Effects of 20-H Rule and Shielding Vias on Electromagnetic Radiation From Printed Circuit Boards

Size: px
Start display at page:

Download "Effects of 20-H Rule and Shielding Vias on Electromagnetic Radiation From Printed Circuit Boards"

Transcription

1 Effects of 20-H Rule an Shieling Vias on Electromagnetic Raiation From Printe Circuit Boars Huabo Chen, Stuent Member, IEEE, an Jiayuan Fang, Senior Member, IEEE Dept. of Electrical Engineering, University of California at Santa Cruz, Santa Cruz, CA Tel: (83) Fax: (83) Abstract: This paper investigates the effects of 20-H rule an shieling vias on electromagnetic raiation from the printe circuits boars. Introuction As the operating frequency of electronic circuits continues to increase, toay s package an printe circuit boar esigners face more raiation problem than ever before. The control of raiate emissions to make the package comply with raiation constraints is one of the most important aspects of the EMC stuy. Some rules-of-thumb are employe to help the esigners to reuce the raiation problems. This paper presents an investigation on the effects of the 20-H rule an the shieling vias on raiation from printe circuit boars. Effects of 20-H Rule The 20-H rule [][3] states that the groun planes are extene beyon the s by about 20 times the istance between the planes. Let us consier the simple structure consisting of one an one groun plane shown in Figure (a). The 20-H rule structure is shown in Figure. groun plane 20 groun plane (a) two planes are of the same size 20-H rule 20 2 groun plane image of Since the raiation is closely relate to reflection coefficient at the open en of the two planes, the reflection coefficient is then investigate. Assume the planes have zero thickness, the reflection coefficient at the open en of two parallel planes shown in Figure (a) can be foun in [2] where an (c) image of the in 20-H rule structure R R Figure jθ = R e, () πq = e, (2) 2 sin q = + 2m θ 2q C ln A2 m+ ( S 2m+ ) q, (3) q q m= q =, (4) λ

2 where C is Euler s constant, which is , λ is the wavelength an is the plane separation. A 2 m+ is the expansion coefficient of the function sin x, S2 m+ can be obtaine by sin 2m+ x = A2 m+ x. (5) m= 0 S 2m+ =. (6) 2m+ n= n The amplitue an phase of the reflection coefficient as functions of the plane separation are shown in Figure 2(a) an 2 respectively. It can be seen that the larger the separation between planes, the smaller the amplitue of the reflections coefficient an the larger the raiation. The reflection coefficient of the 20-H rule structure can be estimate by that of the an its image pair as shown in Figure (c). Because the separation between the an its image plane is twice as large as that of the structure shown in Figure (a), the reflection coefficient of the 20-H rule structure is smaller in the amplitue. Therefore, more raiation is expecte to come out of the eges of the boar implemente with 20-H rule. The test structure for the numerical computation is shown in Figure 3. The size of the groun plane is 0cm by 0cm an the plane separation is 0.5mm. The relative ielectric constant is 4.0. The of the 20-H rule structure is cm smaller than the groun plane on each sie. 3-D FDTD metho is use to compute the raiation. The raiation power is efine as the surface integration of the poynting vector v v v P t = E H s, (7) ( ) ( ) Enclose Surface where E v is the electric fiel an H v is the magnetic fiel, on an enclose surface of the boar structure. The raiation is compare between the 20-H rule structure an the normal structure where the groun plane an the are both of 0cm x 0cm. Figure 4(a) shows the raiation on the top an the bottom surfaces. The raiation of the 20-H rule structure is somewhat smaller on the bottom surface but increases significantly on the top surface. The total raiation on the enclose surface is shown in Figure 4, from which one can see the raiation from the 20-H rule boar is much stronger than that from the boar of the same size planes. This observation is consistent with the theoretical analysis presente above. Figure 3 two-plane test structure Figure 5 three-plane test structure Consier the case where the 20-H rule is applie to the three-plane structure shown in Figure 5. The top an bottom groun planes are of the same size. The at the mile is shrinke insie by the 20-H rule. Raiation is examine on the enclose surface. Figure 6(a) an compare the raiation of the normal structure an the 20-H rule structure on the top an the bottom surfaces. It is foun that for the more than two plane structure, there is no significant change in raiation if the in the mile is setback using 20-H rule.

3 Effects of Shieling Vias The effects of shieling vias are also stuie using FDTD metho. Shieling vias are ae to connect the two groun planes on four eges of the three-plane structure shown in Figure 5. The raiation from the boar with ifferent numbers of shieling vias is compare in Figure 7. It can be seen that a small number of shieling vias can cut the raiation significantly. Conclusion This paper investigates the effects of 20-H rule an shieling vias on the raiation from the printe circuit boar. For the two-plane structure, 20-H rule yiels much more raiation than the normal structure. For the multiple plane case, no significant change in raiation is foun if the 20-H rule is applie to the internal planes. Also the numerical result shows that the usage of shieling vias woul cut own the raiation effectively. Reference [] Mark I. Montrose, Printe Circuit Boar Design Techniques for EMC Compliance, New York: IEEE Inc., 996. [2] I. A. Weinstein, The Theory of Diffraction an the Factorization Metho (Generalize Wiener-Hopf Technique), Bouler: Golem Press, 969. [3] Dr. Zorica Pantic-Tanner & Franz Gisin, Raiation from Ege Effects in Printe Circuit Boars (PCBs), presentation at the monthly chapter meeting of Santa Clara Valley Chapter of IEEE EMC Society, May, (a) Figure 2. Reflection coefficient at the open en of two parallel planes (a) amplitue phase

