2013
DOI: 10.1016/j.ijheatmasstransfer.2013.05.055
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Solution of an inverse convection problem by a predictor–corrector approach

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Cited by 14 publications
(8 citation statements)
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“…Error in the prediction of xS from several sampled cases within the jet with source elevation known (min:1.89%, max:4.53%, median:3.24%) [16]. Table 8 Error in predicting source axial location (xS), source strength (US and TS) from a few sample cases within the jet, search shape with 9 pts, utilizing experimental data [16]. Unfortunately, the error sensitive nature of the methodology when solving for the source temperature the errors are much higher than desirable.…”
Section: Resultsmentioning
confidence: 99%
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“…Error in the prediction of xS from several sampled cases within the jet with source elevation known (min:1.89%, max:4.53%, median:3.24%) [16]. Table 8 Error in predicting source axial location (xS), source strength (US and TS) from a few sample cases within the jet, search shape with 9 pts, utilizing experimental data [16]. Unfortunately, the error sensitive nature of the methodology when solving for the source temperature the errors are much higher than desirable.…”
Section: Resultsmentioning
confidence: 99%
“…The basis for the solution strategy was described in the paper by VanderVeer and Jaluria [9], which was intended to solve the inverse plume in a crosswind. This methodology solved for the 2-D location and source strength of a plume in a crossflow.…”
Section: Inverse Solution Methodologymentioning
confidence: 99%
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