Implications of Adopting Plane Angle As a Base Quantity in the SI
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
The Metric System: America Measures Up. 1979 Edition. INSTITUTION Naval Education and Training Command, Washington, D.C
DOCONENT RESUME ED 191 707 031 '926 AUTHOR Andersonv.Glen: Gallagher, Paul TITLE The Metric System: America Measures Up. 1979 Edition. INSTITUTION Naval Education and Training Command, Washington, D.C. REPORT NO NAVEDTRA,.475-01-00-79 PUB CATE 1 79 NOTE 101p. .AVAILABLE FROM Superintendent of Documents, U.S. Government Printing .Office, Washington, DC 2040Z (Stock Number 0507-LP-4.75-0010; No prise quoted). E'DES PRICE MF01/PC05 Plus Postage. DESCRIPTORS Cartoons; Decimal Fractions: Mathematical Concepts; *Mathematic Education: Mathem'atics Instruction,: Mathematics Materials; *Measurement; *Metric System; Postsecondary Education; *Resource Materials; *Science Education; Student Attitudes: *Textbooks; Visual Aids' ABSTRACT This training manual is designed to introduce and assist naval personnel it the conversion from theEnglish system of measurement to the metric system of measurement. The bcokteliswhat the "move to metrics" is all,about, and details why the changeto the metric system is necessary. Individual chaPtersare devoted to how the metric system will affect the average person, how the five basic units of the system work, and additional informationon technical applications of metric measurement. The publication alsocontains conversion tables, a glcssary of metric system terms,andguides proper usage in spelling, punctuation, and pronunciation, of the language of the metric, system. (MP) ************************************.******i**************************** * Reproductions supplied by EDRS are the best thatcan be made * * from -
NO CALCULATORS! APES Summer Work: Basic Math Concepts Directions: Please Complete the Following to the Best of Your Ability
APES Summer Math Assignment 2015 ‐ 2016 Welcome to AP Environmental Science! There will be no assigned reading over the summer. However, on September 4th, you will be given an initial assessment that will check your understanding of basic math skills modeled on the problems you will find below. Topics include the use of scientific notation, basic multiplication and division, metric conversions, percent change, and dimensional analysis. The assessment will include approximately 20 questions and will be counted as a grade for the first marking period. On the AP environmental science exam, you will be required to use these basic skills without the use of a calculator. Therefore, please complete this packet without a calculator. If you require some review of these concepts, please go to the “About” section of the Google Classroom page where you will find links to videos that you may find helpful. A Chemistry review packet will be due on September 4th. You must register for the APES Summer Google Classroom page using the following code: rskj5f in order to access the assignment. The Chemistry review packet does not have to be completed over the summer but getting a head start on the assignment will lighten your workload the first week of school. A more detailed set of directions are posted on Google Classroom. NO CALCULATORS! APES Summer Work: Basic Math Concepts Directions: Please complete the following to the best of your ability. No calculators allowed! Please round to the nearest 10th as appropriate. 1. Convert the following numbers into scientific notation. 16, 502 = _____________________________________ 0.0067 = _____________________________________ 0.015 = _____________________________________ 600 = _____________________________________ 3950 = _____________________________________ 0.222 = _____________________________________ 2. -
Chapter 5 Dimensional Analysis and Similarity
