USTER CLASSIMAT: USTER classimat is used for the detection and classification of faults in the yarn. We can also cut the yarn faults, but this is not done for production point of view.
HISTORY: The introduction of the USTER® CLASSIMAT 1 in 1968 revolutionized the checking and determining of yarn quality in production and commerce. The later models CLASSIMAT 2 and CLASSIMAT 3 optimized and extended the application possibilities. The USTER® CLASSIMAT QUANTUM offers even more advanced classification possibilities. With With the the intr introd oduct uctio ion n of the the USTE USTER® R® STAT STATIS ISTI TICS CS 2007, 2007, the the USTE USTER® R® CLAS CLASSI SIMA MAT T QUANTUM is the only international classification standard accepted worldwide. USTE USTER® R® CLAS CLASSI SIMA MAT T QUAN QUANTU TUM M is base based d on the the succ succes essf sful ul USTE USTER® R® QUAN QUANTU TUM M technology technology and offers offers even more advanced classific classification ation possibilities possibilities compared to previous previous generations. For the first time, foreign fibers and vegetables can be reliably classified. Foreign fibers are classified into 27 classes according to the FOREIGNCLASS®, recognized worldwide. The USTER® CLASSIMAT QUANTUM also gives the possibility to define new customized classes called “Tailored classes”. With the introduction of the USTER® STATISTICS 2007, the USTER® CLASSIMAT QUANTUM is the only international classification standard accepted worldwide.
EFFICIENCY OPTIMIZATION: With With the USTER® USTER® CLASSI CLASSIMAT MAT QUANTU QUANTUM, M, we can check check cleare cleared d and unclear uncleared ed yarn, yarn, providing classification of thick and thin places, as well as checking infrequently occurring yarn defects and foreign fibers in the yarn. We can determine the optimal limits for yarn clearing, analyze new material and competitors products – and improve the quality and value of your yarns.
FOREIGN FIBER CLASSIFICATION: With the USTER® CLASSIMAT QUANTUM, foreign fibers and vegetables can be reliably clas classi sifi fied ed.. Fore Foreig ign n fibe fibers rs are are clas classi sifi fied ed into into 27 clas classe sess acco accord rdin ing g to the the USTE USTER® R® FOREIGNCLASS, recognized worldwide.
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We get benefits from the following advantages: •
Assess and track contamination level of your raw material according to the origin.
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Benc Benchm hmar ark k agai agains nstt the the inte intern rnat atio iona nall stan standa dard rdss usin using g the the inte integr grat ated ed USTE USTER® R® STATISTICS 2007.
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Defining customized classes allows targeted monitoring of individual faults for foreign fibers.
DETERMINATION DETERMINATION OF VEGETABLE MATTER CONTENT: USTER® CLASSIMAT QUANTUM allows the distinction to be made between organic and non-organic foreign matter. The organic foreign fibers (vegetable matter such as cotton leaves, stems, seed-coat fragments and bark) disappear after further processing and do not influence the appearance of the yarn. They can therefore stay in the yarn. This information allows conclusions to be drawn regarding the cotton used, its quality and degree of soiling.
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SCATTER PLOT: By representing classification events as a scatter plot, the USTER® CLASSIMAT QUANTUM considerably improves analytical capabilities. It is now possible to see exactly where each event lies within the classification matrix. The representation clearly illustrates, for the first time, the body of the basic yarn and the exceptions. This allows a quick understanding of quality and an objective method to define clearing limits.
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TAILORED CLASSES: The USTER® CLASSIMAT QUANTUM for the first time gives you the possibility to define new customized classes called “Tailored classes.” The system can classify and present the events in the tailored classes for thick, thin and foreign fiber events. Further advantage:
Conversion of USTER® CLASSIMAT QUANTUM results to the previous generation USTER® CLASSIMAT 3 (for thick places only) to facilitate the transition to the new standard.
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CAY SYSTEM: USTER® CAY (Computer Aided Yarn clearing): Using the scatter plot, the clearing limits can be edited graphically using the mouse for thick and thin places as well as foreign fibers. A projection on the number of disturbing events is presented immediately after definition of the new clearing limit.
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Simulati Simulation on of all yarn defects defects and their effect, effect, either in yarn (such as USTER® USTER® GRADES) in woven or in knitted fabric according to choice. It is thus easy to determine the clearing limits.
USTER® STATISTICS: We can compare our measuring results with the international quality benchmarks directly on the screen. This way, we always have our desired quality standard under control. With the USTER® CLASSIMAT QUANTUM, we have the choice between different ways of presenting the measuring results. Permanently configured standard reports or individual, freely configurable report formats can be displayed at any time on the screen and printed via a high performance printer. Detail Detailed ed report reports, s, statis statisti tics cs and trend trend analys analysis is of thick thick and thin thin places places,, foreig foreign n fiber fiberss and vegetable matter allow reliable, fast recognition of quality fluctuations. Thanks to individual reports, quality monitoring can be adjusted to your own requirements. Trends can be observed during freely defined periods of time. The results can be displayed in various configurable tables and graphs graphs,, printe printed, d, and compar compared ed with with USTER® USTER® STATIS STATISTIC TICS S or indivi individua duall custom customer er statistics.