4 (a) Figure 4. Comparison of the raiation of two-plane structure on (a) top an bottom surface summation of all the surfaces (a) Figure 6. Comparison of the raiation of three-plane structure on (a) top surface bottom surface Figure 7. Raiation from the boar with shieling vias

5

Design and Analysis of Printed Circuit Boards Using FDTD Method for The 20-H Rule

Design and Analysis of Printed Circuit Boards Using FDTD Method for The 20-H Rule Singapore-MIT Alliance Annual Symposium 22 Design and Analysis of Printed Circuit Boards Using FDTD Method for The 2-H Rule Jiang Yi, Le-Wei Li and Er-Ping Li Abstract--With the increasing demand of higher

More information

Day 4: Motion Along a Curve Vectors

Day 4: Motion Along a Curve Vectors Day 4: Motion Along a Curve Vectors I give my stuents the following list of terms an formulas to know. Parametric Equations, Vectors, an Calculus Terms an Formulas to Know: If a smooth curve C is given

More information

TEST 2 (PHY 250) Figure Figure P26.21

TEST 2 (PHY 250) Figure Figure P26.21 TEST 2 (PHY 250) 1. a) Write the efinition (in a full sentence) of electric potential. b) What is a capacitor? c) Relate the electric torque, exerte on a molecule in a uniform electric fiel, with the ipole

More information

10. Magnetism. ) it is. S G appropriate to call the magnetic pole

10. Magnetism. ) it is. S G appropriate to call the magnetic pole 10 agnetism The wor magnetism is erive from iron ore magnetite (Fe 3 O 4, which was foun in the islan of magnesia in Greece It is believe that the Chinese ha known the property of the magnet even in 000

More information

A Model of Electron-Positron Pair Formation

A Model of Electron-Positron Pair Formation Volume PROGRESS IN PHYSICS January, 8 A Moel of Electron-Positron Pair Formation Bo Lehnert Alfvén Laboratory, Royal Institute of Technology, S-44 Stockholm, Sween E-mail: Bo.Lehnert@ee.kth.se The elementary

More information

Nuclear Physics and Astrophysics

Nuclear Physics and Astrophysics Nuclear Physics an Astrophysics PHY-302 Dr. E. Rizvi Lecture 2 - Introuction Notation Nuclies A Nuclie is a particular an is esignate by the following notation: A CN = Atomic Number (no. of Protons) A

More information

Chapter 6. Electromagnetic Oscillations and Alternating Current

Chapter 6. Electromagnetic Oscillations and Alternating Current hapter 6 Electromagnetic Oscillations an Alternating urrent hapter 6: Electromagnetic Oscillations an Alternating urrent (hapter 31, 3 in textbook) 6.1. Oscillations 6.. The Electrical Mechanical Analogy

More information

In the usual geometric derivation of Bragg s Law one assumes that crystalline

In the usual geometric derivation of Bragg s Law one assumes that crystalline Diffraction Principles In the usual geometric erivation of ragg s Law one assumes that crystalline arrays of atoms iffract X-rays just as the regularly etche lines of a grating iffract light. While this

More information

Physics for Scientists & Engineers 2

Physics for Scientists & Engineers 2 Capacitors Physics for Scientists & Engineers 2 Spring Semester 2005 Lecture 12 Capacitors are evices that can store electrical energy Capacitors are use in many every-ay applications Heart efibrillators

More information

A Quantitative Analysis of Coupling for a WPT System Including Dielectric/Magnetic Materials

A Quantitative Analysis of Coupling for a WPT System Including Dielectric/Magnetic Materials Progress In Electromagnetics Research Letters, Vol. 72, 127 134, 2018 A Quantitative Analysis of Coupling for a WPT System Incluing Dielectric/Magnetic Materials Yangjun Zhang *, Tatsuya Yoshiawa, an Taahiro

More information

V q.. REASONING The potential V created by a point charge q at a spot that is located at a

V q.. REASONING The potential V created by a point charge q at a spot that is located at a 8. REASONING The electric potential at a istance r from a point charge q is given by Equation 9.6 as kq / r. The total electric potential at location P ue to the four point charges is the algebraic sum

More information

Homework 7 Due 18 November at 6:00 pm

Homework 7 Due 18 November at 6:00 pm Homework 7 Due 18 November at 6:00 pm 1. Maxwell s Equations Quasi-statics o a An air core, N turn, cylinrical solenoi of length an raius a, carries a current I Io cos t. a. Using Ampere s Law, etermine

More information

3-dimensional Evolution of an Emerging Flux Tube in the Sun. T. Magara

3-dimensional Evolution of an Emerging Flux Tube in the Sun. T. Magara 3-imensional Evolution of an Emerging Flux Tube in the Sun T. Magara (Montana State University) February 6, 2002 Introuction of the stuy Dynamical evolution of emerging fiel lines Physical process working

More information

Conservation laws a simple application to the telegraph equation

Conservation laws a simple application to the telegraph equation J Comput Electron 2008 7: 47 51 DOI 10.1007/s10825-008-0250-2 Conservation laws a simple application to the telegraph equation Uwe Norbrock Reinhol Kienzler Publishe online: 1 May 2008 Springer Scienceusiness

More information

Wave Propagation in Grounded Dielectric Slabs with Double Negative Metamaterials

Wave Propagation in Grounded Dielectric Slabs with Double Negative Metamaterials 6 Progress In Electromagnetics Research Symposium 6, Cambrige, US, March 6-9 Wave Propagation in Groune Dielectric Slabs with Double Negative Metamaterials W. Shu an J. M. Song Iowa State University, US

More information

MATH , 06 Differential Equations Section 03: MWF 1:00pm-1:50pm McLaury 306 Section 06: MWF 3:00pm-3:50pm EEP 208

MATH , 06 Differential Equations Section 03: MWF 1:00pm-1:50pm McLaury 306 Section 06: MWF 3:00pm-3:50pm EEP 208 MATH 321-03, 06 Differential Equations Section 03: MWF 1:00pm-1:50pm McLaury 306 Section 06: MWF 3:00pm-3:50pm EEP 208 Instructor: Brent Deschamp Email: brent.eschamp@ssmt.eu Office: McLaury 316B Phone:

More information

This section outlines the methodology used to calculate the wave load and wave wind load values.

