CN107557085B - A kind of the kinematic viscosity test and prediction technique of biomass-based liquid fuel - Google Patents
A kind of the kinematic viscosity test and prediction technique of biomass-based liquid fuel Download PDFInfo
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- CN107557085B CN107557085B CN201710789659.3A CN201710789659A CN107557085B CN 107557085 B CN107557085 B CN 107557085B CN 201710789659 A CN201710789659 A CN 201710789659A CN 107557085 B CN107557085 B CN 107557085B
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Abstract
The invention discloses a kind of test of the kinematic viscosity of fuel combination and prediction techniques, this method calculates the test and prediction technique combined with numerical value using test, dynamic viscosity-temperature curve is tested based on rotational rheometer, and multiple numerical fitting is carried out using 3 points of calibration, lignocellulosic base levulic acid esters-diesel oil kinematic viscosity database critical issue is established in test and prediction lignocellulosic base levulic acid esters-diesel blended fuel kinematic viscosity, solution.The method of the present invention is greatly saved the testing time relative to conventional test methodologies, can the convenient and efficient kinematic viscosity predicted in wide temperature range.When tested viscosity is worth biggish liquid fuel, " air pocket " phenomenon bring measurement error can be evaded, effectively conducive to kinematic viscosity database is established.
Description
Technical field
The present invention relates to a kind of test of the kinematic viscosity of fuel combination and prediction technique more particularly to a kind of lignocellulosics
Base levulic acid esters-diesel blended fuel kinematic viscosity test and prediction technique.
Background technique
Petroleum-based energy rapidly depletes so that countries in the world accelerate the paces of demand clean energy resource.Biomass energy is six
It can uniquely collect, store in kind of renewable energy, transporting and the renewable energy of fixed carbon.It is produced based on lignocellulosic
Material liq fuel is an important research direction in Biomass Energy Utilization technology, and exploitation biomass liquid fuel technology is not
Chinese energy safety strategic importance can only be enhanced, and had to alleviating the withered consumption pressure of China's energy, reducing environmental emission pollution
Significance.
Lignocellulosic base liquid fuel make an addition to diesel fuel applications in vehicular engine be in Biomass Energy Utilization technology
The technology of one relative maturity, the key of the technological development are to carry out evaluation analysis to fuel combination.Conventional evaluation side at present
Method is to carry out direct test analysis according to engine testing rack, and this method is simply direct, but evaluation cycle is longer, is expended big
The time of amount and financial resources.It is a kind of feasible succinct approach that fuel is screened by the physicochemical property progress pre assessment of fuel.And
Kinematic viscosity is a particularly important parameter in physicochemical property, can influence the evaporation atomization and combustion stability of fuel.It establishes
Diesel blended fuel kinematic viscosity database is an important link for improving fuel physicochemical property database.
The conventional test methodologies of kinematic viscosity use GB 265-88, and this method test is relatively accurate.But to different temperatures
Under the conditions of kinematic viscosity test consuming time is long, the measuring accuracy of kinematic viscosity the accuracy of manufacture of capillary is relied on it is larger,
To cause the less reproducible of test；The biggish liquid of viscosity is also easy to produce " air pocket " phenomenon, causes test error larger.According to
The detailed database of kinematic viscosity that conventional method establishes fuel combination is almost the project for being difficult to complete.
Summary of the invention
The disadvantages of present invention is the consuming overlong time for solving conventional test methodologies, heavy fuel test inaccuracy, adopts
The test and prediction technique combined is calculated with numerical value with test, dynamic viscosity-temperature curve is tested based on rotational rheometer, and
Multiple numerical fitting, test and prediction lignocellulosic base levulic acid esters-diesel blended fuel are carried out using 3 points of calibration
Lignocellulosic base levulic acid esters-diesel oil kinematic viscosity database critical issue is established in kinematic viscosity, solution.
