CN114671433A - Prediction method for carbonization temperature in thermal regeneration process of waste activated carbon based on TG-MS (transfer radical polymerization-Mass Spectrometry) continuous use - Google Patents
Prediction method for carbonization temperature in thermal regeneration process of waste activated carbon based on TG-MS (transfer radical polymerization-Mass Spectrometry) continuous use Download PDFInfo
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- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 128
- 239000002699 waste material Substances 0.000 title claims abstract description 75
- 238000003763 carbonization Methods 0.000 title claims abstract description 45
- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000004949 mass spectrometry Methods 0.000 title claims abstract description 36
- 238000011069 regeneration method Methods 0.000 title claims abstract description 25
- 230000008929 regeneration Effects 0.000 title claims abstract description 22
- 238000012360 testing method Methods 0.000 claims abstract description 30
- 238000012545 processing Methods 0.000 claims abstract description 20
- 239000002994 raw material Substances 0.000 claims abstract description 19
- 238000001035 drying Methods 0.000 claims abstract description 14
- 238000000227 grinding Methods 0.000 claims abstract description 10
- 238000001179 sorption measurement Methods 0.000 claims abstract description 10
- 238000004458 analytical method Methods 0.000 claims abstract description 9
- 238000007405 data analysis Methods 0.000 claims abstract description 8
- 229910052799 carbon Inorganic materials 0.000 claims description 29
- 239000012159 carrier gas Substances 0.000 claims description 9
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims description 8
- 239000000126 substance Substances 0.000 claims description 8
- 238000005070 sampling Methods 0.000 claims description 7
- 239000007789 gas Substances 0.000 claims description 6
- 229920002521 macromolecule Polymers 0.000 claims description 6
- 239000004570 mortar (masonry) Substances 0.000 claims description 6
- 239000002245 particle Substances 0.000 claims description 5
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims description 4
- 239000001307 helium Substances 0.000 claims description 4
- 229910052734 helium Inorganic materials 0.000 claims description 4
- SWQJXJOGLNCZEY-UHFFFAOYSA-N helium atom Chemical compound [He] SWQJXJOGLNCZEY-UHFFFAOYSA-N 0.000 claims description 4
- 238000012216 screening Methods 0.000 claims description 4
- 238000005303 weighing Methods 0.000 claims description 4
- 238000006482 condensation reaction Methods 0.000 claims description 3
- 238000005336 cracking Methods 0.000 claims description 3
- 238000006477 desulfuration reaction Methods 0.000 claims description 3
- 230000023556 desulfurization Effects 0.000 claims description 3
- 230000001788 irregular Effects 0.000 claims description 3
- 238000002156 mixing Methods 0.000 claims description 3
- 239000003345 natural gas Substances 0.000 claims description 3
- 239000000843 powder Substances 0.000 claims description 3
- 238000000746 purification Methods 0.000 claims description 3
- 239000010865 sewage Substances 0.000 claims description 3
- 239000012855 volatile organic compound Substances 0.000 claims description 3
- 229910052757 nitrogen Inorganic materials 0.000 claims description 2
- 238000004042 decolorization Methods 0.000 claims 1
- 229920006395 saturated elastomer Polymers 0.000 abstract description 6
- 230000009477 glass transition Effects 0.000 abstract 1
- 150000002500 ions Chemical class 0.000 description 14
- ZCYVEMRRCGMTRW-UHFFFAOYSA-N 7553-56-2 Chemical compound [I] ZCYVEMRRCGMTRW-UHFFFAOYSA-N 0.000 description 8
- 229910052740 iodine Inorganic materials 0.000 description 8
- 239000011630 iodine Substances 0.000 description 8
- OKKJLVBELUTLKV-UHFFFAOYSA-N Methanol Chemical compound OC OKKJLVBELUTLKV-UHFFFAOYSA-N 0.000 description 6
- 238000001994 activation Methods 0.000 description 5
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 4
- RAHZWNYVWXNFOC-UHFFFAOYSA-N Sulphur dioxide Chemical compound O=S=O RAHZWNYVWXNFOC-UHFFFAOYSA-N 0.000 description 4
- 230000004913 activation Effects 0.000 description 4
- 238000010438 heat treatment Methods 0.000 description 4
