Optical Textile Cord Counting for Rubber Sheet Calendering
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Solution Overview
Problem
Existing x-ray-based detectors fail to provide sufficient contrast between textile cords and rubber material for accurate quality control in tire manufacturing, necessitating improved methods for monitoring cord count, spacing, and defect detection in textile-reinforced rubber sheets.
Innovation Solution
Surface imaging techniques using light sources and cameras to illuminate and capture digital images of textile-reinforced rubber sheets, analyzing these images with Fast Fourier Transform or sinusoidal fitting to determine cord parameters, such as count and spacing, and detect defects in real time without requiring displacement sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If x-ray-based detectors are used to detect textile cords, then detection capability is provided, but sufficient contrast between textile cords and rubber material is not achieved
Solution Approach 1:
The patent introduces an optical intermediary system consisting of light sources and cameras that mediate between the textile cords and the detection system. The light sources illuminate the cords at specific angles, and the cameras capture the reflected or scattered light, creating an optical intermediary representation that provides sufficient contrast between the textile cords and rubber material, resolving the contrast information loss problem of x-ray detection.
Solution Approach 2:
The patent utilizes optical reflection and scattering properties to create visual contrast differences. By illuminating the textile cords with light and capturing the reflected light patterns with cameras, the system generates images where the cords appear with distinct brightness and texture characteristics compared to the rubber material, effectively using optical 'color' and intensity changes to achieve detectable contrast.
2Measurement precision
If surface imaging techniques are used to monitor cord parameters, then real-time detection accuracy is improved, but device complexity increases due to additional imaging components
Solution Approach 1:
The patent designs the imaging system to perform multiple functions simultaneously: the same light sources and cameras used for cord detection also provide illumination and imaging for defect detection, and the captured images can be processed to extract various parameters including cord count, spacing, and defects. This multi-functionality reduces the need for separate dedicated sensors for each measurement task, thereby limiting the increase in device complexity while maintaining high measurement precision.
Solution Approach 2:
The patent creates optical copies (images) of the textile cords and sheet surface using cameras. These digital images serve as replicas that can be analyzed without physically contacting or disrupting the actual production process. The image processing system extracts cord parameters from these copies, enabling precise measurement while keeping the physical detection hardware relatively simple.
3Device complexity
If displacement sensors are avoided in the monitoring system, then device complexity is reduced, but measurement capability must be maintained through alternative methods
Solution Approach 1:
The patent replaces mechanical displacement sensors with an optical imaging system. Instead of using mechanical sensors to physically measure cord positions and calculate parameters, the system uses light sources and cameras to capture images, then applies image processing and signal analysis (such as Fourier transform or autocorrelation) to extract cord parameters directly from the image data, substituting mechanical measurement with optical and computational methods.
Solution Approach 2:
The patent transitions from one-dimensional mechanical displacement measurement to two-dimensional optical imaging measurement. The camera captures two-dimensional images of the cord pattern, and through image processing, extracts one-dimensional cord parameters such as count and spacing. This dimensional transition allows the system to obtain measurement information from a different domain (optical space) without requiring mechanical displacement sensors.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Accurately monitors cord count and detects defects in real time, enhancing production quality and efficiency by providing precise control over tire manufacturing processes.
Implementation Method 1
using a light source to illuminate an area on a side of the sheet with radiation
Implementation Method 2
obtaining digital images with a camera of an illuminated area on the outer surface of the sheet
Data Source
AI summary
Calculating cord parameters of a textile reinforced rubber sheet moving in the machine direction includes: (a) illuminating an area on a side of the sheet with radiation; (b) obtaining a digital image of an illuminated area; (c) generating a digital image of the outer surface; and (d) calculating cord parameters. The elongated textile cords are preferably parallel to each other the elongated textile cords are orientated in a cross direction which is perpendicular to the machine direction. Scanning or static camera with a light source can be employed, wherein the light is directionally perpendicular to the plurality of cords. Cord count per unit length, cord spacing, the presence of missing cords, and/or the presence of shifted cords can be determined.


