Mechanical Fatigue and Load-Induced Aging of Loudspeaker Suspension. Wolfgang Klippel,

Similar documents
STATE-SPACE MODELLING. A mass balance across the tank gives:

Sub Module 2.6. Measurement of transient temperature

Polymer Engineering (MM3POE)

Navneet Saini, Mayank Goyal, Vishal Bansal (2013); Term Project AML310; Indian Institute of Technology Delhi

Some Basic Information about M-S-D Systems

INDEX. Transient analysis 1 Initial Conditions 1

Module 4: Time Response of discrete time systems Lecture Note 2

CHAPTER 2 Signals And Spectra

Modal identification of structures from roving input data by means of maximum likelihood estimation of the state space model

Reading from Young & Freedman: For this topic, read sections 25.4 & 25.5, the introduction to chapter 26 and sections 26.1 to 26.2 & 26.4.

EECE251. Circuit Analysis I. Set 4: Capacitors, Inductors, and First-Order Linear Circuits

( ) = Q 0. ( ) R = R dq. ( t) = I t

EE100 Lab 3 Experiment Guide: RC Circuits

Keywords: thermal stress; thermal fatigue; inverse analysis; heat conduction; regularization

Basic Circuit Elements Professor J R Lucas November 2001

Wall. x(t) f(t) x(t = 0) = x 0, t=0. which describes the motion of the mass in absence of any external forcing.

where the coordinate X (t) describes the system motion. X has its origin at the system static equilibrium position (SEP).

Voltage/current relationship Stored Energy. RL / RC circuits Steady State / Transient response Natural / Step response

2.9 Modeling: Electric Circuits

LAPLACE TRANSFORM AND TRANSFER FUNCTION

Structural Dynamics and Earthquake Engineering

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n

Phys1112: DC and RC circuits

8. Basic RL and RC Circuits

Summary of shear rate kinematics (part 1)

CHAPTER 6: FIRST-ORDER CIRCUITS

Zhihan Xu, Matt Proctor, Ilia Voloh

Shiva Akhtarian MSc Student, Department of Computer Engineering and Information Technology, Payame Noor University, Iran

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3

LabQuest 24. Capacitors

Introduction D P. r = constant discount rate, g = Gordon Model (1962): constant dividend growth rate.

Methodology. -ratios are biased and that the appropriate critical values have to be increased by an amount. that depends on the sample size.

On a Discrete-In-Time Order Level Inventory Model for Items with Random Deterioration

Lecture -14: Chopper fed DC Drives

Advanced Organic Chemistry

Simulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010

θ with respect to time is

Nature Neuroscience: doi: /nn Supplementary Figure 1. Spike-count autocorrelations in time.

RC, RL and RLC circuits

KINEMATICS IN ONE DIMENSION

Combined Bending with Induced or Applied Torsion of FRP I-Section Beams

A First Course on Kinetics and Reaction Engineering. Class 19 on Unit 18

22. Inbreeding. related measures: = coefficient of kinship, a measure of relatedness of individuals of a population; panmictic index, P = 1 F;

Computation of the Effect of Space Harmonics on Starting Process of Induction Motors Using TSFEM

Theory of! Partial Differential Equations!

( ) ( ) if t = t. It must satisfy the identity. So, bulkiness of the unit impulse (hyper)function is equal to 1. The defining characteristic is

R.#W.#Erickson# Department#of#Electrical,#Computer,#and#Energy#Engineering# University#of#Colorado,#Boulder#

ON THE BEAT PHENOMENON IN COUPLED SYSTEMS

AN603 APPLICATION NOTE

i L = VT L (16.34) 918a i D v OUT i L v C V - S 1 FIGURE A switched power supply circuit with diode and a switch.

Micrologic Control units 2.0 and 5.0 Low Voltage Products

Electrical and current self-induction

Failure of the work-hamiltonian connection for free energy calculations. Abstract

On Measuring Pro-Poor Growth. 1. On Various Ways of Measuring Pro-Poor Growth: A Short Review of the Literature

Chapter 4 AC Network Analysis

Math 333 Problem Set #2 Solution 14 February 2003

5.2. The Natural Logarithm. Solution

V AK (t) I T (t) I TRM. V AK( full area) (t) t t 1 Axial turn-on. Switching losses for Phase Control and Bi- Directionally Controlled Thyristors

Cumulative Damage Evaluation based on Energy Balance Equation

Turbulent Flows. Computational Modelling of Turbulent Flows. Overview. Turbulent Eddies and Scales

2) Of the following questions, which ones are thermodynamic, rather than kinetic concepts?

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon

EEEB113 CIRCUIT ANALYSIS I

Chapter 7 Response of First-order RL and RC Circuits

Theory of! Partial Differential Equations-I!

OBJECTIVES OF TIME SERIES ANALYSIS

Designing Information Devices and Systems I Spring 2019 Lecture Notes Note 17

CHEMICAL KINETICS: 1. Rate Order Rate law Rate constant Half-life Temperature Dependence

L07. KALMAN FILTERING FOR NON-LINEAR SYSTEMS. NA568 Mobile Robotics: Methods & Algorithms

Chapter 15: Phenomena. Chapter 15 Chemical Kinetics. Reaction Rates. Reaction Rates R P. Reaction Rates. Rate Laws