- 238000002474 experimental method Methods 0.000 description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
- 229910001868 water Inorganic materials 0.000 description 3
- QGZKDVFQNNGYKY-UHFFFAOYSA-N Ammonia Chemical compound N QGZKDVFQNNGYKY-UHFFFAOYSA-N 0.000 description 2
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 description 2
- KRHYYFGTRYWZRS-UHFFFAOYSA-N Fluorane Chemical compound F KRHYYFGTRYWZRS-UHFFFAOYSA-N 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 229910002092 carbon dioxide Inorganic materials 0.000 description 2
- 239000001569 carbon dioxide Substances 0.000 description 2
- 229910002091 carbon monoxide Inorganic materials 0.000 description 2
- 239000001257 hydrogen Substances 0.000 description 2
- 229910052739 hydrogen Inorganic materials 0.000 description 2
- 125000004435 hydrogen atom Chemical class [H]* 0.000 description 2
- WSFSSNUMVMOOMR-NJFSPNSNSA-N methanone Chemical compound O=[14CH2] WSFSSNUMVMOOMR-NJFSPNSNSA-N 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- -1 (modified butyl-methyl-methacrylate-styrene Chemical class 0.000 description 1
- RWSOTUBLDIXVET-UHFFFAOYSA-N Dihydrogen sulfide Chemical compound S RWSOTUBLDIXVET-UHFFFAOYSA-N 0.000 description 1
- 229910021529 ammonia Inorganic materials 0.000 description 1
- 239000000306 component Substances 0.000 description 1
- 239000008358 core component Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 125000005842 heteroatom Chemical group 0.000 description 1
- 229910000037 hydrogen sulfide Inorganic materials 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000001819 mass spectrum Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000001699 photocatalysis Effects 0.000 description 1
- 238000011020 pilot scale process Methods 0.000 description 1
- 238000007873 sieving Methods 0.000 description 1
- 238000003756 stirring Methods 0.000 description 1
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- C—CHEMISTRY; METALLURGY
- C01—INORGANIC CHEMISTRY
- C01B—NON-METALLIC ELEMENTS; COMPOUNDS THEREOF; METALLOIDS OR COMPOUNDS THEREOF NOT COVERED BY SUBCLASS C01C
- C01B32/00—Carbon; Compounds thereof
- C01B32/30—Active carbon
- C01B32/354—After-treatment
- C01B32/36—Reactivation or regeneration
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- Chemical & Material Sciences (AREA)
- Organic Chemistry (AREA)
- Inorganic Chemistry (AREA)
- Other Investigation Or Analysis Of Materials By Electrical Means (AREA)
Abstract
The invention discloses a method for predicting carbonization temperature in a thermal regeneration process of waste activated carbon based on TG-MS (glass transition temperature-Mass Spectrometry) connection, which comprises a raw material pretreatment module, a TG-MS test module and a data analysis processing module, wherein the raw material pretreatment module is used for carrying out pretreatment such as drying, grinding and the like on the waste activated carbon with saturated adsorption so as to provide qualified samples for a subsequent TG-MS test module; the TG-MS test module provides an important data set for a subsequent data analysis processing module; the analysis processing module predicts the proper carbonization temperature in the thermal regeneration process of the waste activated carbon through the analysis processing work of the data set, so that the experimental workload is reduced, and the working efficiency is improved.
Description
Technical Field
The invention relates to the technical field of activated carbon adsorption, in particular to a method for predicting carbonization temperature in a thermal regeneration process of waste activated carbon based on TG-MS (thermogravimetry-mass spectrometry).
Background
Through the development of many years, various waste activated carbon regeneration processes are developed by domestic and foreign research institutions and scientific research institutes, mainly comprising a thermal regeneration process, a microwave regeneration process, an ultrasonic regeneration process, a chemical regeneration process, a biological regeneration process, an electrochemical regeneration method, a photocatalytic regeneration method and other regeneration processes, and the thermal regeneration method is widely used due to the mature and reliable process technology.
