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Method for modeling relationship between chemical wood pulp cellulose characteristics and paper sheet tensile strength

A technology of tensile strength and modeling method, applied in the field of pulp and paper making, to achieve the effect of clear physical meaning and simple model

Inactive Publication Date: 2015-06-03
ZHEJIANG SCI-TECH UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, there are some parameters in the model that are difficult to obtain through conventional analysis and testing methods, such as the relative bonding area (RBA) between fibers

Method used

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  • Method for modeling relationship between chemical wood pulp cellulose characteristics and paper sheet tensile strength
  • Method for modeling relationship between chemical wood pulp cellulose characteristics and paper sheet tensile strength
  • Method for modeling relationship between chemical wood pulp cellulose characteristics and paper sheet tensile strength

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] The wood pulp boards were deflaked and PFI refined, and the refining revolutions were 2500R and 4500R. Each fiber slurry that is obtained is made into quantitatively 60g / m 2 The paper sheets were dried naturally in a constant temperature and humidity laboratory (temperature: 23±1°C, humidity: 50±2%RH) for 24 hours, and the tensile strength and elongation of the paper sheets were tested. The fiber shape test is carried out with a fiber quality analyzer, and the fiber crimp index C calculated based on the weight-average fiber length is obtained w . Bring the tensile strength, elongation and curl index of the fiber into the paper tensile strength model T=m·C w a ·s b Among them, the Minitab statistical analysis software is used for fitting, and the correlation coefficient of the model prediction value and the tensile strength (natural logarithm) of the test is 0.91, and the mathematical expression of the model is: T=46.53 C w -0.48 ·s 1.21 , see Figure 1(a).

Embodiment 2

[0042] The wood pulp boards were deflaked and PFI refined, and the refining revolutions were 2500R and 4500R. Each fiber slurry that is obtained is made into quantitatively 60g / m 2 The paper sheets were dried naturally in a constant temperature and humidity laboratory (temperature: 23±1°C, humidity: 50±2%RH) for 24 hours, and the tensile strength and elongation of the paper sheets were tested. The fiber shape test is carried out with a fiber quality analyzer, and the fiber crimp index C calculated based on the weight-average fiber length is obtained w , the weight-average fiber length l w . Incorporate sheet tensile strength, elongation, fiber crimp index, and weight-average length into the sheet tensile strength model Adopt Minitab statistical analysis software to carry out fitting, the correlation coefficient of the model prediction value obtained and test value is 0.90, and the mathematical expression of model is: T=44.26 C w -0.46 ·s 1.22 l w -0.22 , see Figure 1(...

Embodiment 3

[0044] The wood pulp boards were deflaked and PFI refined, and the refining revolutions were 2500R and 4500R. The water retention value (WRV) of pulp before and after refining was determined. Then each fiber slurry that obtains is made quantitatively and is 60g / m 2 After the paper sheets were dried naturally for 24 hours in a laboratory with constant temperature and humidity (temperature: 23±1°C, humidity: 50±2%RH), the tensile strength and elongation of the paper sheets were tested. Fiber quality analyzer is used to carry out fiber shape test, and the weight-average length l of the fiber is measured w , bringing the paper tensile strength, elongation, water retention value of the pulp and fiber weight-average length into the paper tensile strength model Using Minitab statistical analysis software to fit, the correlation coefficient of the obtained model prediction value and test value is 0.95, and the mathematical expression of the model is: T=7.91×10 -3 ·WRV 1.62 ·s 0....

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Abstract

The invention discloses a method for modeling a relationship between chemical wood pulp cellulose characteristics and paper sheet tensile strength. The method is characterized in that wood pulp cellulose, which is prepared according to a chemical method, is taken as a model sample; the wood pulp cellulose comprises softwood pulp and hardwood pulp; 12 types of fibers with different morphological parameters are obtained by means of performing defibering and PFI defibrination on different types of wood-pulp boards; for a paper sheet in the model, a tensile strength is assumed as T, an Elongation is assumed as s, and a fiber crimp index is assumed as Cw, then a paper sheet tensile strength model expression is T=m*Cw*S, wherein a, m and n are constant numbers. According to the method for modeling the relationship between the chemical wood pulp cellulose characteristics and the paper sheet tensile strength, all parameters in the paper sheet tensile strength model are fiber characteristic parameters, and can be obtained through conventional analysis and test methods.

Description

technical field [0001] The invention relates to a modeling method for the relationship between chemical wood pulp fiber characteristics and paper sheet tensile strength, and belongs to the technical field of pulp and paper making. Background technique [0002] Paper is a network structure material randomly constructed by plant fibers, and its strength performance depends on the type of fibers used and their properties. The properties of fibers mainly include fiber length, thickness, width, crimp index, kink index, fine fiber content, strength of fiber itself, bonding strength between fibers and relative bonding area between fibers, etc. Based on the effect of these parameters on the tensile strength of paper, scholars at home and abroad have established and developed the tensile strength model of paper. There are three main types of tensile strength models for paper: the Page tensile model and its improved model; the Cox model (later known as the Shear-lag model) and its im...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00G01N33/34
Inventor 唐艳军胡秀兰杨淑杰张宇
Owner ZHEJIANG SCI-TECH UNIV
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