Quality prediction control system of splicing part of spinning yarn and spinning machine

Abstract

The utility model relates to a quality prediction control system of a splicing part of a textile yarn and a textile machine. The quality prediction control system comprises a detection device for detecting geometrical characteristics of the splicing part of a thread of the textile yarn and / or an acquisition device for acquiring splicing process parameters of the thread of the textile yarn; the database comprises a splicing part qualitative category; and a control unit connected to the detection device and / or the acquisition device and connected to the database and configured to associate the geometric features and / or the process parameters with the splicing part qualitative categories included in the database so as to perform classification operation on the splicing parts among the splicing part qualitative categories existing in the database, associating the splice with a value of at least one qualitative parameter for comparison with a corresponding value selected as a qualitative reference; the splice is cut or not cut on the basis of a comparison between a value of at least one qualitative parameter of the splice qualitative category and a corresponding value set as a qualitative reference for the splice. The quality prediction control system improves the reliability of the yarn.

Description

Technical Field

[0001] The utility model relates to a quality prediction control system and method for a textile twisting part, and a related textile machine. Background Art

[0002] As is known, the processing of the yarn on a winding machine is interrupted whenever the yarn breaks unexpectedly or is cut due to a detected defect.

[0003] For example, in a winding machine, the yarn unwound from the bobbin is checked in real time by means of a clearer with appropriate sensors (for example optical or capacitive type sensors) to instantly check whether the defects of the yarn are acceptable.

[0004] When the irregular characteristics exceed the preset acceptable range, the yarn is cut and the splicing cycle is started, which includes recovering the two threads produced by cutting the yarn and inserting them into the yarn splicing device to repair the continuity of the yarn. At this time, the splice is analyzed by the yarn clearer, and if the splice falls within the allowed tolerance threshold, the winding is restarted regularly.

[0005] In subsequent steps of the textile process, such as dyeing, warping, weaving and knitting, quality control of the splice is one of the most important aspects to be considered to ensure high reliability performance (e.g., retention, but not only retention) of the yarn.

[0006] For this reason, the splice, which is essentially a unique characteristic of the yarn, must be carefully analyzed to prevent the formation of defects and / or subsequent production inefficiencies.

[0007] In this respect, the known art does not provide a truly standardized procedure for evaluating the quality of a splice in a working state. Typically, in an initial setting step of a splicer, a certain number of splices with different possible configurations that the device can adopt are formed, and once the form of the splice that best suits the needs of a particular process is determined, a number of tests are carried out to enable the reproduction of the main performance parameters of the splice (such as strength and elasticity at break). If these splices are acceptable, no further inspection is performed, mainly because splicing is considered to be a process that is stable over time, and therefore the number of splices that do not fall within the expected quality limits is statistically very low.

[0008] From now on, the splice is controlled exclusively by means of a yarn clearer, which analyses the splice as a defect only if it is too large or too thin relative to the limits set as acceptable form.

[0009] This method is certainly a simple and inexpensive solution, but in reality it does not absolutely guarantee that the splice will not break, for example in a subsequent step of the textile process; on the contrary, the number of yarns used simultaneously on the frame or in knitting makes the probability of breakage exceed a certain level, causing problems in terms of machine downtime and fabric defects.

[0010] Similarly, it may happen that a splice considered acceptable by the yarn clearer may absorb the dyeing color unevenly, thereby compromising the color uniformity of the garment produced.

[0011] That is, in the known art, the quality control of the splice is controlled only by the yarn clearer without any correlation with the characteristic parameters defining the quality of the splice.

[0012] It can therefore happen that the yarn clearer cuts a splice that is geometrically deformed but has excellent strength properties, and that the yarn clearer passes a splice that is aesthetically acceptable but inferior in terms of quality and mechanical strength.

[0013] This results in suboptimal control of the splice quality, leading to production inefficiencies, machine downtime and defects in the finished product. Utility Model Content

[0014] Therefore, there is felt a need to address the shortcomings and limitations mentioned with reference to the prior art.