The thermal regeneration process mainly comprises carbonization and activation processes, wherein the carbonization is a key process for removing heteroatoms, and the carbonization plays a fundamental role in final activation; the carbonization degree directly influences the subsequent activation effect, and further influences the performance of the regenerated active carbon. The usual suitable carbonization temperature is achieved by designing a series of small or pilot scale experiments of carbonization temperature investigation. The method has the defects of large experimental workload, more experimental consumables and high cost.
Disclosure of Invention
In order to overcome the technical problems, the invention aims to provide a method for predicting the carbonization temperature in the thermal regeneration process of waste activated carbon based on TG-MS (thermogravimetry-mass spectrometry), which predicts the carbonization temperature through a raw material pretreatment module, a TG-MS (thermogravimetry-mass spectrometry) test module and a data analysis processing module, and is beneficial to determining the proper carbonization temperature, thereby reducing the experimental amount, improving the working efficiency and saving the experimental cost.
In order to achieve the purpose, the invention adopts the technical scheme that:
a prediction method of carbonization temperature in a thermal regeneration process of waste activated carbon based on TG-MS (thermogravimetric-mass spectrometry) connection comprises three processing steps of a raw material pretreatment module, a TG-MS (thermogravimetric-mass spectrometry) test module and a data analysis processing module;
the raw material pretreatment module comprises the following specific operation steps:
taking a proper amount of waste active carbon samples, drying the waste active carbon samples in an oven, considering the samples to be dried qualified when the mass change of the waste active carbon samples for 30min is less than 1%, taking a proper amount of the waste active carbon samples which are dried qualified, grinding the waste active carbon samples which are dried qualified in a mortar, screening the ground waste active carbon powder by a screen, and collecting the samples in a base of the screen for later use;
the TG-MS (thermogravimetric-mass spectrometry) testing module comprises the following specific operation steps:
fully mixing samples before sampling to ensure uniform sampling, weighing a proper amount of samples in a screen mesh base by using an analytical balance, placing the samples on a thermal analytical balance in a TG-MS (thermogravimetric-mass spectrometry) test module, setting an instrument temperature rise program and carrier gas flow, starting the test instrument, gradually desorbing moisture and micromolecule organic matters adsorbed on waste activated carbon according to temperature, and gradually desorbing macromolecular substances along with the temperature rise through cracking and condensation reaction, desorbing cracked gas and partially condensing macromolecular substances;
the analysis processing module comprises the following specific operation steps:
the experimental data generated by the TG-MS (thermogravimetric-mass spectrometry) test module needs to be analyzed and processed, the type and release amount of a released substance are respectively determined according to the mass-to-charge ratio and the ion current intensity, and the proper carbonization temperature is determined by combining the temperature when the change rate of the temperature and the total ion current intensity is 0 (the differential of the ion current intensity with respect to time is 0).
The TG-MS (thermogravimetric-mass spectrometry) test module selects nitrogen or helium as carrier gas, and the temperature rise program of the instrument is set to be 5-20 ℃/min, and the flow of the carrier gas is 100-500 mL/min.
The temperature of an oven in the raw material pretreatment module is 110 ℃, the drying treatment is carried out for 2-6h, and the ground waste active carbon powder is screened by a 200-mesh screen.
The waste active carbon sample specifically comprises one or more of waste active carbon for sewage treatment, natural gas desulfurization waste active carbon, dye decoloration waste active carbon, VOCs adsorption waste active carbon and gas purification waste active carbon, and the appearance form of the waste active carbon is one or more of powder, irregular particles, regular columns or other forms.
The invention has the beneficial effects that:
the raw material pretreatment module has the main functions of carrying out pretreatment such as drying and grinding on waste activated carbon with saturated adsorption and providing qualified samples for a subsequent TG-MS (thermogravimetric-mass spectrometry) test module; the TG-MS (thermogravimetric-mass spectrometry) test module is a key component of the invention and provides an important data set for a subsequent data analysis processing module; the analysis processing module is a core component of the invention, and the proper carbonization temperature in the thermal regeneration process of the waste activated carbon can be predicted through the analysis processing work of the data set, so that the experimental workload is reduced, and the working efficiency is improved.
