inside a bubble 4.0 m below the surface of the liquid. Density of alcohol = 806 kg m-3 1.4 atm Figure 1 Figure 2 4. Blaise Pascal duplicated Torricelli’s barometer using a liquid of density 984 kg/m3 as the working liquid (Fig. 3). What was the height h of the liquid column for normal atmospheric pressure? 10.5 m 5. A frog in a hemispherical pod finds that he just floats without sinking in a fluid of density 1.35 g/cm3. If the pod has a radius of 6.00 cm and negligible
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lowers the market value to ensure proper popping‚ the density also plays a part in the popping that should occur. Purpose: To perform the quality control tests and competitive analysis in the popcorn industry‚ and see if the kernels meet industry standards. Part A: Measurement of Density Procedures: Weigh 10 kernels of unpopped popcorn. Find the volume of those kernels using water displacement in a 10-ml graduated cylinder. Calculate density of sample(D=M/V). Repeat 3 times using new a new
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will be a significant difference in velocity when compared to their individual velocity. Gradiomanometers: This type of production logging tool measures fluid densities of subsurface fluids. It detects the source of oil/water/gas in the production profile due to the difference in density. It uses a scale from 0.3- 1.2‚ with 1 being the density of
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technician services mailing machines at companies in the Phoenix area. Depending on the type of malfunction‚ the service call can take one‚ two‚ three‚ or four hours. The different types of malfunctions occur at about the same frequency. a. Develop a probability distribution for the duration of a service call Answer:
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CH3041 Chemical Engineering Unit Operations II Lau Wai Man‚ Raymond Jiang Rongrong Office: N1.2-B2-32 Office: N1.2-B1-08 Phone: 6316 8830 Phone: 6514 1055 Email: wmlau@ntu.edu.sg Email: rrjiang@ntu.edu.sg Course Outline • Particulate Technology – Particle size analysis – Packed bed – Gas-solid fluidized bed – Gas-liquid-solid fluidized bed • Filtration • Crystallization • Drying Covered by Prof. Jiang Rongrong Grading • Continuous Assessment – 30% Quizzes • Exam – 70% Final
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Graphene based Supercapacitors with Improved Specific Capacitance and Fast Charging Time at High Current Density Santhakumar Kannappana‚ Karthikeyan Kaliyappanb‚c‚ Rajesh Kumar Maniand‚ Amaresh Samuthira Pandianb‚ Hao Yange ‚ Yun Sung Leeb‚ Jae-Hyung Janga‚f and Wu Lua‚e* a) Department of Nanobio Materials and Electronics‚ Gwangju Institute of Science and Technology‚ Gwangju 500-712‚ Republic of Korea. b) Faculty of Applied Chemical Engineering‚ Chonnam National University‚ Gwangju‚ 500757
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25.3 °C | 25.2 °C | Temperature of hot water and metal in hot water bath: | 100.3 °C | 100.3 °C | 100.3 °C | Final temperature reached in the calorimeter: | 27.5 °C | 32.2 °C | 28.0 °C | Calculations: Part I : 1.) m = mass of water = density x volume = 1 x 26 = 26 grams ΔT = T(mix) - T(water) = 38.9 - 25.3 = 13.6 q(water) = 26 x 13.6 x 4.18 q(water) = 1478 Joules 2.) qmetal = -205 J = 15.363 g X c X (27.2 - 100.3 C) c = 0.183 J/gC Part II: q(water) = - q(metal) q(metal) =
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OIL SPILL PROJECT NO.6 Statement of Problem: In this project‚ the goal is to apply the knowledge of fluid dynamics in order to determine the effect of two parameters (oil density and volume fraction) on how long will it take for an oil drop to rise a distance of 1m in an oil/water distribution. Data: The following information was provided; | |Water | | | | | | | |
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Solutions Manual Discrete-Event System Simulation Third Edition Jerry Banks John S. Carson II Barry L. Nelson David M. Nicol August 31‚ 2000 Contents 1 Introduction to Simulation 2 Simulation Examples 3 General Principles 4 Simulation Software 5 Statistical Models in Simulation 6 Queueing Models 7 Random-Number Generation 8 Random-Variate Generation 9 Input Modeling 10 Verification and Validation of Simulation Models 11 Output Analysis for a Single Model 12 Comparison and Evaluation of Alternative
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January 2011 Math Anxiety: Fertilizer Calculations Y OU MAY KNOW people who suffer from math anxiety. They avoid situations where mathematics and calculations are required. However‚ avoiding math is simply not an option when working with agriculture. The International Plant Nutrition Institute (IPNI)... in cooperation with university specialists...has recently published a “how-to” workbook that presents commonly used mathematical concepts in agriculture. It begins with simple arithmetic
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