......................................................5 TEST PROCEDURE ...........................................................................................................6 5.1 Initial Separation of the Plus and Minus 1/4 in. (6.3 mm) Particles ........................6 5.2 Weigh the Plus 1/4 in. (6.3 mm) Portion of the Sample ..........................................6 5.3 Sieve the Plus 1/4 in. (6.3 mm) Material .................................................................7 5
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3 National Kaohsiung University of Applied Sciences‚ 415 Chien-Kung Road‚ Kaohsiung 807‚ Taiwan‚ R.O.C. Abstract. Swarm intelligence (SI) is based on collective behavior of selforganized systems. Typical swarm intelligence schemes include Particle Swarm Optimization (PSO)‚ Ant Colony System (ACS)‚ Stochastic Diffusion Search (SDS)‚ Bacteria Foraging (BF)‚ the Artificial Bee Colony (ABC)‚ and so on. Besides the applications to conventional optimization problems‚ SI can be used in controlling
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4002DFPHAR PHYSICAL PHARMACEUTICS Particle Size Analysis The study of particle dimensions is important in many areas of manufacture and technology. Many solid materials are at some point powder or granular in form e.g. foods (grain‚ flour‚ sugar)‚ ceramics and building materials (sand and cement). In pharmaceutical development and manufacture‚ particle size greatly influences physical properties such as powder flow‚ powder mixing‚ drug dissolution‚ deposition from inhaler devices and the stability
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Objective The purpose of this lab is to determine the particle size distribution of the fine and coarse aggregates by sieving. Equipment and Material Balance‚ sensitive to within 0.1% of the weight of the sample to be tested Standard sieves for grading of fine aggregates- 4.75 mm‚ 2.36 mm‚ 1.18 mm‚ 300m‚ 150m (# 4‚ 8‚ 16‚ 50 and 100) Standard sieves for grading coarse aggregates- 1 ½ in.‚ 1 in.‚ ¾ in.‚ ½ ‚ 3/8 in.‚ 4 in‚ plus a 4.75 mm(#4 sieve) Fine (0.5 Kg) and coarse (2 to 20 Kg depending
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A Swarm Intelligence Method Applied to Manufacturing Scheduling Davide Anghinolfi‚ Antonio Boccalatte‚ Alberto Grosso‚ Massimo Paolucci‚ Andrea Passadore‚ Christian Vecchiola‚ DIST – Department of Communications Computer and System Sciences‚ University of Genova STWTSDS problem. Regarding the latter point‚ note that the approach in [4] seems to be the only previous DPSO application to the single machine total weighted tardiness (STWT) problem. The rest of the paper is organized as follows. Section
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sample. The hydrometer analysis doesn’t require the soil to be passed through a series of sieves like in the sieve analysis. The analysis measures the rate of sedimentation. The larger the particle‚ the quicker it will fall out of sedimentation. A dispersion mixture is used to help the soil particles into suspension. Because the dispersion mixture increases the specific gravity of the resulting liquid‚ a composite correction for the hydrometer reading must be applied. It is not possible to
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calculate the data in the following table. Db = (w2 – w1) / Vb Where Db = Bulk Density (kg/m3) w2 = Cylinder + Aggregate Weight (kg) w1 = Cylinder Wt. (kg) Vb = Aggregate bulk volume (m3) Void Content = 1 - (Db/ Dp) x 100% Where Dp = Particle Density (kg/m3) = 2600 kg/m3 Please note that
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to smallest going from the top to the bottom of the stack. All the soil particles retained on a particular sieve will have an ‘intermediate size’ or ‘average diameter’ that is smaller than the opening of the sieve above and larger than all the sieves below. Thus the individual particle sizes of the soil are not measured but the range of sizes (i.e. smaller than the sieve above and larger than the sieve retaining the particle) is determined. The grain size distribution is obtained by plotting the
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PHYSICAL AND PLASTICITY CHARACTERISTICS EXPERIMENTS #1 - 5 CE 3143 October 7‚ 2003 Group A David Bennett 0 TABLE OF CONTENTS 1. Experiment # 1: Determination of Water Content (August 26‚ 2003) pp. 1-3 2. Experiment # 2: Determination of Specific Gravity of Soil (Sept. 2‚ 2003) pp. 4-7 3. Experiment # 3: Grain Size Analysis: Sieve Analysis (Sept. 9‚ 2003) pp. 8-12 4. Experiment # 4: Grain Size Analysis: Hydrometer Analysis (Sept. 16‚ 2003) pp. 13-18 5.
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perform (therefore economic) key tests; 1. Particle size distribution (P.S.D.) or sieve analysis. 2. Plastic properties; Liquid limit test Plastic limit test Soil is initially classified into either coarse or fine soil on the basis of particle size. Coarse soil (Granular) Physical characteristics and appearance are influenced by the distribution of particle sizes within the soil‚ i.e.>0.063mm (1/16mm) A granular soil is classified according to its Particle Size Distribution. Fine soil (Cohesive)
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