Chapter 5 Dimensional Analysis and Similarity Motivation. In this chapter we discuss the planning, presentation, and interpretation of experimental data. We shall try to convince you that such data are best presented in dimensionless form. Experiments which might result in tables of output, or even mul- tiple volumes of tables, might be reduced to a single set of curves—or even a single curve—when suitably nondimensionalized. The technique for doing this is dimensional analysis. Chapter 3 presented gross control-volume balances of mass, momentum, and en- ergy which led to estimates of global parameters: mass flow, force, torque, total heat transfer. Chapter 4 presented infinitesimal balances which led to the basic partial dif- ferential equations of fluid flow and some particular solutions. These two chapters cov- ered analytical techniques, which are limited to fairly simple geometries and well- defined boundary conditions. Probably one-third of fluid-flow problems can be attacked in this analytical or theoretical manner. The other two-thirds of all fluid problems are too complex, both geometrically and physically, to be solved analytically. They must be tested by experiment. Their behav- ior is reported as experimental data. Such data are much more useful if they are ex- pressed in compact, economic form. Graphs are especially useful, since tabulated data cannot be absorbed, nor can the trends and rates of change be observed, by most en- gineering eyes. These are the motivations for dimensional analysis. The technique is traditional in fluid mechanics and is useful in all engineering and physical sciences, with notable uses also seen in the biological and social sciences. -
RHEOLOGY #2: Anelasicity
RHEOLOGY #2: Anelas2city (aenuaon and modulus dispersion) of rocks, an organic, and maybe some ice Chris2ne McCarthy Lamont-Doherty Earth Observatory …but first, cheese Team Havar2 Team Gouda Team Jack Stress and Strain Stress σ(MPa)=F(N)/A(m2) 1 kg = 9.8N 1 Pa= N/m2 or kg/(m s2) Strain ε = Δl/l0 = (l0-l)/l0 l0 Cheese results vs. idealized curve. Not that far off! Cheese results σ n ⎛ −E + PV ⎞ ε = A exp A d p ⎝⎜ RT ⎠⎟ n=1 Newtonian! σ Pa viscosity η = ε s-1 Havarti,Jack η=3*107 Pa s Gouda η=2*108 Pa s Muenster η=6*108 Pa s How do we compare with previous studies? Havarti,Jack η=3*107 Pa s Gouda η=2*108 Pa s Muenster η=6*108 Pa s Despite significant error, not far off published results Viscoelas2city: Deformaon at a range of 2me scales Viscoelas2city: Deformaon at a range of 2me scales Viscoelas2city Elas2c behavior is Viscous behavior; strain rate is instantaneous elas2city and propor2onal to stress: instantaneous recovery. σ = ηε Follows Hooke’s Law: σ = E ε Steady-state viscosity Elas1c Modulus k or E ηSS Simplest form of viscoelas2city is the Maxwell model: t 1 J(t) = + ηSS kE SS kE Viscoelas2city How do we measure viscosity and elascity in the lab? Steady-state viscosity Elas1c Modulus k or EU ηSS σ σ η = η = effective [Fujisawa & Takei, 2009] ε ε1 Viscoelas2city: in between the two extremes? Viscoelas2city: in between the two extremes? Icy satellites velocity (at grounding line) tidal signal glaciers velocity (m per day) (m per velocity Vertical position (m) Vertical Day of year 2000 Anelas2c behavior in Earth and Planetary science -
Scale on Paper Between Technique and Imagination. Example of Constant’S Drawing Hypothesis
S A J _ 2016 _ 8 _ original scientific article approval date 16 12 2016 UDK BROJEVI: 72.021.22 7.071.1 Констант COBISS.SR-ID 236416524 SCALE ON PAPER BETWEEN TECHNIQUE AND IMAGINATION. EXAMPLE OF CONSTANT’S DRAWING HYPOTHESIS A B S T R A C T The procedure of scaling is one of the elemental routines in architectural drawing. Along with paper as a fundamental drawing material, scale is the architectural convention that follows the emergence of drawing in architecture from the Renaissance. This analysis is questioning the scaling procedure through the position of drawing in the conception process. Current theoretical researches on architectural drawing are underlining the paradigm change that occurred as a sudden switch from handmade to computer generated drawing. This change consequently influenced notions of drawing materiality, relations to scale and geometry. Developing the argument of scaling as a dual action, technical and imaginative, Constant’s New Babylon drawing work is taken as an example to problematize the architect-project-object relational chain. Anđelka Bnin-Bninski KEY WORDS 322 Maja Dragišić University of Belgrade - Faculty of Architecture ARCHITECTURAL DRAWING SCALING PAPER DRAWING INHABITATION CONSTANT’S NEW BABYLON S A J _ 2016 _ 8 _ SCALE ON PAPER BETWEEN TECHNIQUE AND IMAGINATION. INTRODUCTION EXAMPLE OF CONSTANT’S DRAWING HYPOTHESIS This study intends to question the practice of scaling in architectural drawing as one of the elemental routines in the contemporary work of an architect. The problematization is built on the relation between an architect and the drawing process while examining the evolving role of drawing in the architectural profession. -
