Study on Influence Factors of Calcined Products From Simulated HLLW Based on Gaussian Kriging Agent Model
The calcined product of the high-level liquid waste(HLLW) is the intermediate product of two-step cold crucible glass solidification process. Its performance(such as water content, bulk density, denitration efficiency and so on) has an important impact on the process control of the whole system and...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Nuclear and Radiochemistry
2023-02-01
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| Series: | He huaxue yu fangshe huaxue |
| Subjects: | |
| Online Access: | http://www.jnrc.org.cn/CN/10.7538/hhx.2023.45.01.0076 |
| _version_ | 1797220497003380736 |
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| author | ZHANG Hua LI Bao-jun LI Yang ZHANG Ke-qian HE Cheng HONG Ye |
| author_facet | ZHANG Hua LI Bao-jun LI Yang ZHANG Ke-qian HE Cheng HONG Ye |
| author_sort | ZHANG Hua |
| collection | DOAJ |
| description | The calcined product of the high-level liquid waste(HLLW) is the intermediate product of two-step cold crucible glass solidification process. Its performance(such as water content, bulk density, denitration efficiency and so on) has an important impact on the process control of the whole system and glass product quality. Generally, the factors affecting the performance of calcined products include: the heating temperature of rotary calciner, the inclination angle of furnace body, the rotation speed of furnace body, the composition of simulated waste liquid, etc. In order to obtain the influence degree of different calcined products on their performance, the Gauss Kriging(GP) surrogate model is used to calculate and analyze the influence factors on the experimental data of the transformation process carried out on the bench for the simulated HLLW of spent fuel with burnup of 33 GW·d/t U and 45 GW·d/t U. The results show that the main influencing factor seqencing of the bulk density of calcined products under the experimental conditions is the composition of simulated liquid waste>the angle of furnace body>the rotation speed, and the main influencing factor seqencing of water content is the angle of furnace body> the composition of simulated liquid waste> the rotation speed. At the same time, the established proxy model is used to predict the water content and bulk density of calcined products produced by four heating temperatures, five inclination gradients and two simulated waste liquid component tests in the high-level waste liquid transformation test. It shows that is more suitable for the performance of calcined products, as the heating temperature in the first two areas between 540-680 ℃, and the angle of furnace body with 3%. Therefore, the method of identifying the factors affecting the performance of calcined products by agent model method is feasible, and can provide basic data and technical support for the optimization process. |
| first_indexed | 2024-04-24T12:50:28Z |
| format | Article |
| id | doaj.art-d580ad43d2ba490084bd94ad16a67646 |
| institution | Directory Open Access Journal |
| issn | 0253-9950 |
| language | zho |
| last_indexed | 2024-04-24T12:50:28Z |
| publishDate | 2023-02-01 |
| publisher | Editorial Office of Journal of Nuclear and Radiochemistry |
| record_format | Article |
| series | He huaxue yu fangshe huaxue |
| spelling | doaj.art-d580ad43d2ba490084bd94ad16a676462024-04-06T05:48:46ZzhoEditorial Office of Journal of Nuclear and RadiochemistryHe huaxue yu fangshe huaxue0253-99502023-02-01451768610.7538/hhx.2023.45.01.0076Study on Influence Factors of Calcined Products From Simulated HLLW Based on Gaussian Kriging Agent ModelZHANG Hua0LI Bao-jun1LI Yang2ZHANG Ke-qian3HE Cheng4HONG Ye5China Institute of Atomic EnergyChina Institute of Atomic EnergyChina Institute of Atomic EnergyChina Institute of Atomic EnergyChina Institute of Atomic EnergyChina Institute of Atomic EnergyThe calcined product of the high-level liquid waste(HLLW) is the intermediate product of two-step cold crucible glass solidification process. Its performance(such as water content, bulk density, denitration efficiency and so on) has an important impact on the process control of the whole system and glass product quality. Generally, the factors affecting the performance of calcined products include: the heating temperature of rotary calciner, the inclination angle of furnace body, the rotation speed of furnace body, the composition of simulated waste liquid, etc. In order to obtain the influence degree of different calcined products on their performance, the Gauss Kriging(GP) surrogate model is used to calculate and analyze the influence factors on the experimental data of the transformation process carried out on the bench for the simulated HLLW of spent fuel with burnup of 33 GW·d/t U and 45 GW·d/t U. The results show that the main influencing factor seqencing of the bulk density of calcined products under the experimental conditions is the composition of simulated liquid waste>the angle of furnace body>the rotation speed, and the main influencing factor seqencing of water content is the angle of furnace body> the composition of simulated liquid waste> the rotation speed. At the same time, the established proxy model is used to predict the water content and bulk density of calcined products produced by four heating temperatures, five inclination gradients and two simulated waste liquid component tests in the high-level waste liquid transformation test. It shows that is more suitable for the performance of calcined products, as the heating temperature in the first two areas between 540-680 ℃, and the angle of furnace body with 3%. Therefore, the method of identifying the factors affecting the performance of calcined products by agent model method is feasible, and can provide basic data and technical support for the optimization process.http://www.jnrc.org.cn/CN/10.7538/hhx.2023.45.01.0076gaussian kriging agent modelcalcined productinfluence factors |
| spellingShingle | ZHANG Hua LI Bao-jun LI Yang ZHANG Ke-qian HE Cheng HONG Ye Study on Influence Factors of Calcined Products From Simulated HLLW Based on Gaussian Kriging Agent Model He huaxue yu fangshe huaxue gaussian kriging agent model calcined product influence factors |
| title | Study on Influence Factors of Calcined Products From Simulated HLLW Based on Gaussian Kriging Agent Model |
| title_full | Study on Influence Factors of Calcined Products From Simulated HLLW Based on Gaussian Kriging Agent Model |
| title_fullStr | Study on Influence Factors of Calcined Products From Simulated HLLW Based on Gaussian Kriging Agent Model |
| title_full_unstemmed | Study on Influence Factors of Calcined Products From Simulated HLLW Based on Gaussian Kriging Agent Model |
| title_short | Study on Influence Factors of Calcined Products From Simulated HLLW Based on Gaussian Kriging Agent Model |
| title_sort | study on influence factors of calcined products from simulated hllw based on gaussian kriging agent model |
| topic | gaussian kriging agent model calcined product influence factors |
| url | http://www.jnrc.org.cn/CN/10.7538/hhx.2023.45.01.0076 |
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