Microstrip Propagation Times Slower Than We Think
|
|
- Valentine Arnold
- 6 years ago
- Views:
Transcription
1 Most of us have been using incorrect values for the propagation speed of our microstrip traces! The correction factor for ε r we have been using all this time is based on an incorrect premise. This article explains why and develops a superior model for estimating propagation speeds and propagation delays for microstrip configurations. Signal Propagation Speeds Electrical signals on wires and traces travel at the speed of light: 186,280 miles/second! That works out to ft/nanosecond, or 11.8 in/nanosecond, if you do the arithmetic. The speed of light slows down in any other medium by the square root of the relative dielectric coefficient of the medium. Signal propagation time is the inverse of this figure, or ns/in. In an earlier article on this site 1 I posed the question of what happens if we string a wire across a lake and measure the propagation speed, and then lower the wire into the lake and measure the propagation speed when the wire is under water. I pointed out that the propagation speed through the wire under water would be about 1/9th that of the wire in the air! Same signal, same copper, same electrons. But only one-ninth the propagation speed (9 times the propagation time). You see, moving electrons (current) create an electromagnetic field around the wire (or trace). The issue is not how fast the electrons can travel through the wire, the issue is how fast the electromagnetic field can travel through the medium it travels through. In the example above the medium the electromagnetic wave travels through is water. On our circuit boards the medium is the board material, usually (but not always) FR4. So, for example, a stripline trace in FR4 with an ε r of 4.0 would travel at the speed of light divided by the square root of 4 (which is 2) or about 6 /ns. Most of us are pretty comfortable with this figure. Microstrip Environment The propagation speed for a microstrip trace poses the problem that the trace is in a mixed environment. The medium underneath the trace is the board dielectric. The medium above the trace is air. So the electromagnetic wave travels through this mixed medium at a speed somewhere between that of the speed of light and the propagation speed in stripline (approximately one-half that of the speed of light.) There is a correction factor for ε r that has been traditionally used for microstrip environments. It apparently derives from work done in and is as follows: But there is a problem with this. This correction factor is a constant, yet we sometimes observe that different width microstrip traces may have different propagation speeds even though they are in otherwise identical environments. 3 Figure 1 suggests why. Electromagnetic Fields ε ' = ε +.67 Equation 1 r r Figure 1 case (a) illustrates how the electric field lines might be concentrated under a microstrip trace. The trace is referenced to a plane. The return signal will be on the plane directly under the trace. So, the electric field lines will extend from the trace to the plane. Most of the field lines are under the trace, in the dielectric environment, but many extend upwards into the air before they curve back down to the plane. Copyright 2002 by UltraCAD Design, Inc. and Mentor Graphics Corporation 1
2 Case (b) illustrates the same trace, but with a thinner spacing between the trace and plane. Since the spacing between the trace and the plane is closer in case (b), the field intensity will be stronger than in case (a), and the field lines will drop more quickly to the plane. We can think of this situation as case (b) having a higher percentage of its field lines internal to the dielectric, and a lower percentage of its field lines in the air. Since the propagation speed is slower in the dielectric, we can speculate that the signal propagation speed for case (b) will be slower than case (a). Now consider case (c). Here we have a very wide trace. Most of the field lines will be in the dielectric between the trace and the plane, with only a small percentage of them above the trace in the air. Therefore, we might speculate that the speed of this trace will be slower yet. Let s imagine the trace width taken to its limit infinitely wide. If the trace is infinitely wide, then ALL the field lines will be within the dielectric. In fact, there is little conceptual difference in propagation speed between an infinitely wide microstrip trace and a stripline trace. BOTH have the electromagnetic field lines fully contained within the dielectric. The issue becomes looking at the concentration of field lines under the trace. If the (percentage) concentration of field lines increases under the trace, the propagation speed will slow down. Two things contribute to an increase in the concentration of field lines underneath the trace: 1. Bringing the trace closer to the plane. 2. Increasing the t race width. (Note: Increasing the trace thickness has a minor effect on propagation speed, but the effect is much smaller than with the other variables and will be ignored in this paper.) Each of these will cause the propagation speed to slow down. Therefore the typical propagation speed adjustment we have been using for microstrip (Equation 1) cannot be sufficient since it is simply a constant (it only depends on ε r ). Alternative Approach I propose this as an alternative approach. Note that, in the limit, the propagation speed for a microstrip trace is the same as for a stripline trace. The limit is reached with an infinitely wide trace or a zero separation between trace and plane. Under any other conditions, the propagation speed increases. Therefore, we should think of the microstrip propagation speed as some factor of the propagation speed for the same trace in a stripline environment surrounded by a material with the same dielectric coefficient. This latter figure is easy to calculate, it is simply the speed of light, 11.8 in/ns, divided by the square root of the relative dielectric coefficient: (a) Figure 1 Field concentration strength depends on several factors (b) (c) 2
