CN109918847A - The hydraulic pressing method of camellia oil based on response phase method and multi-objective genetic algorithm - Google Patents
The hydraulic pressing method of camellia oil based on response phase method and multi-objective genetic algorithm Download PDFInfo
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Abstract
The invention belongs to plant oil extract correlative technology fields, it discloses a kind of hydraulic pressing methods of the camellia oil based on response phase method and multi-objective genetic algorithm, method includes the following steps: (1), which successively changes pressing temperature, squeezing time, squeeze pressure and camellia seed water content, carries out single factor experiment to camellia seed sample；(2) using pressing temperature, squeeze pressure, squeezing time and camellia seed water content as independent variable, polynary quadratic regression equation is established as response using oil yield and energy consumption respectively；And analyzed according to the polynary quadratic regression equation established to obtain response surface figure, then confirm best pressing temperature, best squeezing time, best squeeze pressure and best camellia seed water content；(3) hydraulic squeezing is carried out to the camellia seed that water content is the best camellia seed water content under optimum temperature and pressure, wherein a length of best squeezing time when squeezing.Present invention reduces costs, improve oil yield, and flexibility is preferable, with strong applicability.
Description
Technical field
The invention belongs to plant oil extract correlative technology fields, are based on response phase method and more mesh more particularly, to one kind
Mark the hydraulic pressing method of camellia oil of genetic algorithm.
Background technique
Camellia oil is the distinctive woody grease in China, fatty acid composition and the best vegetable fat generally acknowledged in the world
Olive oil is similar, there is the laudatory title of " east olive oil ".Also contain in tea oil there are many trophic function ingredient, has prevention cardiovascular
Hardening, lowering blood pressure and blood fat and other effects.
In industrial production, the preparation method of grease mainly has squeezing method and lixiviation process.Lixiviation process oil yield is higher, but
The defects of influencing oil quality out due to solvent contamination and increase the cost of subsequent removal residual solvent, limit application.
Hydraulic the obtained crude oil impurity of squeezing method is less, lighter color, oil product are high and easy to operate, the Oil-tea-cake or Extracted From Oil-tea-cake of acquisition
It can also recycle, therefore hydraulic squeezing process is the prevailing technology of camellia oil extract preparation now, especially in tea seed producing region
Southern area of China be often used.
In addition, relevant technical staff in the field has done some researchs, such as application No. is 201610115861.3 Hes
The patent of 201610794976.X has the hydraulic pressing method of open camellia oil, and obtain color is light, smell is pure,
The splendid camellia oil of quality.But the problem that the generally existing oil yield of hydraulic squeezing is lower, processing conditions such as pressing temperature, pressure
Squeeze power, squeezing time and tea seed water content be influence the principal element of oil yield, and camellia oil hydraulic squeezing at present plus
The selection of work condition often relies on experience, lacks the quantitative analysis for influencing oil yield on squeezing processing conditions, can not obtain mountain
The optimal processing parameter of tea oil squeezing, inappropriate technological parameter will lead to lower oil productivity, while will cause more multiple-energy-source
Consumption, increases production cost, is unfavorable for sustainable production.Correspondingly, this field is higher there is a kind of oil productivity is developed
The technical need of the hydraulic pressing method of camellia oil based on response phase method and multi-objective genetic algorithm.
Summary of the invention
Aiming at the above defects or improvement requirements of the prior art, the present invention provides one kind to be based on response phase method and more mesh
The characteristics of hydraulic pressing method of camellia oil for marking genetic algorithm, pressing method hydraulic based on existing camellia oil, for camellia oil
Hydraulic pressing method study and has been designed.The hydraulic pressing method is using oil yield and energy consumption as index, using response surface
Method optimizes the hydraulic squeezing process of camellia oil, solve to a certain extent camellia oil hydraulic squeezing oil yield is lower, energy consumption compared with
High problem, improves oil yield, reduces processing cost.
