scholarly journals Dimensional characteristics of grist intermediate products obtained in the first two technological passages in the reduction phase of an industrial milling plant

2021 ◽  
Vol 286 ◽  
pp. 04006
Author(s):  
Gabriel-Alexandru Constantin ◽  
Gheorghe Voicu ◽  
Elena-Madalina Stefan ◽  
Mariana-Gabriela Munteanu ◽  
Gabriel Musuroi ◽  
...  
Keyword(s):  
Experimental Data ◽  
Correlation Coefficients ◽  
Nonlinear Correlation ◽  
Intermediate Products ◽  
Granulometric Analysis

After the wheat is coarsely grinded in the breakage technological phase and after a certain percentage of flour and bran has been extracted here, the crushing is continued in the reduction technological phase. The paper presents the flow of grist products at the first two technological passages from the reduction phase of an industrial milling unit. Samples taken from these two technological passages were subjected to a granulometric analysis, and with the experimental data a nonlinear correlation was performed with the Rosin-Rammler law, obtaining correlation coefficients of over 0.954. The paper also discusses the limits of the dimensions between which the particles of each fraction are sorted at the first two technological passages in the reduction phase. The analysis performed in this paper can serve in establishing the fabrics of the sifting frames from the plansifter compartments, respectively when adjusting the roller mills.

scholarly journals Fractal Properties of Perfusion Heterogeneity in Optimized Arterial Trees

2003 ◽  
Vol 122 (3) ◽  
pp. 307-322 ◽  
Author(s):  
Rudolf Karch ◽  
Friederike Neumann ◽  
Bruno K. Podesser ◽  
Martin Neumann ◽  
Paul Szawlowski ◽  
...  
Keyword(s):  
Experimental Data ◽  
Nearest Neighbor ◽  
Correlation Coefficients ◽  
Fractal Dimensions ◽  
Coronary Perfusion Pressure ◽  
Tree Structure ◽  
Coronary Perfusion ◽  
Tree Model ◽  
Blood Flows ◽  
Regional Blood Flows

Regional blood flows in the heart muscle are remarkably heterogeneous. It is very likely that the most important factor for this heterogeneity is the metabolic need of the tissue rather than flow dispersion by the branching network of the coronary vasculature. To model the contribution of tissue needs to the observed flow heterogeneities we use arterial trees generated on the computer by constrained constructive optimization. This method allows to prescribe terminal flows as independent boundary conditions, rather than obtaining these flows by the dispersive effects of the tree structure. We study two specific cases: equal terminal flows (model 1) and terminal flows set proportional to the volumes of Voronoi polyhedra used as a model for blood supply regions of terminal segments (model 2). Model 1 predicts, depending on the number Nterm of end-points, fractal dimensions D of perfusion heterogeneities in the range 1.20 to 1.40 and positively correlated nearest-neighbor regional flows, in good agreement with experimental data of the normal heart. Although model 2 yields reasonable terminal flows well approximated by a lognormal distribution, it fails to predict D and nearest-neighbor correlation coefficients r1 of regional flows under normal physiologic conditions: model 2 gives D = 1.69 ± 0.02 and r1 = −0.18 ± 0.03 (n = 5), independent of Nterm and consistent with experimental data observed under coronary stenosis and under the reduction of coronary perfusion pressure. In conclusion, flow heterogeneity can be modeled by terminal positions compatible with an existing tree structure without resorting to the flow-dispersive effects of a specific branching tree model to assign terminal flows.

Analysis on Factors Affecting Biodiesel Production Rate Based on Probability Theory

2013 ◽  
Vol 860-863 ◽  
pp. 1030-1034
Author(s):  
Yi Wei ◽  
Jing Zhang ◽  
Mu Zhang ◽  
Yin Dong Zhang
Keyword(s):  
Experimental Data ◽  
Probability Theory ◽  
Production Rate ◽  
Reaction Temperature ◽  
Correlation Coefficients ◽  
Biodiesel Production ◽  
Reaction Conditions ◽  
Factors Affecting ◽  
Orthogonal Experiments ◽  
Optimum Reaction

Biodiesel orthogonal experiments require large amount of experimental data collected and in order to save experimental time, referring to the correlation coefficients analysis in probability theory, the factors which affect the yield of biodiesel are analyzed. Under the same reaction temperature, the range order is as follows: the molar ration of alcohol to oil, the dosage of catalyst and reaction of time. At the same time, it provides theoretical guidance for obtaining optimum reaction conditions .

scholarly journals Uptake of divalent manganese from aqueous solution using cation exchange resins

2016 ◽  
Vol 12 (4) ◽  
pp. 4312-4323
Author(s):  
Ayman Abdallah Ahmed
Keyword(s):  
Experimental Data ◽  
Aqueous Solution ◽  
Kinetic Model ◽  
Cation Exchange ◽  
Batch Reactor ◽  
Kinetic Equations ◽  
Correlation Coefficients ◽  
Manganese Removal ◽  
Cation Exchange Resins ◽  
Exchange Resins

