CN111289322A - Solid waste iron-containing sediment standard sample and preparation method thereof - Google Patents

Solid waste iron-containing sediment standard sample and preparation method thereof Download PDF

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CN111289322A
CN111289322A CN202010147874.5A CN202010147874A CN111289322A CN 111289322 A CN111289322 A CN 111289322A CN 202010147874 A CN202010147874 A CN 202010147874A CN 111289322 A CN111289322 A CN 111289322A
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张莉
高洪吉
杨繁
孙咏芬
吴丽娟
孟丽丽
蒋洪娇
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Shandong Institute Of Metallurgical Science Co ltd
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Abstract

The invention provides a standard sample of solid waste iron-containing sediment, which comprises the following components in percentage by weight: CaO 0.3-55.0%, MgO 0.1-36%, SiO21.8‑8.0%、P2O50.05‑1.0%、TiO20.02‑0.5%、MnO 0.05‑8.0%、Al2O30.1-6.0 percent of iron-containing sediment standard sample, 1.5-65.0 percent of TFe, 0.03-16.0 percent of ZnO, 0.2-2.0 percent of S, 0.0001-0.003 percent of Pb, 0-0.0006 percent of As and 0.0001-0.004 percent of Sb. Focusing on As in the iron-containing sludgeHarmful elements to be detected in environmental evaluation such as Pb and F are subjected to fixed value, and the requirement of environmental detection is better met.

Description

Solid waste iron-containing sediment standard sample and preparation method thereof
Technical Field
The invention belongs to the technical field of standard samples, and relates to a solid waste iron-containing sediment standard sample and a preparation method thereof.
Background
The environmental problem and the resource problem are restrictive links for determining whether the steel industry in China can be further developed, the steel enterprise is one of the traditional industries with large energy consumption and serious pollution, and the recycling of solid wastes generated in the production process has important significance for protecting the environment and saving resources. The solid waste of iron and steel enterprises mainly comprises smelting waste residues and various iron-containing sludge, wherein the iron-containing sludge refers to the solid waste obtained by performing dry dust removal, wet dust removal and wastewater treatment on discharged smoke in the process of iron and steel production, and is called as iron-containing sludge due to high iron-containing content. Each ton of steel can generate 130kg of iron-containing settled sludge with the iron content of 30-70%, which causes a great deal of resource waste and environmental pollution.
Along with the annual increase of the yield of the iron-containing sludge in China, the utilization of the iron-containing sludge becomes an important industrial subject, particularly, the nation puts forward ecological civilized construction and energy-saving emission-reduction policies, enterprises pay more and more attention to the treatment and utilization of smelting solid wastes, the iron-containing sludge is generally returned to sintering or iron making at home and can be used as a cooling agent for converter steelmaking, but along with the development of circular economy, the treated iron-containing sludge is more widely applied, the chemical components and the performance of the treated iron-containing sludge conform to those of building materials and the like, and the treated iron-containing sludge is used for concrete, cement, mortar, bricks and the like.
The iron-containing sediment is a dust-like substance with light weight and tiny particles, the main chemical components in the iron-containing sediment comprise iron (TFe), calcium oxide, magnesium oxide, silicon dioxide, aluminum oxide, phosphorus pentoxide, zinc oxide, manganese oxide, alkali metal and the like, and the accurate determination of the content of various elements has great influence on the trade, utilization and the like of the iron-containing sediment. At present, the method for detecting the chemical components of the iron-containing sludge is widely applied to scientific research institutions, detection institutions and steel mill laboratories. But the standard product of the iron-containing sludge is lacked in the market, and the accurate detection of the content of each component cannot be guaranteed. Therefore, the iron-containing sediment standard sample is prepared, so that the detection of the iron-containing sediment is more standard, and the iron-containing sediment standard sample has great significance for promoting the reuse of the iron-containing sediment resources and promoting the national ecological civilization construction and energy conservation and emission reduction construction. A standard sample is a material or substance with sufficiently uniform and well-defined characteristic values that can be used to calibrate the apparatus, evaluate the measurement method, or assign a value to the material. Since the application of the iron-containing sludge is increased year by year as a metallurgical waste, the product inspection needs corresponding standard samples, and the demand of the iron-containing sludge is necessarily increased.
Therefore, the development of a standard sample containing iron sludge and a preparation method thereof are problems to be solved urgently by the people in the field.
