A method of predicting filter ventilation

Abstract

The application discloses a filter ventilation degree prediction method, which is a method for obtaining the raw and auxiliary material characteristics and cigarette specification data of a target cigarette, detecting the ventilation coefficient of a filter rod section, performing calculation, and finally obtaining the filter ventilation degree of a pre-perforated cigarette. The application can realize dynamic filter ventilation degree prediction of different specification pre-perforated cigarette products under different length conditions through calculation between cigarette parameters, thereby facilitating cigarette product design and avoiding blindness in cigarette design.

Description

Technical Field

[0001] This invention relates to the field of cigarette processing technology, specifically a method for predicting the airflow of pre-perforated cigarette filters at different lengths. Background Technology

[0002] The ventilation of the filter tip directly affects the physical and sensory quality of cigarettes, and is directly related to other physical indicators in cigarettes. It is one of the most important physical indicators in cigarettes. Therefore, the ability to predict the ventilation of the filter tip in advance is of great significance for cigarette design.

[0003] Existing technology allows for real-time online adjustment of filter ventilation in cigarette products with online perforation by varying perforation parameters, enabling sample production according to design requirements. However, for pre-perforated cigarettes, relevant parameters can only be measured after the cigarette production is complete, resulting in a certain lag in the design of this type of cigarette. Currently, there is no method for predicting the filter ventilation of this type of cigarette, making it necessary to establish a method for predicting filter ventilation. Summary of the Invention

[0004] The present invention addresses the shortcomings of the existing technology by proposing a method for predicting filter ventilation. This method aims to predict the filter ventilation of pre-perforated cigarette products of different specifications under different length conditions through basic detection and calculation of cigarette parameters, thereby facilitating cigarette product design and avoiding blind design.

[0005] To achieve the above-mentioned objectives, the present invention adopts the following technical solution:

[0006] The characteristic of the method for predicting the airflow of a filter tip according to the present invention is that it is carried out according to the following steps:

[0007] Step 1: Obtain the cigarette specifications and raw material characteristics of the target cigarette, including: cigarette circumference C, and filter rod length L before perforation. A The length L of the filter rod after perforation B The length L of the portion of the tobacco shreds covered by the tipping paper C Cigarette paper air permeability T, cigarette paper overlap width W, filter rod length l, filter rod pressure drop P;

[0008] Step 2: Attach the pre-perforated splicing paper to the finished filter rod and cut it to a length of L. A +L B The filter rod section is tested, and the ventilation degree V of the filter rod section is measured. The ventilation coefficient μ of the filter rod section is then calculated using equation (1):

[0009]

[0010] Step 3: Calculate the length L of one type of tobacco segment in the cigarette paper wrapping portion of the target cigarette according to formulas (2)-(4). D The following parameters are used to calculate the ventilation distribution coefficient α, suction resistance distribution coefficient β, and the constant t:

[0011]

[0012]

[0013]

[0014] In equation (2-4), π represents pi; γ and ε represent two calculation parameters for ventilation distribution, η and θ represent two calculation parameters for suction resistance distribution; K represents the tobacco permeability coefficient; and Q represents the airflow at the outlet in the ventilation testing standard.

[0015] Step 4: Calculate the length L of the target cigarette tobacco section according to formula (5). D Predicted airflow value V of the filter nozzle F :

[0016]

[0017] The present invention provides an electronic device, including a memory and a processor, wherein the memory is used to store a program that supports the processor in executing the prediction method, and the processor is configured to execute the program stored in the memory.

[0018] The present invention discloses a computer-readable storage medium on which a computer program is stored, wherein the computer program is executed by a processor to perform the steps of the prediction method.

[0019] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0020] 1. This invention establishes a predictive formula for filter nozzle ventilation, providing a basis for the rational design of cigarette structure, selection of cigarette materials, and parameter design, and realizing the predictability of filter nozzle ventilation design for cigarette products.

[0021] 2. The prediction method of the present invention can predict and design the filter ventilation of pre-perforated cigarettes with different cigarette circumferences and structures, and has a wide range of applications.

[0022] 3. The prediction method of the present invention can predict the filter ventilation of pre-perforated cigarettes at different lengths, that is, the dynamic filter ventilation prediction of cigarettes, which can guide related technical research. Attached Figure Description

[0023] Figure 1 This is a flowchart of the design process of the present invention;

[0024] Figure 2 This is a schematic diagram of a cigarette structure. Detailed Implementation

[0025] In this embodiment, a method for predicting filter ventilation is based on the physical quantitative relationship of the perforated portion of the cigarette filter, establishing a mathematical relationship to ultimately achieve the goal of predicting the ventilation of pre-perforated cigarette filters. Specifically, as follows... Figure 1 As shown, the procedure is as follows:

[0026] Step 1: Obtain the cigarette specifications and raw material characteristics of the target cigarette, including: cigarette circumference C, and the length L of the filter rod before perforation. A Length L of the perforated filter rod B The length L of the portion of the tobacco shreds covered by the tipping paper C Cigarette paper air permeability T, cigarette paper overlap width W, filter rod length l, and filter rod pressure drop P.

