EP0877108A1 - Verfahren und Vorrichtung zum Reinigen von Garnen - Google Patents
Verfahren und Vorrichtung zum Reinigen von Garnen Download PDFInfo
- Publication number
- EP0877108A1 EP0877108A1 EP98106399A EP98106399A EP0877108A1 EP 0877108 A1 EP0877108 A1 EP 0877108A1 EP 98106399 A EP98106399 A EP 98106399A EP 98106399 A EP98106399 A EP 98106399A EP 0877108 A1 EP0877108 A1 EP 0877108A1
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- EP
- European Patent Office
- Prior art keywords
- yarn
- cleaning limit
- cleaning
- defects
- values
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65H—HANDLING THIN OR FILAMENTARY MATERIAL, e.g. SHEETS, WEBS, CABLES
- B65H63/00—Warning or safety devices, e.g. automatic fault detectors, stop-motions ; Quality control of the package
- B65H63/06—Warning or safety devices, e.g. automatic fault detectors, stop-motions ; Quality control of the package responsive to presence of irregularities in running material, e.g. for severing the material at irregularities ; Control of the correct working of the yarn cleaner
- B65H63/062—Electronic slub detector
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65H—HANDLING THIN OR FILAMENTARY MATERIAL, e.g. SHEETS, WEBS, CABLES
- B65H2701/00—Handled material; Storage means
- B65H2701/30—Handled filamentary material
- B65H2701/31—Textiles threads or artificial strands of filaments
Definitions
- the invention relates to a method and an apparatus for cleaning yarn in which Properties of the yarn are recorded and yarn defects to be cleaned by an adjustable Cleaning limit can be defined.
- Such a method is known for example from CH 683 350.
- Two-dimensional yarn defect due to a deviation from a target value of the yarn thickness and the length of the yarn defect are mapped and classified.
- the numbers of yarn defects that have occurred and are measured are entered, for example stored in cells.
- the cleaning limit is set so that it is in the Surroundings of cells with high numbers of yarn defects outside, in the vicinity of cells with low numbers of yarn defects is moved inwards. In this way the number of necessary knots or splices in the yarn is reduced.
- CH 681 462 describes a method for setting response limits electronically Yarn cleaner known.
- the measured values of the Fineness is continuously registered and its distribution is determined. From this distribution and from a predefined permissible alarm frequency based on statistical regularities the response limits are set independently.
- a method for optimally managing a cleaning limit without much effort is missing with that still.
- the invention as characterized in the claims, therefore solves the problem to create a method and a device that allow the determination and Setting the cleaning limit for yarn cleaners to improve as often as possible and an optimal setting can be achieved if certain requirements are met.
- the cleaning limit based on the recorded properties takes place automatically by the cleaning limit by automatic Calculation is determined.
- the cleaning limit once set is also automatically set on the thread cleaner so that it changes periodically or can continuously adapt to the type and frequency of yarn defects that occur. This can based on a standard or initial setting, or data from a previous one Production of the same item is done.
- the definition of the cleaning limit is that Result of a regulation, the measured values of properties of the yarn and various, important criteria for the course of the cleaning limit are taken into account and preferably processed according to rules of fuzzy logic. The criteria mentioned can be difficult be measurable or not in a clear mathematical context with the Cleaning limit.
- the said device essentially consists of a control loop with a fuzzy controller, an entry for values recorded on the yarn properties and from units for Entry of criteria for determining or influencing the cleaning limit.
- a control loop can also have multiple entries for values of several yarns and with several Yarn cleaners to be connected to output a common cleaning limit.
- the advantages achieved by the invention can be seen in the fact that different criteria can be considered for the design of the cleaning limit. These can refer to the yarn, e.g. the density of the yarn defects or the shape of the package, or they can affect the line on which yarn is produced or rewound such as the type of sensor (optical or capacitive). Further criteria can consider general quality considerations such as the fact that large yarn defects are more disturbing than small ones or that certain defects in one area affect the Disturb users particularly badly, etc. Likewise, cleaning limits can be reached Adjust the method used to measure gam errors. For example, so take into account the fact that the capacitive scanning of the chamois is very short Game errors no longer fully recorded, the optical scanning but also short yarn errors in full extent.
- the system can be left to its own devices, that is, without it special input, starting from a standard input, work or it can be optimized by appropriate entries according to all possible criteria work.