This section outlines the methodology used to calculate the wave load and wave wind load values. COMPUTERS AND STRUCTURES, INC., JUNE 2014 AUTOMATIC WAVE LOADS TECHNICAL NOTE CALCULATION O WAVE LOAD VALUES This section outlines the methoology use to calculate the wave loa an wave win loa values. Overview

More information

Thermal conductivity of graded composites: Numerical simulations and an effective medium approximation

Thermal conductivity of graded composites: Numerical simulations and an effective medium approximation JOURNAL OF MATERIALS SCIENCE 34 (999)5497 5503 Thermal conuctivity of grae composites: Numerical simulations an an effective meium approximation P. M. HUI Department of Physics, The Chinese University

More information

Table of Common Derivatives By David Abraham

Table of Common Derivatives By David Abraham Prouct an Quotient Rules: Table of Common Derivatives By Davi Abraham [ f ( g( ] = [ f ( ] g( + f ( [ g( ] f ( = g( [ f ( ] g( g( f ( [ g( ] Trigonometric Functions: sin( = cos( cos( = sin( tan( = sec

More information

Harmonic Modelling of Thyristor Bridges using a Simplified Time Domain Method

Harmonic Modelling of Thyristor Bridges using a Simplified Time Domain Method 1 Harmonic Moelling of Thyristor Briges using a Simplifie Time Domain Metho P. W. Lehn, Senior Member IEEE, an G. Ebner Abstract The paper presents time omain methos for harmonic analysis of a 6-pulse

More information

CAPACITANCE: CHAPTER 24. ELECTROSTATIC ENERGY and CAPACITANCE. Capacitance and capacitors Storage of electrical energy. + Example: A charged spherical

CAPACITANCE: CHAPTER 24. ELECTROSTATIC ENERGY and CAPACITANCE. Capacitance and capacitors Storage of electrical energy. + Example: A charged spherical CAPACITANCE: CHAPTER 24 ELECTROSTATIC ENERGY an CAPACITANCE Capacitance an capacitors Storage of electrical energy Energy ensity of an electric fiel Combinations of capacitors In parallel In series Dielectrics

More information

3.7 Implicit Differentiation -- A Brief Introduction -- Student Notes

3.7 Implicit Differentiation -- A Brief Introduction -- Student Notes Fin these erivatives of these functions: y.7 Implicit Differentiation -- A Brief Introuction -- Stuent Notes tan y sin tan = sin y e = e = Write the inverses of these functions: y tan y sin How woul we

More information

x f(x) x f(x) approaching 1 approaching 0.5 approaching 1 approaching 0.

x f(x) x f(x) approaching 1 approaching 0.5 approaching 1 approaching 0. Engineering Mathematics 2 26 February 2014 Limits of functions Consier the function 1 f() = 1. The omain of this function is R + \ {1}. The function is not efine at 1. What happens when is close to 1?

More information

Lie symmetry and Mei conservation law of continuum system

Lie symmetry and Mei conservation law of continuum system Chin. Phys. B Vol. 20, No. 2 20 020 Lie symmetry an Mei conservation law of continuum system Shi Shen-Yang an Fu Jing-Li Department of Physics, Zhejiang Sci-Tech University, Hangzhou 3008, China Receive

More information

Diophantine Approximations: Examining the Farey Process and its Method on Producing Best Approximations

Diophantine Approximations: Examining the Farey Process and its Method on Producing Best Approximations Diophantine Approximations: Examining the Farey Process an its Metho on Proucing Best Approximations Kelly Bowen Introuction When a person hears the phrase irrational number, one oes not think of anything

More information

Math 1B, lecture 8: Integration by parts

Math 1B, lecture 8: Integration by parts Math B, lecture 8: Integration by parts Nathan Pflueger 23 September 2 Introuction Integration by parts, similarly to integration by substitution, reverses a well-known technique of ifferentiation an explores

More information

The Principle of Least Action

The Principle of Least Action Chapter 7. The Principle of Least Action 7.1 Force Methos vs. Energy Methos We have so far stuie two istinct ways of analyzing physics problems: force methos, basically consisting of the application of

More information

Linear First-Order Equations

Linear First-Order Equations 5 Linear First-Orer Equations Linear first-orer ifferential equations make up another important class of ifferential equations that commonly arise in applications an are relatively easy to solve (in theory)

More information

Study on aero-acoustic structural interactions in fan-ducted system

Study on aero-acoustic structural interactions in fan-ducted system Stuy on aero-acoustic structural interactions in fan-ucte system Yan-kei CHIANG 1 ; Yat-sze CHOY ; Li CHENG 3 ; Shiu-keung TANG 4 1,, 3 Department of Mechanical Engineering, The Hong Kong Polytechnic University,

More information

SOLUTION & ANSWER FOR KCET-2009 VERSION A1 [PHYSICS]

SOLUTION & ANSWER FOR KCET-2009 VERSION A1 [PHYSICS] SOLUTION & ANSWER FOR KCET-009 VERSION A [PHYSICS]. The number of significant figures in the numbers.8000 ---- 5 an 7.8000 5 significant igits 8000.50 7 significant igits. β-ecay means emission of electron

More information

Optimization of Geometries by Energy Minimization

Optimization of Geometries by Energy Minimization Optimization of Geometries by Energy Minimization by Tracy P. Hamilton Department of Chemistry University of Alabama at Birmingham Birmingham, AL 3594-140 hamilton@uab.eu Copyright Tracy P. Hamilton, 1997.