[0015] The utility model provides a quality prediction control system for the twisted part of a textile yarn, comprising: a detection device for detecting the geometric features of the twisted part of the textile yarn and / or an acquisition device for acquiring the twisted process parameters of the textile yarn; a database, including at least one qualitative category of the twisted part; a control unit, operatively connected to the detection device and / or the acquisition device and the control unit is operatively connected to the database, the control unit being configured to: associate the detected geometric features and / or the acquired process parameters with at least one qualitative category of the twisted part included in the database, so as to classify the twisted part among the qualitative categories of the twisted part existing in the database, so that the twisted part is associated with the value of at least one qualitative parameter for comparison with a corresponding value selected as a qualitative reference; based on the comparison between the value of at least one qualitative parameter of the qualitative category of the twisted part and the corresponding value set as the qualitative reference for the twisted part, cut or not cut the twisted part.

[0016] Preferably, at least one qualitative parameter of the qualitative category of the splice comprises the breaking load of the textile yarn and / or the breaking strength of the textile yarn and / or the percentage elongation at break of the textile yarn and / or the ability to absorb a dyed color.

[0017] Preferably, the geometrical feature of the splice comprises at least one characteristic dimension of the splice and / or the shape of the splice itself.

[0018] Preferably, the at least one characteristic dimension of the splice comprises the thickness of the splice at at least one point of the splice, the thickness being measured at the splice perpendicularly to the main axis of extension of the textile yarn.

[0019] Preferably, the thickness of the splice is taken at constant intervals along the main axis of extension of the textile yarn.

[0020] Preferably, the spacing is comprised in the range between 0.1 mm and 2 mm.

[0021] Preferably, the detection device for detecting the geometrical features of the splice detects the geometrical features of the splice along at least one direction which is substantially perpendicular to the main extension axis of the textile yarn and intersects the main extension axis of the textile yarn.

[0022] Preferably, the detection device for detecting the geometrical features of the splice acquires the geometrical features of the splice along three different directions substantially perpendicular to the main extension axis of the textile yarn and intersecting the main extension axis of the textile yarn.

[0023] Preferably, the three directions are angularly offset by 120° from one another in the circumferential direction relative to the main axis of extension.

[0024] Preferably, the detection means for detecting geometrical characteristics of the splice comprises a capacitive device.

[0025] Preferably, the detection device for detecting the geometrical characteristics of the splice comprises an ultrasonic device.

[0026] Preferably, the detection device for detecting the geometrical characteristics of the splice comprises a millimeter wave device.

[0027] Preferably, the detection device for detecting the geometrical characteristics of the splice comprises an optical acquisition device of the geometrical characteristics of the splice.

[0028] Preferably, the optical acquisition device for acquiring the geometrical features of the splice comprises at least one vision system and / or at least one camera.

[0029] Preferably, the optical acquisition device for acquiring geometrical features of the splice is configured to take more than one image of the splice.

[0030] Preferably, the process parameters acquired by the acquisition device include the ambient temperature and / or relative humidity of the surrounding environment and / or the type of textile yarn and / or the thickness of the textile yarn and / or the number of operations of the splicer and / or the type of splicing chamber of the splicer and / or the pneumatic feed pressure of the splicer and / or the type of preparation equipment for the textile yarn to be spliced.

[0031] Preferably, the database is available on a cloud platform.

[0032] Preferably, the utility model provides a textile machine, comprising the above-mentioned quality prediction control system.

[0033] Preferably, the textile machine is a winding machine or an air-jet spinning machine.

[0034] Preferably, the textile machine comprises cutting means, the cutting means being operatively connected to the control unit.