Guide for the Use of the International System of Units (SI)
Guide for the Use of the International System of Units (SI) m kg s cd SI mol K A NIST Special Publication 811 2008 Edition Ambler Thompson and Barry N. Taylor NIST Special Publication 811 2008 Edition Guide for the Use of the International System of Units (SI) Ambler Thompson Technology Services and Barry N. Taylor Physics Laboratory National Institute of Standards and Technology Gaithersburg, MD 20899 (Supersedes NIST Special Publication 811, 1995 Edition, April 1995) March 2008 U.S. Department of Commerce Carlos M. Gutierrez, Secretary National Institute of Standards and Technology James M. Turner, Acting Director National Institute of Standards and Technology Special Publication 811, 2008 Edition (Supersedes NIST Special Publication 811, April 1995 Edition) Natl. Inst. Stand. Technol. Spec. Publ. 811, 2008 Ed., 85 pages (March 2008; 2nd printing November 2008) CODEN: NSPUE3 Note on 2nd printing: This 2nd printing dated November 2008 of NIST SP811 corrects a number of minor typographical errors present in the 1st printing dated March 2008. Guide for the Use of the International System of Units (SI) Preface The International System of Units, universally abbreviated SI (from the French Le Système International d’Unités), is the modern metric system of measurement. Long the dominant measurement system used in science, the SI is becoming the dominant measurement system used in international commerce. The Omnibus Trade and Competitiveness Act of August 1988 [Public Law (PL) 100-418] changed the name of the National Bureau of Standards (NBS) to the National Institute of Standards and Technology (NIST) and gave to NIST the added task of helping U.S. -
How Are Units of Measurement Related to One Another?
UNIT 1 Measurement How are Units of Measurement Related to One Another? I often say that when you can measure what you are speaking about, and express it in numbers, you know something about it; but when you cannot express it in numbers, your knowledge is of a meager and unsatisfactory kind... Lord Kelvin (1824-1907), developer of the absolute scale of temperature measurement Engage: Is Your Locker Big Enough for Your Lunch and Your Galoshes? A. Construct a list of ten units of measurement. Explain the numeric relationship among any three of the ten units you have listed. Before Studying this Unit After Studying this Unit Unit 1 Page 1 Copyright © 2012 Montana Partners This project was largely funded by an ESEA, Title II Part B Mathematics and Science Partnership grant through the Montana Office of Public Instruction. High School Chemistry: An Inquiry Approach 1. Use the measuring instrument provided to you by your teacher to measure your locker (or other rectangular three-dimensional object, if assigned) in meters. Table 1: Locker Measurements Measurement (in meters) Uncertainty in Measurement (in meters) Width Height Depth (optional) Area of Locker Door or Volume of Locker Show Your Work! Pool class data as instructed by your teacher. Table 2: Class Data Group 1 Group 2 Group 3 Group 4 Group 5 Group 6 Width Height Depth Area of Locker Door or Volume of Locker Unit 1 Page 2 Copyright © 2012 Montana Partners This project was largely funded by an ESEA, Title II Part B Mathematics and Science Partnership grant through the Montana Office of Public Instruction. -
Similitude and Theory of Models - Washington Braga