More information

Due to Sun s (and rest of solar system s) motion [Fig 16-3, relative_motion.avi]

Due to Sun s (and rest of solar system s) motion [Fig 16-3, relative_motion.avi] Chapter 6: Basic Properties of Stars Star Names Ancient Arabic, Greek or Latin names By constellation, ecreasing orer of brightness α alpha, β beta, γ gamma... Stellar istances Pre-telescope Observations

More information

TRACKING CONTROL OF MULTIPLE MOBILE ROBOTS: A CASE STUDY OF INTER-ROBOT COLLISION-FREE PROBLEM

TRACKING CONTROL OF MULTIPLE MOBILE ROBOTS: A CASE STUDY OF INTER-ROBOT COLLISION-FREE PROBLEM 265 Asian Journal of Control, Vol. 4, No. 3, pp. 265-273, September 22 TRACKING CONTROL OF MULTIPLE MOBILE ROBOTS: A CASE STUDY OF INTER-ROBOT COLLISION-FREE PROBLEM Jurachart Jongusuk an Tsutomu Mita

More information

d dx But have you ever seen a derivation of these results? We ll prove the first result below. cos h 1

d dx But have you ever seen a derivation of these results? We ll prove the first result below. cos h 1 Lecture 5 Some ifferentiation rules Trigonometric functions (Relevant section from Stewart, Seventh Eition: Section 3.3) You all know that sin = cos cos = sin. () But have you ever seen a erivation of

More information

PERMANENT MAGNETS CHAPTER MAGNETIC POLES AND BAR MAGNETS

PERMANENT MAGNETS CHAPTER MAGNETIC POLES AND BAR MAGNETS CHAPTER 6 PERAET AGET 6. AGETIC POLE AD BAR AGET We have seen that a small current-loop carrying a current i, prouces a magnetic fiel B o 4 ji ' at an axial point. Here p ia is the magnetic ipole moment

More information

Lecture XII. where Φ is called the potential function. Let us introduce spherical coordinates defined through the relations

Lecture XII. where Φ is called the potential function. Let us introduce spherical coordinates defined through the relations Lecture XII Abstract We introuce the Laplace equation in spherical coorinates an apply the metho of separation of variables to solve it. This will generate three linear orinary secon orer ifferential equations:

More information

Lecture 2 Lagrangian formulation of classical mechanics Mechanics

Lecture 2 Lagrangian formulation of classical mechanics Mechanics Lecture Lagrangian formulation of classical mechanics 70.00 Mechanics Principle of stationary action MATH-GA To specify a motion uniquely in classical mechanics, it suffices to give, at some time t 0,

More information

On Ruby s solid angle formula and some of its generalizations

On Ruby s solid angle formula and some of its generalizations On Ruby s soli angle formula an some of its generalizations Samuel Friot arxiv:4.3985v [nucl-ex] 5 Oct 4 Abstract Institut e Physique Nucléaire Orsay Université Paris-Su, INP3-NRS, F-945 Orsay eex, France

More information

THE USE OF KIRCHOFF S CURRENT LAW AND CUT-SET EQUATIONS IN THE ANALYSIS OF BRIDGES AND TRUSSES

THE USE OF KIRCHOFF S CURRENT LAW AND CUT-SET EQUATIONS IN THE ANALYSIS OF BRIDGES AND TRUSSES Session TH US O KIRCHO S CURRNT LAW AND CUT-ST QUATIONS IN TH ANALYSIS O BRIDGS AND TRUSSS Ravi P. Ramachanran an V. Ramachanran. Department of lectrical an Computer ngineering, Rowan University, Glassboro,

More information

Lagrangian and Hamiltonian Mechanics

Lagrangian and Hamiltonian Mechanics Lagrangian an Hamiltonian Mechanics.G. Simpson, Ph.. epartment of Physical Sciences an Engineering Prince George s Community College ecember 5, 007 Introuction In this course we have been stuying classical

More information

AIEEE Physics Model Question Paper

AIEEE Physics Model Question Paper IEEE Physics Moel Question Paper ote: Question o. 11 to 1 an 1 to consist of Eight (8) marks each for each correct response an remaining questions consist of Four (4) marks. ¼ marks will be eucte for inicating

More information

TAYLOR S POLYNOMIAL APPROXIMATION FOR FUNCTIONS

TAYLOR S POLYNOMIAL APPROXIMATION FOR FUNCTIONS MISN-0-4 TAYLOR S POLYNOMIAL APPROXIMATION FOR FUNCTIONS f(x ± ) = f(x) ± f ' (x) + f '' (x) 2 ±... 1! 2! = 1.000 ± 0.100 + 0.005 ±... TAYLOR S POLYNOMIAL APPROXIMATION FOR FUNCTIONS by Peter Signell 1.