[0035] The utility model provides a quality prediction and control method for a textile twisted part, comprising the following steps: - arranging a detection device for detecting the geometric features of a twisted part of a textile yarn line formed by a twister, and / or arranging an acquisition device for acquiring the twisting process parameters of the textile yarn line, - arranging a database, the database including at least one qualitative category of the twisted part; - arranging a control unit, the control unit is operatively connected to the detection device and / or the acquisition device, and the control unit is operatively connected to the database, the control unit is configured to: associate the detected geometric features and / or the acquired process parameters with at least one qualitative category of the twisted part included in the database, so as to classify the twisted part among the qualitative categories of the twisted part existing in the database, so that the twisted part is associated with the value of at least one qualitative parameter to be compared with a corresponding value selected as a qualitative reference, and based on the comparison between the value of at least one qualitative parameter of the qualitative category of the twisted part and the corresponding value set as the qualitative reference for the twisted part, cutting of the twisted part is performed or not performed.

[0036] Preferably, the quality prediction control method comprises the following steps: arranging the above-mentioned quality prediction control system.

[0037] Preferably, the detection device detects the splice in a static manner when the textile yarn is stopped.

[0038] Preferably, the detection device detects the splice in a dynamic manner while the textile yarn is moving.

[0039] Preferably, the quality prediction control method comprises the following steps: - making a database available on a cloud platform; - continuously updating the database using laboratory tests on samples of textile yarns in order to more accurately map the areas of critical splices to be discarded.

[0040] The quality prediction control system of the utility model improves the reliability of the yarn. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Other features and advantages of the present invention will be more clearly understood from the description of preferred and non-limiting embodiments of the present invention given below, in the accompanying drawings:

[0042] Figure 1 The schematic diagram of the quality prediction control system of the splicing part of the textile yarn according to the embodiment of the present invention is depicted by using the relevant flow chart.

[0043] Figure 2 Depicted Figure 1 an enlarged view of detail II indicated in;

[0044] Figure 3 pass Figure 2 The arrow III indicated in FIG. 1 depicts a side view of detail II in the lateral direction.

[0045] Elements or parts of elements common to the embodiments described below will be denoted by the same reference numerals. DETAILED DESCRIPTION

[0046] With reference to the aforementioned figures, reference numeral 4 generally indicates a quality prediction control system for a splice of a textile yarn 8 .

[0047] It should be noted that the term "thread" or "single thread" or "continuous thread" refers to a single filament or continuous filament (such as silk thread, artificial fiber or synthetic fiber), while the term "yarn" refers to a group of parallel and different lengths of original fibers bound together by twisting. In the following, one or the other term will be used indiscriminately, and it should be understood that the application of the utility model is not limited to one or the other type.

[0048] The quality prediction control system 4 of the splice 12 of the textile yarn 8 comprises a detection device 16 for detecting geometrical features of the splice 12 of the textile yarn 8 to be analyzed and / or an acquisition device 18 for acquiring process parameters.

[0049] According to a possible embodiment, the detection device 16 for detecting geometrical features of the splice 12 comprises a capacitive device.

[0050] According to a possible embodiment, the detection device 16 for detecting geometrical features of the splice 12 comprises an optical device.

[0051] According to a possible embodiment, the detection device 16 for detecting geometrical features of the splice 12 comprises an ultrasonic device.

[0052] According to a possible embodiment, the detection device 16 for detecting geometrical features of the splice 12 comprises a millimeter wave device.

[0053] Obviously, embodiments including a capacitive device and / or an optical device and / or an ultrasonic device and / or a millimeter wave device may be combined into a detection device 16 for detecting geometric features of the splice 12 .

[0054] According to a particularly advantageous embodiment, the detection device 16 comprises at least one visual system and / or at least one camera. Thus, by means of the detected image of the splice, its characteristics can be completely and accurately characterized from the perspective of geometry and / or shape.

[0055] For example, the geometrical features of the splice 12 may include at least one characteristic dimension of the splice 12 and / or the shape of the splice 12 itself.

[0056] According to a possible embodiment, the detection device 16 is configured to take more than one image of the same splice 12, so that a very faithful three-dimensional scan of the splice area can be obtained.

[0057] For example, the detection device 16 can perform the recognition of the splice 12 in a static manner, ie when the thread 8 is stopped.