Therefore, present invention provide the technical scheme that a kind of kinematic viscosity test of fuel combination and prediction technique, the party
Method the following steps are included:
(1) kinematic viscosity for using rheometer test fuel combination chooses suitable flat plate mold diameter D, gap delta, angle speed
Spend r and range of temperature T1~T2DEG C, the test data of dynamic viscosity μ Yu temperature T are measured, half predicted motion viscosity number is obtained
According to η=ρ μ, density p is test scope (T in formula1~T2DEG C) the corresponding density of neutral temperature；
(2) three test calibration points are chosen in test scope, temperature test range are equally divided into three sections, in three temperature
It spends section and distinguishes one temperature spot T of any selection1、T2And T3, as calibration kinematic viscosity, calibration point uses the kinematic viscosity of test
GB 265-88 tests kinematic viscosity η1、η2And η3, obtain calibration point test value (T1,η1)、(T2,η2) and (T3,η3)；
(3) by the test data of flow measurement, Numerical regression analysis is carried out to the kinematic viscosity of calculating, obtains Empirical Mode
Type f1, f1Regression analysis type is y=me-nx, m and n is constant in formula, it is desirable that the degree of fitting R of empirical model2>0.99；
(4) second is carried out to calibration point according to the regression analysis type for calculating the acquisition of kinematic viscosity data to be fitted, obtain
Demarcate fitting empirical formula f2, test temperature value range T ∈ (T1~T2℃)；
(5) operation: f=(af is carried out according to acquisition prediction model1+bf2)/(a+b), a and b are respectively weight factor, to f1
And f2Weight distribution is carried out, a+b=1, b > a in this formula determine weight factor using factor analysis；
(6) finally determine that prediction model is f, T ∈ (T1~T2℃)；
(7) according to prediction model f, T ∈ (T1~T2DEG C) successively calculate kinematic viscosity value under the conditions of each temperature.
The method of the present invention is to carry out numerical value calculating with kinematic viscosity of the numerical model to certain temperature section, and use test
Means logarithm model is modified, and can obtain the kinematic viscosity number for meeting certain precision again to reach and reduce a large number of experiments
According to the purpose in library.
Method of the present invention, the fuel combination are preferably biomass-based diesel fuel；It is more preferably wooden fibre
Tie up plain base levulic acid esters-diesel blended fuel.
Method of the present invention, in a specific embodiment, using rotational rheometer test mixing in step (1)
The kinematic viscosity of fuel, flat plate mold use diameter D for 60mm, gap delta 1mm, and angular speed r is 50r/min, test scope T1
~T2DEG C be 0 DEG C~60 DEG C, gap；In step (6), a=0.3, b=0.7 in formula.
Compared with prior art, the present invention is had the following advantages and beneficial effects:
The present invention is greatly saved the testing time relative to conventional test methodologies, can convenient and efficient prediction wide temperature model
Enclose interior kinematic viscosity.When tested viscosity is worth biggish liquid fuel, it can effectively evade the measurement of " air pocket " phenomenon bring and miss
Difference, conducive to kinematic viscosity database is established.
Detailed description of the invention
Fig. 1 is E5 kinematic viscosity-temperature prediction model figure in the embodiment of the present invention.
Fig. 2 is B5 kinematic viscosity-temperature prediction model figure in the embodiment of the present invention.
Specific embodiment
Come that the present invention is furture elucidated below by the detailed description of specific embodiment, but is not to limit of the invention
System, only illustrates.
Embodiment one
The fuel that test is prepared is ethyl levulinate-diesel oil and Butyl acetylpropanoate-diesel blended fuel, and is added micro-
N-butanol is measured as cosolvent, respectively E5 and B5.E5 at being grouped as are as follows: 4.5~5%vol ethyl levulinate, 0~
0.5%vol n-butanol, 95%vol0# diesel oil；B5 at being grouped as are as follows: 4.5~5%vol Butyl acetylpropanoate, 0~0.5%
Vol n-butanol, 95%vol0# diesel oil.
1. using in rotational rheometer DHR-1 (TA, the U.S.), flat plate mold uses (diameter 60mm, gap 1mm), angular speed
For 50r/min, 0 DEG C~60 DEG C of test scope.Dynamic viscosity test data is measured, half predicted motion viscosity data η=ρ is obtained
μ, density p is the corresponding fuel combination density of 30 DEG C of (neutral temperature of test scope) temperature spots, ρ in formulaE5=0.818g
cm3, ρB5=0.822gcm3, μ is the dynamic viscosity of rheometer test.
2. successively choosing the calibration point of kinematic viscosity, test scope is divided into three sections (0~20,21~40,41~60),
Three temperature section difference one temperature spots of any selection are as calibration point T1、T2And T3, scale of thermometer fixed point is using GB 265-88 survey
Test run kinetic viscosity obtains η1、η2And η3.E5 choose calibration point be respectively (11,3.63E-3), (28,2.54E-3), (49,
1.63E-3)；The calibration point that B5 chooses is respectively (8,2.81E-3), (51,2.88E-3), (51,1.14E-3).
