DESC:TITLE OF THE INVENTION: A Method of Comparing the Distribution of Event Properties of at least two Effect Yarns

FIELD OF THE INVENTION
[0001] The present invention relates to the method of comparing the distribution of event properties between two or more effect yarns.

CROSS-REFERENCE TO RELATED APPLICATION
[0002] The present application claims priority from the Provisional Application No. 201641040384 filed on 25th Nov 2016, the full disclosure of which is hereby incorporated by reference herein.

BACKGROUND OF THE INVENTION
[0003] Effect yarns are special yarns manufactured with intentionally created faults for creating fancy effects. Fabrics made out of such effect yarns appear fancy due to the faults intentionally created during the yarn manufacturing process. Such faults are generally called as slubs or events.

[0004] Effect yarns are generally tested in evenness testers for measuring its properties. Evenness testers provide various properties of effect yarns like number of events per unit length, event length, event distance, event mass increase and decrease etc. Any kind of effect yarn can be tested in evenness tester to understand its properties.

[0005] In some cases, situation arises where user need to compare two results of effect yarns tested by evenness tester. For example, if there are two ring frames producing same kind of effect yarn, the results of both the effect yarns can be tested in an evenness tester for comparison. As another example, if the spinning mill receives a sample effect yarn which need to be produced and once after the production of actual effect yarn by the spinning mill, the sample effect yarn and actual effect yarn are tested in the same evenness tester to compare the distribution of events so as to confirm that the yarn specifications are met.

[0006] WO2007056883A2 provides a method for characterizing effect yarn, according to which at least one characteristic of said yarn is scanned in the longitudinal direction of the yarn. The scanned values are evaluated and the results of said evaluation are outputted. Results of the evaluation include effect yarn parameters such as link mass, link diameter, link length, mass increase (?M) of an effect portion, diameter increase of an effect portion, effect portion diameter, effect portion length (LE) and/or total mass of an effect portion. At least one evaluated result is output in the form of a graphical representation, e.g. as a scatter plot. This prior art explains about evaluation of an effect yarn with output as a graphical representation and it does not explain about comparing two such effect yarns.

[0007] WO2013185246A1 provides a method for comparing the quality of elongate textile samples, values of at least one parameter of a first sample is determined. Densities of events in a field of events are determined from the values of the parameter of the first sample and from the spread of said values in the longitudinal direction. A first density line that essentially follows a constant density of the events determined on the first sample is displayed in the field of events. A reference density line which follows the same event density as the first density line but relates at least in part to a reference sample that is different from the first sample is displayed in addition to the first density line, thus allowing the shapes of the first density line and the reference density line to be compared. The comparison between the shapes of the density lines allows the quality of the first sample and the reference sample to be compared. This prior art explains about comparing the quality of elongated textile samples with two different density lines based on shapes. This does not describes about comparing the events and its distribution of effect yarns.

[0008] Hence there is a need in the art to develop a method for comparing the distribution of events of two or more effect yarns. The present invention satisfies these needs, as well as others, and generally overcomes the deficiencies found in the background art.

OBJECTS OF THE INVENTION
[0009] The main object of the present invention is to provide a method for comparing the distribution of events or effects of two or more effect yarns and this is done by testing the effect yarns in the evenness tester and the results are compared numerically and graphically.

[0010] Other objects of the invention will be apparent from the description of the invention herein below.

SUMMARY OF THE INVENTION

[0011] Accordingly, the present invention relates to a method of comparing the distribution of event properties of at least two effect yarns characterized by wherein the said method comprises:
i. testing the effect yarns in the evenness tester;
ii. measuring the various properties of the effect yarns;
iii. storing the output results;
iv. constructing the frequency distribution diagrams on the output results of the measured properties; and
v. super-imposing the frequency distribution diagrams of at least two effect yarns to find the overlapping area and / or non-overlapping area between the frequency distribution diagrams which correlates with the similarity of the distribution of event properties in the effect yarns compared with each other.

Wherein the Y axis of the frequency distribution diagram is the number of events and / or percentages of events and the X axis of the frequency distribution diagram is the measured property of events in the effect yarns.

BRIEF DESCRIPTION OF THE DRAWINGS

[0012] The present invention is described in the detailed description and not by way of limitation, in the figures of the accompanying drawings, and in which
Figure 1 shows the frequency distribution diagrams super-imposed for two effect yarns with for the property “Effect Length”.
Figure 2 shows the frequency distribution diagrams super-imposed for two effect yarns with for the property “Effect Distance”.
Figure 3 shows the frequency distribution diagrams super-imposed for two effect yarns with for the property “Effect Mass Increase”.
Figure 4 shows various frequency distribution diagrams super-imposed for two effect yarns with varying overlapping areas.

DETAILED DESCRIPTION OF THE INVENTION

[0013] For the better understanding of the object, technical solution and advantage of the present invention, the present invention will be further explained in detail with respect to embodiments and accompanying drawings below. It should be understood that the specific embodiments described herein only be used for explaining the present invention but not used to limit the present invention.