3 PropagationSpeed= 11.8/ ε r in/ns Equation 2 (Note: Up to this point we have talked about propagation speed. From now on we are going to talk about propagation time, which is the inverse of propagation speed. Propagation time is expressed in units of time per unit length, or, when multiplied by length, simply in units of time.) Let s assume we know the propagation time for a trace in a stripline environment (the time for the signal to propagate from one end of the trace to the other.) If we know it no other way, we can at least calculate it based on Equation 2. Now assume we have a microstrip trace with the same dielectric material between it and the reference plane and we want to determine the propagation time for a signal traveling down the microstrip trace. We know two things: The time cannot be shorter than what would be the propagation time through the air, and it cannot be longer than the propagation time for the stripline trace. We can express the propagation time as a fraction of the stripline propagation time: Propagation Time (Microstrip) = fraction * (Propagation Time (Stripline)) Equation 3 This fraction cannot be greater than 1.0 (equating to the stripline propagation time), and there will be some lower limit that we probably don t need to be concerned with (approximately 0.5 for FR4). From the discussion above we know that this fraction will be a function of W (width of the trace) and H (Height above the plane). Role of e r The relative dielectric coefficient also plays a role in this relationship. Consider the situation where there is no underlying plane. Let air extend for an infinite distance above the trace and dielectric material extend for an infinite distance below the trace. The propagation time (the inverse of propagation speed) (expressed per unit length) would be the average of the propagation times above and below the trace, or: AveragePropagationTime= where C = the speed of light. 1 C ε r + C 2 Equation 4 The propagation time for the trace if it were completely surrounded by the dielectric (which is the same as the stripline case) is given by the expression: e r StriplinePropagationTime= C Equation 5 Plugging Equations 4 and 5 into Equation 3, we derive that:.5 Fraction= +.5 e r Equation 6 3
4 See Fig. 2(b) Approx. range of FR4 Fraction W=10 W=100 Fraction W=10 W= Er Er (a) (b) Figure 2 Ratio of the propagation time of a microstrip trace compared to a stripline trace in the same relative dielectric environment, as a function of ε r. Figure 2(b) expands the horizontal axis of Figure 2(a). The two curves represent a 10 mil and 100 mil wide traces spaced 10 mils above the underlying plane. The data is derived from HyperLynx, as described later in the article. Now, if ε r is 1 (i.e. the traces are all surrounded by air), then the fraction is 1.0. That is, the microstrip case equals the stripline case (equals a trace in air). But if ε r approaches infinity, then the fraction goes to 0.5. That is, with very high dielectric coefficient, the propagation time for a wire or trace with air on one side and dielectric on the other would be half that of the propagation time for a wire or trace with dielectric completely surrounding it. This actually makes intuitive sense. As we have suggested above, the Figure 3 fraction in Equation 3 depends on Simple transmission line model in HyperLynx trace Width and Height above the plane. But this analysis shows that, all other things equal, the fraction also goes down as ε r goes up. Figure 2 illustrates this relationship. 4
5 Figure 4 The HyperLynx Edit Stackup menu window. Change stackup parameters here. Figure 5 The HyperLynx Edit Transmission Line Window. Propagation delay can be read directly from this screen. 5
6 See Figure 6 H=5 H=15 Equation 1 Stripline (a) H=5 H=15 Equation 1 Stripline (b) Figure 6. Propagation time varies with trace width. Note how it approaches the stripline value for very wide traces. Equation 1 provides a very poor estimate. Figure 6(b) expands the horizontal axis of Figure 6(a). 6
7 Microstrip Calculations Mentor s HyperLynx simulator is a convenient tool for investigating this relationship. Figure 3 illustrates a very simple transmission line model. Figure 4 illustrates the edit stackup screen where changes to dielectric coefficient, layer thicknesses, etc. can be made. Right-clicking the transmission line element opens the Edit Transmission Line Values window (Figure 5) where trace width and length can be varied and where the trace propagation delay can be read directly. For example, some data derived from the HyperLynx model are shown in Figure 6. The curves show how the propagation time for a two-inch trace changes with trace width. In this example the value for ε r is held constant at 4.3. The horizontal axis reflects increasing trace width along a scale from 1.0 mil to 1,000 mils. The two curves represent two different heights, H, above the plane, 5.0 mils and 15.0 mils respectively. Note how the two traces converge near the stripline propagation time for very wide traces. They also tend to converge at the faster end of the range at very narrow trace widths, where the lowest percentage of the electric field travels through the dielectric. If we used the traditional equation for calculating propagation time in microstrip, based on Equation 1, the estimate would be a constant at 279 ns. regardless of height or trace width! In Search of a Better Formula Regression analysis was used to estimate a better relationship between propagation time and the other variables, Width, Height, and ε r. The procedure used was to generate 96 data points using