATION
Function
isis
a BTSR INTERNATIONAL SpAa BTSR INTERNATIONAL SpA
Worldwide Registered PatentWorldwide Registered Patent
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For any further detailed information see
BTSR SMART MATRIX FEEDER Operating Manual
Section 2 (‘Operating Instructions’), Pages 38-41 (‘Learn Configuration’)
‘‘LFA’ SELF LEARNING FUNCTIONLFA’ SELF LEARNING FUNCTION