[0058] Alternatively, the detection device 16 can perform the identification of the splice 12 in a dynamic manner, ie when the thread 8 is moving. In particular, this dynamic acquisition method is particularly advantageous because it allows the acquisition of the splice 12 to be performed without loss of productivity.

[0059] According to a possible embodiment, at least one characteristic dimension of the splice 12 comprises a thickness 24 of the splice 12 at at least one point of the splice 12 , the thickness 24 being measured perpendicularly to the main extension axis XX of the textile yarn 8 at the splice 12 .

[0060] According to a possible embodiment, the thickness 24 of the splice 12 is achieved at a constant pitch P along the main extension axis XX of the textile yarn 8 .

[0061] According to a possible embodiment, the pitch P is comprised within the range between 0.1 mm and 2 mm.

[0062] According to a possible embodiment, by means of a detection device 16 for detecting geometrical features of the splice 12, the detection device 16 detects the geometrical features of the splice 12 in at least one direction θ substantially perpendicular to the main extension axis XX of the textile yarn 8 and intersecting the main extension axis of the textile yarn. i The geometrical characteristics of the spliced ​​portion 12 are acquired.

[0063] According to a possible embodiment, by means of a detection device 16 for detecting geometrical features of the splice 12, the detection device 16 detects the geometrical features of the splice 12 along three different directions θ substantially perpendicular to the main extension axis XX of the textile yarn 8 and intersecting the main extension axis of the textile yarn. 1 ,θ 2,θ 3 The geometrical characteristics of the spliced ​​portion 12 are acquired.

[0064] Preferably, the three directions θ 1 ,θ 2 ,θ 3 In the circumferential direction, they are angularly offset by 120° relative to the main extension axis XX. Thus, the splice 12 can be characterized more completely from a three-dimensional perspective without having to resort to a large number of identification directions.

[0065] As mentioned above, the quality prediction control system 4 of the splice 12 of the textile yarn 8 may include an acquisition device 18 for acquiring process parameters.

[0066] According to a possible embodiment, the process parameters include the ambient temperature and / or the relative humidity of the surrounding environment and / or the type of textile yarn and / or the thickness of the textile yarn (yarn titre) and / or the number of operations of the splicer and / or the type of splicing chamber and / or the pneumatic supply pressure of the splicer and / or the type of preparation equipment for the threads of textile yarn to be spliced.

[0067] According to a possible embodiment, the quality prediction control system 4 comprises at least one database 20, which comprises at least one qualitative splice class 22, i.e. at least one "type" of splice characterized and inferred in the laboratory by a large number of tests on splice samples.

[0068] For example, at least one qualitative category 22 of the splice comprises a category of geometrical features and / or a category of process parameters and / or a category of at least one qualitative parameter.

[0069] For example, at least one qualitative parameter of a category comprises breaking load and / or breaking strength and / or percentage elongation at break and / or ability to absorb dyed color.

[0070] The quality prediction control system 4 also includes a control unit 28, which is operatively connected to the detection device 16 and / or the acquisition device 18 and operatively connected to the database 20, and the control unit is configured to associate the detected geometric features and / or the acquired process parameters with at least one qualitative category included in the database 20, and is configured to perform or not cut the splice 12 based on a comparison between the value of at least one qualitative parameter of the qualitative category and a corresponding input value set by a user as a quality reference for the splice 12.

[0071] That is, based on the detected geometric features of the twisted portion 12 and / or the acquired process parameters, the control unit 28 classifies the twisted portion 12 among the twisted portion qualitative categories 22 existing in the database 20, thereby associating the twisted portion with at least one qualitative parameter for comparison with the corresponding set value selected as the quality threshold.

[0072] For example, in the case where the qualitative parameter is the breaking load, the control unit 28 can command the cutting of the splice 12 if the breaking load adopted by the splice qualitative category 22 associated with the geometrical features and / or specific process parameters of the splice 12 is less than a predetermined limit. In this case, the control unit 28 commands a preventive cutting to ensure the required quality standard of the splice 12 and thus eliminate the statistical risk that the splice may break during the subsequent processing of the textile yarn 8.