Disclosure of Invention
In view of the above, the present invention provides a standard sample of iron-containing sludge and a preparation method thereof, and in order to achieve the above object, the present invention adopts the following technical scheme:
a standard sample of iron-containing sludge comprises the following components in percentage by weight: CaO 0.3-55.0%, MgO 0.1-36%, SiO21.8-8.0%、P2O50.05-1.0%、TiO20.02-0.5%、MnO 0.05-8.0%、Al2O30.1-6.0%、TFe 1.5-65.0%、ZnO 0.03-16.0%、S 0.2-2.0%、Pb 0.0001-0.003%、As 0-0.0006%、Sb 0.0001-0.004%。
The invention also provides a preparation method of the iron-containing sediment standard sample, which comprises the following steps:
(1) weighing each component according to the iron-containing sediment standard sample, placing the components into a ball mill for grinding, and sieving;
(2) uniformly mixing the sample sieved in the step (1) in a sample mixing machine;
(3) and (3) putting the uniformly mixed sample obtained in the step (2) into a glass bottle, sealing, and obtaining the iron-containing sediment standard sample after uniformity and stability inspection, method research, fixed value and uncertainty evaluation.
Further, the step (1) is carried out by sieving with a sieve of 160-180 meshes.
The adoption of the further beneficial effects is as follows: the granularity of the iron-containing sediment sample is less than or equal to 80 mu m, the granularity of the sample is fine enough, and the sample is more uniform;
further, the mixing speed of the sample mixing machine in the step (2) is 16-20 r/min.
The adoption of the further beneficial effects is as follows: the iron-containing sludge is repeatedly and fully mixed for many times.
The uniformity inspection method in the step (3) comprises the following steps: randomly extracting 20 bottles of samples, detecting, sending to a laboratory for detecting uniformity, measuring for three times in each bottle, counting 20 groups of analysis data of the detection result by adopting an variance analysis method, comprehensively analyzing the uniformity of the standard sample according to the statistic result of the variance analysis and the standard deviation value of original uniformity detection data, and evaluating the uniformity.
The stability testing method in the step (3) comprises the following steps: and (3) respectively carrying out stability test on the samples 24 months after subpackaging, wherein the conditions are in accordance with the general principle and statistical method for standard sample valuing of the standard sample work guide (3) of GB/T15000.3-2008:
Figure BDA0002401395310000031
in the formula xCRMRepresents a characteristic value, x, of a certified standard substancemeasFor measured observations uCRMDenotes the uncertainty, u, of the certified standardmeasRepresenting the uncertainty of the measurement, k is the inclusion factor, k is 2 at a confidence level of 95%, demonstrating that the sample is stable over 24 months.
The research of the method in the step (3) is as follows: for main element CaO, MgO and SiO2、P2O5、TiO2、MnO、Al2O3TFe and ZnO adopt a classical chemical wet analysis method, including a titration method, a gravimetric method and an inductively coupled plasma atomic emission spectrometry analysis, and the fixed values are reliable and accurate;
the method for determining the AS, Sb and Pb values adopts an inductively coupled plasma mass spectrometer ICP-MS for detection, and comprises the following specific steps: weighing iron-containing dust mud samples In a polytetrafluoroethylene beaker, decomposing the iron-containing dust mud samples by using hydrochloric acid, nitric acid and hydrofluoric acid, exhausting fluorine and silicon by using perchloric acid through smoke emission, supplementing the nitric acid, heating and dissolving soluble salts, carrying out volume determination by using a volumetric flask, carrying out a blank experiment along with the experiment, selecting Ge, In and Bi as internal standard elements by using an inductively coupled plasma mass spectrometer under the selected optimal instrument condition, correcting signal drift of the instrument and eliminating the influence of a matrix effect, and calculating the content of each element by measuring the strength of each element according to the selected proton number of arsenic, lead and antimony.
The value setting mode in the step (3) is as follows: 8 laboratories are adopted to carry out fixed value analysis on 8 samples, and more than two accurate and reliable analysis methods are selected for carrying out cooperative fixed value analysis after each laboratory passes national measurement and certification. Providing four data for each laboratory, checking whether abnormal values exist in the group according to the tolerance of the range difference of the method, and then calculating the average value of the data; the mean value of the mean values of the units is taken as the recommended standard value.
