Bias error reduction using ratios to baseline experiments. Heat transfer case study

Journal Article · Fri Oct 01 00:00:00 EDT 1993 · Journal of Thermophysics and Heat Transfer; (United States)

DOI:https://doi.org/10.2514/3.495· OSTI ID:7164247

Chakroun, W; Taylor, R P; Coleman, H W; Steele, W G ^[1]

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1. Mississippi State Univ., MS (United States)

Employing a set of experiments devoted to examining the effect of surface finish (riblets) on convective heat transfer as an example, this technical note seeks to explore the notion that precision uncertainties in experiments can be reduced by repeated trials and averaging. This scheme for bias error reduction can give considerable advantage when parametric effects are investigated experimentally. When the results of an experiment are presented as a ratio with the baseline results, a large reduction in the overall uncertainty can be achieved when all the bias limits in the variables of the experimental result are fully correlated with those of the baseline case. 4 refs.

• OSTI ID: 7164247
• Journal Information: Journal of Thermophysics and Heat Transfer; (United States), Vol. 7:4; ISSN 0887-8722
• Country of Publication: United States
• Language: English

Related Subjects

42 ENGINEERING
BOUNDARY LAYERS
MATHEMATICAL MODELS
CONVECTION
FINS
THERMAL ANALYSIS
TEMPERATURE MEASUREMENT
ENERGY TRANSFER
HEAT TRANSFER
LAYERS
MASS TRANSFER
420400* - Engineering- Heat Transfer & Fluid Flow