To achieve the above object, according to one aspect of the present invention, one kind is provided to lose based on response phase method and multiple target
The hydraulic pressing method of the camellia oil of propagation algorithm, method includes the following steps:
(1) successively change pressing temperature, squeezing time, squeeze pressure and camellia seed water content to carry out camellia seed sample
Single factor experiment, when obtaining the oil yield under different pressing temperatures and squeeze the energy consumption of unit mass camellia seed, different squeezings
Between under oil yield and squeeze energy consumption, the oil yield under different squeeze pressure and the squeezing unit mass of unit mass camellia seed
The energy consumption of the energy consumption of camellia seed and oil yield and squeezing unit mass camellia seed under different camellia seed water content；
(2) experimental design is carried out according to obtained result, wherein with pressing temperature, squeeze pressure, squeezing time and mountain
Tea seed water content is independent variable, establishes polynary quadratic regression equation respectively as response using oil yield and energy consumption；Based on what is obtained
The polynary quadratic regression equation, by maximum oil yield and least energy consumption into as multi-objective optimization question to carry out multiple target
Search thereby determines that best pressing temperature, best squeezing time, best squeeze pressure and best camellia seed water content；
(3) under the best pressing temperature, use the best squeeze pressure to water content for the best camellia seed
The camellia seed of water content carries out hydraulic squeezing, wherein a length of best squeezing time when squeezing.
Further, the polynary quadratic regression equation established in step (2) is respectively as follows:
Y1=-4.85089+0.296045A+0.93585B+0.895394C+2.03717D+0.001271AB -
0.00265AC- 0.014815AD-0.000352BC-0.034476BD+0.019074CD-0.001419A2-0.012569B2-
0.012335C2- 0.198292D2；
Y2=0.89576-0.012427A-0.019977B-0.024061C-0.078933D+0.000054 AB+
0.000553AC +0.000314BC-0.000578BD+0.000911CD+0.000074A2+0.00026B2-0.000036C2+
0.004639D2；
In formula, A is pressing temperature；B is squeeze pressure；C is the squeezing time；D is camellia seed water content；Response Y1、Y2
Respectively oil yield and energy consumption.
Further, the mathematic(al) representation of the multi-objective optimization question are as follows:
Min F (x)=(f1(x), f2(x))
In formula, f1(x) and f2(x) the polynary quadratic regression side for respectively indicating energy consumption and oil yield, and being respectively adopted
Journey indicates, xiIt is i-th of factor, xi lIt is the value lower limit of i-th of factor, xi uIt is the value upper limit of i-th factor, wherein
x1Indicate pressing temperature A；x2Indicate squeeze pressure B；x3Indicate squeezing time C；x4Indicate camellia seed water content D.
Further, the best pressing temperature is 40 DEG C~85 DEG C.
Further, the pressing temperature is 40.16 DEG C；The squeeze pressure is 44MPa；The squeezing time is
39.9min；The camellia seed water content is 0.06%.
Further, the best squeeze pressure is 10MPa~35MPa.
Further, the pressing temperature is 40 DEG C；The squeeze pressure is 44.9MPa；The squeezing time is
39.9min；The camellia seed water content is 0.02%.
Further, the best camellia seed water content is less than or equal to 2.5%.
It further, further include the preparation of camellia seed sample before step (1), the preparation of camellia seed sample includes following
Step: first camellia seed is dried to after moisture content is 0~9% at 60 DEG C and is peeled off；Again by the tea seed episperm peeled off and tea seed
Benevolence is uniformly mixed according to predetermined mass ratio to obtain mixing；Then, the mixing of predetermined quality is weighed as camellia seed sample.
Further, the predetermined mass ratio is 12.5:87.5.
In general, through the invention it is contemplated above technical scheme is compared with the prior art, base provided by the invention
It is mainly had the advantages that in the hydraulic pressing method of the camellia oil of response phase method and multi-objective genetic algorithm
1. the present invention is based on response phase method and multi-objective genetic algorithms to carry out experimental design, from the angle of quantization and visual
The angle of change intuitively discloses different working conditions and its interaction to the effect tendency of oil yield and energy consumption, is best
Processing conditions selection provides technical support, is then analyzed according to obtained response surface result figure and obtains optimal technique item
Part.
2. the present invention considers two important indexs of oil yield and energy consumption in actual production simultaneously, camellia is obtained
Oily best squeezing process parameter improves oil yield while guaranteeing oil quality out, reduces energy consumption, promotes camellia oil
Sustainable production, with industrialized production directive significance.
3. the simple process of the hydraulic pressing method, easy to implement, with strong applicability, flexibility is preferable.
4. present invention obtains squeezing time, pressing temperature, squeeze pressure and camellia seed water content and oil yield and energy consumptions
Between relational expression, strong data can be provided and supported for subsequent research and practical application, be conducive to promote and apply.
