Chapter 3 – Process Variables Mass and Volume
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Modelling and Numerical Simulation of Phase Separation in Polymer Modified Bitumen by Phase- Field Method
http://www.diva-portal.org Postprint This is the accepted version of a paper published in Materials & design. This paper has been peer- reviewed but does not include the final publisher proof-corrections or journal pagination. Citation for the original published paper (version of record): Zhu, J., Lu, X., Balieu, R., Kringos, N. (2016) Modelling and numerical simulation of phase separation in polymer modified bitumen by phase- field method. Materials & design, 107: 322-332 http://dx.doi.org/10.1016/j.matdes.2016.06.041 Access to the published version may require subscription. N.B. When citing this work, cite the original published paper. Permanent link to this version: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-188830 ACCEPTED MANUSCRIPT Modelling and numerical simulation of phase separation in polymer modified bitumen by phase-field method Jiqing Zhu a,*, Xiaohu Lu b, Romain Balieu a, Niki Kringos a a Department of Civil and Architectural Engineering, KTH Royal Institute of Technology, Brinellvägen 23, SE-100 44 Stockholm, Sweden b Nynas AB, SE-149 82 Nynäshamn, Sweden * Corresponding author. Email: [email protected] (J. Zhu) Abstract In this paper, a phase-field model with viscoelastic effects is developed for polymer modified bitumen (PMB) with the aim to describe and predict the PMB storage stability and phase separation behaviour. The viscoelastic effects due to dynamic asymmetry between bitumen and polymer are represented in the model by introducing a composition-dependent mobility coefficient. A double-well potential for PMB system is proposed on the basis of the Flory-Huggins free energy of mixing, with some simplifying assumptions made to take into account the complex chemical composition of bitumen. -
Che 253M Experiment No. 2 COMPRESSIBLE GAS FLOW
Rev. 8/15 AD/GW ChE 253M Experiment No. 2 COMPRESSIBLE GAS FLOW The objective of this experiment is to familiarize the student with methods for measurement of compressible gas flow and to study gas flow under subsonic and supersonic flow conditions. The experiment is divided into three distinct parts: (1) Calibration and determination of the critical pressure ratio for a critical flow nozzle under supersonic flow conditions (2) Calculation of the discharge coefficient and Reynolds number for an orifice under subsonic (non- choked) flow conditions and (3) Determination of the orifice constants and mass discharge from a pressurized tank in a dynamic bleed down experiment under (choked) flow conditions. The experimental set up consists of a 100 psig air source branched into two manifolds: the first used for parts (1) and (2) and the second for part (3). The first manifold contains a critical flow nozzle, a NIST-calibrated in-line digital mass flow meter, and an orifice meter, all connected in series with copper piping. The second manifold contains a strain-gauge pressure transducer and a stainless steel tank, which can be pressurized and subsequently bled via a number of attached orifices. A number of NIST-calibrated digital hand held manometers are also used for measuring pressure in all 3 parts of this experiment. Assorted pressure regulators, manual valves, and pressure gauges are present on both manifolds and you are expected to familiarize yourself with the process flow, and know how to operate them to carry out the experiment. A process flow diagram plus handouts outlining the theory of operation of these devices are attached. -
Solutes and Solution