- the proposed modeling of the yarn defects based on the determined Yarn error values can be the amount of samples or yarn error values required for creation a representative relief of the yarn defect density and thus for setting a cleaning limit are necessary to be reduced.
- 1 shows a horizontal axis 1, along the values for a first dimension or one first parameters, here the length, of yarn defects are recorded.
- a vertical Axis 2 are related to deviations in diameter (or mass) for a yarn to an average diameter (or average mass) as a percentage of the average Diameter (or the average mass) as a second dimension or second parameter applied.
- Fields 3 in particular fields 3a, 3b, 3c, etc., the classes for yarn defects define how they are already described in CH 477 573 and general are known under the name USTER CLASSIMAT. In the plane or in the fields 3 yarn error measurements are indicated by crosses.
- the cross indicates 4 that the length of the yarn defect is about 8 cm and its thickness or mass is the middle Diameter or the average mass exceeds 400%.
- the cleaning limit is 5 piles or Clouds of crosses and thus yarn faults bypassed in such a way that they lie between axis 1 and the cleaning limit 5.
- Fig. 2 shows a block diagram of the method or the device for cleaning yarn.
- the device consists of a control circuit 6, which is preferably a fuzzy controller trained controller 7 and several processing units 8, 9 and 10 for individual process steps has, but which are just as well understood as part of the controller 7 can. Here they are for clearer presentation of individual functions or procedural steps listed individually.
- the processing unit 8 is actually a memory with several Storage locations, the parameters (length and diameter deviation) of a yarn defect save for a selectable thread length (e.g. 100km).
- the processing unit 8 with the Memory also has at least one input 11a, 11b for measured values and this is again connected to a yarn cleaner 32, 33. If the device for several Yarn cleaner works, several inputs 11 are provided accordingly.
- the processing unit 9 is used to prepare the individual measured values, as will be shown later and consists essentially of a processor or computer or a part of such.
- the processing unit 10 also consists of a memory with several Storage locations corresponding to fields 3a, 3b, 3c etc. (Fig. 1).
- the regulator 7, the out a processor or computer also has an output 12 for values of a cleaning limit and, if it is designed as a fuzzy controller, further inputs 13 for which Enter productivity criteria, 14 for general quality criteria, 15 for entering yarn-specific criteria, 16 for entering plant-specific criteria Criteria and 17 for entering additional or special quality criteria.
- the exit 12 is in turn connected to the processing unit 8, so that the values of the Cleaning limit, as indicated by field 30, there again for storage, for Create ad or output for other purposes.
- the output 12 is the Controller 7 is preferably also connected to the yarn cleaners 32, 33.
- a modeled yarn defect is a partial and simplified reconstruction of a yarn defect from a single measurement. For example, it is modeled as a Gauss bell. Its maximum is provided at the point where the corresponding cross, for example cross 4 in Fig. 1, would be in the classification field.
- the volume under the bell is defined as 1.
- the partial surface 19 is here through an axis 20, along the radius or Diameter deviations are plotted and an axis 21, along which the lengths of the Errors are limited.
- the height or the volume is along an axis 22 of the yarn error is recorded.
- the values of the yarn defects are recorded with certain tolerances are determined by the system for the registration, e.g. uneven speed of the yarn. If the same thread defect were measured a second time, it could easily be different Result in values and are even collected differently in the classification field. On the other hand, decreased the meaning of the mentioned tolerances if a lot of yarn errors are measured can.
- FIG. 4 shows the sum of modeled yarn defects over a level according to level 3 in FIG. 1 shown as area 29. These modeled yarn defects are plotted on the same axes, as they are known from FIG. 3. In contrast to Fig. 3, there are many Partial areas 19 with the modeled yarn errors added together recorded so that the modeled measured values of the individual partial areas 19 are also correct can still influence each other by making smooth transitions between the Adjust marginal areas of the partial areas. Large error frequencies can be seen in particular in an area 23, lower error rates in an area 24 and none noteworthy frequencies in adjacent areas.
- Fig. 5 shows, plotted over the same known axes 20, 21 and 22, a surface 25 which indicates the degree of disturbance which a yarn defect causes. From this it can be seen, for example, that a yarn defect with a large length and a large deviation in mass or diameter means a large disturbance which can be quantified, for example, by values. For example, areas 26a, 26b, 26c, etc. are defined for increasingly troublesome yarn defects.