Detailed description of the invention
Fig. 1 is the hydraulic pressing method of the camellia oil based on response phase method and multi-objective genetic algorithm provided by the invention
Flow diagram；
Fig. 2 is obtained using the hydraulic pressing method of the camellia oil based on response phase method and multi-objective genetic algorithm in Fig. 1
Pressing temperature and influence response surface figure of the squeezing time to oil yield；
Fig. 3 is obtained using the hydraulic pressing method of the camellia oil based on response phase method and multi-objective genetic algorithm in Fig. 1
Influence response surface figure to oil yield of pressing temperature and squeeze pressure；
Fig. 4 is obtained using the hydraulic pressing method of the camellia oil based on response phase method and multi-objective genetic algorithm in Fig. 1
Influence response surface figure to oil yield of pressing temperature and moisture content；
Fig. 5 is obtained using the hydraulic pressing method of the camellia oil based on response phase method and multi-objective genetic algorithm in Fig. 1
Influence response surface figure of the squeezing time and squeeze pressure to oil yield；
Fig. 6 is obtained using the hydraulic pressing method of the camellia oil based on response phase method and multi-objective genetic algorithm in Fig. 1
Influence response surface figure of the squeezing time and moisture content to oil yield；
Fig. 7 is obtained using the hydraulic pressing method of the camellia oil based on response phase method and multi-objective genetic algorithm in Fig. 1
Influence response surface figure to oil yield of squeeze pressure and moisture content；
Fig. 8 is obtained using the hydraulic pressing method of the camellia oil based on response phase method and multi-objective genetic algorithm in Fig. 1
Influence response surface figure to energy consumption of pressing temperature and squeeze pressure；
Fig. 9 is obtained using the hydraulic pressing method of the camellia oil based on response phase method and multi-objective genetic algorithm in Fig. 1
Pressing temperature and influence response surface figure of the squeezing time to energy consumption；
Figure 10 is obtained using the hydraulic pressing method of the camellia oil based on response phase method and multi-objective genetic algorithm in Fig. 1
Influence response surface figure of the pressing temperature and moisture content obtained to energy consumption；
Figure 11 is obtained using the hydraulic pressing method of the camellia oil based on response phase method and multi-objective genetic algorithm in Fig. 1
Influence response surface figure of the squeezing time and squeeze pressure obtained to energy consumption；
Figure 12 is obtained using the hydraulic pressing method of the camellia oil based on response phase method and multi-objective genetic algorithm in Fig. 1
Influence response surface figure of the squeeze pressure and moisture content obtained to energy consumption；
Figure 13 is obtained using the hydraulic pressing method of the camellia oil based on response phase method and multi-objective genetic algorithm in Fig. 1
Influence response surface figure of the moisture content and squeezing time obtained to energy consumption；
Figure 14 is obtained using the hydraulic pressing method of the camellia oil based on response phase method and multi-objective genetic algorithm in Fig. 1
Influence schematic diagram of the pressing temperature obtained to oil yield and energy consumption；
Figure 15 is obtained using the hydraulic pressing method of the camellia oil based on response phase method and multi-objective genetic algorithm in Fig. 1
Influence schematic diagram of the squeeze pressure obtained to oil yield and energy consumption；
Figure 16 is obtained using the hydraulic pressing method of the camellia oil based on response phase method and multi-objective genetic algorithm in Fig. 1
Influence schematic diagram of the squeezing time obtained to oil yield and energy consumption；
Figure 17 is obtained using the hydraulic pressing method of the camellia oil based on response phase method and multi-objective genetic algorithm in Fig. 1
Influence schematic diagram of the moisture content obtained to oil yield and energy consumption.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments,
The present invention will be described in further detail.It should be appreciated that specific embodiment described herein is only used to explain this hair
It is bright, it is not intended to limit the present invention.In addition, technology involved in the various embodiments of the present invention described below is special
Sign can be combined with each other as long as they do not conflict with each other.
Referring to Fig. 1, the hydraulic squeezing side of the camellia oil provided by the invention based on response phase method and multi-objective genetic algorithm
Method mainly comprises the steps that
Step 1 prepares camellia seed sample.Specifically, camellia seed is dried at 60 DEG C moisture content be 0~9% after
It peels off, the tea seed episperm obtained after peeling off is uniformly mixed with tea seed kernel according to the mass ratio of 12.5:87.5 uniformly to be mixed
Material, weighs uniform mixing described in 300g as camellia seed sample.