Solutes and Solution The first rule of solubility is “likes dissolve likes” Polar or ionic substances are soluble in polar solvents Non-polar substances are soluble in non- polar solvents Solutes and Solution There must be a reason why a substance is soluble in a solvent: either the solution process lowers the overall enthalpy of the system (Hrxn < 0) Or the solution process increases the overall entropy of the system (Srxn > 0) Entropy is a measure of the amount of disorder in a system—entropy must increase for any spontaneous change 1 Solutes and Solution The forces that drive the dissolution of a solute usually involve both enthalpy and entropy terms Hsoln < 0 for most species The creation of a solution takes a more ordered system (solid phase or pure liquid phase) and makes more disordered system (solute molecules are more randomly distributed throughout the solution) Saturation and Equilibrium If we have enough solute available, a solution can become saturated—the point when no more solute may be accepted into the solvent Saturation indicates an equilibrium between the pure solute and solvent and the solution solute + solvent solution KC 2 Saturation and Equilibrium solute + solvent solution KC The magnitude of KC indicates how soluble a solute is in that particular solvent If KC is large, the solute is very soluble If KC is small, the solute is only slightly soluble Saturation and Equilibrium Examples: + - NaCl(s) + H2O(l) Na (aq) + Cl (aq) KC = 37.3 A saturated solution of NaCl has a [Na+] = 6.11 M and [Cl-] = -
Flow Regime Transition in Countercurrent Packed Column Monitored by ECT
Flow Regime Transition in Countercurrent Packed Column Monitored by ECT Zhigang Li, Yuan Chen, Yunjie Yang, Chang Liu, Mathieu Lucquiaud and Jiabin Jia* School of Engineering, The University of Edinburgh, Edinburgh, UK, EH9 3JL [email protected] Abstract Vertical packed columns are widely used in absorption, stripping and distillation processes. Flooding will occur in the vertical packed columns as a result of excessive liquid accumulation, which reduces mass transfer efficiency and causes a large pressure drop. Pressure drop measurements are typically used as the hydrodynamic parameter for predicting flooding. They are, however, only indicative of the occurrence of transition of the flow regime across the packed column. They offer limited spatial information to mass transfer packed column operators and designers. In this work, a new method using Electrical Capacitance Tomography (ECT) is implemented for the first time so that real-time flow regime monitoring at different vertical positions is achieved in a countercurrent packed bed column using ECT. Two normalisation methods are implemented to monitor the transition from pre-loading to flooding in a column of 200 mm diameter, 1200 mm height filled with plastic structured packing. Liquid distribution in the column can be qualitatively visualised via reconstructed ECT images. A flooding index is implemented to quantitatively indicate the progression of local flooding. In experiments, the degree of local flooding is quantified at various gas flow rates and locations of ECT sensor. ECT images were compared with pressure drop and visual observation. The experimental results demonstrate that ECT is capable of monitoring liquid distribution, identifying flow regime transitions and predicting local flooding. -
Chapter 2: Basic Tools of Analytical Chemistry
Chapter 2 Basic Tools of Analytical Chemistry Chapter Overview 2A Measurements in Analytical Chemistry 2B Concentration 2C Stoichiometric Calculations 2D Basic Equipment 2E Preparing Solutions 2F Spreadsheets and Computational Software 2G The Laboratory Notebook 2H Key Terms 2I Chapter Summary 2J Problems 2K Solutions to Practice Exercises In the chapters that follow we will explore many aspects of analytical chemistry. In the process we will consider important questions such as “How do we treat experimental data?”, “How do we ensure that our results are accurate?”, “How do we obtain a representative sample?”, and “How do we select an appropriate analytical technique?” Before we look more closely at these and other questions, we will first review some basic tools of importance to analytical chemists. 13 14 Analytical Chemistry 2.0 2A Measurements in Analytical Chemistry Analytical chemistry is a quantitative science. Whether determining the concentration of a species, evaluating an equilibrium constant, measuring a reaction rate, or drawing a correlation between a compound’s structure and its reactivity, analytical chemists engage in “measuring important chemical things.”1 In this section we briefly review the use of units and significant figures in analytical chemistry. 2A.1 Units of Measurement Some measurements, such as absorbance, A measurement usually consists of a unit and a number expressing the do not have units. Because the meaning of quantity of that unit. We may express the same physical measurement with a unitless number may be unclear, some authors include an artificial unit. It is not different units, which can create confusion. For example, the mass of a unusual to see the abbreviation AU, which sample weighing 1.5 g also may be written as 0.0033 lb or 0.053 oz. -
