Method for obtaining the consistency coefficient of the material fluid inside the xanthating machine

Abstract

This invention discloses a method for obtaining the consistency coefficient of the material fluid inside a xanthating machine, comprising the following steps: measuring the power P of the xanthating machine at a certain time point during the xanthating process. 实测 The power P is calculated. 实测 The numerical range of the lower consistency coefficient; using finite element analysis, a theoretical consistency coefficient K is selected within the stated numerical range. pl Substituting the theoretical consistency coefficient K pl "Obtain the corresponding power P'; compare the power P' with the power P." 实测 The magnitude of the power P' is such that the power P' is equal to the power P'. 实测 If they are the same, then the theoretical consistency coefficient K pl "That is, the power P of the yellowing machine" 实测 Actual consistency coefficient K pl The method of this invention is based on the measured power P of the xanthation machine. 实测 Inverse calculation to obtain the consistency coefficient K of the material fluid inside the xanthating machine pl This solves the problem that the yellowing machine is always in a closed state during operation, making it impossible for staff to directly measure the consistency coefficient of the material fluid inside the yellowing machine.

Description

Technical Field

[0001] This invention relates to the field of textile technology, and in particular to a method for obtaining the consistency coefficient of the fluid inside a yellowing machine. Background Technology

[0002] Viscose fiber is one of the most widely used man-made fibers. my country has a large demand for xanthation machines, being the world's largest producer of such equipment. my country has been researching and developing xanthation machines for 50 years, with mature conventional technologies and a relatively complete production system capable of manufacturing all related equipment. However, current production is mainly concentrated on 33m... 3 and 35m 3 Medium-capacity equipment is currently being developed, while large capacity, high output, and high efficiency represent the current development trend and direction for xanthation machines. To increase the annual output of a single viscose fiber production line and enhance market competitiveness, it is essential to improve the performance and capacity of the equipment. Therefore, performance research on large-capacity xanthation machines is particularly important. Currently, my country holds a world-leading position in the research and development of large-capacity xanthation machines.

[0003] Throughout the xanthation machine's working cycle, the agitator plays a crucial role. The rotating helical belts on the agitator cause the material to tumble and mix thoroughly, completing a series of processes including xanthation, dissolution, discharge, and washing of alkali cellulose. Within one working cycle, the material inside the cylinder changes from powder to viscous to liquid, and the agitator's torque continuously changes with the material's state. Because the xanthation process involves highly toxic materials and the process materials are non-homogeneous and subject to extreme variations, direct measurement of rheological parameters is difficult.

[0004] During the xanthation process, the xanthation machine is in a vacuum-sealed state, and toxic, flammable, and explosive CS2 gas is added. Under normal circumstances, the xanthation machine remains sealed, and operators cannot observe the situation inside the drum or directly measure the consistency coefficient of the material fluid inside the xanthation machine. By monitoring the viscosity changes of the material inside the drum, the quality of the material in the production process and the status of the agitator production process can be grasped in real time, providing the production data necessary for automated and even intelligent production.

[0005] Therefore, it is essential to provide a method for obtaining the consistency coefficient of the material fluid inside the xanthating machine.

[0006] Therefore, it is evident that whether a method can be provided to obtain the consistency coefficient of the material fluid inside the yellowing machine based on the shortcomings of the existing technology has become a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0007] The technical problem to be solved by the present invention is to overcome the defect in the prior art that the consistency coefficient of the material fluid inside the xanthating machine cannot be directly measured, and to provide a method for obtaining the consistency coefficient of the material fluid inside the xanthating machine.

[0008] The present invention solves the above-mentioned technical problems through the following technical solution:

[0009] A method for obtaining the consistency coefficient of a material fluid inside a xanthating machine includes the following steps:

[0010] The power P of the chloromatization machine at a certain time point during the chloromatization process was measured. 实测 ;

[0011] The power P is calculated. 实测 The numerical range of the lower consistency coefficient;

[0012] Using finite element analysis, a theoretical consistency coefficient K is selected within the specified numerical range. pl Substitute the theoretical consistency coefficient K into the equation. pl "Obtain the corresponding power P';

[0013] Compare the power P' with the power P 实测 The magnitude of the power P' is such that the power P' is equal to the power P'. 实测 If they are the same, then the theoretical consistency coefficient K pl "That is, the power P of the yellowing machine" 实测 Actual consistency coefficient K pl If the power P' and the power P 实测 If they are different, then a new theoretical consistency coefficient K is selected within the stated numerical range. pl "To conduct analysis."

[0014] Preferably, the power P of the chloromatization machine at each time point during the chloromatization process is measured by repeating the above method. 实测 And obtain the actual consistency coefficient K at each time point. pl Establish motor power P 实测 and consistency coefficient K pl The relationship curve.

