CN101446549A - Method for detecting sizing percentage of slashing by applying near-infrared spectrum technology - Google Patents
Method for detecting sizing percentage of slashing by applying near-infrared spectrum technology Download PDFInfo
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- CN101446549A CN101446549A CNA2008101544021A CN200810154402A CN101446549A CN 101446549 A CN101446549 A CN 101446549A CN A2008101544021 A CNA2008101544021 A CN A2008101544021A CN 200810154402 A CN200810154402 A CN 200810154402A CN 101446549 A CN101446549 A CN 101446549A
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Abstract
The invention relates to a method for detecting sizing percentage of slashing by applying the near-infrared spectrum technology, in particular to the Fourier-based near-infrared spectrum analysis technology. Slashing test specimen is prepared by special sample collection preparation method, and a slashing sizing percentage calibration model is established by combining with chemo-metrics methods, thus detecting the sizing percentage of slashing on line rapidly without any loss.
Description
Technical field
The present invention relates to a kind of method of utilizing near-infrared spectrum technique to detect the sizing rate of sizing, relate in particular to quick, harmless, the online measuring technique of the sizing rate of sizing.Particularly, be a kind of employing near-infrared spectral analysis technology and equipment, in conjunction with chemometrics method, the technology that the calibration model of setting up by experimental study carries out online Non-Destructive Testing to unknown sizing sample.The thought that the present invention relates to, technology and method can be used for the slashing technique process sizing rate of sizing is carried out online detection, simultaneously, also can be used for behind the fabric in the processing and back arrangement process detection to other correlation parameters such as coated fabric coating levels, fabric mercerising degree etc.
Background technology
Sizing is to weave the central important procedure of preparatory construction, and purpose is by sizing technique slurries to be soaked into and the lining warp thread, and forms the serous coat with certain physical and mechanical properties by drying, reaches the purpose of improving the warp thread weaving performance.Wherein, the sizing rate of sizing is to estimate one of most important technical indicator of sizing quality.
Use along with novel weaving technology especially air-jet loom etc. makes weaving speed be greatly improved, and this weaving performance to warp thread has proposed more and more higher requirement, as antifriction performance and the docile and obedient situation of surface hairiness etc.The production practices surface, warp end break is one of main obstacle that improves loom efficiency, therefore, improve slashing technique, especially size, the assurance rate of sizing uniformity of controlling the rate of sizing become the problem that presses for solution at present, in the slashing technique process, the rate of sizing is carried out online detection, then be the effective way that addresses this problem, improves production efficiency and product quality.
The factor that influences the rate of sizing is a lot, as concentration of slurry (solid content), viscosity, squeezing pressure, sizing speed, soaking paste length and soaking paste time etc., in the production run, generally with these factors as detecting and controlling object, by fixing or adjust the purpose that these influence factors realize rate of sizing uniformity.The warp sizing rate online measuring technique of practicability mainly comprises following two kinds at present: material balance method, hygrometric are in conjunction with the concentration of slurry method.
Material balance method passes through to measure the consumption and the corresponding warp thread throughput of slurries in a period of time, calculates according to the definition of the rate of sizing and detects the average rate of sizing of interior warp thread during this period of time.This method and technical equipment have obtained actual use in a lot of warp sizing machines, as the Visocoll rate of sizing detection system of Germany's development, the SPM system of field, Japanese Tianjin coltfoal company etc.
Adopt material balance method to measure the sizing rate of sizing and have simple, the cheap advantage of device, its shortcoming is measuring accuracy lower (error that detects the rate of sizing as the Visocoll system be approximately ± 5～± 10%), simultaneously, what this method obtained is the average rate of sizing in a period of time in the sizing technique process, and control and adjusting to the rate of sizing when using in real-time monitoring system have hysteresis quality.
Hygrometric is meant in conjunction with the concentration of slurry method and adopts related sensor that sizing is extruded regain (sizing goes out the regain before squeezing roller advances drying room) and concentration of slurry (solid content) is measured, and utilizes mathematical relation between the two and the rate of sizing to obtain the rate of sizing index of sizing.It is the Telecol that German ancestral restrains warp sizing machine that the typical case of this method uses, and this system adopts the Microwave Measurement sizing to extrude regain, adopts radio spectrometer to detect the slurries solid content, in the two input computing machine, utilizes correlation formula to carry out the rate of sizing and calculates.Current, also have and adopt ultrasonic method to carry out research and application that the slurries solid content detects.
