CN108089105A - A kind of dielectric property detection method of pine nut - Google Patents
A kind of dielectric property detection method of pine nut Download PDFInfo
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- CN108089105A CN108089105A CN201711358400.XA CN201711358400A CN108089105A CN 108089105 A CN108089105 A CN 108089105A CN 201711358400 A CN201711358400 A CN 201711358400A CN 108089105 A CN108089105 A CN 108089105A
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- dielectric property
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1227—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
- G01R31/1263—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
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- Investigating Or Analyzing Materials By The Use Of Electric Means (AREA)
Abstract
The present invention relates to the technical fields of dielectric property detection, and in particular to a kind of computational methods of the dielectric property detection method of pine nut.Its step includes, and the relatively low sample of moisture content is pulverized, and the powdered samples under different quality are compacted using homemade cylindrical stainless steel measuring unit.Dielectric property measurement is carried out to the sample after compacting using the terminal open circuit coaxial probe being connected with Network Analyzer.The relation of example dielectric characteristic and frequency is drawn with regression analysis, example dielectric characteristic actual measured value is fitted to obtain to the mathematical model for being suitable for the measurement of pine nut dielectric property under certain frequency with the dielectric mixed equation theoretical value selected in advance.
Description
Technical field
The invention belongs to the technical field of dielectric property detection, more particularly to the detection method of pine nut dielectric property.
Background technology
Pine nut as a kind of seed of pinaceae plant, has abundant protein, carbohydrate, fat and micro member
Element.Nutritive value is high while also has skin care, the effect of promoting longevity.It industrially often needs to be dried to slough water
Divide and amount of grease obtains excellent mouthfeel.Common pine nut drying means mainly has at this stage:Spray drying, heated-air drying,
Freeze-drying.But these schemes all there are it is certain the defects of, if heated-air drying be easy to cause the uneven generation superheating phenomenon of heating,
It is freeze-dried less efficient, cost is higher etc..
In recent years, microwave drying because its rapidly and efficiently the characteristics of food processing field apply increasingly extensive, microwave drying
In the process, microwave and pine nut can intercouple effect, and the dielectric property of pine nut affects its microwave absorption capacity, to dried
Journey and final product quality can have an important influence on.
Dielectric property is a kind of intrinsic physical attribute of dielectric, can represent the ability of dielectric storage electric field energy, instead
Reflect the ability that the dielectric improves condenser capacity.Dielectric property detection method is mainly used at this stage is based on network
The dielectric and magnetic technology of analyzer, it the advantages of be that measurement is rapid, quick, and one-shot measurement can be obtained by under all frequencies
Dielectric parameter.But it is that the solid of surfacing is either uniform to measured object requirement for the accuracy for ensureing measurement
Liquid.For the pine nut of surface irregularity, simple measurement using this technology can generate relatively low repetitive rate and measurement error.
Dielectric property theoretical value actually needs to draw by mixed equation, and sample is also required to carry out pretreatment to ensure the accurate of measurement.
In terms of patent, the technology with the dielectric property of the method detection pine nut is almost blank.
The content of the invention
For existing measurement technology there are the defects of, the applicant provides the detection method of pine nut dielectric property.
This method can ensure the accuracy of pine nut dielectric property measurement, so as to provide ginseng for the microwave drying process process optimization of pine nut
It examines and instructs.
Technical scheme is as follows:
(1) sample pretreatment:Pine nut is put into microwave drying in micro-wave oven, to compared with low water content, to incite somebody to action with medicinal pulverizer
The sample comminution of intimate over dry filters out the powder of uniform and delicate with sieve into powder.
(2) it is compacted:Powder sample is compacted in a homemade cylindrical stainless steel measuring unit using hydraulic device,
The sample diameter for the powder final molding being compacted is respectively equal to the internal diameter and height of test cell with thickness, changes different powder
Last quality obtains the powder sample under different densities successively.Edging machine flanging is placed it in after finally paving surface.
(3) measure of density and porosity:Use quality and volume basis calculate the density of the powder sample after crushed
ρ, the density measure of primary sample use bottle method.Experiment, which is repeated five times, with water work replacement solution is averaged to obtain original pine nut
Density is ρm, porosity formulaIt is calculated.