[0073] Obviously, this comparison is not intended to be limiting, and reference may be made to any parameter chosen as an indicator of the quality of the splice 12 , and in particular more than one parameter may be compared, in order to facilitate versatility as required by the user.

[0074] According to a particular embodiment, the qualitative optimization is performed with respect to the geometrical characteristics of the splice 12. The quality prediction control system 4 thus operates in a manner de facto equivalent to a yarn clearer, but with a wider versatility, since the user can decide in any case to optimize the quality of the splice 12 according to customizable parameter filters.

[0075] Advantageously, the database 20 is provided on a cloud platform. Thus, the database 20 is continuously updated so as to more accurately map the qualitative categories of the splices and allow a continuous updating of the comparison algorithm.

[0076] The quality prediction control system 4 is generally applied to a textile machine (not shown), such as a winding machine or an air-jet spinning machine.

[0077] In fact, the aforementioned problems regarding ensuring high reliability of the yarn in subsequent process steps such as weaving, knitting and / or dyeing also occur during the rewinding of the spooled yarn in drums and / or during the production steps thereof.

[0078] The textile machine comprises a cutting device 32 operatively connected to a control unit 28 which, as seen, controls the operation of the cutting device based on the comparison and classification of at least one qualitative parameter.

[0079] It can be understood from the description that the utility model can overcome the shortcomings mentioned in the prior art.

[0080] In particular, the present invention addresses the shortcomings of the prior art because it allows prediction of whether a splice has unacceptable quality characteristics based on a combination of shape / size and process parameters, and cutting and repeating the splice if it has unacceptable quality characteristics.

[0081] This significantly increases the reliability of the yarn in the subsequent steps of the textile process.

[0082] Furthermore, compared to known yarn clearers that are specifically configured to remove aesthetic defects, the present invention allows cutting with a statistically high degree of confidence of splices that are within tolerable formal limits but have quality standards (e.g. in terms of mechanical strength (or even other properties)) that are unacceptable in subsequent steps of the textile process (such as dyeing, warping, weaving and knitting).

[0083] Those skilled in the art may make various modifications and variations to the above solutions in order to meet accidental and specific requirements.

[0084] The protection scope of the present utility model is defined by the appended claims.

Claims

1. A quality prediction control system for a twisted portion of a textile yarn, characterized in that: The quality prediction control system comprises: - a detection device (16) for detecting geometrical features of the splicing portion (12) of the thread of the textile yarn (8) and / or an acquisition device (18) for acquiring process parameters of the splicing of the thread of the textile yarn (8), - a database (20) comprising at least one qualitative category (22) of splices; - a control unit (28), operatively connected to the detection device (16) and / or the acquisition device (18), and operatively connected to the database (20), the control unit being configured to: - associating the detected geometrical features and / or the acquired process parameters with at least one of the splice qualitative categories (22) included in the database (20) in order to classify the splice (12) among the splice qualitative categories (22) present in the database (20), so that the splice (12) is associated with the value of at least one qualitative parameter for comparison with a corresponding value selected as a qualitative reference, - Cutting or not cutting the splice (12) based on a comparison between the value of the at least one qualitative parameter of the splice qualitative category (22) and the corresponding value set as a qualitative reference for the splice (12).

2. The quality prediction control system for the spliced ​​portion of a textile yarn according to claim 1, characterized in that: The at least one qualitative parameter of the qualitative category (22) of the twist joint includes the breaking load of the textile yarn (8) and / or the breaking strength of the textile yarn (8) and / or the percentage elongation at break of the textile yarn (8) and / or the ability to absorb dyeing color.

3. The quality prediction control system of the spliced ​​portion of the textile yarn according to claim 1 or 2, characterized in that: The geometrical characteristics of the splice (12) include at least one characteristic dimension of the splice (12) and / or the shape of the splice (12) itself.