EXPERIMENTAL MECHANICS - Similitude And Theory Of Models - Washington Braga SIMILITUDE AND THEORY OF MODELS Washington Braga Mechanical Engineering Department, Pontifical Catholic University, Rio de Janeiro, RJ, Brazil Keywords: similarity, dimensional analysis, similarity variables, scaling laws. Contents 1. Introduction 2. Dimensional Analysis 2.1. Application 2.2 Typical Dimensionless Numbers 3. Models 4. Similarity – a formal definition 4.1 Similarity Variables 5. Scaling Analysis 6. Conclusion Glossary Bibliography Biographical Sketch Summary The concepts of Similitude, Dimensional Analysis and Theory of Models are presented and used in this chapter. They constitute important theoretical tools that allow scientists from many different areas to go further on their studies prior to actual experiments or using small scale models. The applications discussed herein are focused on thermal sciences (Heat Transfer and Fluid Mechanics). Using a formal approach based on Buckingham’s π -theorem, the paper offers an overview of the use of Dimensional Analysis to help plan experiments and consolidate data. Furthermore, it discusses dimensionless numbers and the Theory of Models, and presents a brief introduction to Scaling Laws. UNESCO – EOLSS 1. Introduction Generally speaking, similitude is recognized through some sort of comparison: observing someSAMPLE relationship (called similarity CHAPTERS) among persons (for instance, relatives), things (for instance, large commercial jets and small executive ones) or the physical phenomena we are interested. -
Rheology Bulletin 2010, 79(2)
The News and Information Publication of The Society of Rheology Volume 79 Number 2 July 2010 A Two-fer for Durham University UK: Bingham Medalist Tom McLeish Metzner Awardee Suzanne Fielding Rheology Bulletin Inside: Society Awards to McLeish, Fielding 82nd SOR Meeting, Santa Fe 2010 Joe Starita, Father of Modern Rheometry Weissenberg and Deborah Numbers Executive Committee Table of Contents (2009-2011) President Bingham Medalist for 2010 is 4 Faith A. Morrison Tom McLeish Vice President A. Jeffrey Giacomin Metzner Award to be Presented 7 Secretary in 2010 to Suzanne Fielding Albert Co 82nd Annual Meeting of the 8 Treasurer Montgomery T. Shaw SOR: Santa Fe 2010 Editor Joe Starita, Father of Modern 11 John F. Brady Rheometry Past-President by Chris Macosko Robert K. Prud’homme Members-at-Large Short Courses in Santa Fe: 12 Ole Hassager Colloidal Dispersion Rheology Norman J. Wagner Hiroshi Watanabe and Microrheology Weissenberg and Deborah 14 Numbers - Their Definition On the Cover: and Use by John M. Dealy Photo of the Durham University World Heritage Site of Durham Notable Passings 19 Castle (University College) and Edward B. Bagley Durham Cathedral. Former built Tai-Hun Kwon by William the Conqueror, latter completed in 1130. Society News/Business 20 News, ExCom minutes, Treasurer’s Report Calendar of Events 28 2 Rheology Bulletin, 79(2) July 2010 Standing Committees Membership Committee (2009-2011) Metzner Award Committee Shelley L. Anna, chair Lynn Walker (2008-2010), chair Saad Khan Peter Fischer (2009-2012) Jason Maxey Charles P. Lusignan (2008-2010) Lisa Mondy Gareth McKinley (2009-2012) Chris White Michael J. -
Grade 6 Math Circles Dimensional and Unit Analysis Required Skills
Faculty of Mathematics Waterloo, Ontario N2L 3G1 Grade 6 Math Circles October 22/23, 2013 Dimensional and Unit Analysis Required Skills In order to full understand this lesson, students should review the following topics: • Exponents (see the first lesson) • Cancelling Cancelling is the removal of a common factor in the numerator (top) and denominator (bottom) of a fraction, or the removal of a common factor in the dividend and divisor of a quotient. Here is an example of cancelling: 8 (2)(8) (2)(8) (2)(8) 8 (2) = = = = 10 10 (2)(5) (2)(5) 5 We could also think of cancelling as recognizing when an operation is undone by its opposite operation. In the example above, the division by 2 is undone by the multiplication by 2, so we can cancel the factors of 2. If we skip writing out all the steps, we could have shown the cancelling above as follows: 8 8 8 (2) = (2) = 10 (2)(5) 5 We can also cancel variables in the same way we cancel numbers. In this lesson, we will also see that it is possible to cancel dimensions and units. 1 Dimensional Analysis x If x is a measurement of distance and t is a measurement of time, then what does represent t physically? Dimension We can use math to describe many physical things. Therefore, it is helpful to define the the physical nature of a mathematical object. The dimension of a variable or number is a property that tells us what type of physical quantity it represents. For example, some possible dimensions are Length Time Mass Speed Force Energy In our opening question, x is a measurement of distance. -