3. carrying out Numerical regression analysis by the test data of flow measurement to the kinematic viscosity of calculating, obtaining Empirical Mode
Type f1, as depicted in figs. 1 and 2.The f of E51Empirical model are as follows: y=4.372e-0.02x,R2=0.9929；The f of B51Empirical model
Are as follows: y=4.635e-0.024x, R2=0.9999.
4. being fitted according to the regression analysis type that kinematic viscosity data obtain is calculated to calibration point, according to f1It can must return
Analysis type is y=me-nx, m and n is constant in formula, carries out quadratic fit to calibration point according to this recursive type, is demarcated
Fitting empirical formula f2, as depicted in figs. 1 and 2.The f of E52Empirical model are as follows: y=4.499e-0.02x,R2=0.9995；The f of B52
Empirical model are as follows: y=4.319e-0.02x, R2=0.9931.
5. carrying out operation: f=(af according to prediction model is obtained1+bf2)/(a+b), a and b are respectively weight factor, to f1
And f2Weight distribution is carried out, a=0.3 in formula, b=0.7 are acquired using factor analysis.Prediction model according to operational formula E5
Are as follows: y=0.3*4.372e-0.02x+0.7*4.499e-0.02x；The prediction model of B5 are as follows: y=0.3*4.635e-0.024x+0.7*
4.319e-0.02x。
6.f is finally determining prediction model, T ∈ (0 DEG C~60 DEG C).
E5: η=4.4609e-0.02T, T ∈ (0 DEG C~60 DEG C)；The prediction model of B5 are as follows: η=1.391e-0.024T+3.023e-0.02x, T ∈ (0 DEG C~60 DEG C).
7. calculating E5 corresponding kinematic viscosity value at different temperatures according to prediction model:
B5 corresponding kinematic viscosity value at different temperatures is calculated according to prediction model:
Claims (5)
1. a kind of kinematic viscosity of fuel combination is tested and prediction technique, method includes the following steps:
(1) kinematic viscosity for using rheometer test fuel combination, chooses suitable flat plate mold diameter D, gap delta, angular speed r and
Range of temperature T1~T2DEG C, measure the test data of dynamic viscosity μ Yu temperature T, obtain half predicted motion viscosity data η=
ρ μ, density p is test scope (T in formula1~T2DEG C) the corresponding density of neutral temperature；
(2) three test calibration points are chosen in test scope, temperature test range are equally divided into three sections, in three temperature sections
One temperature spot T of any selection respectively1、T2And T3, for the kinematic viscosity of test as calibration kinematic viscosity, calibration point uses GB
265-88 tests kinematic viscosity η1、η2And η3, obtain calibration point test value (T1,η1)、(T2,η2) and (T3,η3)；
(3) by the test data of flow measurement, Numerical regression analysis is carried out to the kinematic viscosity of calculating, obtains empirical model f1,
f1Regression analysis type is y=me-nx, m and n is constant in formula, it is desirable that the degree of fitting R of empirical model2>0.99；
(4) second is carried out to calibration point according to the regression analysis type for calculating the acquisition of kinematic viscosity data to be fitted, demarcated
Fitting empirical formula f2, test temperature value range T ∈ (T1~T2℃)；
(5) operation: f=(af is carried out according to acquisition prediction model1+bf2)/(a+b), a and b are respectively weight factor, to f1And f2
Carry out weight distribution, a+b=1, b > a in this formula；
(6) finally determine that prediction model is f, T ∈ (T1~T2℃)；
(7) according to prediction model f, T ∈ (T1~T2DEG C) successively calculate kinematic viscosity value under the conditions of each temperature.
2. according to the method for claim 1, it is characterised in that: the fuel combination is biomass-based diesel fuel.
3. according to the method for claim 2, it is characterised in that: flat plate mold diameter D is 60mm in step (1), and gap delta is
1mm, angular speed r are 50r/min, test scope T1~T2DEG C be 0 DEG C~60 DEG C.
4. according to the method for claim 2, it is characterised in that: in step (6), a=0.3, b=0.7 in formula.
5. according to the method for claim 2, it is characterised in that: the fuel combination is lignocellulosic base levulic acid
Esters-diesel blended fuel.
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| CN106018176B (en) * | 2016-07-07 | 2019-01-22 | 中国石油集团川庆钻探工程有限公司 | A kind of evaluation method of water-base drilling fluid rheological characteristic |
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