HyperLynx, as described above. These data points were expressed as a fraction of what the propagation delay would be for a stripline trace in the same dielectric environment. (A fractional delay means a faster propagation speed for the same length trace.) The intent is to generate a calculation model of the form: Propagation time (Microstrip) = fraction * (propagation time in stripline),or e r PropagationTime(microstrip)=fraction* 11.8 ns/in Equation 7 where the fraction variable is the variable we are trying to determine. These 96 data points were entered into a regression model using an Excel spreadsheet. The output from the regression model is shown in the Appendix to this article. The formula for the fraction term works out to be: Fraction = *Ln(W) *H *ε r Equation 8 Where: W = Trace Width (mils) H = Trace Height above the reference plane (mils) Ln = natural logarithm with an R 2 value for this relationship of The average error that can be calculated from this fit is about 1.1 percent of the actual data calculated by the HyperLynx model, and almost all data points are within +/- 2 percent of actual (as determined by the HyperLynx field solver). 7
8 Relative Propagation Time Fraction Predicted Fraction Equation Data Observations --> Figure 7 The fraction determined from Equation 4 (dotted red line) very closely fits the actual data (black line). Actual data is 96 data points derived from HyperLynx. The traditional estimate, based on Equation 1 (blue) isn t even close! Model validation: One way to validate the results of a model like this is to compare the calculated results from the model against the actual input data. This graph is shown in Figure 7. As is obvious from the graph, the results determined from this procedure are far better than the results one would obtain from simply applying the traditional formula, Equation 1. For example, consider the following propagation time estimates for a 2.0 in. long microstrip trace with FR4 with ε r = 4.3: (times in ps): H(mil) W(mil) Prop.Time (Hy) Prop.Time (Est) Prop.Time (Eq. 1) where Hy refers to an estimate from HyperLynx, Est refers to an estimate from the model, and Eq.1 refers to an estimate based on the historical approach. 8
9 Summary Electrical signals radiate electromagnetic waves. The propagation speed for an electrical signal depends on how fast these electromagnetic waves can travel through the medium surrounding the wire or trace the signal is traveling along. Propagation speeds for stripline traces depend solely on the relative dielectric constant of the dielectric material surrounding the trace (assuming homogeneous material.) But propagation speeds for microstrip traces are more complicated. That is because the electromagnetic field is divided between the dielectric below and the air above. The relationship between the trace height above the reference plane (H), the trace width (W), and the relative dielectric coefficient of the material between the trace and the plane (ε r ) all interact to effect how the field divides between the dielectric and the air. The propagation time for a signal traveling along a microstrip trace can be best expressed as a fraction of what the propagation time would be for the same trace in a stripline environment surrounded with material with the same relative dielectric constant. Footnotes: 1. See Propagation Times and Critical Length; How They Interrelate; available at 2. There are numerous places where this equation can be found. See for example, IPC-D-317A, Design Guidelines for Electronic Packaging Utilizing High-Speed Techniques p.18. The reference given for this formula is H.R Kaupp, Characteristics of Microstrip Transmission Lines, IEEE Trans., Vol EC-16, No 2 April Eric Bogatin, GigaTest Labs, triggered my thinking about this when he showed slide 20 in his presentation Characterization by Measurement: The Value of High Bandwidth Measurements at the PCB East 2002 Conference, October 16, His presentation is reportedly available for download at 4. R 2 is a measure of goodness of fit. It is loosely related to the concept of correlation. An R 2 of 1.0 would imply a perfect fit of the equation to the data. Here, an R 2 of.96 should be considered as quite good. About the author: Douglas Brooks has a B.S and an M.S in Electrical Engineering from Stanford University and a PhD from the University of Washington. During his career has held positions in engineering, marketing, and general management with such companies as Hughes Aircraft, Texas Instruments and ELDEC. Brooks has owned his own manufacturing company and he formed UltraCAD Design Inc. in UltraCAD is a printed circuit board design service bureau in Bellevue, WA, that specializes in large, complex, high density, high speed designs, primarily in the video and data processing industries. Brooks has written numerous articles through the years, including articles and a column for Printed Circuit Design magazine, and has been a frequent seminar leader at PCB Design Conferences. His primary objective in his speaking and writing has been to make complex issues easily understandable to those without a technical background. You can visit his web page at and him at doug@ultracad.com. 9
10 Appendix Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 96 ANOVA df SS MS F Significance F Regression E-65 Residual Total Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept E Height E Er E Ln(W) E Regression output for the evaluation 10
POWER DISTRIBUTION SYSTEM Calculating PDS Impedance Douglas Brooks Ultracad Design, Inc
POWER DISTRIBUTION SYSTEM Calculating PDS Impedance Douglas Brooks Ultracad Design, Inc On a PCB (Printed Circuit Board) the Power Distribution System (PDS) is the system that distributes power from the
More informationAN B. Basic PCB traces transmission line effects causing signal integrity degradation simulation using Altium DXP version 6.
