Revised Glossary for AQA GCSE Physics Student Book
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Glossary Physics (I-Introduction)
1 Glossary Physics (I-introduction) - Efficiency: The percent of the work put into a machine that is converted into useful work output; = work done / energy used [-]. = eta In machines: The work output of any machine cannot exceed the work input (<=100%); in an ideal machine, where no energy is transformed into heat: work(input) = work(output), =100%. Energy: The property of a system that enables it to do work. Conservation o. E.: Energy cannot be created or destroyed; it may be transformed from one form into another, but the total amount of energy never changes. Equilibrium: The state of an object when not acted upon by a net force or net torque; an object in equilibrium may be at rest or moving at uniform velocity - not accelerating. Mechanical E.: The state of an object or system of objects for which any impressed forces cancels to zero and no acceleration occurs. Dynamic E.: Object is moving without experiencing acceleration. Static E.: Object is at rest.F Force: The influence that can cause an object to be accelerated or retarded; is always in the direction of the net force, hence a vector quantity; the four elementary forces are: Electromagnetic F.: Is an attraction or repulsion G, gravit. const.6.672E-11[Nm2/kg2] between electric charges: d, distance [m] 2 2 2 2 F = 1/(40) (q1q2/d ) [(CC/m )(Nm /C )] = [N] m,M, mass [kg] Gravitational F.: Is a mutual attraction between all masses: q, charge [As] [C] 2 2 2 2 F = GmM/d [Nm /kg kg 1/m ] = [N] 0, dielectric constant Strong F.: (nuclear force) Acts within the nuclei of atoms: 8.854E-12 [C2/Nm2] [F/m] 2 2 2 2 2 F = 1/(40) (e /d ) [(CC/m )(Nm /C )] = [N] , 3.14 [-] Weak F.: Manifests itself in special reactions among elementary e, 1.60210 E-19 [As] [C] particles, such as the reaction that occur in radioactive decay. -
Test of Self-Organization in Beach Cusp Formation Giovanni Coco,1 T
JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 108, NO. C3, 3101, doi:10.1029/2002JC001496, 2003 Test of self-organization in beach cusp formation Giovanni Coco,1 T. K. Burnet, and B. T. Werner Complex Systems Laboratory, Cecil and Ida Green Institute of Geophysics and Planetary Physics, University of California, San Diego, La Jolla, California, USA Steve Elgar Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA Received 4 June 2002; revised 6 November 2002; accepted 13 November 2002; published 29 March 2003. [1] Field observations of swash flow patterns and morphology change are consistent with the hypothesis that beach cusps form by self-organization, wherein positive feedback between swash flow and developing morphology causes initial development of the pattern and negative feedback owing to circulation of flow within beach cusp bays causes pattern stabilization. The self-organization hypothesis is tested using measurements from three experiments on a barrier island beach in North Carolina. Beach cusps developed after the beach was smoothed by a storm and after existing beach cusps were smoothed by a bulldozer. Swash front motions were recorded on video during daylight hours, and morphology was measured by surveying at 3–4 hour intervals. Three signatures of self- organization were observed in all experiments. First, time lags between swash front motions in beach cusp bays and horns increase with increasing relief, representing the effect of morphology on flow. Second, differential erosion between bays and horns initially increases with increasing time lag, representing the effect of flow on morphology change because positive feedback causes growth of beach cusps. Third, after initial growth, differential erosion decreases with increasing time lag, representing the onset of negative feedback that stabilizes beach cusps. -
Leadscrew Brochure
• High Repeatability • High accuracy • Short Lead times • Fast Prototyping High Precision Lead Screws Offering smooth, precise, cost effective positioning, lead screws are the ideal solution for your application. Thomson Neff precision lead screws from Huco Dynatork are an excellent economical solution for your linear motion requirements. For more than 25 years, Thomson has designed and manufactured the highest quality lead screw assemblies in the industry. Our precision rolling proc- ess ensures accurate positioning to .075mm/300mm and our PTFE coating process produces assemblies that have less drag torque and last longer. Huco Dynatork provides a large array of standard plastic nut assemblies in anti-backlash or standard Supernut® designs. All of our standard plastic nut assemblies use an internally lubricated Acetal providing excellent lubricity and wear resistance with or without additional lubrication. With the introduction of our new unique patented zero backlash designs, Huco Dynatork provides assemblies with high axial stiffness, zero back- lash and the absolute minimum drag torque to reduce motor requirements. These designs produce products that cost less, perform better and last longer. Both designs automatically adjust for wear ensuring zero backlash for the life of the nut. Huco Dynatork also provides engineering design services to aid in your design requirements producing a lead screw assembly to your specifica- tions. Call Huco Dynatork today on 01992 501900 to discuss your application with one of our experienced application engineers Huco Dynatork Products Deliver Performance To ensure precise positioning, the elimination of backlash is of primary concern. Several types of anti-backlash mechanisms are common in the market which utilise compliant pre- loads. -
Electromagnetism What Is the Effect of the Number of Windings of Wire on the Strength of an Electromagnet?