Page 1 of 6 This Is Henry's Law. It Says That at Equilibrium the Ratio of Dissolved NH3 to the Partial Pressure of NH3 Gas In
CHMY 361 HANDOUT#6 October 28, 2012 HOMEWORK #4 Key Was due Friday, Oct. 26 1. Using only data from Table A5, what is the boiling point of water deep in a mine that is so far below sea level that the atmospheric pressure is 1.17 atm? 0 ΔH vap = +44.02 kJ/mol H20(l) --> H2O(g) Q= PH2O /XH2O = K, at ⎛ P2 ⎞ ⎛ K 2 ⎞ ΔH vap ⎛ 1 1 ⎞ ln⎜ ⎟ = ln⎜ ⎟ − ⎜ − ⎟ equilibrium, i.e., the Vapor Pressure ⎝ P1 ⎠ ⎝ K1 ⎠ R ⎝ T2 T1 ⎠ for the pure liquid. ⎛1.17 ⎞ 44,020 ⎛ 1 1 ⎞ ln⎜ ⎟ = − ⎜ − ⎟ = 1 8.3145 ⎜ T 373 ⎟ ⎝ ⎠ ⎝ 2 ⎠ ⎡1.17⎤ − 8.3145ln 1 ⎢ 1 ⎥ 1 = ⎣ ⎦ + = .002651 T2 44,020 373 T2 = 377 2. From table A5, calculate the Henry’s Law constant (i.e., equilibrium constant) for dissolving of NH3(g) in water at 298 K and 340 K. It should have units of Matm-1;What would it be in atm per mole fraction, as in Table 5.1 at 298 K? o For NH3(g) ----> NH3(aq) ΔG = -26.5 - (-16.45) = -10.05 kJ/mol ΔG0 − [NH (aq)] K = e RT = 0.0173 = 3 This is Henry’s Law. It says that at equilibrium the ratio of dissolved P NH3 NH3 to the partial pressure of NH3 gas in contact with the liquid is a constant = 0.0173 (Henry’s Law Constant). This also says [NH3(aq)] =0.0173PNH3 or -1 PNH3 = 0.0173 [NH3(aq)] = 57.8 atm/M x [NH3(aq)] The latter form is like Table 5.1 except it has NH3 concentration in M instead of XNH3. -
THE SOLUBILITY of GASES in LIQUIDS Introductory Information C
THE SOLUBILITY OF GASES IN LIQUIDS Introductory Information C. L. Young, R. Battino, and H. L. Clever INTRODUCTION The Solubility Data Project aims to make a comprehensive search of the literature for data on the solubility of gases, liquids and solids in liquids. Data of suitable accuracy are compiled into data sheets set out in a uniform format. The data for each system are evaluated and where data of sufficient accuracy are available values are recommended and in some cases a smoothing equation is given to represent the variation of solubility with pressure and/or temperature. A text giving an evaluation and recommended values and the compiled data sheets are published on consecutive pages. The following paper by E. Wilhelm gives a rigorous thermodynamic treatment on the solubility of gases in liquids. DEFINITION OF GAS SOLUBILITY The distinction between vapor-liquid equilibria and the solubility of gases in liquids is arbitrary. It is generally accepted that the equilibrium set up at 300K between a typical gas such as argon and a liquid such as water is gas-liquid solubility whereas the equilibrium set up between hexane and cyclohexane at 350K is an example of vapor-liquid equilibrium. However, the distinction between gas-liquid solubility and vapor-liquid equilibrium is often not so clear. The equilibria set up between methane and propane above the critical temperature of methane and below the criti cal temperature of propane may be classed as vapor-liquid equilibrium or as gas-liquid solubility depending on the particular range of pressure considered and the particular worker concerned. -
Introduction to the Solubility of Liquids in Liquids