COMPONENTS: Fully equipped system with preinstallation of all required software applications, consisting of capacitive basic measuring head, foreign fiber sensor (optional), control unit, PC, color printer, flat screen, keyboard and mouse.
USTER® CLASSIMAT QUANTUM TECHNICAL SPECIFICATIONS: Technical Design: Architecture:
Intelligent Measuring Head Standalone Classifying Unit Detectors:
Mass Reflectance for Foreign Fiber Configuration:
Capacitive Capacitive and Foreign Fiber
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Functions: Thin and Thick Places: • • •
Detection and analysis of seldom-occurring yarn faults Classification of yarn faults in 23 thick and 4 thin classes Definition of customized class.
Foreign Matter: • • •
Classification of foreign matter in 27 classes. Definition of customized class. Determination of vegetable matter content.
Yarn Count/Weight: • • • •
Monitoring of yarn count C-channel for yarn count faults (detection of incorrect material). Data produced with respect to the incorrect material are rejected. Definition of length and weight of wound yarn.
Evaluation:
Measured values per machine/winding position. Cumulative/per class. • Absolute/per 100 km. • All/remaining yarn faults after QUANTUM clearing. • All/remaining foreign matters after QUANTUM clearing. • CAY (Computer Aided Yarn Clearing system): •
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Scatter plot of foreign matter faults in USTER® FOREIGNCLASS matrix. Determination of optimum clearing curve, based on scatter plot. Online visualization of yarn faults (thick places). Online simulation of defects in fabric or garment Cut prognosis indicates the number of cuts with particular settings.
Application Range: • • • • •
Textile laboratory: for quality control and quality assurance. Production: on the first/last section of the winding machine. For staple-spun yarns of natural and synthetic fibers. Checking of uncleared yarn. Determination of the optimum setting parameters for yarn clearing. 7
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Checking of cleared yarn. Inspection of purchased yarn.
Power Supply:
Supply Voltage 100/120 V; 200/240 V Stabilizing Range ±25% Power Consumption max. 300 VA Measuring Head: Measuring Heads:
Two types of measuring heads for different yarn count ranges. Yarn Count Range: C15: Nm 10 – 280 Nec 6 – 170 100 – 3.7 tex C20: Nm 5 – 125 Nec 3 – 75 200 – 8 tex
USES: • • • • •
Reliab Reliable le recogn recogniti ition on of infre infreque quentl ntly y occurr occurring ing yarn yarn defe defects cts Incomi Incoming ng and and outgoi outgoing ng inspe inspecti ction on of clea cleared red and and unclea uncleared red yarn yarnss Qual Qualit ity y moni monito tori ring ng of prod produc ucti tion on Qual Qualit ity y cert certif ific icat ates es for for com comme merc rcia iall use use Benchmarking with USTER® STATISTICS
SOFTWARE: CLASSIMAT QUANTUM including CAY®, USTER® STATISTICS 2007, customer statistics, trend analysis.
WINDING MACHINES: The system can be installed on most manual and automatic winding machines. machines.
STUDY OF USTER CLASSIMAT FOR A PARTICULAR COUNT: Our research was about the study of classimat corresponding to warp count of 40 single yarns combed. It is used for the evaluation of the efficiency of quantum clearer mounted on the autoconer in such a way that the cutting of the faults is being made in accordance to the settings made on the electronic yarn clearer. It is equipped with the facility to classify the faults of NSLT 8
and foreign matter. Classimat basically consists of a creel on which packages are mounted and they are passed through a quantum clearer and then wound on cone package. When yarn passes through the quantum the faults are detected and classified by the software in the connected computer. On the system the operator has option of feeding specifications and the observed material parameters, the operator can feed parameters in ARTICLE column on the computer. The settings for NSLT faults are adjusted according to the material requirement. Similarly the settings for the foreign matter are done on the display screen. CAY (computer aided yarn clearing) system is an optimization tool installed in classimat used for fine tuning of settings of electronic yarn clearer on the auto cone to avoid complaints and to make yarn quality up to the mark. In CAY system we have the option for minimizing faults by graphical adjustment of the curve and checked by simulating the yarn faults. Our study was based on 100% cotton combed ring spun yarn of 40Nec bobbins for knitted fabrics. Following results were observed, Reports are attached for further reference:
Sr NO. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
Faults Category No. Of per100km. A1 9 A2 9 A3 <5 A4 12 B1 37 B2 <5 B3 <5 B4 <5 C1 59 C2 <5 C3 <5 C4 <5 D1 <5 D2 <5 D3 <5 D4 <5 E <5 F 56 G <5 H1 91 H2 <5 I1 0 I2 0 9
observed
faults
The results show that Quantum clearer installed on the machine is working efficiently as the imperfections in the yarn are in acceptable limits.
USTER® CLASSIMAT: It classifies faults in 23 different categories. From study of faults and research, the origin of faults has been tried to find. And tables are formulated from the research with the origin of faults. The tables are attached with the assignment for further references.
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