CN115060637B - Method for predicting smoke resistance of multi-element filter stick cigarette product - Google Patents
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- 235000019504 cigarettes Nutrition 0.000 title claims abstract description 153
- 238000000034 method Methods 0.000 title claims abstract description 16
- 239000000779 smoke Substances 0.000 title claims description 37
- 241000208125 Nicotiana Species 0.000 claims abstract description 39
- 235000002637 Nicotiana tabacum Nutrition 0.000 claims abstract description 39
- 238000009423 ventilation Methods 0.000 claims abstract description 21
- 230000035699 permeability Effects 0.000 claims abstract description 18
- 238000004364 calculation method Methods 0.000 claims abstract description 14
- 230000000391 smoking effect Effects 0.000 claims abstract description 12
- 239000000463 material Substances 0.000 claims abstract description 11
- 238000009826 distribution Methods 0.000 claims description 19
- 238000004080 punching Methods 0.000 claims description 6
- 238000001514 detection method Methods 0.000 claims description 5
- NAWXUBYGYWOOIX-SFHVURJKSA-N (2s)-2-[[4-[2-(2,4-diaminoquinazolin-6-yl)ethyl]benzoyl]amino]-4-methylidenepentanedioic acid Chemical compound C1=CC2=NC(N)=NC(N)=C2C=C1CCC1=CC=C(C(=O)N[C@@H](CC(=C)C(O)=O)C(O)=O)C=C1 NAWXUBYGYWOOIX-SFHVURJKSA-N 0.000 claims description 3
- 238000013461 design Methods 0.000 abstract description 8
- 238000010276 construction Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 201000004569 Blindness Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013329 compounding Methods 0.000 description 1
- 238000013499 data model Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
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- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/08—Investigating permeability, pore-volume, or surface area of porous materials
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Abstract
The invention discloses a method for predicting the smoking resistance of a multi-element filter rod cigarette product, which is a method for obtaining the smoking resistance prediction result of the multi-element filter rod cigarette product by taking the ventilation degree of a filter tip as a variable after acquiring the original and auxiliary material characteristics and the cigarette specification data of a target cigarette and calculating the tobacco permeability coefficients of different tobacco types. According to the invention, the smoking resistance prediction of the multi-element filter stick cigarette products with different specifications can be realized through the calculation among the cigarette parameters, so that the design of the cigarette products is facilitated.
Description
Technical Field
The invention relates to the technical field of cigarette processing, in particular to a method for predicting the smoke resistance of a multi-element filter rod cigarette product.
Background
The cigarette resistance is the cigarette characteristic which can be most directly perceived by a consumer when smoking, and can directly influence the physical quality and the sensory quality of the cigarette. Therefore, the research on the relation between each physical index of the cigarette and the original and auxiliary materials realizes the early prediction of the cigarette smoke resistance and has important significance for the design of cigarettes.
In the prior art, the measurement of related parameters can be carried out after tobacco shreds and filter sticks are produced, certain hysteresis exists for cigarette design, other methods for predicting cigarette smoking resistance only carry out regression modeling on a single cigarette brand, and when the cigarette specification and the characteristics of raw materials and auxiliary materials are changed, the application range of the model has certain limitation. CN 109813646B discloses a method for predicting cigarette smoke resistance, the method does not consider the influence of the air permeability and punching position of the cigarette paper on the cigarette smoke resistance, and has a certain applicable limitation on the smoke resistance prediction of multi-element filter stick products, but in recent years, with the enhancement of the innovation of cigarettes, the number of binary filter sticks and ternary filter stick cigarette products is increased gradually, so that it is necessary to establish a prediction method of the smoke resistance of the multi-element filter stick cigarette products.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a method for predicting the smoking resistance of a multi-element filter stick cigarette product, so that the smoking resistance prediction of the multi-element filter stick cigarette product with different specifications can be realized through calculation among cigarette parameters, thereby facilitating the design of the cigarette product and avoiding the blindness problem of the design of the cigarette.
