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Gas Insulation Strength Prediction Model Based on Group Contribution
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Shaoli ZHANG, Qiulin ZHAO, Cong WANG, Xinyi QIU, Renjie CAO, Zhong ZHENG, Youping TU
Insulating Materials | 2022, 55(9) : 68 - 73
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Insulating Materials | 2022, 55(9): 68-73
Insulation Technology
Gas Insulation Strength Prediction Model Based on Group Contribution
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Shaoli ZHANG, Qiulin ZHAO, Cong WANG, Xinyi QIU, Renjie CAO, Zhong ZHENG, Youping TU
Affiliations
  • Beijing Key Laboratory of High Voltage & EMC, North China Electric Power University, Beijing 102206, China
Published: 2022-09-20 doi: 10.16790/j.cnki.1009-9239.im.2022.09.012
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Mastering the theoretical calculation model of gas relative insulation strength can greatly accelerate the research of SF6 substitute gas. On the basis of molecular topological index theory, a molecular topological index of insulating gas was proposed, and the electrical topological state indexes of 22 types of atomic for 47 insulating gas molecules were calculated. At the same time, the electrical topological state indexes of carbonyl and cyano groups were introduced. A multivariate linear prediction model of gas insulation strength was constructed by stepwise multiple regression method, and the groups which have significant indigenous influence on the insulation strength were obtained by screening principle. The results show that >CH-, =C=, -F, -C≡N, -Cl, and >C=O have significant effects on the gas insulation strength. Among them, -F, -C≡N, -Cl, and >C=O have higher electronegativity, and their electrical topological state index (ETSI) value is high and has a positive contribution to the insulation strength. These groups can be preferentially considered when designing and screening SF6 substitute gases.

insulating gas  /  insulation strength  /  quantitative structure-property relationship model  /  group
Shaoli ZHANG, Qiulin ZHAO, Cong WANG, Xinyi QIU, Renjie CAO, Zhong ZHENG, Youping TU. Gas Insulation Strength Prediction Model Based on Group Contribution[J]. Insulating Materials, 2022 , 55 (9) : 68 -73 . DOI: 10.16790/j.cnki.1009-9239.im.2022.09.012
Year 2022 volume 55 Issue 9
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Article Info
doi: 10.16790/j.cnki.1009-9239.im.2022.09.012
  • Receive Date:2021-11-16
  • Online Date:2025-12-23
  • Published:2022-09-20
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  • Received:2021-11-16
  • Revised:2022-01-10
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    Beijing Key Laboratory of High Voltage & EMC, North China Electric Power University, Beijing 102206, China
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https://castjournals.cast.org.cn/joweb/jycl/EN/10.16790/j.cnki.1009-9239.im.2022.09.012
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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