Drawings
FIG. 1 is a schematic view of the ion intensity in example 1 of the present invention.
FIG. 2 is a schematic view of the ionic strength in example 2 of the present invention.
Detailed Description
The present invention will be described in further detail with reference to examples.
A prediction method of carbonization temperature in a thermal regeneration process of waste activated carbon based on TG-MS (thermogravimetric-mass spectrometry) joint use mainly treats the waste activated carbon with saturated adsorption, and predicts the proper carbonization temperature of the waste activated carbon with saturated adsorption in the thermal regeneration process by respectively using a raw material pretreatment module, a TG-MS (thermogravimetric-mass spectrometry) test module and a data analysis processing module;
the raw material pretreatment module specifically comprises the steps of drying, grinding and screening the waste activated carbon, wherein the used instruments and equipment are an oven (dryer), a mortar (ball mill), a vibrating screen machine and a standard screen; the device is used for ensuring that the water content of the waste activated carbon is less than 3 percent, the particle size is less than 200 meshes, and simultaneously ensuring uniform sampling and stable release of adsorbed substances of a sample in the heat treatment process;
the TG-MS (thermogravimetry-mass spectrometry) test module is specifically TG-MS (thermogravimetry-mass spectrometry) continuous equipment; the waste activated carbon for saturated adsorption is orderly released along with the rise of temperature in the heat treatment process, and the specific composition of released substances is detected by utilizing a mass spectrum.
The data analysis processing module is specifically used for analyzing and processing data generated by a TG-MS (thermogravimetric-mass spectrometry) module and determining the proper carbonization temperature of the waste activated carbon in the heat treatment process.
The raw material pretreatment module comprises the following specific steps:
and (3) taking a proper amount of waste active carbon samples, and drying for 2-6h in an oven, wherein the samples are considered to be dried qualified when the mass change of the waste active carbon samples for 30min is less than 1%. Grinding a proper amount of qualified dried waste activated carbon sample in a mortar, sieving the ground waste activated carbon powder by a 200-mesh sieve, and collecting the sample in a sieve base for later use;
the TG-MS (thermogravimetry-mass spectrometry) testing module comprises the following specific steps:
fully mixing samples before sampling to ensure uniform sampling, weighing a proper amount of samples in a screen mesh base by using an analytical balance, placing the samples on a thermal analytical balance in a TG-MS (thermogravimetric-mass spectrometry) test module, setting an instrument temperature rise program and carrier gas flow, starting the test instrument, gradually desorbing moisture and micromolecule organic matters adsorbed on waste activated carbon according to temperature, and gradually desorbing macromolecular substances along with the temperature rise through cracking and condensation reaction, desorbing cracked gas and partially condensing macromolecular substances;
the analysis processing module specifically comprises:
for analyzing and processing experimental data generated by a TG-MS (thermogravimetric-mass spectrometry) test module, differential processing needs to be carried out on the ion current intensity, and the proper carbonization temperature is a corresponding temperature point when the change rate of the total ion current intensity is 0 (the differential of the total ion current intensity with respect to time is 0).
The raw materials of the adsorption saturated waste active carbon comprise one or more of waste active carbon for sewage treatment, natural gas desulfurization waste active carbon, dye decoloration waste active carbon, VOCs adsorption waste active carbon and gas purification waste active carbon. The appearance form of the waste activated carbon is one or more of powder, irregular particles, regular columns or other forms.
The raw material pretreatment module mainly comprises drying and grinding procedures, and the waste activated carbon is required to be dried in a drying oven at 110 ℃ for 2-6 h; and grinding the dried waste activated carbon until the particle size is less than 200 meshes.
The thermogravimetric-mass spectrometry data needs to be analyzed and processed, the type and release amount of a released substance are respectively determined according to the mass-to-charge ratio and the ion current intensity, and the proper carbonization temperature is determined in combination with the temperature and the total ion current intensity change rate of 0 (the differential of the ion current intensity with respect to time is 0).
Example 1
(1) Taking a proper amount of waste activated carbon sample 1, and drying in a drying oven at 110 ℃ for 5h to ensure that the mass change of the waste activated carbon sample 1 is within 1% in the last 30 min.