AN200805-01B Basic PCB traces transmission line effects causing signal integrity degradation simulation using Altium DXP version 6.9 By Denis Lachapelle eng. and Anne Marie Coutu. May 2008 The objective
More informationDielectric and Conductor Roughness Models Identification for Successful PCB and Packaging Interconnect Design up to 50 GHz
Dielectric and Conductor Roughness Models Identification for Successful PCB and Packaging Interconnect Design up to 50 GHz Yuriy Shlepnev Simberian Inc. Abstract: Meaningful interconnect design and compliance
More informationDifferential Impedance finally made simple
Slide - Differential Impedance finally made simple Eric Bogatin President Bogatin Enterprises 93-393-305 eric@bogent.com Slide -2 Overview What s impedance Differential Impedance: a simple perspective
More informationThe Growth of Functions. A Practical Introduction with as Little Theory as possible
The Growth of Functions A Practical Introduction with as Little Theory as possible Complexity of Algorithms (1) Before we talk about the growth of functions and the concept of order, let s discuss why
More informationSherlock Tutorial Plated Through Hole (PTH) Fatigue Analysis
Sherlock Tutorial Plated Through Hole (PTH) Fatigue Analysis Background Plated Through Holes (PTHs), also known as plated through vias (PTVs), are holes drilled through multilayer printed circuit boards
More informationAccounting for High Frequency Transmission Line Loss Effects in HFSS. Andrew Byers Tektronix
Accounting for High Frequency Transmission Line Loss Effects in HFSS Andrew Byers Tektronix Transmission Line Refresher γ = α + j β = (R + jωl) * (G + jωc) Zo = Zr + j Zi = (R + jωl) / (G + jωc) Transmission
More informationGravitational Effects on Light Propagation. Copyright 2009 Joseph A. Rybczyk
Gravitational Effects on Light Propagation Copyright 2009 Joseph A. Rybczyk Abstract An examination of the theoretical relationship between gravity and light propagation is presented that focuses on the
More informationBroadband material model identification with GMS-parameters
Broadband material model identification with GMS-parameters Yuriy Olegovich Shlepnev Simberian Inc. shlepnev@simberian.com 2015 EPEPS Conference, October 27, 2015 2015 Simberian Inc. Outline Introduction
More informationModification of Signal Propagation Velocity Through Printed Circuit Boards Using High Dielectric Constant Materials
Modification of Signal Propagation Velocity Through Printed Circuit Boards Using High Dielectric Constant Materials RICHARD JIANG, BROWN UNIVERSITY DOUGLAS JACKSON, UNIVERSITY OF LOUISVILLE JOHN NABER,
More informationTaguchi Method and Robust Design: Tutorial and Guideline
Taguchi Method and Robust Design: Tutorial and Guideline CONTENT 1. Introduction 2. Microsoft Excel: graphing 3. Microsoft Excel: Regression 4. Microsoft Excel: Variance analysis 5. Robust Design: An Example
More informationMEASUREMENT OF THE CHARGE TO MASS RATIO (e/m e ) OF AN ELECTRON
MEASUREMENT OF THE CHARGE TO MASS RATIO (e/m e ) OF AN ELECTRON Object This experiment will allow you to observe and understand the motion of a charged particle in a magnetic field and to measure the ratio
More informationMEASUREMENT OF THE CHARGE TO MASS RATIO (e/m e ) OF AN ELECTRON
MEASUREMENT OF THE CHARGE TO MASS RATIO (e/m e ) OF AN ELECTRON Object This experiment will allow you to observe and understand the motion of a charged particle in a magnetic field and to measure the ratio
More informationStudy Resources For Algebra I. Unit 2A Graphs of Quadratic Functions
Study Resources For Algebra I Unit 2A Graphs of Quadratic Functions This unit examines the graphical behavior of quadratic functions. Information compiled and written by Ellen Mangels, Cockeysville Middle
More informationFive Myths about the PDN
Slide -1 A copy of the slides is available on www.bethesignal.com: search VL-180 or PPT-180 Five Myths about the PDN Eric Bogatin, eric@bethesignal.com Signal Integrity Evangelist Bogatin Enterprises www.bethesignal.com
More informationIntroduction to Special Relativity
1 Introduction to Special Relativity PHYS 1301 F99 Prof. T.E. Coan version: 20 Oct 98 Introduction This lab introduces you to special relativity and, hopefully, gives you some intuitive understanding of
More informationSpacetime Diagrams Lab Exercise
Spacetime Diagrams Lab Exercise The spacetime diagram (also known as a Minkowski diagram) is a tool that can used to graphically describe complex problems in special relativity. In many cases, with a properly
More informationValidation Using IPC Design Rules and. Limitations to IPC-2221
Validation Using IPC Design Rules and Limitations to IPC-2221 In this chapter, the procedure developed earlier is applied to a simple three-dimensional model of a board and a trace, and the results are
More informationPhysics 4. Magnetic Induction. Prepared by Vince Zaccone For Campus Learning Assistance Services at UCSB
Physics 4 Magnetic Induction Before we can talk about induction we need to understand magnetic flux. You can think of flux as the number of field lines passing through an area. Here is the formula: flux
More informationRETROGRADE MOTION AND PLANETARY ORBITS Computer Simulations
RETROGRADE MOTION AND PLANETARY ORBITS Computer Simulations OBJECTIVE: To see planetary orbits simulated on a computer and to see how this suncentered model explains retrograde motion. Initial Procedure:
More informationUncertainty, Error, and Precision in Quantitative Measurements an Introduction 4.4 cm Experimental error
Uncertainty, Error, and Precision in Quantitative Measurements an Introduction Much of the work in any chemistry laboratory involves the measurement of numerical quantities. A quantitative measurement
More informationCh. 3 Equations and Inequalities
Ch. 3 Equations and Inequalities 3.1 Solving Linear Equations Graphically There are 2 methods presented in this section for solving linear equations graphically. Normally I would not cover solving linear
More informationEM Waves in Media. What happens when an EM wave travels through our model material?
EM Waves in Media We can model a material as made of atoms which have a charged electron bound to a nucleus by a spring. We model the nuclei as being fixed to a grid (because they are heavy, they don t
More informationPure Math 30: Explained!