Step 2 successively changes pressing temperature, squeezing time, squeeze pressure and camellia seed water content and carries out single factor test examination
It tests, to obtain the oil yield under different pressing temperatures and squeeze the energy consumption of unit mass camellia seed, going out under the different squeezing times
Oil cut rate and squeeze the energy consumption of unit mass camellia seed, the oil yield under different squeeze pressure and squeezing unit mass camellia seed
The energy consumption of energy consumption and oil yield and squeezing unit mass camellia seed under different camellia seed water content.
Specifically, it will be put into squeezer after camellia oil sample package with gauze, under the pressure of 10~40MPa
10~45min is squeezed to extract to obtain camellia oil.Later, tea seed kernel quality 300 × 87.5%g in the sample is calculated, it is right
Tea seed cake weighing m g after squeezing, weighs three times every time, calculates gained camellia oil quality (300-m) g and oil yield (300-
M)/(300 × 87.5%) × 100%.Meanwhile as energy consumption measurement when the gauge hand of the squeezer is started mobile
Initial time, the integrated power function of startup power measuring instrument, total energy consumption in measurement 10~45min difference squeezing time
Et kWh calculates energy consumption Et/ (300 × 87.5% × 1000) kWh/kg needed for obtaining unit mass tea seed kernel.
In addition, successively changing pressing temperature, squeeze pressure, squeezing time and camellia seed water content carries out single factor experiment,
And it is each under the conditions of five Duplicate Samples are set, and the oil yield and energy consumption of method measurement expressing process as described above obtains
The result obtained is as shown in Figure 14 to Figure 17.
Step 3 carries out experimental design according to the resulting result of step 2, wherein with pressing temperature, squeeze pressure, squeezing
Time and camellia seed water content are independent variable, establish polynary quadratic regression equation respectively as response using oil yield and energy consumption；Base
In the obtained polynary quadratic regression equation, by maximum oil yield and least energy consumption into as multi-objective optimization question with into
The search of row multiple target thereby determines that best pressing temperature, best squeezing time, best squeeze pressure and best camellia seed are aqueous
Amount.
Specifically, according to single factor experiment as a result, selection pressing temperature, squeezing time, squeeze pressure and camellia seed are aqueous
This four factors are measured, experimental design, examination are carried out according to Box-Behnken design principle using 11 software of Design Expert
It is as shown in table 1 to test design result；And become with pressing temperature A, squeeze pressure B, squeezing time C and camellia seed water content D for oneself
Amount, using oil yield and energy consumption as response Y1、Y2, establish polynary quadratic regression equation respectively, testing program and the results are shown in Table 2.
1 empirical factor of table and level set
Obtained polynary quadratic regression equation is respectively as follows:
Y1=-4.85089+0.296045A+0.93585B+0.895394C+2.03717D+0.001271AB -
0.00265AC- 0.014815AD-0.000352BC-0.034476BD+0.019074CD-0.001419A2-0.012569B2-
0.012335C2- 0.198292D2；
Y2=0.89576-0.012427A-0.019977B-0.024061C-0.078933D+0.000054 AB+
0.000553AC +0.000314BC-0.000578BD+0.000911CD+0.000074A2+0.00026B2-0.000036C2+
0.004639D2；
2 Box-Behnken experimental design of table and result
It is found that the linear relationship conspicuousness between each factor and response examines class judgement by F value, P value is smaller for analysis,
Then the conspicuousness of explanatory variable is higher.By analysis of variance table (being shown in Table 3) it is found that oil yield and the regression model of energy consumption are extremely aobvious
It writes (the model level of signifiance is respectively less than 0.0001).
The results of analysis of variance of 3 experimental data of table
Note: ★ ★ is that difference is extremely significant (P < 0.01), and ★ is significant difference (P < 0.05).
