Principal Component Analysis for Physical Properties of Electric Arc Furnace Oxidizing Slag

2014 ◽  
Vol 627 ◽  
pp. 323-326
Author(s):  
Li Chen ◽  
Tzu Yi Pai
Keyword(s):  
Principal Component Analysis ◽  
Los Angeles ◽  
Physical Properties ◽  
Principal Component ◽  
Component Analysis ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Three Dimension ◽  
Arc Furnace ◽  
Los Angeles Abrasion

In this study, the principal component analysis (PCA) was used to analyze and classify the electric arc furnace oxidizing slag based on physical properties. The results indicated that about 91.44 % information could be explained using the previous four PC. The Los Angeles abrasion test (LAAT) and loss of sodium sulfate soundness test (LSSST) mainly contributed to the first PC, meanwhile the saturated surface-dry specific gravity (SSDSG) contributed mainly to the second PC. The significant physical properties of EAF slag including LAAT, LSSST, and SSDSG could be identified according to PCA. According to the two dimension classification using PC1 and PC2, the 60 samples could be approximately classified into two groups. They could be also classified into two groups in three dimension classification.

scholarly journals Radiation Shielding Property of Concrete Using Electric Arc Furnace Oxidizing Slag Aggregate

2016 ◽  
Author(s):  
Han-Seung Lee ◽  
Hee-Seob Lim ◽  
Jae-Seok Choi
Keyword(s):  
Physical Properties ◽  
Unit Volume ◽  
Gamma Ray ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Radiation Shielding ◽  
X Rays ◽  
Arc Furnace ◽  
Normal Concrete ◽  
Volume Weight

Electric arc furnace oxidizing slag (EAF) has a high density of 3.0~3.7 t/m3 and therefore has a high bulk density when mixed with concrete. Extensive research has been conducted on the use of concrete with high unit volume weight as heavyweight concrete for radiation shielding concrete. In this study, to examine the possibility of developing a radiation shielding concrete, the physical properties of normal concrete, magnetite concrete, EAF concrete, and EAF concrete with added iron powder, were compared. Also, their radiation shielding performance was assessed through shielding tests against X-rays and γ-rays. While the unit volume weight of EAF concrete (3.21 t/m3) appeared lower than that of magnetite concrete (3.5 t/m3), the compressive strength of EAF concrete was greater than those of magnetite and normal concretes. The radiation shielding ratio of magnetite concrete was observed to be 93.9% from the X-ray shielding test, followed by 91.2% of EAF concrete, and 73.7% of normal concrete, indicating a linear relationship with unit volume weight. From the γ-ray shielding test, the performance of EAF and magnetite concretes appeared to be similar. Based on the excellent physical properties and radiation shielding performance of EAF concrete, its potential applicability as radiation shielding concrete was confirmed.

An ERAFNN Prediction of Concrete Compressive Strength Based on Physical Properties of Electric Arc Furnace Oxidizing Slag

2014 ◽  
Vol 627 ◽  
pp. 111-114
Author(s):  
Li Chen ◽  
Tzu Yi Pai
Keyword(s):  
Compressive Strength ◽  
Physical Properties ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Percentage Error ◽  
Arc Furnace ◽  
Concrete Compressive Strength ◽  
Predicting Performance ◽  
Strength Based ◽  
The Mean

In this study, exact radial basis function neural network (ERBFNN) was used to predict the concrete compressive strength based on physical properties of electric arc furnace oxidizing slag. The mean absolute percentage error (MAPE) was used to evaluate the predicting performance. The results indicated the minimum MAPE of 0.08 % and 5.28 % could be achieved when training and predicting, respectively. According to the results, it revealed that ERBFNN was an efficiently tool for providing information.

scholarly journals Evaluation of Physical Characteristics of Typical Maize Seeds in a Cold Area of North China Based on Principal Component Analysis

Processes ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 1167
Author(s):  
Han Tang ◽  
Changsu Xu ◽  
Yeming Jiang ◽  
Jinwu Wang ◽  
Zhenhua Wang ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Physical Properties ◽  
Food Processing ◽  
North China ◽  
Principal Component ◽  
Component Analysis ◽  
Physical Characteristics ◽  
Maize Seeds ◽  
Cold Area ◽  
Agricultural Materials