- the surface 25 is therefore part of a conical surface. However, any surface that represents the degree of disturbance in the user's interest can also be defined.
- the mode of operation of the invention is as follows: In a yarn cleaner 32, 33, yarn errors or their measured values are determined with the yarn sensor, which correspond, for example, to the diameter or the mass of the yarn.
- the diameter deviation and the length of a yarn defect are selected as parameters - they are related in a known manner to an average value for the diameter or the mass of the yarn per unit length and from this the relative deviation to the average Diameter or the average yarn mass calculated. Values for the length of such deviations which exceed a threshold value (for the mass or the diameter) are determined in the yarn cleaner in a likewise known manner from these measured values.
- Such measured values for the relative deviation and the length of the deviation are introduced into the control circuit 6 via the input 11.
- the grid is finely divided by a grid, the grid fields of which can comprise one or more partial areas 19, so that a modeled yarn defect is spread over one or more grid fields can extend.
- the grid can be resolved in 5% increments along axis 2 and in 1 mm increments along axis 1.
- the extent of the Gauss bell can also be varied and should expediently extend over several grid fields. The more the bell is stretched, the smaller its height so that the volume remains constant. The further away the yarn defect to be modeled is from the intersection of axes 1 and 2, the more the Gauss bell representing it should be stretched. In order to later calculate the density in a grid, the volumes of all Gauss bell parts located above the grid are added together.
- the density over the entire classification field is calculated in the same way, so that the density can be represented as area 29, as shown in FIG. 4.
- the purpose of these processes is to ensure that, when determining the local yarn defect density, individual discrete values do not appear, but rather an area is formed that allows a statement about the density of the yarn defects at every location in the classification field. This is particularly the case where only a few yarn defects are to be expected.
- an area 25 was loaded into the processing unit 10, as shown in Fig. 5, which is an illustration of the gard of the failure of yarn defects indicates.
- the controller 7 finds a comparison between the now available ones Values about the yarn defect density and given criteria instead. All of these operations in the processing units 9, 10 and in the computer 7 run on a purely computing level from, i.e. the illustrations shown in FIGS. 3 to 5 are only for a better explanation to understand.
- the allowable degree of disruption as caused by the Area 25 is expressed and the sum of modeled yarn defects or the yarn defect density as expressed by the area 29 (FIG. 4), it can be determined which yarn defects, which are shown in Fig. 4, are not permitted and which are not.
- controller 7 or preferably fuzzy controller, which is thus a known first Rule taken into account, which is roughly as follows: The larger the product of mass and the length of the yarn defect, the more troublesome the yarn defect.
- This rule will be expressed by the representation in FIG. 5.
- it could be a first Cleaning limit can be obtained by cutting the surface 25 with that surface which represents the sum of the modeled yarn defects in FIG. As for ongoing measurements on the yarn this sum also forms a continuously changing surface that Surface 25 but remains the same over time, the cutting line adjusts and thus the cleaning limit automatically to changed conditions and thus the controller 7 passes the output 12 the values of a cleaning limit. This can be periodic, ongoing or happen at the external instigation. A conventional one is sufficient for this controllers known from other applications 7. The course of a cleaning limit is in Fig. 4 designated 31.
- the cleaning limit is not optimized for all cases.
- additional criteria should be considered can be taken into account.
- productivity criteria for example, which are entered into controller 7 via input 13.
- Such a criterion is, for example the number of permitted cuts per km of yarn.
- General quality criteria can be entered via input 14 will. E.g. can be specified as a rule that areas with relatively high Yarn defect density in the classification field must be avoided by the cleaning limit.
- Soche areas can be identified by the fuzzy controller when it leaves the processing unit 10 receives an indication of the yarn defect density and this with a specification compares.
- Yarn-specific criteria e.g. to adapt the Cleaning can be specified to the yarn characteristics. As a criterion, for example a distance to the package is entered, which defines a zone around the package, in which errors are disregarded. System-specific can also be accessed via input 16 Criteria can be entered.
- the comparability of measured values from different (optical, capacitive) cleaning systems are promoted by as As a rule, it is specified that short capacitance errors are greater for capacitively determined measured values, however, long yarn defects are weighted more heavily for optically determined measured values.