[0014] Effect yarns which are also called as Slub yarns possess special properties. Faults are intentionally created over these yarns which creates fancy effects when fabrics and garments are made out of it. These faults are also called as effects. There are various properties which are measured by an evenness tester for effect yarns. Some important properties include number of effects, effect length, effect distance and effect mass increase. It is very important to monitor these properties since these properties affect the visual appearance of the finished goods made out of it.

[0015] Sometimes it becomes important for the effect yarn manufacturer to compare two or more effect yarns. One example is to compare the effect distribution in two effect yarns produced in two different machines. Another example is to compare the effect distribution of the reference effect yarn and the actual effect yarn produced to estimate the similarity. In such cases, with simple numerical or graphical results it becomes difficult for the manufacturer to compare and arrive at a conclusion.

[0016] In an aspect of the present invention, the effect yarns are tested in evenness tester and the results are obtained in numerical and graphical forms. Numerical results include number of effects, effect length, effect distance, effect mass increase etc. For example, if the yarn is tested for 1000 meter, then all the effects occurring for the entire test length and its properties are measured and stored. Based on the results, frequency distribution diagrams (1, 2) are generated for each effect yarn tested. Such frequency distribution diagram represents the distribution of effects for each property measured. For example, a frequency distribution diagram of effect length represents how the effect length for all the effects measured for the effect yarn is distributed across the test length.

[0017] In another aspect of the present invention, such kind of frequency diagrams are generated for various effect yarns tested in the evenness tester and stored. Now, the frequency distribution diagrams of two or more yarns are compared with each other by super-imposing one over the other. If the overlapping area is more it means that the property of the effect is distributed equally between the effect yarns compared. If the frequency distribution diagrams are distinctively separated from each other then it means the effect distribution is not similar between the effect yarns compared. This will help in understanding the area of overlapping and non-overlapping of the frequency distribution diagrams which correlates with the similarity of the distribution of event properties in the effect yarns compared with each other.

[0018] The present invention relates to a method of comparing the distribution of event properties of at least two effect yarns characterized by wherein the said method comprises:
i. testing the effect yarns in the evenness tester;
ii. measuring the various properties of the effect yarns;
iii. storing the output results;
iv. constructing the frequency distribution diagrams on the output results of the measured properties; and
v. super-imposing the frequency distribution diagrams of at least two effect yarns to find the overlapping area and / or non-overlapping area between the frequency distribution diagrams which correlates with the similarity of the distribution of event properties in the effect yarns compared with each other.
Wherein the Y axis of the frequency distribution diagram is the number of events and / or percentage of events and the X axis of the frequency distribution diagram is the measured property of events in the effect yarns.

[0019] In certain embodiments, the representations in the X and Y axis can be interchanged.

[0020] In one embodiment of the present invention as represented in figure 1, the first frequency distribution diagram (1) of first effect yarn is compared with the second frequency distribution diagram (2) of second effect yarn by super-imposing one over the other. The overlapping area (3) indicates the similarity in distribution of effect properties compared. In this case, the effect property compared is the Effect Length which is in the X axis of the representation and the Y axis represents the frequency in absolute numbers or percentage.

[0021] In certain embodiments, the first frequency distribution diagram (1), second frequency distribution diagram (2) and the overlapping area are filled with any shades or any patterns or colors for easy identification. The overlapping area can be represented graphically and / or numerically.

[0022] In another embodiment, Figure 2 represents the frequency distribution diagrams (1 & 2) for the property Effect Distance which is the X axis of representation and Frequency in absolute number or percentage which is the Y axis of representation.

[0023] In yet another embodiment, Figure 3 represents the frequency distribution diagrams (1 & 2) for the property Effect Mass Increase which is the X axis of representation and Frequency in absolute number or percentage which is the Y axis of representation.
[0024] In certain embodiments, Figure 4 represents various combinations of frequency distribution diagrams (1 & 2) overlapping. Figure 4a represents a superimposition with high overlapping area. Figure 4b represents a superimposition with moderate overlapping area. Figure 4c represents a superimposition with less overlapping area. Figure 4d represents a superimposition with no overlapping at all.
,CLAIMS:CLAIMS

We Claim:
1. A method of comparing the distribution of event properties of at least two effect yarns characterized by where in the said method comprises:

i. testing the effect yarns in the evenness tester;
ii. measuring the various properties of the effect yarns;
iii. storing the output results;
iv. constructing the frequency distribution diagrams on the output results of the measured properties; and
v. super-imposing the frequency distribution diagrams of at least two effect yarns to find the overlapping area and / or non-overlapping area between the frequency distribution diagrams which correlates with the similarity of the distribution of event properties in the effect yarns compared with each other
wherein the Y axis of the frequency distribution diagram is the number of events and / or percentage of events and the X axis of the frequency distribution diagram is the measured property of events in the effect yarns.

2. The method according to claim 1, wherein the representations in the X and Y axis can be interchanged.

3. The method according to claim 1, wherein the frequency distribution diagram of each effect yarn can be identified by means of filling shades or patterns or colors.

4. The method according to claim 1, wherein the overlapping area of two or more frequency distribution diagrams is identified by means of filling shades or patterns or colors which is distinct compared to the non-overlapping area of the frequency distribution diagrams.

5. The method according to claim 1, wherein the overlapping area is represented graphically and or numerically.