Machine for weaving or winding a fiber texture and enabling anomalies to be inspected by image analysis

• US 9,726,616 B2
• Filed: 04/18/2014
• Issued: 08/08/2017
• Est. Priority Date: 04/26/2013
• Status: Active Grant

• Current Assignee: Safran Aircraft Engine Company
• Original Assignee: Snecma (Safran SA)
• Inventors: Corradini, Sylvain, Mathon, Richard, Durand, Jean-Francois
• Primary Examiner(s): Stock, Jr., Gordon J
• Application Number:
  US14/787,142
• Publication Number:
  US 20160077019A1
• Time in Patent Office: 1,208 Days
• CPC Class Codes: B29C 70/32 on a rotating mould, former or core
• CPC Class Codes: B65H 26/02 responsive to presence of irregularities in running webs
• CPC Class Codes: B65H 63/065 using photo-electric sensing means, i.e. the defect signal is a variation of light energy
• CPC Class Codes: D03D 51/08 stopping at definite point in weaving cycle, or moving to such point after stopping
• CPC Class Codes: D03J 1/004 Detection and repair of broken warp yarns
• CPC Class Codes: D03J 1/007 Fabric inspection on the loom and associated loom control
• CPC Class Codes: D06H 3/08 by photo-electric or television means D06H3/12, D06H3/14, D06H3/16 take precedence
• CPC Class Codes: D06H 3/12 Detecting or automatically correcting errors in the position of weft threads in woven fabrics
• CPC Class Codes: F01D 21/045 special arrangements in stators or in rotors dealing with breaking-off of part of rotor
• CPC Class Codes: G01N 2021/8472 Investigation of composite materials
• CPC Class Codes: G01N 21/8903 using a multiple detector array
• CPC Class Codes: G01N 21/898 Irregularities in textured or patterned surfaces, e.g. textiles, wood

Abstract

A machine for weaving or winding a fiber preform on a mandrel having an axis of rotation that is substantially horizontal and that serves to receive the preform, the machine having a plurality of cameras pointing towards the underside of the fiber preform in order to scan the hidden face of the fiber preform and acquire images of the hidden face; an image analysis module for processing these images of the hidden face of the fiber preform in a plurality of adjacent scan windows, and for extracting weaving patterns therefrom and comparing them with reference weaving patterns previously stored in the module; a motor for driving the mandrel in rotation about its axis of rotation; and a control unit for stopping rotation of the mandrel if the result of the comparison reveals a difference of appearance between the two weaving patterns.

Claims

1. A method of determining weaving anomalies in a machine for weaving or winding a fiber preform onto a mandrel having an axis of rotation that is substantially horizontal for receiving the preform, the mandrel being driven about the axis of rotation by a motor actuated by a control unit;

said method comprising;

scanning and acquiring images, with a plurality of cameras looking at the underside of the fiber texture, of the bottom face of the fiber preform,

processing, with an image analysis module, the images of the bottom face of the fiber preform in a plurality of adjacent scan windows in order to extract weaving patterns therefrom,

comparing said weaving patterns with reference weaving patterns previously stored in the module, stopping, with the control unit, rotation of the mandrel if the result of the comparison reveals, in at least one scan window, a difference in appearance between the two weaving patterns that is characteristic of the presence of an anomaly resulting from pollution and/or weaving faults in the fiber preform, and

wherein, when an anomaly is recognized, its position on the fiber preform and a label selected by an operator from predetermined types of anomaly are stored together with an image of said anomaly, and when the recognized anomaly is repaired, a corresponding label selected by an operator from predetermined types of repair is stored together with an image of said repair, and the recognized anomalies and the repaired anomalies are displayed in a developed representation or a three-dimensional representation of said fiber preform that is accessible to the operator from said control unit.

2. The method according to claim 1, wherein the sizes, the positions, and the number of scan windows are defined by the operator directly on images coming from the cameras.

3. The method according to claim 2, wherein the number of scan windows corresponds at most to the number of cameras pointing towards the fiber preform.

4. The method according to claim 3, wherein the cameras are mounted in a light box adapted to match the profile of said mandrel and placed as close as possible to said fiber preform, the light box delivering blue light at a wavelength lying in the range 446 nm to 500 nm, or red light at a wavelength lying in the range 620 nm to 800 nm.

5. The method according to claim 1, wherein said appearance difference results from examining gray level curves for the images from the cameras.

6. The method according to claim 5, wherein said examination is performed in each of the scan windows along at least one detection line.

7. The method according to claim 5, wherein said examination is performed in each of the scan windows over a predefined detection area.

8. The method according to claim 1, wherein said mandrel is a pull mandrel of a loom.

9. The method according to claim 1, wherein said mandrel is an impregnation mandrel of a winding machine.

10. The method according to claim 1, wherein said representation of said fiber preform is superposed with a map of faults observed when performing ultrasound monitoring.