Materials Laboratory Report No. 1 Particle Size Distribution Van Joseph E. Casalme 2010-14928‚ BS Civil Engineering Institute of Civil Engineering‚ College of Engineering University of the Philippines Diliman‚ Diliman Quezon City 1101 Submitted to: Engr. Christian R. Orozco ABSTRACT This test (ASTM C136-06) determines the grading of materials being used as aggregates using two parameters (coefficient of uniformity and gradation) from particle-size distribution curve. Sieve analysis
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CHAPTER 1 INTRODUCTION Competitiveness in today’s marketplace depends heavily on the ability of a company to handle the several important challenges like reducing total supply chain operating cost and reducing lead-times‚ increasing customer service levels‚ and improving product quality. In Figure a typical non integral supply chain is shown‚ in which the goods flow starts as raw materials at natural resources and ends with products at final customers. Raw material winners keep
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grinding. INTRODUCTION Indeed the ball milling means‚ the reduction of particles to smaller sizes with the help of a ball mill. It can be done in two ways. They are‚\ Dry milling Wet milling Generally‚ this has porcelain or steel ball as the grinding media. Commiution is occurred by several methods in the ball mill grinding. They are compression‚ impact and shear between the moving grinding media and the particles. The rate of this depends on some factors. These are mainly three categories
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EXPERIMENT TITLE : PARTICLE SIZE ANALYSIS (SIEVING METHOD) OBJECTIVE : To determine the particle size distribution of a soil sample by sieving process. This analysis can be used to predict ground water movement and soil classification. THEORY : Particle size distribution analysis is used in engineering soil classification universally. This is because the particle size plays an important role in the selection of soil in construction. It is also used to predict soil water movement. This analysis
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Class numbers The Emerson Class number system measures the likelihood of soil‚ when in contact with water‚ produces a murky cloud of particles. The number system considers the soil consistency that can be used to identify how dispersive the soil is. This‚ in turn‚ aids in the identification of soils that produce ‘dirty water’ where the sedimentation of these particles can harm plant and animal life. 2. Soil Classification 2.1 Atterberg Limits Atterberg limits are used to categorize fine-grained
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......................................................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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