(2) And (3) taking a proper amount of qualified dried waste activated carbon sample 1, grinding the sample in a mortar for 20min, and collecting the ground sample 1.
(3) And (3) placing the ground sample 1 into a 200-mesh screen, vibrating the screen for 20min, and collecting the sample 1 in a base of the screen.
(3) The sample 1 in the base of the screen is fully and uniformly stirred, 3.201mg of the sample 1 is accurately weighed by an analytical balance and placed on a thermal analytical balance of a TG-MS (thermogravimetric-mass spectrometry) test module, the temperature rise rate is set to be 10 ℃/min, the final temperature is 1000 ℃, the carrier gas is helium, the flow rate is 300mL/min, and the TG-MS (thermogravimetric-mass spectrometry) test module is started.
(4) The collected TG-MS (thermogravimetric-mass spectrometry) data were processed for analysis. The experimental data generated by the test module are analyzed and processed, the detected micromolecule substances mainly comprise hydrogen, methane, water, carbon monoxide, formaldehyde, methanol, hydrogen sulfide, carbon dioxide and sulfur dioxide according to the mass-to-charge ratio, and the specific ionic strength is shown in figure 1:
as is clear from the above graph, the rate of change of the total ion current intensity is 0 at about 620 ℃ (the differential of the total ion current intensity with respect to time at 620 ℃) is 0, and therefore the appropriate carbonization temperature is 620 ℃.
(5) Experimental verification
Taking a waste activated carbon sample 1 as a raw material, setting carbonization temperatures of 580 ℃, 600 ℃, 620 ℃, 640 ℃ and 660 ℃ respectively for 5 experiments in total under the conditions of raw material pretreatment, other carbonization and activation conditions, and taking the iodine value of a final regenerated sample as a judgment index to verify the carbonization temperature determined by the method, wherein the results are shown in the following table:
iodine value of activated carbon at different carbonization temperatures
| Experimental number | The carbonization temperature is DEG C | Iodine value mg/g |
| 1 | 580 | 562 |
| 2 | 600 | 850 |
| 3 | 620 | 874 |
| 4 | 640 | 853 |
| 5 | 660 | 863 |
The experimental result shows that under the condition of keeping other conditions unchanged, the iodine value of the finally obtained regenerated activated carbon reaches a higher level when the carbonization temperature is about 620 ℃, so that the carbonization temperature prediction method provided by the invention can accurately predict the proper carbonization temperature.
Example 2
(1) Taking a proper amount of the waste active carbon sample 2, and drying the waste active carbon sample 2 in a drying oven at 110 ℃ for 5 hours to ensure that the mass change of the waste active carbon sample 2 is within 1 percent in the last 30 min.
(2) And (3) taking a proper amount of qualified dried waste activated carbon sample 2, placing the sample into a mortar, grinding for 20min, and collecting the ground sample 2.
(3) And placing the ground sample 2 into a 200-mesh screen, vibrating and screening for 20min, and collecting the sample 2 in a screen base.
(3) Fully stirring the sample 2 in the base of the uniform screen, accurately weighing 2.064mg of the sample 2 by using an analytical balance, placing the sample on a thermal analytical balance of a TG-MS (thermogravimetry-mass spectrometry) test module, setting the heating rate to be 10 ℃/min, setting the final temperature to be 1000 ℃, using helium as carrier gas and setting the flow to be 300mL/min, and starting the TG-MS (thermogravimetry-mass spectrometry) test module.
(4) The collected TG-MS (thermogravimetric-mass spectrometry) data were processed for analysis. The experimental data generated by the test module are analyzed and processed, the detected micromolecule substances mainly comprise hydrogen, ammonia, water, hydrofluoric acid, carbon monoxide, formaldehyde, methanol, carbon dioxide and sulfur dioxide according to the mass-to-charge ratio, and the specific ionic strength is shown in figure 2:
as is clear from the above figure, the change rate of the total ion current intensity is 0 at about 750 ℃ (the differential of the total ion current intensity with respect to time at 750 ℃) and thus the suitable carbonization temperature is 750 ℃.