Pure Math 30: Eplained! www.puremath30.com 9 Logarithms Lesson PART I: Eponential Functions Eponential functions: These are functions where the variable is an eponent. The first type of eponential graph
More informationECE 497 JS Lecture -03 Transmission Lines
ECE 497 JS Lecture -03 Transmission Lines Spring 2004 Jose E. Schutt-Aine Electrical & Computer Engineering University of Illinois jose@emlab.uiuc.edu 1 MAXWELL S EQUATIONS B E = t Faraday s Law of Induction
More informationSmith Chart Tuning, Part I
Smith Chart Tuning, Part I Donald Lee Advantest Test Cell Innovations, SOC Business Unit January 30, 2013 Abstract Simple rules of Smith Chart tuning will be presented, followed by examples. The goal is
More informationSI Surging Ideas TVS Diode Application Note PROTECTION PRODUCTS. Layout Guidelines for adding ESD Protection in HDMI Receiver Applications
Layout Guidelines for adding ESD Protection in HDMI Receiver Applications The High Definition Multimedia Interface (HDMI) video signals are transmitted on very high speed differential pairs. These lines
More information/633 Introduction to Algorithms Lecturer: Michael Dinitz Topic: NP-Completeness I Date: 11/13/18
601.433/633 Introduction to Algorithms Lecturer: Michael Dinitz Topic: NP-Completeness I Date: 11/13/18 20.1 Introduction Definition 20.1.1 We say that an algorithm runs in polynomial time if its running
More informationESE 570: Digital Integrated Circuits and VLSI Fundamentals
ESE 570: Digital Integrated Circuits and VLSI Fundamentals Lec 24: April 19, 2018 Crosstalk and Wiring, Transmission Lines Lecture Outline! Crosstalk! Repeaters in Wiring! Transmission Lines " Where transmission
More informationConservation of Momentum
Learning Goals Conservation of Momentum After you finish this lab, you will be able to: 1. Use Logger Pro to analyze video and calculate position, velocity, and acceleration. 2. Use the equations for 2-dimensional
More informationLab 1 Uniform Motion - Graphing and Analyzing Motion
Lab 1 Uniform Motion - Graphing and Analyzing Motion Objectives: < To observe the distance-time relation for motion at constant velocity. < To make a straight line fit to the distance-time data. < To interpret
More informationS-PARAMETER QUALITY METRICS AND ANALYSIS TO MEASUREMENT CORRELATION
S-PARAMETER QUALITY METRICS AND ANALYSIS TO MEASUREMENT CORRELATION VNA Measurement S-Parameter Quality Metrics 2 S-Parameter Quality Metrics Quality is important Reciprocity Forward and reverse transmission
More information161 Sp18 T1 grades (out of 40, max 100)
Grades for test Graded out of 40 (scores over 00% not possible) o Three perfect scores based on this grading scale!!! o Avg = 57 o Stdev = 3 Scores below 40% are in trouble. Scores 40-60% are on the bubble
More information! Crosstalk. ! Repeaters in Wiring. ! Transmission Lines. " Where transmission lines arise? " Lossless Transmission Line.
ESE 570: Digital Integrated Circuits and VLSI Fundamentals Lec 24: April 19, 2018 Crosstalk and Wiring, Transmission Lines Lecture Outline! Crosstalk! Repeaters in Wiring! Transmission Lines " Where transmission
More informationUnit 2 - Linear Motion and Graphical Analysis
Unit 2 - Linear Motion and Graphical Analysis Motion in one dimension is particularly easy to deal with because all the information about it can be encapsulated in two variables: x, the position of the
More informationReview of Multiple Regression
Ronald H. Heck 1 Let s begin with a little review of multiple regression this week. Linear models [e.g., correlation, t-tests, analysis of variance (ANOVA), multiple regression, path analysis, multivariate
More informationUsing Microsoft Excel
Using Microsoft Excel Objective: Students will gain familiarity with using Excel to record data, display data properly, use built-in formulae to do calculations, and plot and fit data with linear functions.
More informationLAB 5 INSTRUCTIONS LINEAR REGRESSION AND CORRELATION
LAB 5 INSTRUCTIONS LINEAR REGRESSION AND CORRELATION In this lab you will learn how to use Excel to display the relationship between two quantitative variables, measure the strength and direction of the
More informationSession-Based Queueing Systems
Session-Based Queueing Systems Modelling, Simulation, and Approximation Jeroen Horters Supervisor VU: Sandjai Bhulai Executive Summary Companies often offer services that require multiple steps on the
More informationExperiment 4. RC Circuits. Observe and qualitatively describe the charging and discharging (decay) of the voltage on a capacitor.
Experiment 4 RC Circuits 4.1 Objectives Observe and qualitatively describe the charging and discharging (decay) of the voltage on a capacitor. Graphically determine the time constant τ for the decay. 4.2
More informationGravity: How fast do objects fall? Teacher Advanced Version (Grade Level: 8 12)
Gravity: How fast do objects fall? Teacher Advanced Version (Grade Level: 8 12) *** Experiment with Audacity and Excel to be sure you know how to do what s needed for the lab*** Kinematics is the study
More informationThis module focuses on the logic of ANOVA with special attention given to variance components and the relationship between ANOVA and regression.
WISE ANOVA and Regression Lab Introduction to the WISE Correlation/Regression and ANOVA Applet This module focuses on the logic of ANOVA with special attention given to variance components and the relationship
More informationLab 3 Acceleration. What You Need To Know: Physics 211 Lab
b Lab 3 Acceleration Physics 211 Lab What You Need To Know: The Physics In the previous lab you learned that the velocity of an object can be determined by finding the slope of the object s position vs.