(4) under different densities example dielectric characteristic measure:Before experiment is measured, first Network Analyzer is preheated
After 30min, then relevant parameter scope is set and the end of air, short circuit fault and deionized water to Network Analyzer is respectively adopted
Coaxial high-temperature probe of opening a way is calibrated.Ensure that the measured value sensitivity of open end coaxial probe is less than 0.5.Calibration is completed
Afterwards, the cylindrical stainless steel measuring unit equipped with powder sample is assembled in the stainless steel barrel in thermostatical oil bath, operation
When ensure the sample of measuring unit and the intimate surface contact of coaxial probe to prevent the air gap.Thermostatical oil bath is used for
The temperature of control material, thermocouple insertion material monitor its temperature on-line.
(5) regression analysis is carried out to the dielectric property in the range of different frequency and fissipation factor with related software, obtains sample
Relation between product dielectric property, fissipation factor and frequency is as follows:
Wherein, a, b are the constant that regression analysis obtains.
(6) by original irregular sample rate ρmCorresponding a, b parameter can be acquired by bringing linear equation into, and then obtain original
The relation for irregular sample dielectric and the frequency of beginning.
(7) obtained dielectric property is brought into related mixed equation (1), (2), (3), (4) to the relational expression of frequency,
So as to calculate the dielectric Theory value based on different mixed equations.Pass through the actual measured value for comparing sample and different mixed equations
Calculated value, determine the mixed equation that most suitable pine nut dielectric calculates.
lgε2=Alg ε1 2+(1-A)lgε2 2 (1)
Ln ε=[ln (ε1)+Aln(ε2)]3 (3)
Wherein, A is the porosity of pine nut.
Description of the drawings
Fig. 1 is dielectric property detection device schematic diagram (the 1- computers of the present invention;2- Network Analyzers;3- metal probes
Frame;4 coaxial cables;5- temperature sensors;6- thermometers;7- thermostatical oil baths;8- dielectric probes;9- samples)
Fig. 2 is pine nut dielectric property theoretical value and the relation of calculated value and frequency
Specific embodiment
The invention will be further described with reference to the accompanying drawings and examples.
The dielectric property detection method of pine nut is comprised the following steps:
(1) sample pretreatment:50g samples is taken to be put into micro-wave oven drying to 10% or so moisture wet basis, grinding pine nut
Cheng Fen filters out the powder of uniform and delicate with sieve.
(2) it is compacted:Powder sample is compacted in a homemade cylindrical stainless steel measuring unit using hydraulic device
(having different scales in stainless steel measuring unit, total unit internal diameter is 25mm, is highly 15mm), the powder being compacted finally into
The sample diameter of type is respectively equal to the internal diameter and height of test cell with thickness, changes different powder qualities and obtains 3 successively
Powder sample under kind different densities.Respectively 0.968,1.034,1.129g/cm3, pressure is placed it in after finally paving surface
20min obtains final compacting sample under the machine of side.
(3) measure of density and porosity:The density measure of primary sample uses bottle method.Made to substitute solution weight with water
Multiple five experiments be averaged original pine nut grain density is 1.257 ± 0.015g/cm3, porosity passes through correlation formula meter
It calculates as 0.68 ± 0.05
(4) under different densities example dielectric characteristic measure:Before experiment is measured, first Network Analyzer is preheated
After 30min, then relevant parameter scope is set and the end of air, short circuit fault and deionized water to Network Analyzer is respectively adopted
Coaxial high-temperature probe of opening a way is calibrated.Ensure that the measured value sensitivity of open end coaxial probe is less than 0.5.Calibration is completed
Afterwards, the cylindrical stainless steel measuring unit equipped with powder sample is assembled in the stainless steel barrel in thermostatical oil bath, operation
When ensure the sample of measuring unit and the intimate surface contact of coaxial probe to prevent the air gap.Thermostatical oil bath is used for
The temperature of control material, thermocouple insertion material monitor its temperature on-line.