(5) Experimental verification
Taking a waste activated carbon sample 2 as a raw material, setting carbonization temperatures of 700 ℃, 725 ℃, 750 ℃, 775 ℃ and 800 ℃ respectively for 5 experiments in total under the conditions of raw material pretreatment, other carbonization and activation conditions, and taking the iodine value of a final regenerated sample as a judgment index to verify the carbonization temperature determined by the method, wherein the results are shown in the following table:
iodine value of activated carbon at different carbonization temperatures
| Experimental number | The carbonization temperature is DEG C | Iodine value mg/g |
| 6 | 700 | 633 |
| 7 | 725 | 780 |
| 8 | 750 | 813 |
| 9 | 775 | 807 |
| 10 | 800 | 811 |
The experimental result shows that under the condition of keeping other conditions unchanged, the iodine value of the finally obtained regenerated activated carbon reaches a higher level when the carbonization temperature is about 750 ℃, so that the carbonization temperature prediction method provided by the invention can accurately predict the proper carbonization temperature.
Claims (4)
1. A prediction method of carbonization temperature in a thermal regeneration process of waste activated carbon based on TG-MS (thermogravimetric-mass spectrometry) is characterized by comprising three processing steps of a raw material pretreatment module, a TG-MS test module and a data analysis processing module;
the raw material pretreatment module comprises the following specific operation steps:
taking a proper amount of waste active carbon samples, drying the waste active carbon samples in an oven, considering the samples to be dried qualified when the mass change of the waste active carbon samples for 30min is less than 1%, taking a proper amount of the waste active carbon samples which are dried qualified, grinding the waste active carbon samples which are dried qualified in a mortar, screening the ground waste active carbon powder by a screen, and collecting the samples in a base of the screen for later use;
the TG-MS (thermogravimetric-mass spectrometry) testing module comprises the following specific operation steps:
fully mixing samples before sampling to ensure uniform sampling, weighing a proper amount of samples in a screen mesh base by using an analytical balance, placing the samples on a thermal analytical balance in a TG-MS (thermogravimetric-mass spectrometry) test module, setting an instrument temperature rise program and carrier gas flow, starting the test instrument, gradually desorbing moisture and micromolecule organic matters adsorbed on waste activated carbon according to temperature, and gradually desorbing macromolecular substances along with the temperature rise through cracking and condensation reaction, desorbing cracked gas and partially condensing macromolecular substances;
the analysis processing module comprises the following specific operation steps:
the experimental data generated by the TG-MS (thermogravimetric-mass spectrometry) test module needs to be analyzed and processed, the type and release amount of a released substance are respectively determined according to the mass-to-charge ratio and the ion current intensity, and the proper carbonization temperature is determined by combining the temperature when the change rate of the temperature and the total ion current intensity is 0 (the differential of the ion current intensity with respect to time is 0).
2. The method for predicting the carbonization temperature of the waste activated carbon in the thermal regeneration process based on the combined use of TG-MS (thermal gravimetric mass spectrometry) as claimed in claim 1, wherein nitrogen or helium is selected as a carrier gas in the TG-MS (thermal gravimetric mass spectrometry) test module, the temperature raising program of the instrument is set to be 5-20 ℃/min, and the flow rate of the carrier gas is set to be 100-500 mL/min.
3. The method for predicting the carbonization temperature in the thermal regeneration process of waste activated carbon based on TG-MS (thermogravimetric-mass spectrometry) as claimed in claim 1, wherein the oven temperature in the raw material pretreatment module is 110 ℃, the drying treatment is carried out for 2-6h, and the ground waste activated carbon powder is screened by a 200-mesh screen.
4. The method for predicting the carbonization temperature in the thermal regeneration process of waste activated carbon based on TG-MS (thermogravimetric-mass spectrometry) combination as claimed in claim 1, wherein the waste activated carbon sample specifically comprises one or more of sewage treatment waste activated carbon, natural gas desulfurization waste activated carbon, dye decolorization waste activated carbon, VOCs adsorption waste activated carbon and gas purification waste activated carbon, and the appearance form of the waste activated carbon is one or more of powder, irregular particles, regular columns or other forms.
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2022
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