Checking whether the results of each group have equal precision by using a Cocklon criterion, checking whether abnormal values exist in each average value by using a Grabbs method, checking normality of all constant value analysis data and the average value of each group number by using a Charperot-Wilk method, regarding that the statistic is between a significance level α -0.01 and a significance level α -0.05, considering that the statistic is normal and reserved, and rejecting abnormal value data except the following cases:
1) normality abnormality, wherein the median value and the average value are basically consistent, the standard deviation can still meet the requirement, and the standard value is still calculated by the average value and reserved;
2) the Grabbs test is an abnormal value, and the standard deviation of the Grabbs test can meet the requirement of the precision of the test and analysis method and is reserved;
3) the Cocker test is an abnormal value, but the intra-group extreme difference is smaller than the allowable difference of the method, and the method is reserved;
after the abnormal values are processed, calculating the arithmetic mean value and the standard deviation of each group of data; the mean of the arithmetic mean of the 8 laboratory data is taken as the standard value and the standard deviation of the single determination counted by the quantitative analysis of the individual components is taken as the standard deviation.
The calculation method for uncertainty evaluation in the step (3) comprises the following steps: the uncertainty comprises uncertainty generated by fixed value statistics and uncertainty generated by bottle-to-bottle heterogeneity and instability of characteristic quantity values counted by uniformity tests, and the uncertainty calculation formula is as follows:
Figure BDA0002401395310000041
the extended uncertainty is: u-k UCRM(when the confidence probability is 95%, k is 2);
1)ucharto determine the degree of uncertainty caused:
Figure BDA0002401395310000042
2)ubbuncertainty introduced by inter-vial heterogeneity counted for homogeneity test:
Figure BDA0002401395310000043
or
Figure BDA0002401395310000044
3) The uncertainty counted by the stability test is:
us=s(β1)·X
in the formula: u. ofsUncertainty introduced for stability s (β)1) Is β1(i.e., slope) standard deviation; x is a given shelf life, X ═ 24;
4) the synthesis uncertainty is:
Figure BDA0002401395310000051
the extended uncertainty is: u-k UCRM(when the confidence probability is 95%, k is 2);
in the formula, S is the standard deviation of single measurement of fixed value statistics, and p is the number of data groups; MS (Mass Spectrometry)amongIs the repeatability variance measured in the uniformity study between bottles; MS (Mass Spectrometry)withinIs the repeatability variance measured in the in-bottle homogeneity study; v is fromDegree, equal to m (n-1); sbbStandard deviation of the inter-vial non-uniformity was counted for uniformity test.
The invention has the beneficial effects that: the iron-containing sediment standard sample disclosed by the invention has the advantages that the main technical indexes of the iron-containing sediment are fixed, the element content gradient is wide, the iron-containing sediment standard sample can meet the requirements of various product analyses on the standard sample by solid wastes such As sintered iron-containing sediment, steelmaking iron-containing sediment and pellet iron-containing sediment, the harmful elements to be detected in environmental evaluations such As As, Pb, Sb and the like in the iron-containing sediment are accurately fixed, the requirements of customers are better met, the trace elements such As As, Sb, Pb and the like are detected by adopting an inductive plasma mass spectrometer (ICP-MS), and the detection method has high precision and accuracy.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The preparation method of the iron-containing sediment standard sample comprises the following steps:
(1) designing the composition and content of the standard sample of iron-containing sludge for chemical analysis, see table 1;
TABLE 1 composition and content of iron-containing sludge Standard sample
Composition (I) Content (wt%)
CaO 0.3-55.0
MgO 0.1-36.0
SiO2 1.8-8.0
P2O5 0.05-1.0
TiO2 0.02-0.5
MnO 0.05-8.0
Al2O3 0.1-6.0
TFe 1.7-65.0
ZnO 0.03-16.0
S 0.2-1.6
Pb 0.0001-0.004
As 0-0.0006
Sb 0.0001-0.003
The invention provides 8 standard sample examples 1-8 of iron-containing sludge, see table 2:
table 2 examples 1-8 standard values and uncertainties for iron-containing sludge standards
Figure BDA0002401395310000061
Figure BDA0002401395310000071
Grinding the iron-containing sediment sample in accordance with the weight percentage in a ball mill, and sieving;
(2) uniformly mixing the sample sieved in the step (1) in a sample mixing machine;
(3) and (3) putting the uniformly mixed sample obtained in the step (2) into a glass bottle, sealing, and obtaining the iron-containing sediment standard sample after uniformity and stability inspection, method research, fixed value and uncertainty evaluation.
And (2) sieving the mixture with a sieve of 160-180 meshes.
