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A versatile modeling technique for predicting dielectric strength improvements in gas mixtures for superconducting applications

机译:一种用于预测超导气体混合物中介电强度改善的通用建模技术

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摘要

This study presents a procedure that improves the dielectric strength estimation of gas mixtures for superconducting applications. The procedure introduces a generalization factor into the conventional formula of ionization coefficient, which provides versatility and higher accuracy in the regression process of ionization coefficients obtained by solving the Boltzmann equation of gas mixtures with various combination ratios. Generalization factors, which provide the highest accuracy in the regression process are identified. Then, versatile models are derived for each gas mixture based on the Townsend breakdown criterion. The versatile modeling procedure not only provides improved accuracy in the dielectric strength estimation of gas mixtures, but also presents an effective way of estimating variations in dielectric strength caused by changes in gas composition and temperature. The validity of the versatile modeling procedure is confirmed by breakdown measurements conducted with a number of gas mixtures at various gas pressures and temperatures.
机译:这项研究提出了一种改进用于超导应用的混合气体的介电强度估计的程序。该程序在常规电离系数公式中引入了泛化因子,从而通过求解各种混合比的混合气体的玻耳兹曼方程获得了电离系数的回归过程的通用性和更高的准确性。确定了在回归过程中提供最高准确性的泛化因子。然后,根据Townsend分解标准为每种混合气体导出通用模型。通用的建模过程不仅可以提高气体混合物介电强度估算的准确性,而且可以提供一种有效的方法来估算由气体成分和温度变化引起的介电强度变化。通用建模程序的有效性通过在多种气体压力和温度下用多种气体混合物进行的击穿测量得到证实。

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