More information2 Electric Field Mapping Rev1/05
2 Electric Field Mapping Rev1/05 Theory: An electric field is a vector field that is produced by an electric charge. The source of the field may be a single charge or many charges. To visualize an electric
More informationInferences for Regression
Inferences for Regression An Example: Body Fat and Waist Size Looking at the relationship between % body fat and waist size (in inches). Here is a scatterplot of our data set: Remembering Regression In
More informationQ1: What is the interpretation of the number 4.1? A: There were 4.1 million visits to ER by people 85 and older, Q2: What percent of people 65-74
Lecture 4 This week lab:exam 1! Review lectures, practice labs 1 to 4 and homework 1 to 5!!!!! Need help? See me during my office hrs, or goto open lab or GS 211. Bring your picture ID and simple calculator.(note
More informationObjectives. Materials
Activity 8 Exploring Infinite Series Objectives Identify a geometric series Determine convergence and sum of geometric series Identify a series that satisfies the alternating series test Use a graphing
More informationUnit 1 Science Models & Graphing
Name: Date: 9/18 Period: Unit 1 Science Models & Graphing Essential Questions: What do scientists mean when they talk about models? How can we get equations from graphs? Objectives Explain why models are
More informationA Simplified Process for Determining Cushion Curves:
A Simplified Process for Determining Cushion Curves: The Stress-Energy Method A new shortcut method for developing cushion curves is presented. Using the stress-energy method developed by Michigan State
More informationDk & Df ALGEBRAIC MODEL v2.04 (NOTE: only change from v2.03 is correction of Cu conductivity used in surface roughness [Hurray model] calculation)
Joel Goergen Beth (Donnay) Kochuparambil Cisco Systems Inc. 5 January, 03 Dk & Df AGEBRAIC MODE v.04 (NOTE: only change from v.03 is correction of Cu conductivity used in surface roughness [Hurray model]
More informationTrace Currents and Temperatures Revisited
Trace Currents and Temperatures Revisited Douglas G Brooks, PhD UltraCAD Design, Inc. with Dr. Johannes Adam ADAM Research April 2015 (Edit 7/20/15, note 15) Copyright Douglas Brooks, Kirkland, WA. 2015
More informationPDN Planning and Capacitor Selection, Part 1
by Barry Olney column BEYOND DESIGN PDN Planning and Capacitor Selection, Part 1 In my first column on power distribution network (PDN) planning, Beyond Design: Power Distribution Network Planning, I described
More informationAdvanced Optical Communications Prof. R. K. Shevgaonkar Department of Electrical Engineering Indian Institute of Technology, Bombay
Advanced Optical Communications Prof. R. K. Shevgaonkar Department of Electrical Engineering Indian Institute of Technology, Bombay Lecture No. # 15 Laser - I In the last lecture, we discussed various
More informationLAB 3: WORK AND ENERGY
1 Name Date Lab Day/Time Partner(s) Lab TA (CORRECTED /4/05) OBJECTIVES LAB 3: WORK AND ENERGY To understand the concept of work in physics as an extension of the intuitive understanding of effort. To
More information1 A Review of Correlation and Regression
1 A Review of Correlation and Regression SW, Chapter 12 Suppose we select n = 10 persons from the population of college seniors who plan to take the MCAT exam. Each takes the test, is coached, and then
More informationHestenes lectures, Part 5. Summer 1997 at ASU to 50 teachers in their 3 rd Modeling Workshop
Hestenes lectures, Part 5. Summer 1997 at ASU to 50 teachers in their 3 rd Modeling Workshop WHAT DO WE TEACH? The question What do we teach? has to do with What do we want to learn? A common instructional
More informationInterpreting coefficients for transformed variables
Interpreting coefficients for transformed variables! Recall that when both independent and dependent variables are untransformed, an estimated coefficient represents the change in the dependent variable
More informationLearning Goals The particle model for a complex object: use the center of mass! located at the center of mass
PS 12A Lab 3: Forces Names: Learning Goals After you finish this lab, you will be able to: 1. Use Logger Pro to analyze video and calculate position, velocity, and acceleration. 2. Measure the normal force
More informationLAB 2 - ONE DIMENSIONAL MOTION
Name Date Partners L02-1 LAB 2 - ONE DIMENSIONAL MOTION OBJECTIVES Slow and steady wins the race. Aesop s fable: The Hare and the Tortoise To learn how to use a motion detector and gain more familiarity
More informationIntroduction to Algebra: The First Week
Introduction to Algebra: The First Week Background: According to the thermostat on the wall, the temperature in the classroom right now is 72 degrees Fahrenheit. I want to write to my friend in Europe,
More informationABE Math Review Package
P a g e ABE Math Review Package This material is intended as a review of skills you once learned and wish to review before your assessment. Before studying Algebra, you should be familiar with all of the
More informationIntroduction to Uncertainty and Treatment of Data
Introduction to Uncertainty and Treatment of Data Introduction The purpose of this experiment is to familiarize the student with some of the instruments used in making measurements in the physics laboratory,
More information3.3 Acceleration An example of acceleration Definition of acceleration Acceleration Figure 3.16: Steeper hills
3.3 Acceleration Constant speed is easy to understand. However, almost nothing moves with constant speed for long. When the driver steps on the gas pedal, the speed of the car increases. When the driver
More informationter. on Can we get a still better result? Yes, by making the rectangles still smaller. As we make the rectangles smaller and smaller, the
Area and Tangent Problem Calculus is motivated by two main problems. The first is the area problem. It is a well known result that the area of a rectangle with length l and width w is given by A = wl.