In the step (2), the mixing speed of the sample mixing machine is 16-20 r/min.
The uniformity inspection method in the step (3) comprises the following steps: randomly extracting 20 bottles of samples, detecting, sending to a laboratory for detecting uniformity, measuring for three times in each bottle, counting 20 groups of analysis data of the detection result by adopting an variance analysis method, comprehensively analyzing the uniformity of the standard sample according to the statistic result of the variance analysis and the standard deviation value of original uniformity detection data, and evaluating the uniformity.
Numbering in sequence, and analyzing CaO, MgO and SiO with high precision2、P2O5、TiO2、MnO、Al2O3TFe, ZnO, S, As, Sb and Pb are analyzed under the same analysis conditions, uniformity test is carried out, measurement is carried out three times in each bottle, the test sequence is a first time sequence and a second time reverse sequence, measurement is carried out for the third time according to 1, 3, 5, …, 19, 2, 4, 6, … and 20, and the uniformity test analysis method and the sample weighing amount are shown in a table 3;
TABLE 3 homogeneity test analysis method and sample weighing
Figure BDA0002401395310000072
Figure BDA0002401395310000081
Uniformity test analysis data statistics:
according to the statistical result and the original data, the uniformity of the standard sample is good, and the requirement of the uniformity of the standard sample is met.
The stability testing method in the step (3) comprises the following steps:
and (3) respectively carrying out stability test on the samples 24 months after subpackaging, wherein the conditions are in accordance with the general principle and statistical method for standard sample valuing of the standard sample work guide (3) of GB/T15000.3-2008:
Figure BDA0002401395310000082
in the formula xCRMRepresents a characteristic value, x, of a certified standard substancemeasFor measured observations uCRMDenotes the uncertainty, u, of the certified standardmeasRepresenting the uncertainty of the measurement, k is the inclusion factor, k is 2 at a confidence level of 95%, demonstrating that the sample is stable over 24 months.
The research of the method in the step (3) is as follows: for main element CaO, MgO and SiO2、P2O5、TiO2、MnO、Al2O3TFe and ZnO adopt a classical chemical wet analysis method, including a titration method, a gravimetric method and an inductively coupled plasma atomic emission spectrometry analysis, and the fixed values are reliable and accurate;
the AS, Sb and Pb quantitative method in the step (3) can also adopt an inductively coupled plasma mass spectrometer ICP-MS for detection, and the specific steps are AS follows: weighing 0.2g of iron-containing dust mud sample In a polytetrafluoroethylene beaker, decomposing with 15mL of hydrochloric acid, 10mL of nitric acid and 1mL of hydrofluoric acid, smoking 2.5mL of perchloric acid to drive off fluorine and silicon, supplementing 5mL of nitric acid, heating to dissolve soluble salts, fixing the volume In a volumetric flask by 100mL, carrying out blank experiments along with the experiments, selecting Ge, In and Bi as internal standard elements by using an inductively coupled plasma mass spectrometer under the selected optimal instrument condition to correct the signal drift of the instrument and eliminate the influence of matrix effect, and calculating the content of each element by measuring the intensity of each element according to the proton number of the selected arsenic, lead and antimony and a working curve.
Through the comparative analysis among the detection result data of the standard substance, the test value of the national standard method and the test value of the experimental method, the difference between the test result and the standard value is within the standard tolerance range, the accuracy of the comparative result is high, the stability of the test result is good, and the analysis accuracy of the method meets the standard requirement.
The experimental results show that: in the test, samples are decomposed by nitric acid, hydrochloric acid, hydrofluoric acid and perchloric acid, and the elements of arsenic, antimony and lead in the iron-containing dust mud are determined by an ICP-MS method.
The value setting method in the step (3) comprises the following steps: setting values of 8 samples by 8 laboratories, measuring for 4 times in each bottle, taking the arithmetic mean value to represent one datum, providing four data for each laboratory, checking whether an abnormal value exists in the group by extreme difference according to the method allowance, and then calculating the mean value of the datum;
checking whether the results of each group have equal precision by using a Cocklon criterion, checking whether abnormal values exist in each average value by using a Grabbs method, checking normality of all constant value analysis data and the average value of each group number by using a Charperot-Wilk method, regarding that the statistic is between a significance level α -0.01 and a significance level α -0.05, considering that the statistic is normal and reserved, and rejecting abnormal value data except the following cases:
1) normality abnormality, wherein the median value and the average value are basically consistent, the standard deviation can still meet the requirement, and the standard value is still calculated by the average value and reserved;
2) the Grabbs test is an abnormal value, and the standard deviation of the Grabbs test can meet the requirement of the precision of the test and analysis method and is reserved;
3) the Cocker test is an abnormal value, but the intra-group extreme difference is smaller than the allowable difference of the method, and the method is reserved;
after the abnormal values are processed, calculating the arithmetic mean value and the standard deviation of each group of data; the mean of the arithmetic mean of the 8 laboratory data is taken as the standard value and the standard deviation of the single determination counted by the quantitative analysis of the individual components is taken as the standard deviation.