Hygrometric is more accurate in conjunction with concentration of slurry method test result, regulates rapidly, and is applied widely.Shortcoming is the sensing detection technical sophistication, the equipment price costliness.Simultaneously, relationship between the sized warp moisture regain that is adopted, slurries solid content the two and the rate of sizing belongs to approximate expression more, the general conventionally sizing process that only is suitable for comprising the high pressure starching, also inapplicable to the increasingly extensive prewetting sizing technique of current application because approximation relation is false.
Near infrared spectrum (Near Infrared Spectroscopy, NIR) analytical technology is the high-new analytical technology of analytical chemistry field fast development in recent years, be spectral measurement methods, computer technology, stoichiometry learns a skill and the combination of basic test technology, its appearance has brought the revolution of analytical technology again, more and more causes people's attention.In recent years, near-infrared spectral analysis technology has all obtained increasing attention in a plurality of fields, and a lot of successful application have been arranged, and has created outstanding social benefit and economic benefit.
Near infrared detection is a kind of quick, non-destructive detection technique, can realize qualitative and quantitative test, is fit to very much carry out the detection of the sizing rate of sizing.Composition that near infrared technology need record sample group, composition or states of matter information that near infrared spectrum reflected and reference method with standard or approval or character data adopt stoichiometry to learn a skill and set up calibration model, are a kind of analytical approachs of coming its composition of fast prediction or character by the calibration model to the mensuration of unknown sample spectrum and foundation.And in rate of sizing testing process, need be taken all factors into consideration various influence factors (comprising warp thread kind and specification, type of stock and concentration, environment temperature and humidity), so having relatively high expectations to sample sets, a large amount of experiments need be carried out, the strong calibration model of applicability could be set up on this basis.In view of this, near infrared technology is not also obtained the practicability progress as yet in the application of sizing rate of sizing detection range, current rate of sizing detection system external and domestic sizing equipment mainly adopts material balance method, hygrometric in conjunction with the concentration of slurry method, and the practicability technology that adopts the near infrared detection method to carry out rate of sizing detection yet there are no report.
Summary of the invention
But fundamental purpose of the present invention is to propose a kind of practicability sizing rate of sizing near infrared detection technology and method, and its pick-up unit principle schematic as shown in Figure 1.The near infrared light that produces by the beam splitter of ft-nir spectrometer through Optical Fiber Transmission to popping one's head in and being radiated on the sizing yarn sheet, by detecting device the light that reflects is detected, by selecting test parameters such as suitable scanning wavelength scope, scanning times, obtain the near infrared light spectrogram of sizing.The background potsherd is housed below warp thread, and its effect is to provide stable background for spectral scan.
Sweep limit of the present invention is 1300-2500nm, and corresponding wave number is 7900～4000cm
-1, scanning times is 16 times.
Near infrared spectrum data is imported into computing machine, and here the rate of sizing calibration model of being set up by experiment by the utilization of Chemical Measurement software carries out the detection and the prediction of the actual rate of sizing of sizing.
The present invention is based on the sizing rate of sizing detection technique that said apparatus proposes can detect the sizing rate of sizing, and can be implemented in and in the sizing process rate of sizing is carried out online in real time and detect.Its detection method is that the sizing rate of sizing information that near infrared spectrum is reflected adopts chemometrics method to set up calibration model with obtain rate of sizing numerical value with weight method or computing method, comes the rate of sizing numerical value of the unknown sizing of fast prediction then by this calibration model.