TEACHER’S GUIDE Electromagnetism What is the effect of the number of windings of wire on the strength of an electromagnet? GRADES 6–8 Physical Science INQUIRY-BASED Science Electromagnetism Physical Grade Level/ 6–8/Physical Science Content Lesson Summary In this lesson students learn how to make an electromagnet out of a battery, nail, and wire. The students explore and then explain how the number of turns of wire affects the strength of an electromagnet. Estimated Time 2, 45-minute class periods Materials D cell batteries, common nails (20D), speaker wire (18 gauge), compass, package of wire brad nails (1.0 mm x 12.7 mm or similar size), Investigation Plan, journal Secondary How Stuff Works: How Electromagnets Work Resources Jefferson Lab: What is an electromagnet? YouTube: Electromagnet - Explained YouTube: Electromagnets - How can electricity create a magnet? NGSS Connection MS-PS2-3 Ask questions about data to determine the factors that affect the strength of electric and magnetic forces. Learning Objectives • Students will frame a hypothesis to predict the strength of an electromagnet due to changes in the number of windings. • Students will collect and analyze data to determine how the number of windings affects the strength of an electromagnet. What is the effect of the number of windings of wire on the strength of an electromagnet? Electromagnetism is one of the four fundamental forces of the universe that we rely on in many ways throughout our day. Most home appliances contain electromagnets that power motors. Particle accelerators, like CERN’s Large Hadron Collider, use electromagnets to control the speed and direction of these speedy particles. -
Electromagnetism
EINE INITIATIVE DER UNIVERSITÄT BASEL UND DES KANTONS AARGAU Swiss Nanoscience Institute Electromagnetism Electricity and magnetism are two aspects of the same phenomenon: electromagnetism. A moving electric charge (in other words, an electric current) generates a magnetic field. Every electromagnet consists of a coil, which is nothing more than a tightly wound wire. Many electromagnets also have an iron core to make the magnetic field stronger. The more times the wire is wound around the coil, the stronger the magnetic field produced by the same current. Demonstration: Using electric current to create a magnetic field What you’ll need • a large sheet of paper on which to conduct the experiment • a sheet of stiff card or plexiglass • two batteries connected in series • a coil of copper wire • iron filings • crocodile clips (optional) • a small piece of iron (e.g. a screw) to place inside the coil (iron core) Instructions 1. Position the coil so that you can easily access the two ends of the wire and connect them to the battery. I used crocodile clips to attach them to the battery contacts, but you could also use wooden clothes pegs or electrical tape. 2. Connect the two batteries in series (+ - + - ). 3. Place the plexiglass or card over the coil. 4. When the electrical circuit is closed, slowly scatter the iron filings on top. What happens? The iron filings arrange themselves along the magnetic field lines. If you look closely, you can make out a pattern. Turn a screw into an electromagnet What you’ll need • a long iron screw or nail • two pieces of insulated copper wire measuring 15 and 30 cm • two three-pronged thumb tacks • a metal paperclip • a small wooden board • pins or paperclips • a 4.5 V battery Instructions Switch 1. -
Roller Screws