In order to achieve the aim of the invention, the invention adopts the following technical scheme:
The invention relates to a prediction method of the smoke resistance of a multi-element filter stick cigarette product, which is characterized by comprising the following steps:
Step 1, obtaining raw and auxiliary material characteristics and cigarette specification data of a target cigarette, wherein the step comprises the following steps: the tobacco shred filling value rho, the net tobacco shred content M of cigarettes, the cigarette circumference C, the tobacco shred section length L D of the wrapping part of the cigarette paper only, the length L C of the wrapping part of the tipping paper covering the tobacco shred section, the air permeability A P of the cigarette paper, the length L A of a punching position from a mouth end, the lap width W of the cigarette paper, the length L 2 of a filter rod at the end, the length L 1 of the filter rod at the mouth end, the length L 3 of the filter rod at the middle section, the length L 2 of the filter rod at the end, the pressure drop P 2 of the filter rod at the end, the length L 1 of the filter rod at the end, the pressure drop P 1 of the filter rod at the end, the length L 3 of a base rod at the middle section and the pressure drop P 3 of the base rod at the middle section;
step 2, calculating tobacco shred permeability coefficients K of different tobacco shred types according to a formula (1);
In the formula (1), a and b represent two permeability calculation parameters;
Step 3, calculating a ventilation distribution coefficient alpha and a suction resistance distribution coefficient beta of the target cigarette according to the formula (2) and the formula (3) respectively:
In the formulas (2) and (3), pi represents a circumference ratio; gamma and epsilon represent two ventilation distribution calculation parameters, eta and theta represent two suction resistance distribution calculation parameters;
Step 4, obtaining a prediction result of cigarette suction resistance under different filter tip ventilation conditions;
A. When the target cigarette is a binary filter stick product and L A<l1 is adopted, the predicted cigarette smoke resistance delta P is obtained according to the formula (4):
In the formula (4), V F represents a filter ventilation rate; q represents the air flow of the outlet end in the suction resistance detection, and lambda represents the suction resistance calculation parameter;
B. when the target cigarette is a binary filter stick product and L A＝l1 is adopted, the predicted cigarette smoke resistance delta P is obtained according to the formula (5):
C. when the target cigarette is a binary filter stick product and L A>l1 is adopted, the predicted cigarette smoke resistance delta P is obtained according to the formula (6):
In the formula (6), L B represents the length of the filter rod after the tipping paper is punched;
D. when the target cigarette is a ternary filter rod product and L A<l1 is adopted, the predicted cigarette smoke resistance delta P is obtained according to the formula (7):
E. when the target cigarette is a ternary filter rod product and L A＝l1 is adopted, the predicted cigarette smoke resistance delta P is obtained according to the formula (8):
F. When the target cigarette is a ternary filter rod product and l 1<LA<(l1+l3), obtaining predicted cigarette smoke resistance delta P according to the formula (9):
G. When the target cigarette is a ternary filter rod product and L A＝(l1+l3), obtaining predicted cigarette smoke resistance delta P according to a formula (10):
H. When the target cigarette is a ternary filter rod product and L A>(l1+l3), obtaining predicted cigarette smoke resistance delta P according to the formula (11):
Compared with the prior art, the invention has the beneficial effects that:
1. The prediction method establishes a relation model between cigarette parameters and smoking resistance by taking the ventilation degree of the filter tip as a variable, provides a basis for reasonably designing a cigarette structure, selecting cigarette materials and designing parameters, and realizes the predictability of the design of a multi-element filter stick cigarette product. Secondly, when the physical index of the cigarettes in actual production is problematic, the problem causes can be clarified according to the model, and the direction is indicated for quality improvement, so that the product quality can be continuously improved.
2. The prediction method can realize the design work of multi-element filter stick cigarette products with different cigarette circumferences and structural specifications, and has wide application range.
Drawings
FIG. 1 is a block diagram of a design flow of the present invention;
FIG. 2 is a schematic illustration of the construction of a dual filter rod cigarette product of the present invention;
Fig. 3 is a schematic diagram of the construction of a ternary filter rod cigarette product of the present invention.