It is the basis and the prerequisite work of rate of sizing near infrared detection method provided by the present invention that calibration model is set up, and concrete modeling method and process are:
A. the warp thread sample sets is set up: the warp thread of choosing different fibrous raw materials, special number (line density) and the twist is as test and modeling warp thread;
B. modulate slurries: select for use the slurry of variety classes, prescription to carry out the modulation of different solid content slurries;
C. sizing operation: adopt various slurries that the warp thread in the warp thread sample sets is carried out sizing respectively and handle, by adjusting technological parameters such as soaking paste time, squeezing pressure, sizing speed, behind starching, drying, obtain the sizing sample of the different rate of sizings, the sizing sample be wound up under certain tension force experiment with beam of a loom on, gained sizing sample should contain and covers variety classes warp thread, variety classes slurry and the different rate of sizings, and the sizing sample that is used for modeling should not be lower than 30;
D. rate of sizing test: adopt the destarch weight method that each sizing sample is carried out the rate of sizing and measure;
E. sizing near infrared spectrum scanning: on the pick-up unit sizing sample in the sizing sample sets is being carried out the scanning of off-line near infrared spectrum as shown in Figure 1, should make the sample state (comprising tension force, density) of arranging consistent in the scanning process with the state in the actual warp sizing machine sizing process;
F. adopting Chemical Measurement software to carry out rate of sizing near infrared correction sets up: the sizing sample sets is carried out rate of sizing ordering, by certain method sample sets is divided into calibration set and forecast set two parts, utilize the near infrared spectrum and the actual test value of the rate of sizing of calibration set sample to carry out the foundation of calibration model, in the modeling process spectroscopic data is carried out the pre-service of single order differential, and adopt partial least square method to set up rate of sizing quantitative correction model; Then, utilize calibration model that the spectrum of forecast set sample is carried out rate of sizing prediction, and will predict the outcome and survey rate of sizing data and compare, with the predictive ability of verification model.
Rate of sizing calibration model by above-mentioned modeling method provided by the present invention is set up will be used to install as shown in Figure 1 the online or offline inspection of carrying out the sizing rate of sizing.
Description of drawings
Accompanying drawing 1 is the sizing rate of sizing near infrared detection system that the present invention set up.Reference numeral:
The 1-background board
The 2-near-infrared probe
3-optical fiber
4-sizing yarn sheet
5-quetsch (sizing roller, squeezing roller)
Embodiment
The following examples can make those skilled in the art more fully understand the present invention, but do not limit the present invention in any way.
Embodiment: Quality Pure Cotton Yarn Production rate of sizing near infrared detection
1. warp thread sample collection:
For setting up warp sizing rate near infrared correction, at first collected the textile warp thread sample of different size.Sample sets comprises that fineness is respectively five kinds of textile single thread of 9.7tex, 14tex, 23tex, 28tex, 32tex, and yarn is the cheese of processing on the automatic winder, derives from the three tame different cotton spinning enterprises product of different batches separately.
2. slurry is selected and is sized mixing:
Selection is the mixed slurry of main slurry with graft starch and PVA, and blending ratio is respectively 100:50,100:20, and the former is used for low special (9.7tex, 14tex) warp sizing, and the latter is used for Gao Te (23tex, 28tex, 32tex) warp sizing.
3. sizing:
On the automatic sample warp sizing machine of digitizing, warp thread is carried out the sizing operation, every kind of warp thread all obtains 10 groups of sizing products by choosing different soaking paste time, squeezing pressure, sizing speed in the sizing process, promptly obtain five kinds of totally 50 groups of sizing samples, the sizing close wind is on beam of a loom in a narrow margin.
4. rate of sizing test:
Adopt the oven dry weight method to obtain the rate of sizing data of 50 groups of sizing samples, owing in the starching process, consciously the rate of sizing is controlled, so its numerical value from 5% to 20%, basic even the distribution.
5. spectral scan and calibration model are set up:
Sizing sheet yarn sample is from the beam of a loom unwinding and be fixed on the tension support, and integral body places carries out spectral scan on the near-infrared diffuse reflectance pick-up unit, adopts that Chemical Measurement software carries out that forecast set is chosen, the foundation of spectrum pre-service and calibration model.
6. unknown sample rate of sizing prediction:
The calibration model that employing is set up carries out rate of sizing prediction according to the near infrared spectrum of unknown sizing sample (not participating in the sizing sample of modeling), with the testing model accuracy.Studies show that, adopt method provided by the present invention, the predicted value of the sizing rate of sizing and the related coefficient of measured value are 0.9821, and the mean absolute error of forecast set sizing sample rate of sizing predicted value examination is 0.91%, illustrate that institute's established model accurately, reliably.
Claims (10)
1. method of utilizing near-infrared spectrum technique to detect the sizing rate of sizing, this method may further comprise the steps:
A. prepare sizing modeling sample collection with different rate of sizings;
B. adopt conventional method to carry out the test of modeling sizing sample rate of sizing chemical score;
C. modeling sizing sample is carried out near infrared spectrum scanning;
D. set up and optimize sizing rate of sizing near infrared correction;
E. adopt the model of being set up to carry out the detection of the unknown sizing sample rate of sizing.
2. method according to claim 1 is characterized in that the detection of the sizing rate of sizing is carried out on as lower device:
The near infrared light that produces by the beam splitter of ft-nir spectrometer through Optical Fiber Transmission to popping one's head in and being radiated on the sizing yarn sheet, by detecting device the light that reflects is detected, by selecting test parameters such as suitable scanning wavelength scope, scanning times, obtain the near infrared light spectrogram of sizing.The background potsherd is housed below warp thread, and its effect is to provide stable background for spectral scan.