More informationUnit 8 - Polynomial and Rational Functions Classwork
Unit 8 - Polynomial and Rational Functions Classwork This unit begins with a study of polynomial functions. Polynomials are in the form: f ( x) = a n x n + a n 1 x n 1 + a n 2 x n 2 +... + a 2 x 2 + a
More informationThe Coffee-Turkey Juxtaposition
The Materials TI-Nspire CX CAS handheld Vernier EasyTemp Sensor Hot water source Coffee cups Freshly cooked turkey Introduction to the Investigation Have you ever noticed that when a hot liquid is placed
More informationLab 4, part one: Electric and magnetic fields
Astronomy 102 Name: Lab 4, part one: Electric and magnetic fields Learning outcome: Ultimately, to understand how a changing electric field induces a magnetic field, and how a changing magnetic field induces
More informationReflections on S-parameter Quality DesignCon IBIS Summit, Santa Clara, February 3, 2011
Reflections on S-parameter Quality DesignCon IBIS Summit, Santa Clara, February 3, 2011 Yuriy Shlepnev shlepnev@simberian.com Copyright 2011 by Simberian Inc. Reuse by written permission only. All rights
More informationLinear Motion with Constant Acceleration
Linear Motion 1 Linear Motion with Constant Acceleration Overview: First you will attempt to walk backward with a constant acceleration, monitoring your motion with the ultrasonic motion detector. Then
More informationPhysics 220: Worksheet 7
(1 A resistor R 1 =10 is connected in series with a resistor R 2 =100. A current I=0.1 A is present through the circuit. What is the power radiated in each resistor and also in the total circuit? (2 A
More information112 Gbps In and Out of Package Challenges Design insights from electromagnetic analysis. Yuriy Shlepnev, Simberian Inc.
112 Gbps In and Out of Package Challenges Design insights from electromagnetic analysis Yuriy Shlepnev, Simberian Inc. shlepnev@simberian.com Package and PCB scales in symbol time for 112 Gbps PAM4 Package:
More informationIn other words, we are interested in what is happening to the y values as we get really large x values and as we get really small x values.
Polynomial functions: End behavior Solutions NAME: In this lab, we are looking at the end behavior of polynomial graphs, i.e. what is happening to the y values at the (left and right) ends of the graph.
More informationAgenda for Today. Elements of Physics II. Capacitors Parallel-plate. Charging of capacitors
Capacitors Parallel-plate Physics 132: Lecture e 7 Elements of Physics II Charging of capacitors Agenda for Today Combinations of capacitors Energy stored in a capacitor Dielectrics in capacitors Physics
More information= v = 2πr. = mv2 r. = v2 r. F g. a c. F c. Text: Chapter 12 Chapter 13. Chapter 13. Think and Explain: Think and Solve:
NAME: Chapters 12, 13 & 14: Universal Gravitation Text: Chapter 12 Chapter 13 Think and Explain: Think and Explain: Think and Solve: Think and Solve: Chapter 13 Think and Explain: Think and Solve: Vocabulary:
More informationPHY 111L Activity 2 Introduction to Kinematics
PHY 111L Activity 2 Introduction to Kinematics Name: Section: ID #: Date: Lab Partners: TA initials: Objectives 1. Introduce the relationship between position, velocity, and acceleration 2. Investigate
More information4.4 Graphs of Logarithmic Functions
590 Chapter 4 Exponential and Logarithmic Functions 4.4 Graphs of Logarithmic Functions In this section, you will: Learning Objectives 4.4.1 Identify the domain of a logarithmic function. 4.4.2 Graph logarithmic
More informationappstats27.notebook April 06, 2017
Chapter 27 Objective Students will conduct inference on regression and analyze data to write a conclusion. Inferences for Regression An Example: Body Fat and Waist Size pg 634 Our chapter example revolves
More informationMy data doesn t look like that..
Testing assumptions My data doesn t look like that.. We have made a big deal about testing model assumptions each week. Bill Pine Testing assumptions Testing assumptions We have made a big deal about testing
More informationEnergy Transformations IDS 101
Energy Transformations IDS 101 It is difficult to design experiments that reveal what something is. As a result, scientists often define things in terms of what something does, what something did, or what
More informationWISE Regression/Correlation Interactive Lab. Introduction to the WISE Correlation/Regression Applet
WISE Regression/Correlation Interactive Lab Introduction to the WISE Correlation/Regression Applet This tutorial focuses on the logic of regression analysis with special attention given to variance components.
More informationInfinite Limits. Infinite Limits. Infinite Limits. Previously, we discussed the limits of rational functions with the indeterminate form 0/0.