Detailed Description
In this embodiment, the filter rod section part of the multi-element filter rod cigarette product is formed by compounding two or three different base rods, wherein the structure of the binary filter rod cigarette product is shown in fig. 2, and the structure of the ternary filter rod cigarette product is shown in fig. 3; the method for predicting the smoking resistance of the multi-element filter stick cigarette product is based on the relation between the structure and the physical parameters of the multi-element filter stick cigarette product, establishes mathematical relation expression, and finally achieves the aim of predicting the smoking resistance of the multi-element filter stick cigarette product, and is specifically shown in figure 1, and is characterized by comprising the following steps:
Step 1, obtaining raw and auxiliary material characteristics and cigarette specification data of a target cigarette, wherein the step comprises the following steps: tobacco shred filling value rho, tobacco net cut tobacco content M, cigarette circumference C, cut tobacco section length L D of only a cigarette paper wrapping part, length L C of a tipping paper covering cut tobacco section part, filter rod section length, tipping paper length, cigarette paper air permeability A P, length L A of a punching position from a mouth end, cigarette paper overlap width W, cut end filter rod length L 2, filter rod length L 1 of a mouth end, filter rod length L 3 of a middle section, end rod length L 2, end rod pressure drop P 2 of a cut end rod, end rod length L 1 of a mouth end rod pressure drop P 1 of a middle section base rod length L 3 and base rod pressure drop P 3 of a middle section;
step 2, calculating tobacco shred permeability coefficients K of different tobacco shred types according to a formula (1);
In the formula (1), the K unit is cm 2/(KPa×sec); m is mg/branch; l C represents the length of the cut tobacco section covered by tipping paper of the target cigarette, and the unit is cm; l D units are cm; the unit of C is cm; the ρ unit is cm 3/g. a, b represent two permeability calculation parameters.
The size of the tobacco shred permeability coefficient K directly influences the physical parameters of cigarettes, and has important influence on the smoking resistance and the ventilation of cigarettes. The formula (1) and the formula (2) are obtained by researching a large number of tobacco shred permeability coefficients K, the net shred content, the filling value and the tobacco shred section volume detection results of different types and different specifications of cigarette tobacco shred sections according to the basic principle that the net shred content M and the tobacco shred permeability coefficients K are in negative correlation. In the embodiment, when the tobacco shred type of the target cigarette is flue-cured tobacco shred, the value of a is 1980.9, and the value of b is 17.4; when the tobacco shred type of the target cigarette is mixed tobacco shred, the value of a is 2183.1, and the value of b is 20.5.
Step 3, calculating a ventilation distribution coefficient alpha and a suction resistance distribution coefficient beta of the target cigarette according to the formula (2) and the formula (3) respectively:
in the formulas (2) and (3), pi represents the circumference ratio; a P units are CU; w is in cm. The ventilation distribution coefficient alpha and the suction resistance distribution coefficient beta are dimensionless; gamma and epsilon represent two ventilation distribution calculation parameters, eta and theta represent two suction resistance distribution calculation parameters, and dimensionless. The two coefficients are derived based on the principles of ventilation and resistance distribution in the cigarette, in this embodiment, gamma takes on Epsilon value/>Η is 12.56 and θ is 0.438.
Step 4, obtaining a prediction result of cigarette suction resistance under different filter tip ventilation conditions;
A. When the target cigarette is a binary filter stick product and L A<l1 is adopted, the predicted cigarette smoke resistance delta P is obtained according to the formula (4):
in the formula (4), δP is KPa; p 1 units are KPa; l 1 units are cm; l A units are cm; l 1 units are cm; p 2 units are KPa; l 2 units are cm; l 2 units are cm; v F represents the filter ventilation, dimensionless, generally expressed in percent; q represents the air flow rate of an outlet end in a suction resistance detection standard table, the unit is mL/second, and in the embodiment, the Q takes a value of 17.5 according to GB/T22838.5-2009 standard; λ represents the calculation parameter of the resistance, and in this embodiment, λ takes the value of 70 pi.