INTRODUCTION TO THE SOLUBILITY OF LIQUIDS IN LIQUIDS The Solubility Data Series is made up of volumes of comprehensive and critically evaluated solubility data on chemical systems in clearly defined areas. Data of suitable precision are presented on data sheets in a uniform format, preceded for each system by a critical evaluation if more than one set of data is available. In those systems where data from different sources agree sufficiently, recommended values are pro posed. In other cases, values may be described as "tentative", "doubtful" or "rejected". This volume is primarily concerned with liquid-liquid systems, but related gas-liquid and solid-liquid systems are included when it is logical and convenient to do so. Solubilities at elevated and low 'temperatures and at elevated pressures may be included, as it is considered inappropriate to establish artificial limits on the data presented. For some systems the two components are miscible in all proportions at certain temperatures or pressures, and data on miscibility gap regions and upper and lower critical solution temperatures are included where appropriate and if available. TERMINOLOGY In this volume a mixture (1,2) or a solution (1,2) refers to a single liquid phase containing components 1 and 2, with no distinction being made between solvent and solute. The solubility of a substance 1 is the relative proportion of 1 in a mixture which is saturated with respect to component 1 at a specified temperature and pressure. (The term "saturated" implies the existence of equilibrium with respect to the processes of mass transfer between phases) • QUANTITIES USED AS MEASURES OF SOLUBILITY Mole fraction of component 1, Xl or x(l): ml/Ml nl/~ni = r(m.IM.) '/. -
Manual for Lab #2
CE 321 INTRODUCTION TO FLUID MECHANICS Fall 2009 LABORATORY 3: THE BERNOULLI EQUATION OBJECTIVES To investigate the validity of Bernoulli's Equation as applied to the flow of water in a tapering horizontal tube to determine if the total pressure head remains constant along the length of the tube as the equation predicts. To determine if the variations in static pressure head along the length of the tube can be predicted with Bernoulli’s equation APPROACH Establish a constant flow rate (Q) through the tube and measure it. Use a pitot probe and static probe to measure the total pressure head h Tm and static pressure head h Sm at six locations along the length of the tube. The values of h Tm will show if total pressure head remains constant along the length of the tube as required by the Bernoulli Equation. Using the flow rate and cross sectional area of the tube, calculate the velocity head h Vc at each location. Use Bernoulli’s Equation, h Tm and h Vc to predict the variations in static pressure head h St expected along the tube. Compare the calculated and measured values of static pressure head to determine if the variations in fluid pressure along the length of the tube can be predicted with Bernoulli’s Equation. EQUIPMENT Hydraulic bench with Bernoulli apparatus, stop watch THEORY Considering flow at any two positions on the central streamline of the tube (Fig. 1), Bernoulli's equation may be written as V 2 p V 2 p 1 + 1 + z = 2 + 2 + z (1) 2g γ 1 2g γ 2 1 Bernoulli’s equation indicates that the sum of the velocity head (V 2/2g), pressure head (p/ γ), and elevation (z) are constant along the central streamline. -
Chapter 1 PROPERTIES of FLUID & PRESSURE MEASUREMENT
Fluid Mechanics & Machinery Chapter 1 PROPERTIES OF FLUID & PRESSURE MEASUREMENT Course Contents 1. Introduction 2. Properties of Fluid 2.1 Density 2.2 Specific gravity 2.3 Specific volume 2.4 Specific Weight 2.5 Dynamic viscosity 2.6 Kinematic viscosity 2.7 Surface tension 2.8 Capillarity 2.9 Vapor Pressure 2.10 Compressibility 3. Fluid Pressure & Pressure Measurement 3.1 Fluid pressure, Pressure head, Pascal‟s law 3.2 Concept of absolute vacuum, gauge pressure, atmospheric pressure, absolute pressure. 3.3 Pressure measuring Devices 3.4 Simple and differential manometers, 3.5 Bourdon pressure gauge. 4. Total pressure, center of pressure 4.1 Total pressure, center of pressure 4.2 Horizontal Plane Surface Submerged in Liquid 4.3 Vertical Plane Surface Submerged in Liquid 4.4 Inclined Plane Surface Submerged in Liquid MR. R. R. DHOTRE (8888944788) Page 1 Fluid Mechanics & Machinery 1. Introduction Fluid mechanics is a branch of engineering science which deals with the behavior of fluids (liquid or gases) at rest as well as in motion. 2. Properties of Fluids 2.1 Density or Mass Density -Density or mass density of fluid is defined as the ratio of the mass of the fluid to its volume. Mass per unit volume of a fluid is called density. -It is denoted by the symbol „ρ‟ (rho). -The unit of mass density is kg per cubic meter i.e. kg/m3. -Mathematically, ρ = -The value of density of water is 1000 kg/m3, density of Mercury is 13600 kg/m3. 2.2 Specific Weight or Weight Density -Specific weight or weight density of a fluid is defined as the ratio of weight of a fluid to its volume. -