More information

Analytic Scaling Formulas for Crossed Laser Acceleration in Vacuum

Analytic Scaling Formulas for Crossed Laser Acceleration in Vacuum October 6, 4 ARDB Note Analytic Scaling Formulas for Crosse Laser Acceleration in Vacuum Robert J. Noble Stanfor Linear Accelerator Center, Stanfor University 575 San Hill Roa, Menlo Park, California 945

More information

A simple model for the small-strain behaviour of soils

A simple model for the small-strain behaviour of soils A simple moel for the small-strain behaviour of soils José Jorge Naer Department of Structural an Geotechnical ngineering, Polytechnic School, University of São Paulo 05508-900, São Paulo, Brazil, e-mail:

More information

Physics 505 Electricity and Magnetism Fall 2003 Prof. G. Raithel. Problem Set 3. 2 (x x ) 2 + (y y ) 2 + (z + z ) 2

Physics 505 Electricity and Magnetism Fall 2003 Prof. G. Raithel. Problem Set 3. 2 (x x ) 2 + (y y ) 2 + (z + z ) 2 Physics 505 Electricity an Magnetism Fall 003 Prof. G. Raithel Problem Set 3 Problem.7 5 Points a): Green s function: Using cartesian coorinates x = (x, y, z), it is G(x, x ) = 1 (x x ) + (y y ) + (z z

More information

Lectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs

Lectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs Lectures - Week 10 Introuction to Orinary Differential Equations (ODES) First Orer Linear ODEs When stuying ODEs we are consiering functions of one inepenent variable, e.g., f(x), where x is the inepenent

More information

PARALLEL-PLATE CAPACITATOR

PARALLEL-PLATE CAPACITATOR Physics Department Electric an Magnetism Laboratory PARALLEL-PLATE CAPACITATOR 1. Goal. The goal of this practice is the stuy of the electric fiel an electric potential insie a parallelplate capacitor.

More information

PH 132 Exam 1 Spring Student Name. Student Number. Lab/Recitation Section Number (11,,36)

PH 132 Exam 1 Spring Student Name. Student Number. Lab/Recitation Section Number (11,,36) PH 13 Exam 1 Spring 010 Stuent Name Stuent Number ab/ecitation Section Number (11,,36) Instructions: 1. Fill out all of the information requeste above. Write your name on each page.. Clearly inicate your

More information

EXPONENTIAL FOURIER INTEGRAL TRANSFORM METHOD FOR STRESS ANALYSIS OF BOUNDARY LOAD ON SOIL

EXPONENTIAL FOURIER INTEGRAL TRANSFORM METHOD FOR STRESS ANALYSIS OF BOUNDARY LOAD ON SOIL Tome XVI [18] Fascicule 3 [August] 1. Charles Chinwuba IKE EXPONENTIAL FOURIER INTEGRAL TRANSFORM METHOD FOR STRESS ANALYSIS OF BOUNDARY LOAD ON SOIL 1. Department of Civil Engineering, Enugu State University

More information

FINAL EXAM 1 SOLUTIONS Below is the graph of a function f(x). From the graph, read off the value (if any) of the following limits: x 1 +

FINAL EXAM 1 SOLUTIONS Below is the graph of a function f(x). From the graph, read off the value (if any) of the following limits: x 1 + FINAL EXAM 1 SOLUTIONS 2011 1. Below is the graph of a function f(x). From the graph, rea off the value (if any) of the following its: x 1 = 0 f(x) x 1 + = 1 f(x) x 0 = x 0 + = 0 x 1 = 1 1 2 FINAL EXAM

More information

Problem Set 2: Solutions

Problem Set 2: Solutions UNIVERSITY OF ALABAMA Department of Physics an Astronomy PH 102 / LeClair Summer II 2010 Problem Set 2: Solutions 1. The en of a charge rubber ro will attract small pellets of Styrofoam that, having mae

More information

and from it produce the action integral whose variation we set to zero:

and from it produce the action integral whose variation we set to zero: Lagrange Multipliers Monay, 6 September 01 Sometimes it is convenient to use reunant coorinates, an to effect the variation of the action consistent with the constraints via the metho of Lagrange unetermine

More information

Simulation of Angle Beam Ultrasonic Testing with a Personal Computer

Simulation of Angle Beam Ultrasonic Testing with a Personal Computer Key Engineering Materials Online: 4-8-5 I: 66-9795, Vols. 7-73, pp 38-33 oi:.48/www.scientific.net/kem.7-73.38 4 rans ech ublications, witzerlan Citation & Copyright (to be inserte by the publisher imulation

More information

A Path Planning Method Using Cubic Spiral with Curvature Constraint

A Path Planning Method Using Cubic Spiral with Curvature Constraint A Path Planning Metho Using Cubic Spiral with Curvature Constraint Tzu-Chen Liang an Jing-Sin Liu Institute of Information Science 0, Acaemia Sinica, Nankang, Taipei 5, Taiwan, R.O.C., Email: hartree@iis.sinica.eu.tw

More information

Both the ASME B and the draft VDI/VDE 2617 have strengths and

Both the ASME B and the draft VDI/VDE 2617 have strengths and Choosing Test Positions for Laser Tracker Evaluation an Future Stanars Development ala Muralikrishnan 1, Daniel Sawyer 1, Christopher lackburn 1, Steven Phillips 1, Craig Shakarji 1, E Morse 2, an Robert

More information

Kinetic Energy Is Important in the Nanoscale World

Kinetic Energy Is Important in the Nanoscale World Kinetic Energy Is Important in the Nanoscale Worl Frank Riou Department of Chemistry College of St. Beneict & St. John's University St. Joseph, MN 56374 Most eplanations of atomic an molecular phenomena