- process-related systematic yarn defects are specially cleared or not to be cleaned.
- Other special quality criteria could be entered via input 17.
- could be special Thread error distributions are entered that indicate special events. If such a distribution has resulted from the measured values, what is in the fuzzy controller 7 an automatic compensation or an alarm could be carried out to be triggered. Taking these criteria into account, all as numerical values or as in Numbers converted approximate information entered is done by the fuzzy controller 7. This information changes the course of the cleaning limit 5 and optimized by converting these criteria into specifications for yarn defect density and by providing these specifications with the current and local yarn defect density values be compared. Optimized cleaning limits can be set automatically and then can be automatically adjusted and adjusted by automatically inserting them into the Thread cleaner loaded.
- the invention is based on a preferred example of properties of the yarn, i.e. the deviations in thickness or mass and their length has been set out, this can in the same sense for other properties such as the color, the structure (hairiness, Twist), periodic fluctuations in the diameter of the yarn. So could also for yarn defects such as foreign fibers, foreign substances, hairiness etc. cleaning limits be set and adjusted.
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- Engineering & Computer Science (AREA)
- Textile Engineering (AREA)
- Quality & Reliability (AREA)
- Filamentary Materials, Packages, And Safety Devices Therefor (AREA)
- Length Measuring Devices With Unspecified Measuring Means (AREA)
- Spinning Or Twisting Of Yarns (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
Description
In einem Garnreiniger 32, 33 werden mit dem Garnsensor Garnfehler oder deren Messwerte ermittelt, die beispielsweise dem Durchmesser oder der Masse des Garns entsprechen. Um diese Garnfehler gemäss vorgegebenen Parametern zu ordnen - hier sei die Durchmesserabweichung und die Länge eines Garnfehlers als Parameter gewählt - werden sie in bekannter Weise zu einem Mittelwert für den Durchmesser oder die Masse des Garns pro Längeneinheit in Beziehung gesetzt und daraus die relative Abweichung zum mittleren Durchmesser oder zur mittleren Garnmasse berechnet. In ebenso bekannter Weise werden im Garnreiniger aus diesen Messwerten Werte für die Länge solcher Abweichungen ermittelt, die einen Schwellwert (für die Masse oder den Durchmesser) überschreiten. Solche Messwerte für die relative Abweichung und die Länge der Abweichung werden über den Eingang 11 in den Regelkreis 6 eingeführt. Dort gelangen diese Werte zuerst in die Verarbeitungseinheit 8, wo sie gespeichert werden. In der Verarbeitungseinheit 8 sind somit für eine vorgegebene Garnlänge Garnfehlerwerte gespeichert, die ein ganzes Klassierfeld belegen können, wie dies die Fig. 1 mit den durch Kreuze 4 angegebenen Garnfehlern zeigt. Diese Vorgänge sind an sich bereits bekannt, da das Klassieren von Werten, die am Garn gemessen werden, längst Stand der Technik ist. Die eben beschriebenen Vorgänge können auch für Messwerte von mehreren Garnen aus mehreren Garnreinigern durchgeführt werden, die alle ihre Messwerte über die Eingänge 11 in die Verarbeitungseinheit 8 eingeben. Aus der Verarbeitungseinheit 8 werden die Inhalte der Speicher oder eben die Garnfehler in die Verarbeitungseinheit 9 eingelesen, wo die Garnfehler, wie in Fig. 3 gezeigt modelliert werden. Dazu wird vorausgehend das gesamte Klassierfeld, also die Gesamtheit der Felder 3a, 3b, 3c usw. gemäss Fig. 1, durch einen Raster fein unterteilt, dessen Rasterfelder eine oder mehrere Teilflächen 19 umfassen können, sodass sich ein modellierter Garnfehler über ein oder mehrere Rasterfelder erstrecken kann. Der Raster kann beispielsweise längs der Achse 2 in 5%-Schritte und längs der Achse 1 in 1mm-Schritte aufgelöst sein. Die Ausdehnung der Gauss-Glocke kann auch variiert werden und sollte sich sinnvollerweise über mehrere Rasterfelder erstrecken. Je mehr die Glocke gestreckt wird, umso kleiner wird ihre Höhe, damit das Volumen konstant bleibt. Je weiter weg sich der zu modellierende Garnfehler vom Schnittpunkt der Achsen 1 und 2 befindet, umso stärker sollte die ihn darstellende Gauss-Glocke gestreckt werden. Um später die Dichte in einem Rasterfeld zu berechnen, werden die Volumina aller sich über dem Rasterfeld befindlichen Gauss-Glockenteile zusammengezählt. Dann wird auch die Dichte über das ganze Klassierfeld in gleicher Weise berechnet, so dass sich die Dichte als Fläche 29, wie in der Fig. 4 gezeigt, darstellen lässt. Der Sinn dieser Vorgänge liegt darin, dafür zu sorgen, dass beim Ermittlen der lokalen Garnfehlerdichte nicht vereinzelte diskrete Werte auftreten, sondern eine Fläche gebildet wird, die an jedem Ort des Klassierfeldes eine Aussage über die Dichte der Garnfehler erlaubt. Dies insbesondere auch dort, wo nur wenige Garnfehler zu erwarten sind.