[0015] Preferably, it further includes the consistency coefficient K. pl A method for determining the apparent viscosity of a fluid material inside a xanthating machine, comprising the following steps:

[0016] Select a viscous model, specifically the Power-law model;

[0017] Obtain the structural parameters of the xanthation machine;

[0018] The consistency coefficient K was calculated. plAt that time, the corresponding driving torque T of the motor of the yellowing machine;

[0019] Based on the Power-law model, calculate the apparent viscosity η of the material. a ;

[0020] Establish motor power P 实测 With apparent viscosity η a The relationship curve is based on the motor power P. 实测 The apparent viscosity η of the material fluid inside the xanthation machine can be obtained directly. a .

[0021] Preferably, the power P is fitted using Matlab. 实测 and consistency coefficient K pl The relationship curve.

[0022] Preferably, the structural parameters include: inner diameter D of the stirring tank, diameter d of the ribbon agitator, power law exponent n of 0.1, ribbon blade width w, ribbon blade immersion height l, and number of ribbons Nr of the ribbon blade;

[0023] Calculate the apparent viscosity η of the material. a Use the following formula:

[0024]

[0025] Where, γ eff The shear rate is linearly related to the rotational speed N: γ eff =K s ·N;

[0026] K s Let be the Metzner constant, and its calculation formula is:

[0027]

[0028] S = D / d;

[0029] S e The calculation formula is as follows:

[0030]

[0031] Based on common knowledge in the field, the above-mentioned preferred conditions can be combined arbitrarily to obtain various preferred embodiments of the present invention.

[0032] The positive and progressive effects of this invention are as follows: The method of this invention is based on the measured power P of the xanthation machine. 实测 Inverse calculation to obtain the consistency coefficient K of the material fluid inside the xanthating machine plThis invention solves the problem of the xanthating machine being in a sealed state during operation, making it impossible for operators to directly measure the consistency coefficient of the material fluid inside the machine. By monitoring changes in the consistency coefficient of the material inside the drum, the quality of the material during the production process and the status of the agitator production process can be monitored in real time, providing the production data necessary for automated and even intelligent production. Attached Figure Description

[0033] Figure 1 This is a flowchart illustrating the process of obtaining the fluid consistency coefficient of the material inside the xanthating machine, as a preferred embodiment of the present invention.

[0034] Figure 2 This is a flowchart illustrating the process of obtaining the apparent viscosity of the material fluid inside the xanthation machine according to a preferred embodiment of the present invention.

[0035] Figure 3 The power P of the preferred embodiment of the present invention 实测 and consistency coefficient K pl The relationship curve.

[0036] Figure 4 This is a schematic diagram showing the variation of the numerical range of the consistency coefficient over time in a preferred embodiment of the present invention. Detailed Implementation

[0037] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit the present invention or its application or use. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0038] It should be noted that in the claims and specification of this patent, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one" does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0039] like Figure 1 As shown: This embodiment discloses a method for obtaining the consistency coefficient of the material fluid inside a xanthating machine, including the following steps:

[0040] A fluid-structure interaction CAE model with the same parameters as the actual xanthation machine was established to simulate the dynamic characteristics of the stirring system;

[0041] Step 101: Measure the power P of the chloromatization machine at a certain time point during the chloromatization process. 实测 ;

[0042] Step 102: Calculate the power P 实测 The numerical range of the consistency coefficient is given. Based on production process data and big data analysis, the normal numerical range (minK) of the real-time consistency coefficient during the yellowing cycle is presented. pl ~maxK pl ,like Figure 4 As shown, by real-time monitoring of power P 实测 The consistency coefficient K is obtained. pl and in minK pl ~maxK pl Changes in time enable process monitoring of product quality.

[0043] Step 103: Using finite element analysis, select the theoretical consistency coefficient K within the numerical range. pl Substituting the theoretical consistency coefficient K pl "Obtain the corresponding power P';

[0044] Specifically, this step involves substituting the values ​​into the fluid-structure interaction model to calculate the corresponding power P'.

[0045] Step 104: Compare power P' with power P 实测 The magnitude of power P' is related to the power P. 实测 If they are the same, then the theoretical consistency coefficient K pl "That is, the power P of the yellowing machine" 实测 Actual consistency coefficient K pl If power P' and power P 实测 If they are different, then a new theoretical consistency coefficient K is selected within the numerical range. pl "To conduct analysis."

[0046] Step 105: Repeat the above method to measure the power P of the chloromatization machine at each time point during the chloromatization process. 实测 And obtain the actual consistency coefficient K at each time point. pl Establish motor power P 实测 and consistency coefficient K pl The relationship curve was used to establish the power P of the chloromatization machine during one chloromatization cycle. 实测 With consistency coefficient K pl The mathematical relationship is further shown in this embodiment, where the power P is fitted using Matlab. 实测 and consistency coefficient K pl The relationship curve is as follows: Figure 3 As shown.