The calculation method for uncertainty evaluation in the step (3) comprises the following steps: the uncertainty comprises uncertainty generated by fixed value statistics and uncertainty generated by bottle-to-bottle heterogeneity and instability of characteristic quantity values counted by uniformity tests, and the uncertainty calculation formula is as follows:
Figure BDA0002401395310000101
the extended uncertainty is: u-k UCRM(when the confidence probability is 95%, k is 2);
1)ucharto determine the degree of uncertainty caused:
Figure BDA0002401395310000102
2)ubbuncertainty introduced by inter-vial heterogeneity counted for homogeneity test:
Figure BDA0002401395310000103
or
Figure BDA0002401395310000104
3) The uncertainty counted by the stability test is:
us=s(β1)·X
in the formula: u. ofsUncertainty introduced for stability s (β)1) Is β1(i.e., slope) standard deviation; x is a given shelf life, X ═ 12;
4) the synthesis uncertainty is:
Figure BDA0002401395310000105
the extended uncertainty is: u-k UCRM(when the confidence probability is 95%, k is 2);
in the formula, S is the standard deviation of single measurement of fixed value statistics, and p is the number of data groups; MS (Mass Spectrometry)amongIs the repeatability variance measured in the uniformity study between bottles; MS (Mass Spectrometry)withinIs the repeatability variance measured in the in-bottle homogeneity study; v is a degree of freedom, equal to m (n-1); sbbStandard deviation of the inter-vial non-uniformity was counted for uniformity test.
The standard sample containing iron sludge is tried by a plurality of units such as sunshine steel, ledeburite and the like, the standard sample is consistently considered to have good uniformity, accurate quantity value and convenient use, the problem that the enterprise can determine the components of the iron sludge without standards is solved, a physical standard is particularly provided for environment detection and pollution element detection, and the determination accuracy is improved.
TABLE 4 use report of sunshine iron and steel group
Figure BDA0002401395310000111
The present invention is not limited to the above preferred embodiments, and any modifications, equivalent replacements, improvements, etc. within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (4)

1. A standard sample of solid waste iron-containing sludge is characterized by comprising 8 powdery solid substances and comprising the following components in percentage by weight: CaO 0.3-55.0%, MgO 0.1-36%, SiO21.8-8.0%、P2O50.05-1.0%、TiO20.02-0.5%、MnO 0.05-8.0%、Al2O30.1-6.0%、TFe 1.5-65.0%、ZnO 0.03-16.0%、S0.2-2.0%、Pb 0.0001-0.003%、As 0-0.0006%、Sb 0.0001-0.004%。
2. The preparation method of the standard sample of the solid waste iron-containing sediment is characterized by comprising the following steps of:
(1) the standard sample of the iron-containing sludge as claimed in claim 1 is obtained from solid waste from steelmaking enterprises such as economic steel, mild steel and green steel;
(2) the standard sample of iron-containing sludge as claimed in claim 1, grinding in a ball mill, and sieving;
(3) uniformly mixing the sample sieved in the step (2) in a sample mixing machine;
(4) and (4) putting the uniformly mixed sample obtained in the step (3) into a glass bottle, sealing, and obtaining the iron-containing sediment standard sample after uniformity, stability inspection, fixed value and uncertainty evaluation.
3. The preparation method of the iron-containing sediment standard sample according to claim 2, wherein the step (1) is carried out by sieving with a sieve of 160-180 meshes.
4. The preparation method of the iron-containing sediment standard sample according to claim 2, wherein the mixing speed of the sample mixer in the step (2) is 16-20 r/min.
CN202010147874.5A 2020-03-05 2020-03-05 Solid waste iron-containing sediment standard sample and preparation method thereof Pending CN111289322A (en)

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Application publication date: 20200616