Claims (10)
- Verfahren zum Reinigen von Garn in welchem Eigenschaften des Garns erfasst und auszureinigende Garnfehler durch eine einstellbare Reinigungsgrenze (5) definiert werden, dadurch gekennzeichnet, dass die Reinigungsgrenze, ausgehend von den erfassten Eigenschaften selbsttätig festgelegt wird.
- Verfahren nach Anspruch 1, dadurch gekennzeichnet, dass die Reinigungsgrenze automatisch ein- und nachgestellt wird.
- Verfahren nach Anspruch 1, dadurch gekennzeichnet, dass das Festlegen der Reinigungsgrenze gemäss Regeln einer Fuzzy-Logik erfolgt.
- Verfahren nach Anspruch 1, dadurch gekennzeichnet, dass das Festlegen der Reinigungsgrenze unter Berücksichtigung von Kriterien erfolgt, die schwer messbar und nicht in einen eindeutigen mathematischen Zusammenhang mit der Reinigungsgrenze gebracht werden können.
- Verfahren nach Anspruch 1, dadurch gekennzeichnet, dass für die Festlegung, am Garn Messwerte für Garnfehler erfasst, gemäss gewählten Parametern geordnet und gemäss vorgegebenen Annahmen über Garnfehler modelliert werden und dass aus den modellierten Garnfehlern (18) eine Fläche (29) ermittelt wird, die die Dichte der Garnfehler über einem Klassierfeld darstellt.
- Verfahren nach Anspruch 5, dadurch gekennzeichnet, dass die Reinigungsgrenze durch Kriterien bestimmt wird, die aus der Verteilung der Dichte und Vorgaben über zulässige Störungen abgeleitet sind.
- Vorrichtung zur Durchführung des Verfahrens nach Anspruch 1, gekennzeichnet durch einen Regelkreis (6), mit einem Regler (7) und mit einem Eingang (11) für Werte am Garn erfasster Eigenschaften.
- Vorrichtung nach Anspruch 7, dadurch gekennzeichnet, dass der Regelkreis mehrere Eingänge (11) für Werte mehrerer Garne aufweist.
- Vorrichtung nach Anspruch 7, dadurch gekennzeichnet, dass diese über Eingänge (11) mit mehreren Garnreinigern (32, 33) zur Ausgabe einer gemeinsamen Reinigungsgrenze verbunden ist.
- Vorrichtung nach Anspruch 7, dadurch gekennzeichnet, dass der Regler als Fuzzy-Regler ausgebildet ist und dass dieser mit Einheiten (13, 14, 15, 16, 17) zur Eingabe von Kriterien zur Festlegung der Reinigungsgrenze versehen ist.
