Construction and application of least square method-based woven fabric woven fabric elongation predicting model

A technique of least squares method and prediction model, which is applied in the construction and application field of the elongation prediction model of woven fabrics, which can solve the problems of strong sense of restraint, great effort and discomfort of fabrics, achieve good fitting degree and save costs , High confidence effect

Active Publication Date: 2018-06-12
HENAN INST OF ENG
View PDF3 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the extensibility of the fabric is too low, it will make people feel oppressed and uncomfortable when wearing; if the fabric needs a lot of effort to stretch, it will make the fabric feel too restrained, and it will also make people feel uncomfortable when wearing it. uncomfortable

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Construction and application of least square method-based woven fabric woven fabric elongation predicting model
  • Construction and application of least square method-based woven fabric woven fabric elongation predicting model
  • Construction and application of least square method-based woven fabric woven fabric elongation predicting model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0045] Example: Parameter Screening and Construction of Prediction Model for Twill Woven Fabric Stretch

[0046] 1. Select the twill woven fabric woven from three different thread types as the sample. The specifications of the sample are shown in Table 1 below;

[0047] Table 1 Basic specifications of test samples

[0048]

[0049]

[0050] 2. Test the following performance indexes of the disassembled yarn in the sample woven fabric

[0051] a. Remove several weft yarns and warp yarns from each sample. According to the textile industry standard FZ / T01093-2008, according to the method A in the standard, remove several weft yarns with a length greater than 50cm from each sample. For the weft and warp yarns, pretension is applied to the yarn on the Y331N yarn twisting machine, so that the removed warp and weft yarns are completely straightened, and the length of 50cm is intercepted in the straightened state, and finally the straightened warp and weft yarns Weigh, and then calculate the ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

PropertyMeasurementUnit
widthaaaaaaaaaa
lengthaaaaaaaaaa
elongationaaaaaaaaaa
Login to view more

Abstract

The invention discloses a construction and application of a least square method-based woven fabric woven fabric elongation predicting model, and aims to provide a convenient and quick method for predicting elongation of woven fabric in an elasticity range. The construction of the model comprises the following steps: performing performance test on a woven fabric sample under the condition of the industrial standard; performing a scientific and rational analysis on the test data; establishing a multiple linear regression model with a good fitting result in combination with the least square method. The fabric elongation predicting method disclosed by the invention comprises the following steps: measuring the performance of the woven fabric sample according to the textile industrial standard;in combination with the model, quickly predicting corresponding theoretical elongation when different loads are applied within the elasticity range of the woven fabric. The method disclosed by the invention is simple and can obviously shorten the time of calculating the elastic elongation of the woven fabric, and provides a direct theoretical basis and guidance for the design for a textile mill, the application of twill woven fabric, the development of relevant products as well as reasonable utilization of raw materials.

Description

Technical field [0001] The invention relates to the technical field of fabric detection, in particular to the construction and application of a woven fabric elongation prediction model based on a least square method. Background technique [0002] With the development of society, in the practice of the struggle between mankind and nature, textile production technology and product quality have been continuously improved and developed. Textiles have become an important daily necessities and are one of the important indicators that reflect the country’s economic development and people’s living standards. People put forward higher requirements for the wearability of fabrics, and the properties of fabrics such as stretching, abrasion resistance, tearing, and drape directly affect the wearability of fabrics, so they are also the main content of evaluating the quality of fabrics. [0003] The fabric properties that consumers care about most when buying or wearing clothing are color, patte...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01N3/28
CPCG01N3/28G01N2203/0003G01N2203/0017G01N2203/0067G01N2203/0282
Inventor 高秀丽朱进忠马琴李天赐
Owner HENAN INST OF ENG
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products