Chapter 8 Dimensional Analysis and Similitude
Chapter 8 Dimensional Analysis and Similitude Ahmad Sana Department of Civil and Architectural Engineering Sultan Qaboos University Sultanate of Oman Email: [email protected] Webpage: http://ahmadsana.tripod.com Significant learning outcomes Conceptual Knowledge State the Buckingham Π theorem. Identify and explain the significance of the common π-groups. Distinguish between model and prototype. Explain the concepts of dynamic and geometric similitude. Procedural Knowledge Apply the Buckingham Π theorem to determine number of dimensionless variables. Apply the step-by-step procedure to determine the dimensionless π- groups. Apply the exponent method to determine the dimensionless π-groups. Distinguish the significant π-groups for a given a flow problem. Applications (typical) Drag force on a blimp from model testing. Ship model tests to evaluate wave and friction drag. Pressure drop in a prototype nozzle from model measurements. CIVL 4046 Fluid Mechanics 2 8.1 Need for dimensional analysis • Experimental studies in fluid problems • Model and prototype • Example: Flow through inverted nozzle CIVL 4046 Fluid Mechanics 3 Pressure drop through the nozzle can shown as: p p d V d 1 2 f 0 , 1 0 2 V / 2 d1 p p d For higher Reynolds numbers 1 2 f 0 V 2 / 2 d 1 CIVL 4046 Fluid Mechanics 4 8.2 Buckingham pi theorem In 1915 Buckingham showed that the number of independent dimensionless groups of variables (dimensionless parameters) needed to correlate the variables in a given process is equal to n - m, where n is the number of variables involved and m is the number of basic dimensions included in the variables. -
Dimensional Analysis and Similitude Lecture 39: Geomteric and Dynamic Similarities, Examples
Objectives_template Module 11: Dimensional analysis and similitude Lecture 39: Geomteric and dynamic similarities, examples Dimensional analysis and similitude–continued Similitude: file:///D|/Web%20Course/Dr.%20Nishith%20Verma/local%20server/fluid_mechanics/lecture39/39_1.htm[5/9/2012 3:44:14 PM] Objectives_template Module 11: Dimensional analysis and similitude Lecture 39: Geomteric and dynamic similarities, examples Dimensional analysis and similitude–continued Example 2: pressure–drop in pipe–flow depends on length, inside diameter, velocity, density and viscosity of the fluid. If the roughness-effects are ignored, determine a symbolic expression for the pressure–drop using dimensional analysis. Answer: We will apply Buckingham Pi-theorem Variables: Primary dimensions: No of dimensionless (independent) group: file:///D|/Web%20Course/Dr.%20Nishith%20Verma/local%20server/fluid_mechanics/lecture39/39_2.htm[5/9/2012 3:44:14 PM] Objectives_template Module 11: Dimensional analysis and similitude Lecture 39: Geomteric and dynamic similarities, examples Similitude: To scale–up or down a model to the prototype, two types of similarities are required from the perspective of fluid dynamics: (1) geometrical similarity (2) dynamic similarity 1. Geometric similarity: The model and the prototype must be similar in shape. (Fig. 39a) This is essential because one can use a constant scale factor to relate the dimensions of model and prototype. 2. Dynamic similarity: The flow conditions in two cases are such that all forces (pressure viscous, surface tension, etc) must be parallel and may also be scaled by a constant scaled factor at all corresponding points. Such requirement is restrictive and may be difficult to implement under certain experiential conditions. Dimensional analysis can be used to identify the dimensional groups to achieve dynamic similarity between geometrically similar flows.