The physical properties of maize seeds are closely related to food processing and production. To study and evaluate the characteristics of maize seeds, typical maize seeds in a cold region of North China were used as test varieties. A variety of agricultural material test benches were built to measure the maize seeds’ physical parameters, such as thousand-grain weight, moisture content, triaxial arithmetic mean particle size, coefficient of static friction, coefficient of rolling friction, angle of natural repose, coefficient of restitution, and stiffness coefficient. Principal component and cluster comprehensive analyses were used to simplify the characteristic parameter index used to judge the comprehensive score of maize seeds. The results showed that there were significant differences in the main physical characteristics parameters of the typical maize varieties in this cold area, and there were different degrees of correlation among the physical characteristics. Principal component analysis was used to extract the first three principal component factors, whose cumulative contribution rate was over 80%, representing most of the information of the original eight physical characteristic parameters, and had good representativeness and objectivity. According to the test results, the classification standard of the evaluation of the physical characteristics of 15 kinds of maize seeds were determined, and appropriate evaluations were conducted. The 15 kinds of maize seeds were clustered into four groups by cluster analysis, and the physical characteristics of each groups were different. This study provides a new idea for the evaluation and analysis of the physical properties of agricultural materials, and provides a new method for the screening and classification of food processing raw materials.

Use of principal component analysis to evaluate the physical properties of Mahon cheese

1999 ◽  
Vol 210 (1) ◽  
pp. 73-76 ◽  
Author(s):  
Miguel Frau ◽  
Susana Simal ◽  
Antoni Femenia ◽  
Esther Sanjuán ◽  
C. Rosselló
Keyword(s):  
Principal Component Analysis ◽  
Physical Properties ◽  
Principal Component ◽  
Component Analysis

scholarly journals Multivariate Statistical Analysis Applied to Physical Properties of Soybean Cultivars in The Design and Regulation of Post-Harvest Equipment

2021 ◽  
Author(s):  
Paulo Coradi ◽  
Josiane Oliveira ◽  
Larissa Teodoro ◽  
Dágila Rodrigues ◽  
Paulo Teodoro ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Physical Properties ◽  
Manufacturing Industry ◽  
Physical Property ◽  
Principal Component ◽  
Component Analysis ◽  
The Other ◽  
Specific Mass ◽  
Post Harvest ◽  
Soybean Cultivars

Abstract The present work had as aim to evaluate the similar of soybean cultivars according to physical properties as a guiding parameter for decision making in the design and regulation of post-harvest equipment using multivariate analysis. First, Pearson's correlation coefficients were estimated. Posteriorly, principal component analysis was performed to verify the interrelationship between variables and soybean cultivars. A biplot was built with the first two principal components. Finally, a boxplot was built for each variable considering the grouping presented by the analysis of main components. By principal component analysis, we identified the formation of two clusters (G1 and G2) of cultivars. Unit specific mass was the physical property that most contributed to the formation of G1, while the other physical properties contributed to the formation of G2. Soybean cultivars comprising the G1 are more similar to each other only for unit specific mass, and the cultivars allocated in group G2 are more similar for all the other properties evaluated. These results are recommended by the equipment manufacturing industry and the seed processing units to carry out projects and equipment adjustments to efficiently manage the post-harvest of soybean seeds.

Electric Arc Furnace Steel Slag: Base Material for Low-Volume Roads

2003 ◽  
Vol 1819 (1) ◽  
pp. 201-207 ◽  
Author(s):  
Luciana Rohde ◽  
Washington Peres Núñez ◽  
Jorge Augusto Pereira Ceratti
Keyword(s):  
Grain Size ◽  
Size Distribution ◽  
Grain Size Distribution ◽  
Resilient Modulus ◽  
Base Material ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Arc Furnace ◽  
Los Angeles Abrasion ◽  
Furnace Slag

The results of a study of the use of electric furnace slag as pavement aggregates are presented. Slag is generated as waste during steel production in industrial plants that use electric arc furnaces. Tests for the following were carried out to determine the characteristics of the aggregate: grain size distribution, soundness, Los Angeles abrasion, compaction, California bearing ratio, resilient modulus, and expansion. To use the slag as a granular layer, its grain size distribution had to be corrected. This procedure increased the bearing capacity and workability of the material. Evaluation of the expansion potential showed that the slag must be stocked in the open air for at least 4 months before it can be used in pavement construction. After correction of the gradation, the slag presented a resilient modulus that exceeded those of traditional granular materials; its use resulted in thinner and cheaper pavements. The results of the study led to the conclusion that the use of electric arc furnace slag as pavement material is possible and that it provides remarkably good technical quality and economic advantages.

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