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
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CH93897 | 1997-04-23 | ||
CH938/97 | 1997-04-23 | ||
CH93897 | 1997-04-23 |
Publications (2)
Publication Number | Publication Date |
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EP0877108A1 true EP0877108A1 (de) | 1998-11-11 |
EP0877108B1 EP0877108B1 (de) | 2003-07-16 |
Family
ID=4198676
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP98106399A Expired - Lifetime EP0877108B1 (de) | 1997-04-23 | 1998-04-08 | Verfahren und Vorrichtung zum Reinigen von Garnen |
Country Status (5)
Country | Link |
---|---|
US (1) | US6374152B1 (de) |
EP (1) | EP0877108B1 (de) |
JP (1) | JP4117583B2 (de) |
CN (1) | CN1154758C (de) |
DE (1) | DE59809009D1 (de) |
Cited By (10)
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WO2000073189A1 (de) * | 1999-05-29 | 2000-12-07 | Zellweger Luwa Ag | Verfahren und vorrichtung zum reinigen von garn |
DE10129201A1 (de) * | 2001-06-18 | 2002-12-19 | Rieter Ingolstadt Spinnerei | Eigenoptimierung für fadenführende Maschinen |
EP1295835A2 (de) * | 2001-08-28 | 2003-03-26 | Rieter Ingolstadt Spinnereimaschinenbau AG | Verfahren zum Einstellen einer Reinigungsgrenze bei einem elektronischen Garnreiniger |
WO2005047155A1 (de) * | 2003-11-10 | 2005-05-26 | Saurer Gmbh & Co. Kg | Garnreiniger |
DE102004013776A1 (de) * | 2004-03-20 | 2005-10-06 | Rieter Ingolstadt Spinnereimaschinenbau Ag | Verfahren und Vorrichtung zur Ausreinigung von Garnfehlern |
DE102007028651A1 (de) * | 2007-06-21 | 2008-12-24 | Oerlikon Textile Gmbh & Co. Kg | Verfahren zur Visualisierung der Häufigkeitsverteilung von Garnfehlern |
DE102008017258A1 (de) | 2008-04-04 | 2009-10-08 | Oerlikon Textile Gmbh & Co. Kg | Verfahren und Vorrichtung zur optischen Detektion von Fremdfasern in einem längs bewegtem Faserstrang |
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WO2013143873A1 (de) * | 2012-03-26 | 2013-10-03 | Maschinenfabrik Rieter Ag | Verfahren zur garnüberwachung |
CN107059180A (zh) * | 2015-11-03 | 2017-08-18 | 里特捷克有限公司 | 调节工作台和在纱线制造纺织机上的清纱器(纱线质量传感器)的方法 |
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CH699219A1 (de) * | 2008-07-25 | 2010-01-29 | Uster Technologies Ag | Verfahren und Vorrichtung zur Garnreinigung. |
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CH701957A8 (de) * | 2009-10-02 | 2011-11-15 | Uster Technologies Ag | Verfahren zum Festlegen einer Reinigungsgrenze auf einer Garnreinigungsanlage. |
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JP2013227155A (ja) * | 2012-03-28 | 2013-11-07 | Murata Machinery Ltd | 糸欠陥分類装置及び糸巻取機 |
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JP2015525347A (ja) | 2012-06-11 | 2015-09-03 | ウステル・テヒノロジーズ・アクチエンゲゼルシヤフト | 長繊維の試験材の品質の比較 |
WO2013185248A1 (de) | 2012-06-11 | 2013-12-19 | Uster Technologies Ag | Vergleich der qualitäten von länglichen textilen prüfgütern |
WO2014107817A1 (de) | 2013-01-09 | 2014-07-17 | Uster Technologies Ag | Ermittlung von fehlerursachen in einem produktionsprozess eines länglichen textilen gebildes |
WO2017190259A1 (en) | 2016-05-04 | 2017-11-09 | Uster Technologies Ag | Monitoring contamination in a stream of fiber flocks |
CZ2016607A3 (cs) * | 2016-09-29 | 2018-05-02 | Rieter Cz S.R.O. | Způsob sledování příze na pracovním místě textilního stroje a textilní stroj k jeho provádění |
JP2019137537A (ja) * | 2018-02-14 | 2019-08-22 | 村田機械株式会社 | クリアリングリミット設定装置及び糸巻取機 |
EP3918119B1 (de) * | 2019-01-31 | 2023-06-28 | Uster Technologies AG | Optimierung eines spinnprozesses bezüglich fremdmaterialien. |