[0047] like Figure 2 As shown, this embodiment discloses a method based on the above-mentioned consistency coefficient K. pl The method for determining the apparent viscosity of the fluid material inside a xanthating machine includes the following steps:

[0048] Step 201: Select the viscous model, specifically the Power-law model;

[0049] Step 202: Obtain the structural parameters of the xanthation machine; the structural parameters include: inner diameter D of the mixing drum, diameter d of the ribbon agitator, power law exponent n of 0.1, ribbon blade width w, ribbon blade immersion height l, and number of ribbons N in the ribbon blade. r ;

[0050] Step 203: Calculate the consistency coefficient K pl At that time, the corresponding driving torque T of the motor of the yellowing machine is in N·m, where T=9550P / N, N is the motor speed in r / min, and P is the motor power in kWh.

[0051] Step 204: Calculate the apparent viscosity η of the material according to the Power-law model. a Furthermore, the calculation formula is as follows:

[0052]

[0053] Where, γ eff The shear rate is linearly related to the rotational speed N: γ eff =K s ·N;

[0054] K s Let be the Metzner constant, and its calculation formula is:

[0055]

[0056] S = D / d;

[0057] S e The calculation formula is as follows:

[0058]

[0059] Step 205: Establish motor power P 实测 With apparent viscosity η a The relationship curve is based on the motor power P. 实测 The apparent viscosity η of the material fluid inside the xanthating machine can be obtained directly. a .

[0060] Similarly, based on the motor power P 实测 It is also possible to establish the relationship between rotational speed N and torque T and apparent viscosity η. a The relationship curve shows that the apparent viscosity η of the material fluid inside the xanthating machine can be directly obtained from the rotational speed N and torque T. a .

[0061] The method of this invention is based on the measured power P of the xanthation machine. 实测 Inverse calculation to obtain the consistency coefficient K of the material fluid inside the xanthating machine pl This invention solves the problem of the xanthating machine being in a sealed state during operation, making it impossible for operators to directly measure the consistency coefficient of the material fluid inside the machine. By monitoring changes in the consistency coefficient of the material inside the drum, the quality of the material during the production process and the status of the agitator production process can be monitored in real time, providing the production data necessary for automated and even intelligent production.

Claims

1. A method for obtaining the consistency coefficient of a material fluid inside a xanthating machine, characterized in that, Includes the following steps: The power P of the chloromatization machine at a certain time point during the chloromatization process was measured. 实测 ; Obtain the power P 实测 The numerical range of the lower consistency coefficient; Using finite element analysis, a theoretical consistency coefficient K is selected within the specified numerical range. pl Substituting the theoretical consistency coefficient K... pl "Obtain the corresponding power P'; Compare the power P' with the power P 实测 The magnitude of the power P' is such that the power P' is equal to the power P'. 实测 If they are the same, then the theoretical consistency coefficient K pl "That is, the power P of the yellowing machine" 实测 Actual consistency coefficient K pl If the power P' and the power P 实测 If they are different, then a new theoretical consistency coefficient K is selected within the stated numerical range. pl "To conduct analysis; The power P of the chloromatization machine at various time points during the chloromatization process was measured by repeating the above method. 实测 And obtain the actual consistency coefficient K at each time point. pl Establish motor power P 实测 and consistency coefficient K pl Relationship curve; It also includes the consistency coefficient K. pl A method for determining the apparent viscosity of a fluid material inside a xanthating machine, comprising the following steps: Select a viscous model, specifically the Power-law model; Obtain the structural parameters of the xanthation machine; The consistency coefficient K was calculated. pl At that time, the corresponding driving torque T of the motor of the yellowing machine; Based on the Power-law model, calculate the apparent viscosity η of the material. a ; Establish motor power P 实测 With apparent viscosity η a The relationship curve is based on the motor power P. 实测 The apparent viscosity η of the material fluid inside the xanthating machine can be obtained directly. a .

2. The method as described in claim 1, characterized in that, Power P was fitted using Matlab 实测 and consistency coefficient K pl The relationship curve.

3. The method as described in claim 1, characterized in that, The structural parameters include: inner diameter D of the mixing tank, diameter d of the ribbon agitator, power law exponent n of 0.1, ribbon blade width w, ribbon blade immersion height l, and number of ribbon blades Nr. Calculate the apparent viscosity η of the material. a Use the following formula: Where, γ eff The shear rate is linearly related to the rotational speed N: γ eff =K s ·N; K s Let be the Metzner constant, and its calculation formula is: S = D / d; S e The calculation formula is as follows: 。

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