By Mary Katherine Matella a Dissertation Submitted in Partial Satisfaction of the Requirements for the Degree of Doctor of Philo
Floodplain restoration planning for a changing climate: Coupling flow dynamics with ecosystem benefits by Mary Katherine Matella A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Environmental Science, Policy, and Management in the Graduate Division of the University of California, Berkeley Committee in charge: Professor Adina M. Merenlender, Chair Professor Maggi Kelly Professor G. Mathias Kondolf Spring 2013 Floodplain restoration planning for a changing climate: Coupling flow dynamics with ecosystem benefits Copyright 2013 by Mary Katherine Matella ABSTRACT Floodplain restoration planning for a changing climate: Coupling flow dynamics with ecosystem benefits by Mary Katherine Matella Doctor of Philosophy in Environmental Science, Policy, and Management University of California, Berkeley Professor Adina M. Merenlender, Chair This dissertation addresses the role that dynamic flow characteristics play in shaping the potential for significant ecosystem benefits from floodplain restoration. Mediterranean-climate river systems present challenges for restoring healthy floodplains because of the inter and intra- annual variability in stream flow, which has been dramatically reduced in an effort to control flooding and to provide a more consistent year-round water supply for human use. Habitat restoration efforts require that this reduced stream flow be altered in order to recover more naturally dynamic flow patterns and reconnect floodplains. This thesis defines and takes advantage of an eco-hydrology modeling framework to reveal how the ecological returns of different hydrologic alterations or restoration scenarios—including changes to the physical landscape and flow dynamics—influence habitat connectivity for freshwater biota. A method for quantifying benefits of expanding floodplain connectivity can highlight actions that might simultaneously reduce flood risk and restore ecological functions, such as supporting fish habitat benefits, food web productivity, and riparian vegetation establishment. -
Comprehensive Drainage Study of the Upper Reach of College Branch in Fayetteville, Arkansas Kathryn Lea Mccoy University of Arkansas, Fayetteville
University of Arkansas, Fayetteville ScholarWorks@UARK Theses and Dissertations 12-2012 Comprehensive Drainage Study of the Upper Reach of College Branch in Fayetteville, Arkansas Kathryn Lea McCoy University of Arkansas, Fayetteville Follow this and additional works at: http://scholarworks.uark.edu/etd Part of the Hydraulic Engineering Commons Recommended Citation McCoy, Kathryn Lea, "Comprehensive Drainage Study of the Upper Reach of College Branch in Fayetteville, Arkansas" (2012). Theses and Dissertations. 650. http://scholarworks.uark.edu/etd/650 This Thesis is brought to you for free and open access by ScholarWorks@UARK. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of ScholarWorks@UARK. For more information, please contact [email protected], [email protected]. COMPREHENSIVE DRAINAGE STUDY OF THE UPPER REACH OF COLLEGE BRANCH IN FAYETTEVILLE, ARKANSAS COMPREHENSIVE DRAINAGE STUDY OF THE UPPER REACH OF COLLEGE BRANCH IN FAYETTEVILLE, ARKANSAS A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Civil Engineering By Kathryn Lea McCoy University of Arkansas Bachelor of Science in Biological Engineering, 2009 December 2012 University of Arkansas ABSTRACT College Branch is a stream with headwaters located on the University of Arkansas campus. The stream flows through much of the west side of campus, gaining discharge and enlarging its channel as it meanders to the south. College Branch has experienced erosion and flooding issues in recent years due to increased urbanization of its watershed and increased runoff volume. The purpose of this project was to develop a comprehensive drainage study of College Branch on the University of Arkansas campus.