DE102019116475A1 (de) | 2019-06-18 | 2020-12-24 | Saurer Spinning Solutions Gmbh & Co. Kg | Optimierung des Betriebes einer Spinnmaschine |
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CH683350A5 (de) * | 1991-09-11 | 1994-02-28 | Peyer Ag Siegfried | Verfahren und Vorrichtung zum Klassifizieren und Reinigen von Garnen. |
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- 1998-04-08 DE DE59809009T patent/DE59809009D1/de not_active Expired - Lifetime
- 1998-04-10 JP JP13584298A patent/JP4117583B2/ja not_active Expired - Fee Related
- 1998-04-23 CN CNB98107961XA patent/CN1154758C/zh not_active Expired - Lifetime
- 1998-04-23 US US09/064,718 patent/US6374152B1/en not_active Expired - Fee Related
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Cited By (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6922604B2 (en) | 1999-05-29 | 2005-07-26 | Uster Technologies Ag | Process and device for adjusting clearing limits |
WO2000073189A1 (de) * | 1999-05-29 | 2000-12-07 | Zellweger Luwa Ag | Verfahren und vorrichtung zum reinigen von garn |
DE10129201A1 (de) * | 2001-06-18 | 2002-12-19 | Rieter Ingolstadt Spinnerei | Eigenoptimierung für fadenführende Maschinen |
EP1295835A2 (de) * | 2001-08-28 | 2003-03-26 | Rieter Ingolstadt Spinnereimaschinenbau AG | Verfahren zum Einstellen einer Reinigungsgrenze bei einem elektronischen Garnreiniger |
EP1295835A3 (de) * | 2001-08-28 | 2003-08-27 | Rieter Ingolstadt Spinnereimaschinenbau AG | Verfahren zum Einstellen einer Reinigungsgrenze bei einem elektronischen Garnreiniger |
WO2005047155A1 (de) * | 2003-11-10 | 2005-05-26 | Saurer Gmbh & Co. Kg | Garnreiniger |
US7424800B2 (en) | 2003-11-10 | 2008-09-16 | Oerlikon Textile Gmbh & Co. Kg | Yarn cleaner |
CN1670277B (zh) * | 2004-03-20 | 2010-08-25 | 吕特英格纺织机械制造股份公司 | 清除纱线瑕疵的方法和装置 |
DE102004013776A1 (de) * | 2004-03-20 | 2005-10-06 | Rieter Ingolstadt Spinnereimaschinenbau Ag | Verfahren und Vorrichtung zur Ausreinigung von Garnfehlern |
DE102004013776B4 (de) * | 2004-03-20 | 2017-07-27 | Rieter Ingolstadt Gmbh | Verfahren und Vorrichtung zur Ausreinigung von Garnfehlern |
DE102007028651A1 (de) * | 2007-06-21 | 2008-12-24 | Oerlikon Textile Gmbh & Co. Kg | Verfahren zur Visualisierung der Häufigkeitsverteilung von Garnfehlern |
DE102008017258A1 (de) | 2008-04-04 | 2009-10-08 | Oerlikon Textile Gmbh & Co. Kg | Verfahren und Vorrichtung zur optischen Detektion von Fremdfasern in einem längs bewegtem Faserstrang |
BE1018992A3 (de) * | 2008-08-14 | 2011-12-06 | Oerlikon Textile Gmbh & Co Kg | Verfahren zur qualitatsuberwachung eines langsbewegten garnes an einer arbeitsstelle einer kreuzspullen herstellenden textilmaschine. |
DE102008037758B4 (de) | 2008-08-14 | 2019-09-19 | Saurer Spinning Solutions Gmbh & Co. Kg | Verfahren zur Qualitätsüberwachung eines längsbewegten Garnes an einer Arbeitsstelle einer Kreuzspulen herstellenden Textilmaschine |
WO2013143873A1 (de) * | 2012-03-26 | 2013-10-03 | Maschinenfabrik Rieter Ag | Verfahren zur garnüberwachung |
CN107059180A (zh) * | 2015-11-03 | 2017-08-18 | 里特捷克有限公司 | 调节工作台和在纱线制造纺织机上的清纱器(纱线质量传感器)的方法 |
CN107059180B (zh) * | 2015-11-03 | 2021-02-26 | 里特捷克有限公司 | 调节工作台和在纱线制造纺织机上的清纱器的方法 |
Also Published As
Publication number | Publication date |
---|---|
CN1198486A (zh) | 1998-11-11 |
JP4117583B2 (ja) | 2008-07-16 |
US6374152B1 (en) | 2002-04-16 |
CN1154758C (zh) | 2004-06-23 |
JPH10298836A (ja) | 1998-11-10 |
EP0877108B1 (de) | 2003-07-16 |
DE59809009D1 (de) | 2003-08-21 |
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