High-efficiency filament helical winding devices

Patent metadata

Field	Value
Publication number	US-11712835-B2
Application number	US-202218048023-A
Country	US
Kind code	B2
Filing date	Oct 19, 2022
Priority date	Jun 7, 2021
Publication date	Aug 1, 2023
Grant date	Aug 1, 2023

Abstract

The present disclosure provides a high-efficiency filament helical winding device, which includes a frame body and a plurality of multi-filar guides. The frame body is provided with a through-hole, the plurality of multi-filar guides distributed in a circumference along a center of the through-hole are rotationally connected to the frame body and filament is extended out from each multi-filar guide in the plurality of multi-filar guides, and the frame body is provided with a first driving mechanism that drives each multi-filar guide to rotate.

First claim

What is claimed is:

1. An intelligent control system of filament winding, comprising a frame body, a plurality of multi-filar guides, a telescopic mechanism, and a control system, wherein
the frame body is provided with a first driving mechanism, the first driving mechanism includes a driving element, and the first driving mechanism drives each multi-filar guide to rotate;
the telescopic mechanism includes a plurality of shifting fork mechanisms and a second driving mechanism, the second driving mechanism includes a second driving element, and the second driving mechanism drives each multi-filar guide to expand and contract; and
the control system includes a controller, a displacement sensor, and an angle sensor, and the displacement sensor and the angle sensor are communicated with the controller, wherein the displacement sensor is used to obtain displacement information of the multi-filar guide, the angle sensor is used to obtain angle information of the multi-filar guide, the controller is used to send a control instruction to the first driving element and the second driving element based on the displacement information of the multi-filar guide obtained from the displacement sensor and the angle information of the multi-filar guide obtained from the angle sensor.

2. The intelligent control system of claim 1 , wherein the controller is used to:
predict a position of the multi-filar guide based on parameters of the workpiece, the displacement information of the multi-filar guide, and the angle information of the multi-filar guide;
determine a risk probability of unqualified winding based on the position of the multi-filar guide; and
in response to a determination that the risk probability of unqualified winding is greater than a threshold, send early warning information or the control instruction.

3. The intelligent control system of claim 1 , wherein the frame body is provided with a through-hole, the plurality of multi-filar guides distributed in a circumference along a center of the through-hole are rotationally connected to the frame body, filament is extended out from each multi-filar guide in the plurality of multi-filar guides; each multi-filar guide is rotationally connected to the frame body through a coupling sleeve, the coupling sleeve is rotationally connected to the frame body, each multi-filar guide is slidably connected to the coupling sleeve; the first driving mechanism is connected to the coupling sleeve to drive each multi-filar guide to rotate, and the second driving mechanism drives each multi-filar guide to slide along the coupling sleeve.

4. The intelligent control system of claim 1 , wherein each multi-filar guide is connected to a shifting fork mechanism in the plurality of shifting fork mechanisms; the shifting fork mechanism includes a shifting fork and a guide rod, the guide rod is fixedly connected to the frame body, the shifting fork is slidably connected to the guide rod, and one end of the shifting fork is rotationally connected to the multi-filar guide; and the second driving mechanism is connected to the shifting fork to drive the shifting fork to slide along the guide rod.

5. An intelligent control method of filament winding, which is executed by a controller of an intelligent control system of filament winding, comprising:
obtaining displacement information of multi-filar guide measured by a displacement sensor and angle information of the multi-filar guide measured by an angle sensor; and
sending a control instruction to a first driving element and a second driving element for controlling the first driving element to drive rotation of the multi-filar guide and the second driving unit to drive expansion and contraction of the multi-filar guide based on the displacement information of the multi-filar guide and the angle information of the multi-filar guide.

6. The intelligent control method of claim 5 , further comprising:
predicting a position of the multi-filar guide based on parameters of the workpiece, the displacement information of the multi-filar guide, and the angle information of the multi-filar guide;
determining a risk probability of unqualified winding based on the position of the multi-filar guide; and
in response to a determination that the risk probability of unqualified winding is greater than a threshold, sending early warning information or the control instruction.

7. The intelligent control method of claim 6 , wherein the predicting a position of the multi-filar guide includes:
outputting the position of the multi-filar guide by processing the parameters of the workpiece, the displacement information of the multi-filar guide, and the angle information of the multi-filar guide based on a prediction model, wherein the prediction model is a machine learning model.

8. The intelligent control method of claim 7 , wherein an input of the prediction model includes the parameters of the workpiece, the displacement information of current and previous multi-filar guides, and the angle information of current and previous multi-filar guides, an output of the prediction model includes position of subsequent multi-filar guide.

9. The intelligent control method of claim 8 , wherein the prediction model includes a feature layer, a sequence layer, a first prediction layer, and a second prediction layer, wherein
an input of the feature layer includes the parameters of the workpiece, and an output of the feature layer is a feature vector of the workpiece;
an input of the sequence layer includes the displacement information of the current and previous multi-filar guides, and the angle information of the current and previous multi-filar guides, and an output of the sequence layer is a sequence feature of the position;
an input of the first prediction layer includes the feature vector of the workpiece and the sequence feature of the position, and an output of the first prediction layer is the position of the subsequent multi-filar guide; and
an input of the second prediction layer includes the sequence feature of the position and the position of the subsequent multi-filar guide, and an output of the second prediction layer is the risk probability of unqualified winding.

10. The intelligent control method of claim 6 , wherein the sending the control instruction includes:
obtaining adjustment parameters of the multi-filar guide;
send the control instruction to the multi-filar guide based on the adjustment parameters of the multi-filar guide.

11. The intelligent control method of claim 10 , wherein the obtaining adjustment parameters of the multi-filar guide includes:
determining the adjustment parameters of the multi-filar guide based on an adjustment model, wherein the adjustment model is a machine learning model.

12. The intelligent control method of claim 10 , wherein the determining the adjustment parameters of the multi-filar guide based on an adjustment model includes:
inputting operation parameters of the adjusted multi-filar guide, the parameters of the workpiece, the displacement information of the current and previous multi-filar guides, and the angle information of the current and previous multi-filar guides into the adjustment model to output the risk probability of unqualified winding corresponding to the operation parameters of the adjusted multi-filar guide; and
when the risk probability of unqualified winding output by the adjustment model is less than the threshold, generating the control instruction based on the input operation parameters of the adjusted multi-filar guide.

Assignees

• Univ Taiyuan Technology

Inventors

• Liang Jianguo
• Yin Weilin
• Zhao Chunjiang
• Zhu Yanchun
• Wang Chen
• Zhang Qi
• Zhao Xiaodong

Classifications

• B29C53/70 Primary

  and moving axially · CPC title

• B29C53/602

  for tubular articles having closed or nearly closed ends, e.g. vessels, tanks, containers · CPC title

• B29L2031/7156

  Pressure vessels · CPC title

• B29C53/58 Primary

  helically · CPC title

• B29C53/8016

  Storing, feeding or applying winding materials, e.g. reels, thread guides, tensioners · CPC title