3. pick-up unit according to claim 2 is characterized in that sweep limit is 1300-2500nm, and corresponding wave number is 7900～4000cm
-1, scanning times is 16 times.
4. method according to claim 1 is characterized in that the sizing sample sets is had following requirement:
The warp thread that should choose different fibrous raw materials, special number (line density) and the twist is as test and modeling warp thread;
Should select for use the slurry of variety classes, prescription to carry out the modulation of different solid content slurries;
The sizing sample should contain and covers variety classes warp thread, variety classes slurry and the different rate of sizings, and the sizing sample that is used for modeling should not be lower than 30.
5. method according to claim 1 is characterized in that the conventional method that adopts comprises destarch method and computing method.
6. method according to claim 1, it is characterized in that adopting chemometrics method to set up calibration model sizing rate of sizing information and rate of sizing chemical score that near infrared spectrum reflected in the testing process, come the rate of sizing numerical value of the unknown sizing of fast prediction then by this calibration model.
7. method according to claim 2, the state of arranging (comprising yarn tension, arranging density etc.) that it is characterized in that modeling sizing sample is carried out should making in the spectral scan process sample yarn is consistent with the state in the actual warp sizing machine sizing process.
8. method according to claim 2 is characterized in that this device can carry out off-line or online detection to the rate of sizing of sizing product.
9. method according to claim 4, it is characterized in that the warp thread fibrous raw material comprises cotton, fiber crops, hair, terylene, polyamide fibre, polyvinyl, acrylic fibers, viscose glue etc., spin or the scribbled of different proportion for above-mentioned fiber pure, different types of formula of size comprises the mixing of converted starch, PVA, polyacrylic slurry or some kinds of slurries.
10. method according to claim 6 is characterized in that in the modeling process spectroscopic data being carried out the pre-service of single order differential, and adopts partial least square method to set up rate of sizing quantitative correction model.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104392032A (en) * | 2014-11-13 | 2015-03-04 | 哈尔滨工业大学 | Finite element method-based yarn material parameter identification method |
| CN104790156A (en) * | 2015-04-10 | 2015-07-22 | 泉州装备制造研究所 | Intelligent detection system for continuous pad dyeing vehicle color differences |
| CN104865218A (en) * | 2015-05-06 | 2015-08-26 | 江西出入境检验检疫局检验检疫综合技术中心 | Method for measuring cotton and hemp blend fiber content |
| CN110243785A (en) * | 2019-06-26 | 2019-09-17 | 江阴芗菲服饰有限公司 | A kind of online test method of concentration of slurry variation |
-
2008
- 2008-12-24 CN CNA2008101544021A patent/CN101446549A/en active Pending
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104392032A (en) * | 2014-11-13 | 2015-03-04 | 哈尔滨工业大学 | Finite element method-based yarn material parameter identification method |
| CN104392032B (en) * | 2014-11-13 | 2017-06-27 | 哈尔滨工业大学 | Thread material parameter identification method based on FInite Element |
| CN104790156A (en) * | 2015-04-10 | 2015-07-22 | 泉州装备制造研究所 | Intelligent detection system for continuous pad dyeing vehicle color differences |
| CN104790156B (en) * | 2015-04-10 | 2017-03-08 | 泉州装备制造研究所 | A kind of continuous knot dyeing car aberration intelligent checking system |
| CN104865218A (en) * | 2015-05-06 | 2015-08-26 | 江西出入境检验检疫局检验检疫综合技术中心 | Method for measuring cotton and hemp blend fiber content |
| CN104865218B (en) * | 2015-05-06 | 2017-06-23 | 江西出入境检验检疫局检验检疫综合技术中心 | The quick method for determining cotton ramie blended spinning fiber content |
| CN110243785A (en) * | 2019-06-26 | 2019-09-17 | 江阴芗菲服饰有限公司 | A kind of online test method of concentration of slurry variation |
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Open date: 20090603 |