More information

Extension of de Weger s Attack on RSA with Large Public Keys

Extension of de Weger s Attack on RSA with Large Public Keys Extension of e Weger s Attack on RSA with Large Public Keys Nicolas T. Courtois, Theoosis Mourouzis an Pho V. Le Department of Computer Science, University College Lonon, Gower Street, Lonon, U.K. {n.courtois,

More information

MATHEMATICS BONUS FILES for faculty and students

MATHEMATICS BONUS FILES for faculty and students MATHMATI BONU FIL for faculty an stuents http://www.onu.eu/~mcaragiu1/bonus_files.html RIVD: May 15, 9 PUBLIHD: May 5, 9 toffel 1 Maxwell s quations through the Major Vector Theorems Joshua toffel Department

More information

COMPACT BANDPASS FILTERS UTILIZING DIELECTRIC FILLED WAVEGUIDES

COMPACT BANDPASS FILTERS UTILIZING DIELECTRIC FILLED WAVEGUIDES Progress In Electromagnetics Research B, Vol. 7, 105 115, 008 COMPACT BADPASS FILTERS UTILIZIG DIELECTRIC FILLED WAVEGUIDES H. Ghorbanineja an M. Khalaj-Amirhosseini College of Electrical Engineering Iran

More information

Semiclassical analysis of long-wavelength multiphoton processes: The Rydberg atom

Semiclassical analysis of long-wavelength multiphoton processes: The Rydberg atom PHYSICAL REVIEW A 69, 063409 (2004) Semiclassical analysis of long-wavelength multiphoton processes: The Ryberg atom Luz V. Vela-Arevalo* an Ronal F. Fox Center for Nonlinear Sciences an School of Physics,

More information

Statics, Quasistatics, and Transmission Lines

Statics, Quasistatics, and Transmission Lines CHAPTER 6 Statics, Quasistatics, an Transmission Lines In the preceing chapters, we learne that the phenomenon of wave propagation is base upon the interaction between the time-varying or ynamic electric

More information

Qubit channels that achieve capacity with two states

Qubit channels that achieve capacity with two states Qubit channels that achieve capacity with two states Dominic W. Berry Department of Physics, The University of Queenslan, Brisbane, Queenslan 4072, Australia Receive 22 December 2004; publishe 22 March

More information

Lecture 6: Control of Three-Phase Inverters

Lecture 6: Control of Three-Phase Inverters Yoash Levron The Anrew an Erna Viterbi Faculty of Electrical Engineering, Technion Israel Institute of Technology, Haifa 323, Israel yoashl@ee.technion.ac.il Juri Belikov Department of Computer Systems,

More information

θ x = f ( x,t) could be written as

θ x = f ( x,t) could be written as 9. Higher orer PDEs as systems of first-orer PDEs. Hyperbolic systems. For PDEs, as for ODEs, we may reuce the orer by efining new epenent variables. For example, in the case of the wave equation, (1)

More information

Microwave Reflection from the Region of Electron Cyclotron Resonance Heating in the L-2M Stellarator )

Microwave Reflection from the Region of Electron Cyclotron Resonance Heating in the L-2M Stellarator ) Microwave Reflection from the Region of Electron Cyclotron Resonance Heating in the L-2M Stellarator German M. BATANOV, Valentin D. BORZOSEKOV, Nikolay K. KHARCHEV, Leoni V. KOLIK, Eugeny M. KONCHEKOV,

More information

Variational principle for limit cycles of the Rayleigh van der Pol equation

Variational principle for limit cycles of the Rayleigh van der Pol equation PHYICAL REVIEW E VOLUME 59, NUMBER 5 MAY 999 Variational principle for limit cycles of the Rayleigh van er Pol equation R. D. Benguria an M. C. Depassier Faculta e Física, Pontificia Universia Católica

More information

6.003 Homework #7 Solutions

6.003 Homework #7 Solutions 6.003 Homework #7 Solutions Problems. Secon-orer systems The impulse response of a secon-orer CT system has the form h(t) = e σt cos(ω t + φ)u(t) where the parameters σ, ω, an φ are relate to the parameters

More information

Electromagnet Gripping in Iron Foundry Automation Part II: Simulation

Electromagnet Gripping in Iron Foundry Automation Part II: Simulation www.ijcsi.org 238 Electromagnet Gripping in Iron Founry Automation Part II: Simulation Rhythm-Suren Wahwa Department of Prouction an Quality Engineering, NTNU Tronheim, 7051, Norway Abstract This paper

More information

The dynamics of the simple pendulum

The dynamics of the simple pendulum .,, 9 G. Voyatzis, ept. of Physics, University of hessaloniki he ynamics of the simple penulum Analytic methos of Mechanics + Computations with Mathematica Outline. he mathematical escription of the moel.

More information

Deriving ARX Models for Synchronous Generators

Deriving ARX Models for Synchronous Generators Deriving AR Moels for Synchronous Generators Yangkun u, Stuent Member, IEEE, Zhixin Miao, Senior Member, IEEE, Lingling Fan, Senior Member, IEEE Abstract Parameter ientification of a synchronous generator

More information

The Exact Form and General Integrating Factors

The Exact Form and General Integrating Factors 7 The Exact Form an General Integrating Factors In the previous chapters, we ve seen how separable an linear ifferential equations can be solve using methos for converting them to forms that can be easily

More information

Lecture 12. Energy, Force, and Work in Electro- and Magneto-Quasistatics

Lecture 12. Energy, Force, and Work in Electro- and Magneto-Quasistatics Lecture 1 Energy, Force, an ork in Electro an MagnetoQuasistatics n this lecture you will learn: Relationship between energy, force, an work in electroquasistatic an magnetoquasistatic systems ECE 303

More information

arxiv: v1 [physics.class-ph] 20 Dec 2017

arxiv: v1 [physics.class-ph] 20 Dec 2017 arxiv:1712.07328v1 [physics.class-ph] 20 Dec 2017 Demystifying the constancy of the Ermakov-Lewis invariant for a time epenent oscillator T. Pamanabhan IUCAA, Post Bag 4, Ganeshkhin, Pune - 411 007, Inia.

