1967
DOI: 10.1109/tei.1967.298843
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Arc Stability of Electronegative Gases

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Cited by 20 publications
(6 citation statements)
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“…In atmospheric gases byproduct formation is typically limited to ozone production and not a problematic issue for health or the environment. Most fluorinated compounds, including C 5 F 10 O and CF 3 I, form the stable byproduct CF 4 in electrical equipment under arcing conditions. , CF 4 is an extremely long-lived greenhouse gas with much higher GWP than the original compounds. It is also formed in SF 6 near organic materials such as polymeric spacers under partial discharge conditions .…”
Section: Assessment Of Sf6 Replacementsmentioning
confidence: 99%
“…In atmospheric gases byproduct formation is typically limited to ozone production and not a problematic issue for health or the environment. Most fluorinated compounds, including C 5 F 10 O and CF 3 I, form the stable byproduct CF 4 in electrical equipment under arcing conditions. , CF 4 is an extremely long-lived greenhouse gas with much higher GWP than the original compounds. It is also formed in SF 6 near organic materials such as polymeric spacers under partial discharge conditions .…”
Section: Assessment Of Sf6 Replacementsmentioning
confidence: 99%
“…of SF 6 on metal surfaces by direct heating [2]; 3) highpower, laser-initiated dissociation of SF 6 and SF10, mixtures [3][4][5]; 4) shock-tube pyrolysis of SF 6 /0, mixtures [6]; 5) low-pressure rf and microwave discharges [7][8][9][10]; 6) high-pressure arcs [11][12][13][14][15][16][17][18]; 7) spark discharges [19][20][21][22]; and 8) corona and glow type discharges such as those considered here [14,18,[23][24][25][26]. Precluding possible catalytic influences of metal vapors and surface reactions, it might be expected that, although the initial dissociation mechanisms and the degree of gas dissociation in these cases are quite different, the basic subsequent gas-phase chemical processes that yield oxyfluorides should be similar.…”
Section: Introductionmentioning
confidence: 99%
“…As could be seen in Table 1, Extensive regressions for the best-fit QSAR models have been performed by playing with the combinations of various descriptors (see Table S3 for examples in the supporting information). In terms of the correlation coefficient (R 2 ) and the root-mean-square deviation (RMSD) between experimental and theoretical data, the optimal QSAR model was obtained as follows, It should be noted that the other experimental characteristics on the interruption performance except for RRRV are available as well in literature for the selected gases [32,33]. However, these individual experimental data correspond to different arc mechanisms (e.g., plain-break arc) or test conditions (e.g., currents, pressures).…”
Section: Resultsmentioning
confidence: 99%