1213E_MSD_EXCO 1/11/06 10:06 AM Page 37 SIZEWISE Edited by Colleen Telling Sizing and applying ROLLER SCREWS Gary Shelton Roller screw shaft Principal Design Engineer Ground shaft Exlar Corp. Timing gear planetary Chanhassen, Minn. Roller screw nut roller screw How it works Roller screws convert ro- tary motion into linear mo- Roller screws’ tion just like acme and numerous ballscrews. Comparably contact points sized roller screws, however, vs. ballscrews’, have better efficiency than lengthen their acme screws and can carry lives and Spacer larger loads than ballscrews. washer increase load In addition, they can cycle Roller timing gear capacity and more often and turn signifi- stiffness. They Roller cantly faster than either, contain ground suiting them to precise, con- Retaining clip leadscrews for high- tinuous-duty applications. Roller journal precision applications Radiused flanks on the and come in tolerance rollers deliver point contact classes G1, G3, G4, and G5. like balls on a raceway, and only the radius is part of the profile. Therefore, a larger radius transversely and a precision- and additional contact points can ground spacer is inserted be- be packed into the available tween the front and back halves. space, thus lowering stress. In ad- The double nut is another alter- dition, the rolling contact be- native. As the name suggests, it tween components has low fric- uses two nuts preloaded against tion, yielding high efficiency. Be- each other on one screw. There is cause the rolling members are no sacrifice of life for its de- fixed relative to each other and creased backlash, but the double never touch adjacent rollers, nut costs more than standard sin- roller screws can turn at speeds gle-nut arrangements. -
Light and Illumination
ChapterChapter 3333 -- LightLight andand IlluminationIllumination AAA PowerPointPowerPointPowerPoint PresentationPresentationPresentation bybyby PaulPaulPaul E.E.E. Tippens,Tippens,Tippens, ProfessorProfessorProfessor ofofof PhysicsPhysicsPhysics SouthernSouthernSouthern PolytechnicPolytechnicPolytechnic StateStateState UniversityUniversityUniversity © 2007 Objectives:Objectives: AfterAfter completingcompleting thisthis module,module, youyou shouldshould bebe ableable to:to: •• DefineDefine lightlight,, discussdiscuss itsits properties,properties, andand givegive thethe rangerange ofof wavelengthswavelengths forfor visiblevisible spectrum.spectrum. •• ApplyApply thethe relationshiprelationship betweenbetween frequenciesfrequencies andand wavelengthswavelengths forfor opticaloptical waves.waves. •• DefineDefine andand applyapply thethe conceptsconcepts ofof luminousluminous fluxflux,, luminousluminous intensityintensity,, andand illuminationillumination.. •• SolveSolve problemsproblems similarsimilar toto thosethose presentedpresented inin thisthis module.module. AA BeginningBeginning DefinitionDefinition AllAll objectsobjects areare emittingemitting andand absorbingabsorbing EMEM radiaradia-- tiontion.. ConsiderConsider aa pokerpoker placedplaced inin aa fire.fire. AsAs heatingheating occurs,occurs, thethe 1 emittedemitted EMEM waveswaves havehave 2 higherhigher energyenergy andand 3 eventuallyeventually becomebecome visible.visible. 4 FirstFirst redred .. .. .. thenthen white.white. LightLightLight maymaymay bebebe defineddefineddefined -
EMT UNIT 1 (Laws of Reflection and Refraction, Total Internal Reflection).Pdf
Electromagnetic Theory II (EMT II); Online Unit 1. REFLECTION AND TRANSMISSION AT OBLIQUE INCIDENCE (Laws of Reflection and Refraction and Total Internal Reflection) (Introduction to Electrodynamics Chap 9) Instructor: Shah Haidar Khan University of Peshawar. Suppose an incident wave makes an angle θI with the normal to the xy-plane at z=0 (in medium 1) as shown in Figure 1. Suppose the wave splits into parts partially reflecting back in medium 1 and partially transmitting into medium 2 making angles θR and θT, respectively, with the normal. Figure 1. To understand the phenomenon at the