[0027] Cigarette structure such as Figure 2 As shown, section A is the filter rod before perforation, section B is the filter rod after perforation, section C is the section of tobacco covered by the tipping paper, and section D is the section of tobacco only wrapped by the cigarette paper.

[0028] Step 2: Manually attach the pre-perforated splicing paper to the finished filter rod, and cut it to a length of (L). A +L B The ventilation of the filter rod section is measured, and the ventilation coefficient of the filter rod ventilation section is calculated according to formula (1).

[0029]

[0030] In equation (1), μ represents the ventilation coefficient of the filter rod ventilation section, which is dimensionless; V represents the ventilation degree of the filter rod section, expressed as a percentage; L B Units are cm; filter rod pressure drop P, unit is kPa; filter rod length l, unit is cm.

[0031] Step 3: Calculate the ventilation distribution coefficient α, the suction resistance distribution coefficient β, and the calculation constant t of the target cigarette under different length conditions according to equations (2)-(4):

[0032]

[0033]

[0034]

[0035] In equation (2-4), L DThis refers to the length of a segment of tobacco shreds wrapped only in cigarette paper, measured in cm; π represents pi (the mathematical constant for a circle); L C The unit is cm; L D The units are cm; C is cm; W is cm; T is CU; the ventilation distribution coefficient α and the suction resistance distribution coefficient β are dimensionless; γ and ε represent two ventilation distribution calculation parameters, and η and θ represent two suction resistance distribution calculation parameters, which are dimensionless. These calculation coefficients are derived based on the principles of ventilation and suction resistance distribution in cigarettes. In this embodiment, γ is taken as... Values ​​of ε η is set to 12.56, and θ is set to 0.438. Q represents the outlet airflow rate in the ventilation test standard, in mL / s. In this embodiment, according to GB / T 22838.5-2009, Q is set to 17.5. K represents the tobacco permeability coefficient, in cm³. 2 / (KPa×second), in this embodiment, K is taken as 600 for prediction;

[0036] Step 4: Calculate the predicted filter ventilation of the target cigarette under different length conditions according to formula (5).

[0037]

[0038] In equation (5), V F The predicted result of filter ventilation is dimensionless and expressed as a percentage. It is based on the characteristic and principle that the filter ventilation coefficient μ in cigarettes remains stable, and is obtained by establishing a model based on the relationship between the physical parameters of cigarettes.

[0039] In this embodiment, an electronic device includes a memory and a processor. The memory stores a program that supports the processor in executing the above-described method, and the processor is configured to execute the program stored in the memory.

[0040] In this embodiment, a computer-readable storage medium stores a computer program, which is executed by a processor to perform the steps of the above method.

[0041] The present invention will be further described below with reference to embodiments.

[0042] Example 1: Taking the prediction of filter ventilation of a cigarette product with a specification of 84(25+59)mm×24.4mm as an example.

[0043] Step 1: Obtain the cigarette specifications and raw material characteristics of the target cigarette, as shown in Table 1:

[0044] Table 1 Cigarette Parameters

[0045] Cigarette specifications 84(25+59)mm×24.4mm C(cm) 2.44 W(cm) 0.2 <![CDATA[L A (cm)]]> 1.3 <![CDATA[L B (cm)]]> 1.2 <![CDATA[L C (cm)]]> 0.7 P(KPa) 4.45 l(cm) 10.0 T(CU) 60

[0046] Step 2: Manually attach the pre-perforated splicing paper to the finished filter rod, and cut it to a length of (L). A +L B The ventilation of the filter rod section with a diameter of 2.5 cm was tested, and the ventilation coefficient of the ventilation part of the filter rod was calculated according to formula (1). The results are shown in Table 2.

[0047] Table 2 Ventilation coefficient of filter rod ventilation section

[0048] Cigarette specifications 84(25+59)mm×24.4mm V 52.46％ μ 1.041185399

[0049] Step 3: Calculate the ventilation distribution coefficient α, the suction resistance distribution coefficient β, and the calculation constant t of the target cigarette under different length conditions according to equations (2)-(4). The results are shown in Table 3.

[0050] Table 3 Cigarette Parameters

[0051]

[0052] Step 4: Calculate the predicted filter ventilation under various length conditions of the target cigarette according to formula (5). The predicted results are compared with the measured results in Table 4. It can be seen that the maximum absolute error is 1.24%, the average absolute error is 0.87%, and the average relative error is 1.50%.

[0053] Table 4 Comparison of Measured Results and Predicted Results

[0054]

[0055] Example 2: Taking the prediction of filter ventilation of a cigarette product with a specification of 89(30+59)mm×20.0mm as an example.