4. The quality prediction control system for the spliced ​​portion of a textile yarn according to claim 3, characterized in that: At least one characteristic dimension of the splice (12) comprises a thickness (24, S1, S2, S3) of the splice (12) at at least one point of the splice (12), wherein the thickness (24, S1, S2, S3) is measured at the splice (12) perpendicular to the main extension axis (XX) of the textile yarn (8).

5. The quality prediction control system for the spliced ​​portion of a textile yarn according to claim 4, characterized in that: The thicknesses (S1, S2, S3) of the splice (12) are obtained at constant spacings (P) along the main extension axis (XX) of the textile yarn (8).

6. The quality prediction control system for the spliced ​​portion of a textile yarn according to claim 5, characterized in that: The pitch (P) is comprised in the range between 0.1 mm and 2 mm.

7. The quality prediction control system for the spliced ​​portion of a textile yarn according to claim 1, characterized in that: The detection device (16) for detecting the geometrical characteristics of the splice (12) is used to detect the geometrical characteristics of the splice (12) in at least one direction (θ) substantially perpendicular to the main extension axis (XX) of the textile yarn (8) and intersecting the main extension axis (XX) of the textile yarn (8). i ) obtains the geometrical characteristics of the twisted portion (12).

8. The quality prediction control system for the spliced ​​portion of a textile yarn according to claim 1, characterized in that: The detection device (16) for detecting the geometrical features of the spliced ​​portion (12) is used to obtain the geometrical features of the spliced ​​portion (12) along three different directions (θ1, θ2, θ3) that are substantially perpendicular to the main extension axis (XX) of the textile yarn (8) and intersecting with the main extension axis (XX) of the textile yarn (8).

9. The quality prediction control system for the spliced ​​portion of a textile yarn according to claim 8, characterized in that: The three directions (θ1 , θ2 , θ3 ) are angularly offset from one another by 120° in the circumferential direction relative to the main extension axis (XX).

10. The quality prediction control system for the spliced ​​portion of a textile yarn according to claim 1, characterized in that: The detection device (16) for detecting geometrical characteristics of the splice (12) comprises a capacitive device.

11. The quality prediction control system for the spliced ​​portion of a textile yarn according to claim 1, characterized in that: The detection device (16) for detecting the geometrical characteristics of the splice (12) comprises an ultrasonic device.

12. The quality prediction control system for the spliced ​​portion of a textile yarn according to claim 1, characterized in that: The detection device (16) for detecting the geometrical characteristics of the splice (12) comprises a millimeter wave device.

13. The quality prediction control system for the spliced ​​portion of a textile yarn according to claim 1, characterized in that: The detection device (16) for detecting the geometrical characteristics of the splice (12) comprises an optical acquisition device for the geometrical characteristics of the splice (12).

14. The quality prediction control system for the spliced ​​portion of a textile yarn according to claim 13, characterized in that: The optical acquisition device for acquiring the geometrical features of the splice (12) comprises at least one visual system and / or at least one camera.

15. The quality prediction control system for the spliced ​​portion of a textile yarn according to claim 13, characterized in that: The optical acquisition device for acquiring geometrical features of the splice (12) is configured to take more than one image of the splice (12).

16. The quality prediction and control system for the spliced ​​portion of a textile yarn according to claim 1, characterized in that: The process parameters acquired by the acquisition device (18) include the ambient temperature and / or relative humidity of the surrounding environment and / or the type of the textile yarn (8) and / or the thickness of the textile yarn (8) and / or the number of operations of the splicer and / or the type of splicing chamber of the splicer and / or the pneumatic feed pressure of the splicer and / or the type of preparation equipment for the thread of the textile yarn to be spliced.

17. The quality prediction and control system for the spliced ​​portion of a textile yarn according to claim 1, characterized in that: The database (20) can be obtained on a cloud platform.

18. A textile machine, characterized in that: The textile machine comprises a quality prediction control system (4) according to any one of claims 1 to 17.

19. The textile machine according to claim 18, characterized in that The textile machine is a winding machine or an air-jet spinning machine.

20. A textile machine according to claim 18 or 19, characterised in that The textile machine comprises a cutting device (32) which is operatively connected to the control unit (28).

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