Infinite Limits Return to Table of Contents Infinite Limits Infinite Limits Previously, we discussed the limits of rational functions with the indeterminate form 0/0. Now we will consider rational functions
More informationTransmission Line Basics
Transmission Line Basics Prof. Tzong-Lin Wu NTUEE 1 Outlines Transmission Lines in Planar structure. Key Parameters for Transmission Lines. Transmission Line Equations. Analysis Approach for Z and T d
More informationC. Finding roots of trinomials: 1st Example: x 2 5x = 14 x 2 5x 14 = 0 (x 7)(x + 2) = 0 Answer: x = 7 or x = -2
AP Calculus Students: Welcome to AP Calculus. Class begins in approimately - months. In this packet, you will find numerous topics that were covered in your Algebra and Pre-Calculus courses. These are
More informationAPPENDIX 1 BASIC STATISTICS. Summarizing Data
1 APPENDIX 1 Figure A1.1: Normal Distribution BASIC STATISTICS The problem that we face in financial analysis today is not having too little information but too much. Making sense of large and often contradictory
More informationChapter 6 Overview: Applications of Derivatives
Chapter 6 Overview: Applications of Derivatives There are two main contets for derivatives: graphing and motion. In this chapter, we will consider the graphical applications of the derivative. Much of
More informationRegression, part II. I. What does it all mean? A) Notice that so far all we ve done is math.
Regression, part II I. What does it all mean? A) Notice that so far all we ve done is math. 1) One can calculate the Least Squares Regression Line for anything, regardless of any assumptions. 2) But, if
More informationAir Resistance. Experiment OBJECTIVES MATERIALS
Air Resistance Experiment 13 When you solve physics problems involving free fall, often you are told to ignore air resistance and to assume the acceleration is constant and unending. In the real world,
More informationTactics Box 23.1 Using Kirchhoff's Loop Law
PH203 Chapter 23 solutions Tactics Box 231 Using Kirchhoff's Loop Law Description: Knight/Jones/Field Tactics Box 231 Using Kirchhoff s loop law is illustrated Learning Goal: To practice Tactics Box 231
More informationBivariate Data Summary
Bivariate Data Summary Bivariate data data that examines the relationship between two variables What individuals to the data describe? What are the variables and how are they measured Are the variables
More informationECE 220 Laboratory 4 Volt Meter, Comparators, and Timer
ECE 220 Laboratory 4 Volt Meter, Comparators, and Timer Michael W. Marcellin Please follow all rules, procedures and report requirements as described at the beginning of the document entitled ECE 220 Laboratory
More informationRelative Permittivity Variation Surrounding PCB Via Hole Structures
Relative Permittivity Variation Surrounding PCB Via Hole Structures SPI2008 Avignon France May 12-15, 2008 Lambert Simonovich lambert@nortel.com 1 SPI2008 Relative Permittivity Variation Surrounding PCB
More informationHow to Avoid Butchering S-parameters
How to Avoid Butchering S-parameters Course Number: TP-T3 Yuriy Shlepnev, Simberian Inc. shlepnev@simberian.com +1-(702)-876-2882 1 Introduction Outline Quality of S-parameter models Rational macro-models
More informationEquipotential Lines and Electric Fields
Physics Equipotential Lines and Electric Fields Plotting the Electric Field MATERIALS AND RESOURCES EACH GROUP 5 alligator clip leads 2 batteries, 9 V 2 binder clips, large computer LabQuest multimeter,
More information1 Measurement Uncertainties
1 Measurement Uncertainties (Adapted stolen, really from work by Amin Jaziri) 1.1 Introduction No measurement can be perfectly certain. No measuring device is infinitely sensitive or infinitely precise.
More informationElectric Fields and Equipotentials
OBJECTIVE Electric Fields and Equipotentials To study and describe the two-dimensional electric field. To map the location of the equipotential surfaces around charged electrodes. To study the relationship
More informationSix Sigma Black Belt Study Guides
Six Sigma Black Belt Study Guides 1 www.pmtutor.org Powered by POeT Solvers Limited. Analyze Correlation and Regression Analysis 2 www.pmtutor.org Powered by POeT Solvers Limited. Variables and relationships
More informationChapter 10. Regression. Understandable Statistics Ninth Edition By Brase and Brase Prepared by Yixun Shi Bloomsburg University of Pennsylvania
Chapter 10 Regression Understandable Statistics Ninth Edition By Brase and Brase Prepared by Yixun Shi Bloomsburg University of Pennsylvania Scatter Diagrams A graph in which pairs of points, (x, y), are
More informationA Method to Extract Dielectric Parameters from Transmission Lines with Conductor Surface Roughness at Microwave Frequencies
Progress In Electromagnetics Research M, Vol. 48, 1 8, 2016 A Method to Extract Dielectric Parameters from Transmission Lines with Conductor Surface Roughness at Microwave Frequencies Binke Huang * and
More informationRational Numbers. Integers. Irrational Numbers
EOC Review: Pre-Algebra Unit Rational Numbers Integers Irrational Numbers Ex: Matrices: Ex 1: Ex 2: Ex 3: Unit 1 Equations Equations To solve an equation, use your calculator. STEPS: 1. Menu 2. Algebra
More informationChapter 11: WinTDR Algorithms
Chapter 11: WinTDR Algorithms This chapter discusses the algorithms WinTDR uses to analyze waveforms including: Bulk Dielectric Constant; Soil Water Content; Electrical Conductivity; Calibrations for probe
More information