The present work deals with the removal of highly toxic manganese ion from aqueous solution using cation exchange resins namely, Amberjet 1500H, Amberjet 1300H and Amberlite IRC86. The study was carried out in media of various ionic strengths (1.98-9.98 mmol/L), different resin dose (0.25-8.0 gm) and a wide solution acidity range (0.001-1.0 M), in addition to at three temperatures (293-318 K).The aim of this study was to understand the mechanisms that govern manganese removal and find a suitable equilibrium isotherm and kinetic model for the manganese removal in a batch reactor. The experimental isotherm data were analyzed using the Langmuir, Freundlich, Temkin and Dubinin–Radushkevich (D–R) equations. The experimental data were analyzed using four adsorption kinetic models – the pseudo first- and second-order, intraparticle diffusion and the Elovich equations – to determine the best fit equation for the adsorption of manganese ions onto the resins. The rate constants, equilibrium capacities and related correlation coefficients for each kinetic model were calculated and discussed. Also, predicted qt values from the kinetic equations were compared with the experimental data. Thermodynamic parameters, involving ΔH, ΔS and ΔG were also calculated from graphical interpretation of the experimental data

scholarly journals Some Physico-Mechanical Characteristics of the Wheat Grist in the Breakage Phase during Milling Process

1970 ◽  
Vol 66 (2) ◽  
Author(s):  
Gheorghe VOICU ◽  
Mihaela-Florentina DAVID ◽  
Sorin-Ştefan BIRIŞ ◽  
Mădălina TUDOSIE
Keyword(s):  
Experimental Data ◽  
Regression Analysis ◽  
Mechanical Characteristics ◽  
Correlation Coefficients ◽  
Milling Process ◽  
Technological Scheme ◽  
Specific Mass ◽  
Modern Equipment ◽  
Before And After ◽  
Ground Material

In the paper is presented a technological scheme of the breakage phase for a wheat mill with capacity of 200 t / 24 h and the results of the research experimental regarding the features of the grindings before and after passing through the mills with rollers. Researches have been making in SC Spicul SA equipped with the modern equipment like Bühler type. Ground material and grind product was analyzed with a sieve shaker for determine the degree of grinding. Determinations were made of specific mass and materials density to establish the growth of the area in the grind process. The paper presents graphs regarding to separation on the sieves of the sieve shaker for the five roller mills, for the breakage phase, results by regression analysis of the experimental data obtained with relationships Rosin-Rammler and respectively Schuhman and the coefficients determined by this analysis. Also, are presented the correlation coefficients of R2, which have values in the limits R20.980 for equation Rosin-Rammler and R20.945 for equation Schuhman. The results presented in the paper are important to specialists in the milling industry

Modelling of Rheological Behaviour of Pulps and Purées from Fresh and Frozen-Thawed Murta (Ugni molinae Turcz) Berries

2012 ◽  
Vol 8 (3) ◽  
Author(s):  
Kong S. Ah-Hen ◽  
Antonio Vega-Gálvez ◽  
Nelson O. Moraga ◽  
Roberto Lemus-Mondaca
Keyword(s):  
Experimental Data ◽  
Activation Energy ◽  
Rapid Change ◽  
Correlation Coefficients ◽  
Rheological Behaviour ◽  
Type Equation ◽  
Effect Of Temperature ◽  
Rheological Models ◽  
Temperature Activation ◽  
Ugni Molinae

Abstract The rheological behaviour of purées and pulps from fresh and frozen-thawed murta (Ugni molinae Turcz) berries was studied at 30, 45, 60 and 75 °C. The Mitschka method was shown to be applicable to the murta berries, with its products showing non-Newtonian pseudoplastic behaviour. Rheological models as Ostwald-de Waele, Herschel-Bulkley, Bingham, Casson and Mizrahi-Berk fitted the experimental data with high values for correlation coefficients. Effect of temperature was evaluated using an Arrhenius-type equation. Compared to the murta pulp, the fresh or frozen-thawed murta purées had higher apparent viscosity at any shear rate and would undergo a more rapid change in viscosity with temperature. Activation energy for fresh and frozen-thawed purées were 22.335 kJ mol-1 (R2 = 0.9225), and 16.478 kJ mol-1 (R2 = 0.9654) respectively, while for fresh and frozen-thawed pulp Ea values of 8.967 kJ mol-1 (R2 = 0.9618) and 6.943 kJ mol-1 (R2 = 0.9773) were determined respectively.