B. when the target cigarette is a binary filter stick product and L A＝l1 is adopted, the predicted cigarette smoke resistance delta P is obtained according to the formula (5):
C. when the target cigarette is a binary filter stick product and L A>l1 is adopted, the predicted cigarette smoke resistance delta P is obtained according to the formula (6):
In the formula (6), L B represents the length of the filter rod after the tipping paper is perforated, and the unit is cm;
D. when the target cigarette is a ternary filter rod product and L A<l1 is adopted, the predicted cigarette smoke resistance delta P is obtained according to the formula (7):
In the formula (7), P 3 units are KPa; l 3 units are cm; l 3 units are cm;
E. when the target cigarette is a ternary filter rod product and L A＝l1 is adopted, the predicted cigarette smoke resistance delta P is obtained according to the formula (8):
F. When the target cigarette is a ternary filter rod product and l 1<LA<(l1+l3), obtaining predicted cigarette smoke resistance delta P according to the formula (9):
G. When the target cigarette is a ternary filter rod product and L A＝(l1+l3), obtaining predicted cigarette smoke resistance delta P according to a formula (10):
H. When the target cigarette is a ternary filter rod product and L A>(l1+l3), obtaining predicted cigarette smoke resistance delta P according to the formula (11):
the formulas (5-11) are obtained by respectively establishing a data model according to the structural parameters and the perforation position changes of the multi-element filter stick cigarette product based on the concept and the detection principle of main parameters in the cigarette.
The invention is further described below in connection with the examples.
Example 1, taking 97 (30+67) mm multiplied by 17mm of certain flue-cured tobacco shred, the prediction of the smoke resistance of a binary filter rod cigarette product as an example.
Step 1, obtaining raw and auxiliary material characteristics of cigarettes and cigarette specification data, wherein the raw and auxiliary material characteristics and the cigarette specification data are shown in table 1:
table 1 cigarette parameters
| Cigarette specification | 97(30+67)mm×17mm |
| Cigarette circumference (cm) | 1.7 |
| Length of cut tobacco section (cm) | 6.7 |
| Length of filter stick section (cm) | 3.0 |
| Tipping paper length (cm) | 3.6 |
| Distance (cm) between punching position and mouth end | 1.2 |
| Cigarette paper lap width (cm) | 0.2 |
| LA(cm) | 1.2 |
| LB(cm) | 1.8 |
| LC(cm) | 0.6 |
| LD(cm) | 6.1 |
| P1(KPa) | 3.7 |
| L1(cm) | 12.0 |
| l1(cm) | 1.0 |
| P2(KPa) | 4.1 |
| L2(cm) | 12.0 |
| l2(cm) | 2.0 |
| Cigarette paper air permeability (CU) | 70 |
| Filling value (cm 3/g) | 4.41 |
| Net silk content (mg/count) | 350 |
And 2, calculating the permeability coefficient of tobacco shreds, wherein the specification is flue-cured tobacco, so that K= 593.88cm 2/(KPa×sec) can be calculated according to the formula (1).
Step 3, calculating ventilation degree distribution coefficients and suction resistance distribution coefficients according to the formula (2) and the formula (3) to obtain alpha=0.2477; beta= 0.0482.
And 4, calculating cigarette smoke resistance under different filter tip ventilation degrees according to the formula (6) by virtue of L A＝1.2cm,l1＝1.0cm,LA>l1, wherein the predicted result and the actually measured result are compared with each other in the table 2. It can be seen that the maximum error of the suction resistance is 0.049KPa, the average absolute error is 0.026KPa, the average relative error is 2.23%, and the prediction result is ideal.
Table 2 comparison of measured results with predicted results
Example 2, consider the case of a cigarette product with a three-element filter rod, predicted by 89 (30+59) mm by 20mm of a certain blend cut tobacco.
Step 1, obtaining raw and auxiliary material characteristics of cigarettes and cigarette specification data, wherein the raw and auxiliary material characteristics and the cigarette specification data are shown in table 3:
Table 3 cigarette parameters
| Cigarette specification | 89(30+59)mm×20mm |
| Cigarette circumference (cm) | 2.0 |
| Length of cut tobacco section (cm) | 5.9 |
| Length of filter stick section (cm) | 3.0 |
| Tipping paper length (cm) | 3.5 |
| Distance (cm) between punching position and mouth end | 1.2 |
| Cigarette paper lap width (cm) | 0.2 |
| LA(cm) | 1.3 |
| LB(cm) | 1.7 |
| LC(cm) | 0.5 |
| LD(cm) | 5.4 |
| P1(KPa) | 3.5 |
| L1(cm) | 10.0 |
| l1(cm) | 1.0 |
| P2(KPa) | 4.0 |
| L2(cm) | 12.0 |
| l2(cm) | 1.5 |
| P3(KPa) | 1.0 |
| L3(cm) | 10.0 |
| l3(cm) | 0.5 |
| Cigarette paper air permeability (CU) | 60 |
| Filling value (cm 3/g) | 4.51 |
| Net silk content (mg/count) | 415 |
And 2, calculating the tobacco shred permeability coefficient, wherein the specification is mixed, so that K= 557.30cm 2/(KPa×sec) is calculated according to the formula (1).