boundary at z=0, we should apply the appropriate boundary conditions as discussed in the earlier lectures. Let us first write the equations of the waves in terms of electric and magnetic fields depending upon the wave vector κ and the frequency ω. MEDIUM 1: Where EI and BI is the instantaneous magnitudes of the electric and magnetic vector, respectively, of the incident wave. Other symbols have their usual meanings. For the reflected wave, Similarly, MEDIUM 2: Where ET and BT are the electric and magnetic instantaneous vectors of the transmitted part in medium 2. BOUNDARY CONDITIONS (at z=0) As the free charge on the surface is zero, the perpendicular component of the displacement vector is continuous across the surface. (DIꓕ + DRꓕ ) (In Medium 1) = DTꓕ (In Medium 2) Where Ds represent the perpendicular components of the displacement vector in both the media. Converting D to E, we get, ε1 EIꓕ + ε1 ERꓕ = ε2 ETꓕ ε1 ꓕ +ε1 ꓕ= ε2 ꓕ Since the equation is valid for all x and y at z=0, and the coefficients of the exponentials are constants, only the exponentials will determine any change that is occurring. -
Surface Regularized Geometry Estimation from a Single Image
SURGE: Surface Regularized Geometry Estimation from a Single Image Peng Wang1 Xiaohui Shen2 Bryan Russell2 Scott Cohen2 Brian Price2 Alan Yuille3 1University of California, Los Angeles 2Adobe Research 3Johns Hopkins University Abstract This paper introduces an approach to regularize 2.5D surface normal and depth predictions at each pixel given a single input image. The approach infers and reasons about the underlying 3D planar surfaces depicted in the image to snap predicted normals and depths to inferred planar surfaces, all while maintaining fine detail within objects. Our approach comprises two components: (i) a four- stream convolutional neural network (CNN) where depths, surface normals, and likelihoods of planar region and planar boundary are predicted at each pixel, followed by (ii) a dense conditional random field (DCRF) that integrates the four predictions such that the normals and depths are compatible with each other and regularized by the planar region and planar boundary information. The DCRF is formulated such that gradients can be passed to the surface normal and depth CNNs via backpropagation. In addition, we propose new planar-wise metrics to evaluate geometry consistency within planar surfaces, which are more tightly related to dependent 3D editing applications. We show that our regularization yields a 30% relative improvement in planar consistency on the NYU v2 dataset [24]. 1 Introduction Recent efforts to estimate the 2.5D layout of a depicted scene from a single image, such as per-pixel depths and surface normals, have yielded high-quality outputs respecting both the global scene layout and fine object detail [2, 6, 7, 29]. Upon closer inspection, however, the predicted depths and normals may fail to be consistent with the underlying surface geometry. -
Chapter 16: Fourier Series
Chapter 16: Fourier Series 16.1 Fourier Series Analysis: An Overview A periodic function can be represented by an infinite sum of sine and cosine functions that are harmonically related: Ϧ ͚ʚͨʛ Ɣ ͕1 ƍ ȕ ͕) cos ͢!*ͨ ƍ ͖) sin ͢!*ͨ Fourier Coefficients: are)Ͱͥ calculated from ͕1; ͕); ͖) ͚ʚͨʛ Fundamental Frequency: ͦ_ where multiples of this frequency are called !* Ɣ ; ͢! * harmonic frequencies Conditions that ensure that f(t) can be expressed as a convergent Fourier series: (Dirichlet’s conditions) 1. f(t) be single-values 2. f(t) have a finite number of discontinuities in the periodic interval 3. f(t) have a finite number of maxima and minima in the periodic interval 4. the integral /tͮ exists Ȅ/ |͚ʚͨʛ|ͨ͘; t These are sufficient conditions not necessary conditions; therefore if these conditions exist the functions can be expressed as a Fourier series. However if the conditions are not met the function may still be expressible as a Fourier series. 