Using maximum oil yield and least energy consumption as multi-objective optimization question, mathematic(al) representation is as follows:
Min F (x)=(f1(x), f2(x))
f1(x)=0.89576-0.012427A-0.019977B-0.024061C-0.078933D+0.000054 AB+
0.000553AC+0. 000314BC-0.000578BD+0.000911CD+0.000074A2+0.00026B2-0.000036C2+
0.004639D2； f2(x)=- 4.85089+0.296045A+0.93585B+0.895394C+2.03717D+0.001271AB-
0.00265AC- 0.014815AD-0.000352BC-0.034476BD+0.019074CD-0.001419A2-0.012569B2-
0.012335C2- 0.198292D2；
Wherein f1(x) and f2(x) energy consumption and oil yield are respectively indicated, herein with response phase method establish respectively about go out
The expression of the polynary quadratic equation of oil cut rate and energy consumption, xiIt is i-th of factor, xi lIt is the value lower limit of i-th of factor, xi uIt is i-th
The value upper limit of factor, wherein x1Indicate pressing temperature A；x2Indicate squeeze pressure B；x3Indicate squeezing time C；x4Indicate camellia
Seed water content D.The gamultiobj function of multi-objective genetic algorithm in Calling MATLAB R2017a software, major parameter setting
4 are shown in Table, multiple target search then is carried out to maximum oil yield and least energy consumption, obtains one group of Pareto of the two targets most
Excellent solution, the results are shown in Table 5.
The setting of 4 multi-objective genetic algorithm major parameter of table
5 Pareto optimal solution of table
| Group sequence | Temperature, DEG C | Pressure, MPa | Time, min | Water content, % | Oil yield, % | Energy consumption, kWh/kg |
| 1 | 40.00365 | 44.96522 | 39.98237 | 0.020207 | 41.3008 | 0.670057 |
| 2 | 40.16872 | 44.09745 | 39.9593 | 0.062719 | 41.0695 | 0.65522 |
| 3 | 40.22246 | 43.3542 | 38.2951 | 1.416095 | 39.4661 | 0.56877 |
| 4 | 40.25972 | 41.142 | 38.55275 | 0.634963 | 39.7263 | 0.568933 |
| 5 | 40.07564 | 43.38408 | 38.85691 | 0.881306 | 40.0596 | 0.593621 |
| 6 | 40.00365 | 44.96522 | 39.98237 | 0.020507 | 41.3008 | 0.670057 |
| 7 | 40.14921 | 43.83531 | 37.86644 | 0.998355 | 39.8144 | 0.587543 |
| 8 | 40.30251 | 44.97113 | 37.55207 | 0.215232 | 40.6092 | 0.642315 |
| 9 | 40.23377 | 41.25524 | 39.5863 | 1.484499 | 39.36 | 0.54669 |
| 10 | 40.06525 | 42.27964 | 39.4791 | 0.220578 | 40.4764 | 0.610506 |
Fig. 2 to Figure 13 is please referred to, in another embodiment, using 11 software of Design Expert according to polynary
Quadratic regression equation carries out plot analysis to obtain the response surface figure of regression equation, and then really best pressing temperature, best squeezing
Time, best squeeze pressure and best camellia seed water content；Wherein, the best pressing temperature is 40 DEG C~85 DEG C, preferably
It is 70 DEG C~85 DEG C；The best squeeze pressure is 10~35MPa, preferably 27.5MPa；The best squeezing time is 10
~35min, preferably 25min；The best camellia seed water content is less than or equal to 2.5%, is preferably 2.5%.
Step 4 uses the best squeeze pressure to water content for the best mountain under the best pressing temperature
The camellia seed of tea seed water content carries out hydraulic squeezing, wherein a length of best squeezing time when squeezing.
The hydraulic pressing method of camellia oil provided by the invention based on response phase method and multi-objective genetic algorithm, is based on
It is optimized using squeezing process condition of the response phase method to camellia oil, to obtain optimal squeezing process condition, so
So that camellia oil squeezing carries out under optimum process condition, to reduce cost and energy consumption, oil yield is improved, is the reality of camellia oil
Border production provides reliable data and supports.
As it will be easily appreciated by one skilled in the art that the foregoing is merely illustrative of the preferred embodiments of the present invention, not to
The limitation present invention, any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should all wrap
Containing within protection scope of the present invention.
Claims (10)
1. a kind of hydraulic pressing method of camellia oil based on response phase method and multi-objective genetic algorithm, which is characterized in that this method
The following steps are included:
(1) successively change pressing temperature, squeezing time, squeeze pressure and camellia seed water content and single factor test is carried out to camellia seed sample
Test, to obtain the oil yield under different pressing temperatures and squeeze the energy consumption of unit mass camellia seed, under the different squeezing times
Oil yield and squeeze the energy consumption of unit mass camellia seed, the oil yield under different squeeze pressure and squeezing unit mass camellia seed
The energy consumption of energy consumption and oil yield and squeezing unit mass camellia seed under different camellia seed water content；
(2) experimental design is carried out according to obtained result, wherein with pressing temperature, squeeze pressure, squeezing time and camellia seed
Water content is independent variable, establishes polynary quadratic regression equation respectively as response using oil yield and energy consumption；Described in obtaining
Polynary quadratic regression equation, using maximum oil yield and least energy consumption as multi-objective optimization question to carry out multiple target search, by
This determines best pressing temperature, best squeezing time, best squeeze pressure and best camellia seed water content；
(3) under the best pressing temperature, use the best squeeze pressure aqueous for the best camellia seed to water content
The camellia seed of amount carries out hydraulic squeezing, wherein a length of best squeezing time when squeezing.
