Variability of Ignition Furnace Correction Factors

2017 ◽  
Author(s):  
Carolina Rodezno ◽  
Ray Brown ◽  
Grant Julian ◽  
Brian Prowell ◽  
◽  
...  
Keyword(s):  
Correction Factors ◽  
Ignition Furnace

Evaluation of Infrared Ignition Furnace for Determination of Asphalt Content

2003 ◽  
Vol 1861 (1) ◽  
pp. 44-50 ◽  
Author(s):  
Graham C. Hurley ◽  
Brian D. Prowell
Keyword(s):  
Aggregate Size ◽  
Maximum Aggregate Size ◽  
Correction Factors ◽  
Ignition Furnace ◽  
Aggregate Breakdown ◽  
Significant Difference ◽  
Asphalt Content ◽  
Aggregate Loss ◽  
Separate Calibration

The Troxler Model 4730 infrared ignition furnace was compared with a standard Thermolyne ignition furnace. Comparisons conducted with a single unit of each furnace type were based on the correction factor for aggregate loss during ignition, accuracy, and the variability of the measured asphalt content and aggregate degradation during ignition. Forty-eight samples representing two nominal maximum aggregate sizes (9.5 and 19.0 mm), four aggregate types (granite, crushed gravel, limestone, and dolomite), and two asphalt contents (optimum and optimum plus 0.5% asphalt content) were tested in each furnace. The results indicated that the correction factors for aggregate loss during ignition were significantly different for each type of furnace, thus requiring a separate calibration for each type of furnace. In practical terms, the differences for all but the 9.5-mm nominal maximum aggregate size (NMAS) limestone and both dolomite mixtures were less than 0.1%. The samples with the optimum plus 0.5% asphalt content were tested by using the calibration factors developed for a particular mix–furnace combination. The results were analyzed in terms of accuracy (bias) and variability (standard deviation). Neither the measured biases nor the standard deviations for the two types of furnaces were significantly different. The results obtained with four sieve sizes (NMAS and 4.75, 2.36, and 0.075 mm) were evaluated for aggregate breakdown. A comparison of the aggregate gradations recovered from both furnaces indicated no significant difference in the degree of aggregate degradation. A round-robin investigation should be conducted to confirm that the precision of the infrared furnace is similar to the precision of the standard furnace.

Weaning Weight Correction Factors from Angus Field Data

1978 ◽  
Vol 47 (1) ◽  
pp. 124-130 ◽  
Author(s):  
J. H. Anderson ◽  
R. L. Wilham
Keyword(s):  
Field Data ◽  
Correction Factors ◽  
Weaning Weight ◽  
Weight Correction

Поправочные коэффициенты в формулах для расчета содержания примесей: сущность, способы определения и их ограничения

2019 ◽  
Vol 53 (5) ◽  
pp. 55-60 ◽  
Author(s):  
Наум Аронович Эпштейн
Keyword(s):  
Correction Factors ◽  
Response Factors ◽  
Relative Response

Представлены формулы для расчета коэффициентов относительной чувствительности RRF (relative response factors) и поправочных коэффициентов F (correction factors) примесей, а также формулы, необходимые для понимания сущности коэффициентов RRF и F. Рассмотрены основные способы определения поправочных коэффициентов и их ограничения (условия, выполнение которых необходимо для корректного определения RRF и F). Эти ограничения не отражены в Европейской фармакопее и в Фармакопее США, но от их учета зависит правильность определения значений поправочных коэффициентов. Приведены примеры и даны рекомендации для надежного определения и правильного использования поправочных коэффициентов.

Preventing Accidental Spills: Risk Analysis and the Discharge Permitting Process

1994 ◽  
Vol 29 (3) ◽  
pp. 189-197 ◽  
Author(s):  
Frans A. N. van Baardwijk
Keyword(s):  
Risk Analysis ◽  
Surface Waters ◽  
Legal Framework ◽  
Sewage Water ◽  
Correction Factors ◽  
Analysis Method ◽  
Sewage Water Treatment ◽  
Accident Scenarios ◽  
Contaminating Substances ◽  
Permitting Process

The contribution of accidental discharges to the total emission of contaminating substances in surface waters is relatively increasing, as regular discharges are reduced. In The Netherlands a program has been started to develop a quantitative risk analysis method to be used within the discharge permitting process. The methodology takes into account the type of activities and related accident scenarios in terms of failure frequencies and source sizes, correction factors according to specific circumstances, as well as the nature of the receiving system (types of surface waters, but also public sewage water treatment plants). The methodology will provide an indication of the risk reduction needed in terms of reducing the frequency and/or the volume of possible spills. The method itself, the use of it within the legal framework and the relation with the EC-Directives are discussed.

Near-field correction factors for elliptical fibres

1980 ◽  
Vol 16 (15) ◽  
pp. 580 ◽  
Author(s):  
Hansen J.J. Ramskov ◽  
M.J. Adams ◽  
A. Ankiewicz ◽  
F.M.E. Sladen
Keyword(s):  
Near Field ◽  
Correction Factors

Normalization and correction factors for magnetic tunnel junction sensor performances comparison

2021 ◽  
pp. 1-1
Author(s):  
E. Monteblanco ◽  
A. Solignac ◽  
C. Chopin ◽  
J. Moulin ◽  
P. Belliot ◽  
...  
Keyword(s):  
Tunnel Junction ◽  
Magnetic Tunnel Junction ◽  
Correction Factors
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