[0056] Step 1: Obtain the cigarette specifications and raw material characteristics of the target cigarette, as shown in Table 5:

[0057] Table 5 Cigarette Parameters

[0058] Cigarette specifications 89(30+59)mm×20.0mm C(cm) 2.0 W(cm) 0.2 <![CDATA[L A (cm)]]> 1.25 <![CDATA[L B (cm)]]> 1.75 <![CDATA[L C (cm)]]> 0.5 P(KPa) 3.0 l(cm) 12.0 T(CU) 60

[0059] Step 2: Manually attach the pre-perforated splicing paper to the finished filter rod, and cut it to a length of (L). A +L B The ventilation of the filter rod section with a diameter of 3.0 cm was tested, and the ventilation coefficient of the filter rod ventilation section was calculated according to formula (1). The results are shown in Table 6.

[0060] Table 6. Ventilation coefficient of the filter rod ventilation section

[0061] Cigarette specifications 89(30+59)mm×20.0mm V 12.77％ μ 0.206713544

[0062] Step 3: Calculate the ventilation distribution coefficient α, the suction resistance distribution coefficient β, and the calculation constant t of the target cigarette under different length conditions according to equations (2)-(4). The results are shown in Table 7.

[0063] Table 7 Cigarette Parameters

[0064]

[0065] Step 4: Calculate the predicted filter ventilation under various length conditions of the target cigarette according to formula (5). The predicted results are compared with the measured results in Table 8. It can be seen that the maximum absolute error is 0.91%, the average absolute error is 0.73%, and the average relative error is 4.24%, indicating that the prediction results are relatively ideal.

[0066] Table 8 Comparison of Measured Results and Predicted Results

[0067]

[0068] Example 3: Taking the prediction of filter ventilation of a cigarette product with a specification of 97(30+67)mm×17.0mm as an example.

[0069] Step 1: Obtain the cigarette specifications and raw material characteristics of the target cigarette, as shown in Table 9:

[0070] Table 9 Cigarette Parameters

[0071] Cigarette specifications 97(30+67)mm×17.0mm C(cm) 1.7 W(cm) 0.2 <![CDATA[L A (cm)]]> 1.3 <![CDATA[L B (cm)]]> 1.7 <![CDATA[L C (cm)]]> 0.6 P(KPa) 3.4 l(cm) 12.0 T(CU) 70

[0072] Step 2: Manually attach the pre-perforated splicing paper to the finished filter rod, and cut it to a length of (L). A +L B The ventilation of the filter rod section with a diameter of 3.0 cm was tested, and the ventilation coefficient of the ventilation part of the filter rod was calculated according to formula (1). The results are shown in Table 10.

[0073] Table 10 Ventilation coefficient of filter rod ventilation section

[0074] Cigarette specifications 97(30+67)mm×17.0mm V 53.91％ μ 1.144175599

[0075] Step 3: Calculate the ventilation distribution coefficient α, the suction resistance distribution coefficient β, and the calculation constant t of the target cigarette under different length conditions according to equations (2)-(4). The results are shown in Table 11:

[0076] Table 11 Cigarette Parameters

[0077]

[0078] Step 4: Calculate the predicted filter ventilation under various length conditions of the target cigarette according to formula (5). The predicted results are compared with the measured results in Table 12. It can be seen that the maximum absolute error is 2.79%, the average absolute error is 2.18%, and the average relative error is 3.24%, indicating that the predicted results are relatively ideal.

[0079] Table 12 Comparison of Measured Results and Predicted Results

[0080]

[0081] As can be seen from the above embodiments, the method of the present invention can be used to obtain the prediction results of the filter ventilation of pre-perforated cigarettes of different specifications at different lengths, and the overall results are quite ideal.

Claims

1. A method for predicting the ventilation of a filter tip, characterized in that, The procedure is as follows: Step 1: Obtain the cigarette specifications and raw material characteristics of the target cigarette, including: cigarette circumference C, and filter rod length L before perforation. A The length L of the filter rod after perforation B The length L of the portion of the tobacco shreds covered by the tipping paper C Cigarette paper air permeability T, cigarette paper overlap width W, filter rod length l, filter rod pressure drop P; Step 2: Attach the pre-perforated splicing paper to the finished filter rod and cut it to a length of L. A +L B The filter rod section is measured, and the ventilation degree V of the filter rod section is detected, thereby calculating the ventilation coefficient μ of the filter rod section using equation (1): Step 3: Calculate the length L of one type of tobacco segment in the cigarette paper wrapping portion of the target cigarette according to formulas (2)-(4). D The following parameters are used to calculate the ventilation distribution coefficient α, suction resistance distribution coefficient β, and the constant t: In equation (2-4), π represents pi; γ and ε represent two calculation parameters for ventilation distribution, η and θ represent two calculation parameters for suction resistance distribution; K represents the tobacco permeability coefficient; and Q represents the airflow at the outlet in the ventilation testing standard. Step 4: Calculate the length L of the target cigarette tobacco section according to formula (5). D Predicted airflow value V of the filter nozzle F : 。 2. An electronic device, comprising a memory and a processor, characterized in that, The memory is used to store a program that supports the processor in executing the prediction method of claim 1, the processor being configured to execute the program stored in the memory.

3. A computer-readable storage medium storing a computer program, characterized in that, The computer program is executed by the processor to perform the steps of the prediction method of claim 1.

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