(5) to carry out Regression Analysis Result to the dielectric property in the range of different frequency with related software as follows;
A=113.48 ρ -92.93 R2=0.998
B=3106.81 ρ -2837.51 R2=0.980
1 pine nut of table corresponding constant under different densities
(6) by original irregular pine nut sample rate ρm=1.257 ± 0.015g/cm3Bringing linear equation into can acquire pair
A, b parameter answered, and then the relation for obtaining original irregular sample dielectric and frequency is as follows:
(7) bring obtained dielectric into related mixed equation (1), (2), (3), (4) to the relational expression of frequency, calculate
Go out the dielectric Theory value based on different mixed equations.The actual measured value of sample and the calculated value of different mixed equations are for example attached
Shown in Fig. 2.As seen from the figure, it is equation 4 to be most suitable for the mixed equation that pine nut dielectric property calculates.
Claims (4)
1. a kind of dielectric property detection method of pine nut, it is characterised in that:One is measured with Network Analyzer coaxial probe technology
Determine the dielectric property in frequency range, the calculated value of mixed equation is examined with actual with regression analysis on this basis
Measured value is mutually fitted to obtain the mathematical model for the dielectric property for being most suitable for pine nut.
2. according to claim 1 use Network Analyzer coaxial probe technology dielectric property, it is characterised in that:Measured pine
Son is calculated by crushing and the pretreatment of compacting, pretreated rear product density ρ with quality and volume basis, primary sample
Density draws with bottle method, porosity formulaIt is calculated.
3. it is according to claim 1 with regression analysis to the calculated value of mixed equation compared with actually detected value,
It is characterized in that:Carry out regression analysis to the dielectric property in the range of different frequency, the example dielectric characteristic and frequency of selection it
Between relational model it is as follows:
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<mo>=</mo>
<mi>a</mi>
<mo>+</mo>
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<mi>b</mi>
<mi>f</mi>
</mfrac>
</mrow>
Wherein, a, b are the constant that regression analysis obtains, and f is frequency.
4. it obtains most suitable pine nut compared with actually detected value according to the calculated value of the mixed equation in claim 1 to be situated between
The mathematical model of electrical characteristics.It is characterized in that:Obtained dielectric property is brought into related mixed equation to the relational expression of frequency
(1), (2), (3), (4) calculate the dielectric Theory value based on different mixed equations,
lgε2=Alg ε1 2+(1-A)lgε2 2 (1)
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Ln ε=[ln (ε1)+Aln(ε2)]3 (3)
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Wherein, A is the porosity of pine nut.
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103487446A (en) * | 2013-09-26 | 2014-01-01 | 上海海洋大学 | Rapid detection method for alum additive in fried food based on dielectric property |
CN103558259A (en) * | 2013-11-20 | 2014-02-05 | 西北农林科技大学 | Whey protein content predication models based on cow milk dielectric property and establishment method thereof |
CN104931547A (en) * | 2015-06-30 | 2015-09-23 | 中国矿业大学 | Experimental analysis method for microwave response characteristics of high-sulfur coal and sulfur-containing model compound |
CN106839751A (en) * | 2017-03-29 | 2017-06-13 | 江南大学 | A kind of microwave drying control system based on dielectric property dynamic change |
CN107064240A (en) * | 2017-04-11 | 2017-08-18 | 江南大学 | A kind of on-line monitoring system based on dielectric property dynamic change |
-
2017
- 2017-12-17 CN CN201711358400.XA patent/CN108089105A/en not_active Withdrawn
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103487446A (en) * | 2013-09-26 | 2014-01-01 | 上海海洋大学 | Rapid detection method for alum additive in fried food based on dielectric property |
CN103558259A (en) * | 2013-11-20 | 2014-02-05 | 西北农林科技大学 | Whey protein content predication models based on cow milk dielectric property and establishment method thereof |
CN104931547A (en) * | 2015-06-30 | 2015-09-23 | 中国矿业大学 | Experimental analysis method for microwave response characteristics of high-sulfur coal and sulfur-containing model compound |
CN106839751A (en) * | 2017-03-29 | 2017-06-13 | 江南大学 | A kind of microwave drying control system based on dielectric property dynamic change |
CN107064240A (en) * | 2017-04-11 | 2017-08-18 | 江南大学 | A kind of on-line monitoring system based on dielectric property dynamic change |
Non-Patent Citations (1)
Title |
---|
宋春芳等: "基于微波加热的馒头介电特性的分析与研究", 《食品与生物技术学报》 * |
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