More information

APPROXIMATE SOLUTION FOR TRANSIENT HEAT TRANSFER IN STATIC TURBULENT HE II. B. Baudouy. CEA/Saclay, DSM/DAPNIA/STCM Gif-sur-Yvette Cedex, France

APPROXIMATE SOLUTION FOR TRANSIENT HEAT TRANSFER IN STATIC TURBULENT HE II. B. Baudouy. CEA/Saclay, DSM/DAPNIA/STCM Gif-sur-Yvette Cedex, France APPROXIMAE SOLUION FOR RANSIEN HEA RANSFER IN SAIC URBULEN HE II B. Bauouy CEA/Saclay, DSM/DAPNIA/SCM 91191 Gif-sur-Yvette Ceex, France ABSRAC Analytical solution in one imension of the heat iffusion equation

More information

SIMULATION OF POROUS MEDIUM COMBUSTION IN ENGINES

SIMULATION OF POROUS MEDIUM COMBUSTION IN ENGINES SIMULATION OF POROUS MEDIUM COMBUSTION IN ENGINES Jan Macek, Miloš Polášek Czech Technical University in Prague, Josef Božek Research Center Introuction Improvement of emissions from reciprocating internal

More information

Experimental Studies and Parametric Modeling of Ionic Flyers

Experimental Studies and Parametric Modeling of Ionic Flyers 1 Experimental Stuies an Parametric Moeling of Ionic Flyers Chor Fung Chung an Wen J. Li* Centre for Micro an Nano Systems, Faculty of Engineering The Chinese University of Hong Kong *Contact Author: wen@mae.cuhk.eu.hk

More information

Math 1271 Solutions for Fall 2005 Final Exam

Math 1271 Solutions for Fall 2005 Final Exam Math 7 Solutions for Fall 5 Final Eam ) Since the equation + y = e y cannot be rearrange algebraically in orer to write y as an eplicit function of, we must instea ifferentiate this relation implicitly

More information

DT7: Implicit Differentiation

DT7: Implicit Differentiation Differentiation Techniques 7: Implicit Differentiation 143 DT7: Implicit Differentiation Moel 1: Solving for y Most of the functions we have seen in this course are like those in Table 1 (an the first

More information

1 Heisenberg Representation

1 Heisenberg Representation 1 Heisenberg Representation What we have been ealing with so far is calle the Schröinger representation. In this representation, operators are constants an all the time epenence is carrie by the states.

More information

The derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x)

The derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x) Y. D. Chong (2016) MH2801: Complex Methos for the Sciences 1. Derivatives The erivative of a function f(x) is another function, efine in terms of a limiting expression: f (x) f (x) lim x δx 0 f(x + δx)

More information

1 The Derivative of ln(x)

1 The Derivative of ln(x) Monay, December 3, 2007 The Derivative of ln() 1 The Derivative of ln() The first term or semester of most calculus courses will inclue the it efinition of the erivative an will work out, long han, a number

More information

Second Major Solution Q1. The three capacitors in the figure have an equivalent capacitance of 2.77 µf. What is C 2?

Second Major Solution Q1. The three capacitors in the figure have an equivalent capacitance of 2.77 µf. What is C 2? Secon Major Solution Q1. The three capacitors in the figure have an equivalent capacitance of.77 µf. What is C? C 4.0 µf.0 µf A) 7 µf B) µf C) 4 µf D) 3 µf E) 6 µf Q. When the potential ifference across

More information

Upper and Lower Bounds on ε-approximate Degree of AND n and OR n Using Chebyshev Polynomials

Upper and Lower Bounds on ε-approximate Degree of AND n and OR n Using Chebyshev Polynomials Upper an Lower Bouns on ε-approximate Degree of AND n an OR n Using Chebyshev Polynomials Mrinalkanti Ghosh, Rachit Nimavat December 11, 016 1 Introuction The notion of approximate egree was first introuce

More information

'HVLJQ &RQVLGHUDWLRQ LQ 0DWHULDO 6HOHFWLRQ 'HVLJQ 6HQVLWLYLW\,1752'8&7,21

'HVLJQ &RQVLGHUDWLRQ LQ 0DWHULDO 6HOHFWLRQ 'HVLJQ 6HQVLWLYLW\,1752'8&7,21 Large amping in a structural material may be either esirable or unesirable, epening on the engineering application at han. For example, amping is a esirable property to the esigner concerne with limiting

More information

A Course in Machine Learning

A Course in Machine Learning A Course in Machine Learning Hal Daumé III 12 EFFICIENT LEARNING So far, our focus has been on moels of learning an basic algorithms for those moels. We have not place much emphasis on how to learn quickly.

