Method and system for monitoring web defects along a moving paper web

• US 6,299,730 B1
• Filed: 09/20/1999
• Issued: 10/09/2001
• Est. Priority Date: 09/20/1999
• Status: Expired due to Fees

• Current Assignee: Meadwestvaco (WestRock Company)
• Original Assignee: MEAD Corporation (Meadwestvaco Corporation)
• Inventors: Broek, David, Connolly, Kevin Paul, Swinehart, Dirk Everett
• Primary Examiner(s): Silverman, Stanley S.
• Assistant Examiner(s): Halpern, Mark
• Application Number:
  US09/399,594
• Time in Patent Office: 750 Days
• Field of Search: 162/198, 162/263, 162/DIG.10, 162/DIG.11, 356/431, 356/430, 356/429, 702/127
• US Class Current: 162/198
• CPC Class Codes: B65H 26/02 responsive to presence of irregularities in running webs
• CPC Class Codes: Y10S 162/10 Computer control of paper making variables
• CPC Class Codes: Y10S 162/11 Wet end paper making variables

Abstract

A method and system for monitoring web defects along a moving web of paper involves determining a dimension of a web defect as the paper web moves along an established paper path in a machine direction. A distance from a side edge of the paper web to a location of the web defect is also determined as the paper web moves along the established paper path. A value indicative of a likelihood of paper web failure at the web defect is then established based at least in part upon both the determined dimension and the determined distance. A determination of whether to stop the moving paper web for repair of the web defect can then be made based at least in part upon the determined failure likelihood indicative value. An alternative technique involves establishing a plurality of paper web width regions. A dimension of a web defect is determined as the paper web moves along an established paper path in a machine direction. The web defect is categorized as falling into one of the established paper web width regions. A determination of whether to repair the web defect can then be made based at least in part upon the determined dimension and the categorization made.

Claims

1. A method for monitoring web defects along a moving web of paper comprising:

(a) determining a cross machine direction dimension of a web defect as the paper web moves along an established paper path in a machine direction;

(b) determining a distance from a side edge of the paper web to a location of the web defect as the paper web moves along the established paper path;

(c) automatically establishing a value indicative of a likelihood of paper web failure at the web defect as a function of at least both the determined dimension of step (a) and the determined distance of step (b); and

(d) determining whether to stop the moving paper web for repair of the web defect based at least in part upon the failure likelihood indicative value of step (c).

2. The method of claim 1 wherein:

in step (b) the distance determined is a distance from a cross machine direction center of the web defect to the side edge of the paper web in the cross machine direction; and

in step (c) the failure likelihood indicative value is established utilizing a fracture mechanics based calculation scheme.

3. The method of claim 2 wherein:

step (d) includes comparing the failure likelihood indicative value of step (c) with a threshold value; and

if the failure likelihood indicative value falls below the threshold value the web defect is repaired.

4. The method of claim 3 wherein the failure likelihood indicative value comprises a relative strength of the paper web in the region of the web defect.

5. The method of claim 4 wherein:

in step (c) a failure strength (σ

_fracture) of the web at the defect location is calculated using fracture mechanics equations as follows;

${\mathrm{\sigma <br><br>}}_{\mathrm{fracture}}=\frac{K_{\mathrm{ceff}}}{\mathrm{\beta <br><br>}<br><br>\sqrt{\mathrm{\pi <br><br>}<br><br>\text{\hspace{1em}<br><br>}<br><br>a+\frac{K_{\mathrm{ceff}}^2}{F_{\mathrm{tu}}^2}}}$$\mathrm{where}$$\mathrm{\beta <br><br>}=1+\left(0.6+0.8<br><br>\frac{E}{W}\right)<br><br>\left(\sqrt{\sec <br><br>\frac{\mathrm{\pi <br><br>}<br><br>\text{\hspace{1em}<br><br>}<br><br>a}{2<br><br>E}}-1\right)$$\mathrm{where}$$K_{\mathrm{ceff}}=\frac{\mathrm{\beta <br><br>\sigma <br><br>}<br><br>\sqrt{\mathrm{\pi <br><br>}<br><br>\text{\hspace{1em}<br><br>}<br><br>a}}{\sqrt{1-\frac{{\mathrm{\beta <br><br>}}^2<br><br>{\mathrm{\sigma <br><br>}}^2}{{\mathrm{aF}}_{\mathrm{tu}}^2}}}$

where E is the distance determined in step (b);

where W is the side edge to side edge width of the paper web;

where F_tu is the tensile strength of the paper; and

where a is one half the dimension determined in step (a).

6. The method of claim 5 wherein F_tu is an estimated value.

7. The method of claim 1 wherein:

in step (b) the distance determined is a distance from a cross machine direction center of the web defect to the edge of the paper web in the cross machine direction; and

in step (c) the failure likelihood indicative value is established with reference to a map which is a function of both the dimension and the distance.

8. The method of claim 1 wherein the web defect referred to in steps (a), (b), (c) and (d) comprises a through web defect.

9. A method for monitoring web defects along a moving web of paper in order to repair certain defects, comprising:

(a) optically scanning the paper web as it moves along an established paper path in a machine direction and producing defect image signals;

(b) determining a cross machine direction dimension of a web defect based upon the image signals of step (a);

(c) determining a distance from a side edge of the paper web to a location of the web defect based upon the image signals of step (a);

(d) automatically establishing a value indicative of a likelihood of paper web failure at the web defect as a function of at least both the determined dimension of step (b) and the determined distance of step (c);

(e) comparing the failure indicative value of step (d) with a threshold value; and

(f) initiating a correction signal if the failure indicative value falls below the threshold value.