A new developed semi-empirical formula for the (α,p) reaction cross-section at 19±1 MeV

2019 ◽  
Vol 34 (06) ◽  
pp. 1950044 ◽  
Author(s):  
Hasan Özdoğan ◽  
Mert Şekerci ◽  
Abdullah Kaplan
Keyword(s):  
Experimental Data ◽  
Cross Section ◽  
Empirical Formula ◽  
Reaction Cross Section ◽  
Fusion Reactor ◽  
Correlation Coefficients ◽  
Reaction Cross ◽  
Reaction Type ◽  
Semi Empirical ◽  
Exfor Database

The aim of this study is to obtain a new semi-empirical formula for [Formula: see text] reactions concerning the possible usage areas of this reaction type, where the fusion reactor studies could be pointed as one of them. The formula development studies have been performed by considering the existing semi-empirical formula modification studies in the literature where an absence of [Formula: see text] reaction has been realized. The suitable experimental data, existing on the EXFOR database, have been used to generate the [Formula: see text] reaction cross-section systematics in the energy range of 19 [Formula: see text]1 MeV. Also, statistical analyses have been performed and the correlation coefficients [Formula: see text] generated by fit parameters have been given.

Was This in Your Statistics Textbook? VI. Regression and Covariance

1989 ◽  
Vol 25 (3) ◽  
pp. 291-311 ◽  
Author(s):  
D. J. Finney
Keyword(s):  
Experimental Data ◽  
Parameter Estimation ◽  
Final Section ◽  
Correlation Coefficients ◽  
Regression Function ◽  
Covariance Analysis ◽  
Analysis Of Covariance ◽  
Regression Equations ◽  
Missing Observations ◽  
Proper Number

SUMMARYThis paper concludes the series with comments on regression, covariance analysis, and correlation. The importance of choosing a regression function, whether linear or non-linear, appropriate to problem and data is emphasized and the nature of parameter estimation is outlined. The merits of transformation of variates and the importance of introducing a proper number of parameters are briefly discussed. Common misunderstandings of the meaning of ‘the regression of y on x’ for experimental data are related to the analysis of covariance.Regression with two or more regressors increases the computations but does not alter principles. Adjustment of means by use of covariance analysis is a much under-exploited technique in its direct sense; it also offers a computationally convenient way of handling missing observations and related problems. An attempt is made to overcome the confusions of interpretation between the regression equations of y on x and of x on y. A final section warns against misuses of correlation coefficients; the opportunities for misuse are too many for brief summary, yet such coefficients can be helpful when interpreted with care.

scholarly journals Measurement of spin correlation coefficients p-$^{3}$He scattering at 65 MeV

2020 ◽  
Author(s):  
Minami Inoue ◽  
Kimiko Sekiguchi ◽  
Kenjiro Miki ◽  
Atomu Watanabe ◽  
Shinnosuke Nakai ◽  
...  
Keyword(s):  
Experimental Data ◽  
Correlation Coefficient ◽  
Correlation Coefficients ◽  
Spin Correlation ◽  
Numerical Calculations ◽  
Proton Beams ◽  
Polarized Proton ◽  
Analyzing Power

We performed the experiment of p–^{3}3He scattering at 65 MeV by using polarized proton beams and the newly constructed polarized ^{3}3He target. The proton analyzing power A_{y}Ay, the ^{3}3He analyzing power A_{y}^{T}AyT, and the spin correlation coefficient C_{yy}Cyy were measured. In the conference, the experimental data were compared with the rigorous numerical calculations based on various nuclear potentials. Large discrepancies between the experimental data and the calculations were found in the A_{y}^{T}AyT and the {C_{yy}}Cyy at the backward angles.

scholarly journals Degradation study of tris(2-butoxyethyl) phosphate with TiO2 immobilized on aluminum meshes employing artificial neural networks

2019 ◽  
Vol 80 (6) ◽  
pp. 1163-1173
Author(s):  
Ramon Vinícius Santos de Aquino ◽  
Ada Azevedo Barbosa ◽  
Rafaela Ferreira de Carvalho ◽  
Marina Gomes Silva ◽  
Welenilton José do Nascimento Júnior ◽  
...  
Keyword(s):  
Experimental Data ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Correlation Coefficients ◽  
Suspension System ◽  
Degradation Study ◽  
Lettuce Seeds ◽  
Degradation Rates ◽  
Artificial Neural ◽  
Aluminum Surfaces

Abstract This work presents the study of tris(2-butoxyethyl) phosphate advanced oxidation in TiO2-containing systems. Titania was immobilized on aluminum surfaces from recyclable materials and the results were compared with the suspension system. The initial concentration of photocatalyst and the oxidizing agent was optimized in a 23 experimental design and a kinetic study of the reactions was performed in the selected conditions. The experimental data were fitted to the pseudo-first-order model (rate constants estimated at 0.0129 ± 0.0009 and 0.0079 ± 0.0006 min−1 for the systems with TiO2 in suspension and immobilized, respectively). Artificial neural networks were also employed to model the experimental data and they presented correlation coefficients superior to 0.98 in all the training operations. After five cycles of degradation, the TiO2–aluminum meshes exhibited a very low decrease in photocatalytic activity (inferior to 2%). Acute phytotoxicity assays demonstrated that the byproducts of the oxidation of TBEP molecules are less toxic than the raw samples regarding lettuce seeds. For both TiO2 systems, COD decreased considerably as a consequence of the degradation. The immobilized TiO2 system achieved similar degradation rates when compared with the suspension system.

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