More information

Improving the Lorentz Force Amplitude of an EMAT Using Stacked Coil Configuration

Improving the Lorentz Force Amplitude of an EMAT Using Stacked Coil Configuration Sensors & Transucers, Vol. 155, Issue 8, August 213, pp. 262-27 Sensors & Transucers 213 by IFSA http://www.sensorsportal.com Improving the Lorentz Force Amplitue of an MAT Using Stacke Coil Configuration

More information

Adaptive Optimal Path Following for High Wind Flights

Adaptive Optimal Path Following for High Wind Flights Milano (Italy) August - September, 11 Aaptive Optimal Path Following for High Win Flights Ashwini Ratnoo P.B. Sujit Mangal Kothari Postoctoral Fellow, Department of Aerospace Engineering, Technion-Israel

More information

ELECTRON DIFFRACTION

ELECTRON DIFFRACTION ELECTRON DIFFRACTION Electrons : wave or quanta? Measurement of wavelength an momentum of electrons. Introuction Electrons isplay both wave an particle properties. What is the relationship between the

More information

Appendix A: Mathematical Formulae

Appendix A: Mathematical Formulae Appenix A: Mathematical Formulae A.1 Introuction Mathematical formulae are very important to o in etail analysis of electromagnetic fiels an waves. These formulae are mainly trigonometry, ifferentiation

More information

Physics 2212 K Quiz #2 Solutions Summer 2016

Physics 2212 K Quiz #2 Solutions Summer 2016 Physics 1 K Quiz # Solutions Summer 016 I. (18 points) A positron has the same mass as an electron, but has opposite charge. Consier a positron an an electron at rest, separate by a istance = 1.0 nm. What

More information

A note on asymptotic formulae for one-dimensional network flow problems Carlos F. Daganzo and Karen R. Smilowitz

A note on asymptotic formulae for one-dimensional network flow problems Carlos F. Daganzo and Karen R. Smilowitz A note on asymptotic formulae for one-imensional network flow problems Carlos F. Daganzo an Karen R. Smilowitz (to appear in Annals of Operations Research) Abstract This note evelops asymptotic formulae

More information

CHAPTER: 2 ELECTROSTATIC POTENTIAL AND CAPACITANCE

CHAPTER: 2 ELECTROSTATIC POTENTIAL AND CAPACITANCE CHAPTER: 2 ELECTROSTATIC POTENTIAL AND CAPACITANCE. Define electric potential at a point. *Electric potential at a point is efine as the work one to bring a unit positive charge from infinity to that point.

More information

Vehicle Stability Improvement Based on Electronic Differential Using Sliding Mode Control

Vehicle Stability Improvement Based on Electronic Differential Using Sliding Mode Control 7th WSEAS International Conference on Electric Power Systems, High Voltages, Electric Machines, Venice, Italy, November 1-3, 007 331 Vehicle Stability Improvement Base on Electronic Differential Using

More information

Switching Time Optimization in Discretized Hybrid Dynamical Systems

Switching Time Optimization in Discretized Hybrid Dynamical Systems Switching Time Optimization in Discretize Hybri Dynamical Systems Kathrin Flaßkamp, To Murphey, an Sina Ober-Blöbaum Abstract Switching time optimization (STO) arises in systems that have a finite set

More information

Construction of the Electronic Radial Wave Functions and Probability Distributions of Hydrogen-like Systems

Construction of the Electronic Radial Wave Functions and Probability Distributions of Hydrogen-like Systems Construction of the Electronic Raial Wave Functions an Probability Distributions of Hyrogen-like Systems Thomas S. Kuntzleman, Department of Chemistry Spring Arbor University, Spring Arbor MI 498 tkuntzle@arbor.eu

More information

Sensors & Transducers 2015 by IFSA Publishing, S. L.

Sensors & Transducers 2015 by IFSA Publishing, S. L. Sensors & Transucers, Vol. 184, Issue 1, January 15, pp. 53-59 Sensors & Transucers 15 by IFSA Publishing, S. L. http://www.sensorsportal.com Non-invasive an Locally Resolve Measurement of Soun Velocity

More information

Implicit Differentiation

Implicit Differentiation Implicit Differentiation Thus far, the functions we have been concerne with have been efine explicitly. A function is efine explicitly if the output is given irectly in terms of the input. For instance,

More information

v r 1 E β ; v r v r 2 , t t 2 , t t 1 , t 1 1 v 2 v (3) 2 ; v χ αβγδ r 3 dt 3 , t t 3 ) βγδ [ R 3 ] exp +i ω 3 [ ] τ 1 exp i k v [ ] χ αβγ , τ 1 dτ 3

v r 1 E β ; v r v r 2 , t t 2 , t t 1 , t 1 1 v 2 v (3) 2 ; v χ αβγδ r 3 dt 3 , t t 3 ) βγδ [ R 3 ] exp +i ω 3 [ ] τ 1 exp i k v [ ] χ αβγ , τ 1 dτ 3 ON CLASSICAL ELECTROMAGNETIC FIELDS PAGE 58 VII. NONLINEAR OPTICS -- CLASSICAL PICTURE: AN EXTENDED PHENOMENOLOGICAL MODEL OF POLARIZATION : As an introuction to the subject of nonlinear optical phenomena,

More information

( ) Energy storage in CAPACITORs. q C

( ) Energy storage in CAPACITORs. q C Energy storage in CAPACITORs Charge capacitor by transferring bits of charge q at a time from bottom to top plate. Can use a battery to o this. Battery oes work which increase potential energy of capacitor.

More information

Differentiability, Computing Derivatives, Trig Review. Goals:

Differentiability, Computing Derivatives, Trig Review. Goals: Secants vs. Derivatives - Unit #3 : Goals: Differentiability, Computing Derivatives, Trig Review Determine when a function is ifferentiable at a point Relate the erivative graph to the the graph of an

More information