10. The method of claim 9 wherein the correction signal marks the web at the web defect so that the web defect can be repaired in a subsequent operation such as a re-reeler.

11. The method of claim 9 wherein the correction signal alerts an operator to the presence of the web defect.

12. The method of claim 9 comprising the further step of:

(g) monitoring a machine direction location of the web defect; and

(h) stopping the paper web with the web defect at a predetermined location in a subsequent operation.

13. A system for monitoring web defects comprising:

an optical scanning device arranged to view the entire width of the paper web as the paper web moves along an established path in a machine direction, the scanning device producing defect image signals;

a controller connected to receive the defect image signals produced by the optical scanning device, the controller operable to;

determine a cross machine direction dimension of a web defect based upon the image signals received;

determine a distance from a side edge of the paper web to a location of the web defect based upon the image signals received;

establish a value indicative of a likelihood of paper web failure at the web defect as a function of at least both the determined dimension and the determined distance; and

determine whether to initiate a correction signal based at least in part upon the failure likelihood indicative value.

14. The system of claim 13 wherein:

the controller is operable to determine a distance from a cross machine direction center of the web defect to the side edge of the paper web in the cross machine direction;

the controller is operable to establish the failure likelihood indicative value utilizing a fracture mechanics based calculation scheme; and

the controller is operable to compare the failure likelihood indicative value with a threshold value and to produce the correction signal if the failure likelihood indicative value falls below the threshold value.

15. The system of claim 14 wherein the correction signal triggers marking of the web at the web defect.

16. The system of claim 13 wherein the optical scanning device comprises a plurality of CCD cameras.

17. A method for monitoring web defects along a moving web of paper, comprising:

(a) establishing a plurality of paper web width regions;

(b) determining a dimension of a web defect as the paper web moves along an established paper path in a machine direction;

(c) categorizing the web defect as falling into one of the established paper web width regions; and

(d) determining whether to repair the web defect as a function of at least both the determined dimension of step (a) and the categorization made in step (c).

18. The method of claim 17 wherein:

step (d) includes establishing a threshold value for each of the paper web widths regions;

step (d) includes establishing a value indicative of a likelihood of paper web failure at the web defect based at least in part upon the determined dimension of step (a);

step (d) includes comparing the failure indicative value with the established threshold value corresponding to the categorization made in step (c).

19. The method of claim 18 wherein the threshold value for each paper width region is established utilizing fraction mechanics.

20. The method of claim 18 wherein the failure likelihood indicative value comprises the determined dimension of step (a) and the threshold value for each paper width region comprises a threshold defect dimension.

21. The method of claim 18 wherein in step (a) at least three paper web width regions are established and step (c) includes optically scanning the paper web.

22. The method of claim 17, wherein step (d) includes marking the paper web in the region of the web defect based upon the determined dimension of step (a) and the categorization made in step (c).

23. The method of claim 17, wherein the web defect referred to in steps (b), (c) and (d) comprises a through web defect.

24. A system for monitoring web defects comprising:

an optical scanning device arranged to view the entire width of the paper web as the paper web moves along an established path in a machine direction, the scanning device producing paper web image signals;

a controller connected to receive the paper web image signals produced by the optical scanning device, the controller operable to;

determine a dimension of a web defect based upon the image signals received;

categorize the web defect as falling into one of a plurality of established paper web width regions;

determine whether the web defect should be corrected as a function of at least both the determined dimension and the categorization made; and

produce a correction signal if a determination is made that the web defect should be corrected.

25. The system of claim 24 wherein, in determining whether the web defect should be corrected, the controller is operable to:

establish a value indicative of a likelihood of paper web failure at the web defect based at least in part upon the determined dimension; and

compare the failure indicative value with an established threshold value corresponding to the categorized paper width region.

26. The system of claim 24 wherein the correction signal effects a marking of the paper web in the region of the web defect for enabling identification of the location of the web defect to an operator.

27. The system of claim 24 wherein the web defect comprises a through web defect.

28. An automated method for monitoring web defects along a moving web of paper, the method comprising:

(a) scanning the paper web as it moves along an established paper path in a machine direction and producing defect indicative signals;

(b) determining a dimension of a given web defect based upon the signals of step (a);

(c) determining a cross machine direction position of the given web defect based upon the signals of step (a);

(d) automatically determining whether to identify the given web defect for possible repair as a function of at least both the dimension of step (b) and the position of step (c).

29. The method of claim 28 wherein the dimension of step (b) is a cross machine direction dimension.

30. The method of claim 29 wherein step (d) involves reference to a map stored in memory for retrieval of a stored value.

31. The method of claim 29 wherein step (d) involves calculating a value indicative of a likelihood of paper web failure at the web defect as a function of at least both the dimension of step (b) and the position of step (c).

32. A system for monitoring web defects comprising:

a scanning device arranged to view the entire width of the paper web as the paper web moves along an established path in a machine direction, the scanning device producing defect indicative signals in response to movement of defects thereby;

a controller connected to receive the defect indicative signals produced by the scanning device, the controller operable to;

determine a dimension of a given web defect based upon the defect indicative signals received from the scanning device;

determine a cross machine direction position of the given web defect based upon the defect indicative signals received;

determine whether to initiate a correction signal based at least in part upon both the determined dimension of the given web defect and the determined cross machine direction position of the given web defect.

33. The system of claim 32 wherein the determined dimension is a cross machine direction dimension of the given web defect.

34. The system of claim 32, further comprising:

a map stored in memory; and

wherein the controller retrieves a stored value from the map in order to determine whether to initiate the correction signal.