2. the hydraulic pressing method of camellia oil as described in claim 1 based on response phase method and multi-objective genetic algorithm, special
Sign is: the polynary quadratic regression equation established in step (2) is respectively as follows:
Y1=-4.85089+0.296045A+0.93585B+0.895394C+2.03717D+0.001271AB -0.00265AC-
0.014815AD-0.000352BC-0.034476BD+0.019074CD-0.001419A2-0.012569B2-0.012335C2-
0.198292D2；
Y2=0.89576-0.012427A-0.019977B-0.024061C-0.078933D+0.000054 AB+0.000553AC+
0.000314BC-0.000578BD+0.000911CD+0.000074A2+0.00026B2-0.000036C2+0.004639D2；
In formula, A is pressing temperature；B is squeeze pressure；C is the squeezing time；D is camellia seed water content；Response Y1、Y2Respectively
Oil yield and energy consumption.
3. the hydraulic pressing method of camellia oil as claimed in claim 2 based on response phase method and multi-objective genetic algorithm, special
Sign is: the mathematic(al) representation of the multi-objective optimization question are as follows:
Min F (x)=(f1(x), f2(x))
In formula, f1(x) and f2(x) energy consumption and oil yield are respectively indicated, and the polynary quadratic regression equation being respectively adopted carrys out table
Show, xiIt is i-th of factor, xi lIt is the value lower limit of i-th of factor, xi uIt is the value upper limit of i-th of factor, wherein x1It indicates
Pressing temperature A；x2Indicate squeeze pressure B；x3Indicate squeezing time C；x4Indicate camellia seed water content D.
4. the hydraulic squeezing side of the camellia oil as described in any one of claims 1-3 based on response phase method and multi-objective genetic algorithm
Method, it is characterised in that: the best pressing temperature is 40 DEG C~85 DEG C.
5. the hydraulic squeezing side of the camellia oil as described in any one of claims 1-3 based on response phase method and multi-objective genetic algorithm
Method, it is characterised in that: the pressing temperature is 40.16 DEG C；The squeeze pressure is 44MPa；The squeezing time is
39.9min；The camellia seed water content is 0.06%.
6. the hydraulic squeezing side of the camellia oil as described in any one of claims 1-3 based on response phase method and multi-objective genetic algorithm
Method, it is characterised in that: the best squeeze pressure is 10MPa~35MPa.
7. the hydraulic squeezing side of the camellia oil as described in any one of claims 1-3 based on response phase method and multi-objective genetic algorithm
Method, it is characterised in that: the pressing temperature is 40 DEG C；The squeeze pressure is 44.9MPa；The squeezing time is 39.9min；
The camellia seed water content is 0.02%.
8. the hydraulic squeezing side of the camellia oil as described in any one of claims 1-3 based on response phase method and multi-objective genetic algorithm
Method, it is characterised in that: the best camellia seed water content is less than or equal to 2.5%.
9. the hydraulic squeezing side of the camellia oil as described in any one of claims 1-3 based on response phase method and multi-objective genetic algorithm
Method, it is characterised in that: further include the preparation of camellia seed sample before step (1), the preparation of camellia seed sample the following steps are included:
First camellia seed is dried to after moisture content is 0~9% at 60 DEG C and is peeled off；Again by the tea seed episperm peeled off and tea seed kernel according to
Predetermined mass ratio is uniformly mixed to obtain mixing；Then, the mixing of predetermined quality is weighed as camellia seed sample.
10. the hydraulic pressing method of camellia oil as claimed in claim 9 based on response phase method and multi-objective genetic algorithm, special
Sign is: the predetermined mass ratio is 12.5:87.5.
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| CN115826546A (en) * | 2023-02-20 | 2023-03-21 | 深圳普菲特信息科技股份有限公司 | Parameter adjusting method and system based on production line reaction kettle and readable storage medium |
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