Step 3, calculating ventilation degree distribution coefficients and suction resistance distribution coefficients according to the formula (2) and the formula (3) to obtain alpha= 0.1515; beta= 0.0319.
And 4, calculating cigarette smoke resistance under different filter tip ventilation degrees according to the formula (9) of LA＝1.3cm,l1＝1.0cm,l3＝0.5cm,l1<LA<(l1+l3),, and comparing the predicted result with the actual measurement result to obtain a table 4. It can be seen that the maximum error of the suction resistance is 0.045KPa, the average absolute error is 0.025KPa, the average relative error is 2.51%, and the prediction result is ideal.
Table 4 comparison of measured results with predicted results
According to the embodiment, the method can be used for obtaining the predicted result of the smoke resistance of the multi-element filter rod cigarette product, and the overall result is ideal.
Claims (1)
1. A method for predicting the smoking resistance of a multi-element filter stick cigarette product is characterized by comprising the following steps:
Step 1, obtaining raw and auxiliary material characteristics and cigarette specification data of a target cigarette, wherein the step comprises the following steps: the tobacco shred filling value rho, the net tobacco shred content M of cigarettes, the cigarette circumference C, the tobacco shred section length L D of the wrapping part of the cigarette paper only, the length L C of the wrapping part of the tipping paper covering the tobacco shred section, the air permeability A P of the cigarette paper, the length L A of a punching position from a mouth end, the lap width W of the cigarette paper, the length L 2 of a filter rod at the end, the length L 1 of the filter rod at the mouth end, the length L 3 of the filter rod at the middle section, the length L 2 of the filter rod at the end, the pressure drop P 2 of the filter rod at the end, the length L 1 of the filter rod at the end, the pressure drop P 1 of the filter rod at the end, the length L 3 of a base rod at the middle section and the pressure drop P 3 of the base rod at the middle section;
step 2, calculating tobacco shred permeability coefficients K of different tobacco shred types according to a formula (1);
In the formula (1), a and b represent two permeability calculation parameters;
Step 3, calculating a ventilation distribution coefficient alpha and a suction resistance distribution coefficient beta of the target cigarette according to the formula (2) and the formula (3) respectively:
In the formulas (2) and (3), pi represents a circumference ratio; gamma and epsilon represent two ventilation distribution calculation parameters, eta and theta represent two suction resistance distribution calculation parameters;
Step 4, obtaining a prediction result of cigarette suction resistance under different filter tip ventilation conditions;
A. When the target cigarette is a binary filter stick product and L A<l1 is adopted, the predicted cigarette smoke resistance delta P is obtained according to the formula (4):
In the formula (4), V F represents a filter ventilation rate; q represents the air flow of the outlet end in the suction resistance detection, and lambda represents the suction resistance calculation parameter;
B. when the target cigarette is a binary filter stick product and L A＝l1 is adopted, the predicted cigarette smoke resistance delta P is obtained according to the formula (5):
C. when the target cigarette is a binary filter stick product and L A>l1 is adopted, the predicted cigarette smoke resistance delta P is obtained according to the formula (6):
In the formula (6), L B represents the length of the filter rod after the tipping paper is punched;
D. when the target cigarette is a ternary filter rod product and L A<l1 is adopted, the predicted cigarette smoke resistance delta P is obtained according to the formula (7):
E. when the target cigarette is a ternary filter rod product and L A＝l1 is adopted, the predicted cigarette smoke resistance delta P is obtained according to the formula (8):
F. When the target cigarette is a ternary filter rod product and l 1<LA<(l1+l3), obtaining predicted cigarette smoke resistance delta P according to the formula (9):
G. When the target cigarette is a ternary filter rod product and L A＝(l1+l3), obtaining predicted cigarette smoke resistance delta P according to a formula (10):
H. When the target cigarette is a ternary filter rod product and L A>(l1+l3), obtaining predicted cigarette smoke resistance delta P according to the formula (11):
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