16.2 The Fourier Coefficients Defining the Fourier coefficients: /tͮ 1 ͕1 Ɣ ǹ ͚ʚͨʛͨ͘ ͎ /t /tͮ 2 ͕& Ɣ ǹ ͚ʚͨʛ cos ͟!*ͨ ͨ͘ ͎ /t /tͮ 2 ͖& Ɣ ǹ ͚ʚͨʛ sin ͟!*ͨ ͨ͘ ͎ / t Example 16.1 Find the Fourier series for the periodic waveform shown. Assessment problems 16.1 & 16.2 ECEN 2633 Spring 2011 Page 1 of 5 16.3 The Effects of Symmetry on the Fourier Coefficients Four types of symmetry used to simplify Fourier analysis 1. Even-function symmetry 2. Odd-function symmetry 3. -
CS 468 (Spring 2013) — Discrete Differential Geometry 1 the Unit Normal Vector of a Surface. 2 Surface Area
CS 468 (Spring 2013) | Discrete Differential Geometry Lecture 7 Student Notes: The Second Fundamental Form Lecturer: Adrian Butscher; Scribe: Soohark Chung 1 The unit normal vector of a surface. Figure 1: Normal vector of level set. • The normal line is a geometric feature. The normal direction is not (think of a non-orientable surfaces such as a mobius strip). If possible, you want to pick normal directions that are consistent globally. For example, for a manifold, you can pick normal directions pointing out. • Locally, you can find a normal direction using tangent vectors (though you can't extend this globally). • Normal vector of a parametrized surface: E1 × E2 If TpS = spanfE1;E2g then N := kE1 × E2k This is just the cross product of two tangent vectors normalized by it's length. Because you take the cross product of two vectors, it is orthogonal to the tangent plane. You can see that your choice of tangent vectors and their order determines the direction of the normal vector. • Normal vector of a level set: > [DFp] N := ? TpS kDFpk This is because the gradient at any point is perpendicular to the level set. This makes sense intuitively if you remember that the gradient is the "direction of the greatest increase" and that the value of the level set function stays constant along the surface. Of course, you also have to normalize it to be unit length. 2 Surface Area. • We want to be able to take the integral of the surface. One approach to the problem may be to inegrate a parametrized surface in the parameter domain. -
Curl, Divergence and Laplacian
Curl, Divergence and Laplacian What to know: 1. The definition of curl and it two properties, that is, theorem 1, and be able to predict qualitatively how the curl of a vector field behaves from a picture. 2. The definition of divergence and it two properties, that is, if div F~ 6= 0 then F~ can't be written as the curl of another field, and be able to tell a vector field of clearly nonzero,positive or negative divergence from the picture. 3. Know the definition of the Laplace operator 4. Know what kind of objects those operator take as input and what they give as output. The curl operator Let's look at two plots of vector fields: Figure 1: The vector field Figure 2: The vector field h−y; x; 0i: h1; 1; 0i We can observe that the second one looks like it is rotating around the z axis. We'd like to be able to predict this kind of behavior without having to look at a picture. We also promised to find a criterion that checks whether a vector field is conservative in R3. Both of those goals are accomplished using a tool called the curl operator, even though neither of those two properties is exactly obvious from the definition we'll give. Definition 1. Let F~ = hP; Q; Ri be a vector field in R3, where P , Q and R are continuously differentiable. We define the curl operator: @R @Q @P @R @Q @P curl F~ = − ~i + − ~j + − ~k: (1) @y @z @z @x @x @y Remarks: 1.