EECS 141: FALL 00 MIDTERM 2

Vehicle Arrival Models : Headway

Real Analog Chapter 6: Energy Storage Elements

Presentation Overview

STUDY ON A METHOD TO IDENTIFY EXTERNAL FORCES AND DAMPING PARAMETERS OF STRUCTURE FROM RANDOM RESPONSE VALUES

10ème Congrès Français d'acoustique Lyon, Avril 2010

The Simulation of Electret Effect in Zn 0.7 Cd 0.3 S Layers

CHANGE IN THE RESISTANCE OF THE SEMICONDUCTOR IN THE VARIABLE DEFORMATION FIELD

EE650R: Reliability Physics of Nanoelectronic Devices Lecture 9:

Speaker Adaptation Techniques For Continuous Speech Using Medium and Small Adaptation Data Sets. Constantinos Boulis

IB Physics Kinematics Worksheet

L1, L2, N1 N2. + Vout. C out. Figure 2.1.1: Flyback converter

Development of a new metrological model for measuring of the water surface evaporation Tovmach L. Tovmach Yr. Abstract Introduction

Introduction to AC Power, RMS RMS. ECE 2210 AC Power p1. Use RMS in power calculations. AC Power P =? DC Power P =. V I = R =. I 2 R. V p.

5 The fitting methods used in the normalization of DSD

Lab 10: RC, RL, and RLC Circuits

Reliability of Technical Systems

Continuous Time. Time-Domain System Analysis. Impulse Response. Impulse Response. Impulse Response. Impulse Response. ( t) + b 0.

Determination of the Sampling Period Required for a Fast Dynamic Response of DC-Motors

EG Modeling of Direct Contact Wet Cooling Tower in ETRR-2

The Simple Linear Regression Model: Reporting the Results and Choosing the Functional Form

Program: RFEM 5, RSTAB 8, RF-DYNAM Pro, DYNAM Pro. Category: Isotropic Linear Elasticity, Dynamics, Member

04. Kinetics of a second order reaction

Currents Physical Components (CPC) in systems with semi-periodic voltages and currents

dv 7. Voltage-current relationship can be obtained by integrating both sides of i = C :

The electromagnetic interference in case of onboard navy ships computers - a new approach

Particle Swarm Optimization

Lecture 3: Exponential Smoothing

IMPACT OF AN OBLIQUE BREAKING WAVE ON A WALL

Analytic nonlinear elasto-viscosity of two types of BN and PI rubbers at large deformations

Transcription:

Mechanical Faigue and Load-Induced Aging of Loudspeaker Suspension Wolfgang Klippel, Insiue of Acousics and Speech Communicaion Dresden Universiy of Technology presened a he ALMA Symposium 2012, Las Vegas Klippel: Mechanical Faigue and Aging of Loudspeaker Suspension, 2012, 1

Absrac The mechanical suspension becomes more and more complian over ime changing he loudspeaker properies e.g. resonance frequency significanly. This aging process is reproducible and he decay of he siffness can be modeled by accumulaing he apparen power supplied o he suspension par and using an exponenial relaionship. The free parameers of his model are esimaed from empirical daa provided by on-line monioring or inermien measuremens during regular power ess or oher kinds of long-erm esing. The idenified model can be used o predic he load-induced aging for music or es signals having arbirary specral properies. New characerisics are being inroduced which simplify he qualiy assessmen of suspension pars and separae mechanical faigue from he iniial break-in effec. Pracical experimens are performed o verify he model and o demonsrae he diagnosic value for selecing opimal suspension pars providing sufficien long-erm sabiliy. Klippel: Mechanical Faigue and Aging of Loudspeaker Suspension, 2012, 2

Quesions addressed in he paper Why is he suspension he weakes loudspeaker par? How o measure he long-erm sabiliy of sof pars? How o consider he influence of he mechanical load on he aging? How o separae he early break-in process from faigue? How o predic he final loss of siffness? How o design and selec good suspension pars? Klippel: Mechanical Faigue and Aging of Loudspeaker Suspension, 2012, 3

Road Map Inroducion problem, hisory Modeling of load-induced aging Measuremen echniques Pracical applicaion diagnosics Conclusion Klippel: Mechanical Faigue and Aging of Loudspeaker Suspension, 2012, 4

Variaion of Suspension Siffness K versus Measuremen Time Performing a power es wih pink noise of consan ampliude break-in Siffness raio afer 1 h and 100 h power esing faigue R 100h K 100h K 1h Disadvanages of : measuremen resuls depends on he properies of he simulus assumes consan exciaion during power es can no be ransferred o oher simuli neglecs he slope of he siffness variaion accumulaed load Idea: Replacing ime by a quaniy describing he dosage of he mechanical load Klippel: Mechanical Faigue and Aging of Loudspeaker Suspension, 2012, 5

Convenional Measuremen of Faigue S-N Curves Wöhler show he sinusoidal sress S and number of cycles N causing a failure Sress 1 1000 100000 number of cycles N before break Couresy by Coldwork.com canno be direcly applied o loudspeaker suspensions because we are ineresed in he siffness variaion before a faal break occurs Klippel: Mechanical Faigue and Aging of Loudspeaker Suspension, 2012, 6

Loudspeaker Suspension The load-induced variaion of he siffness depends on he poenial energy emporarily sored in he suspension considering he nonlinear force-deflecion characerisic, energy dissipaed ino hea by losses in he maerial, frequency cycles of an alernaing simulus, accumulaed power ransferred o he suspension par during life ime of he suspension, oher unknown facors Klippel: Mechanical Faigue and Aging of Loudspeaker Suspension, 2012, 7

How o define he Mechanical Load? 90 degree phase shif Apparen mechanical power P Fk v velociy v resoring force F k reacive power Apparen mechanical work performed on he suspension over life ime m W m P d Pm. 0 Klippel: Mechanical Faigue and Aging of Loudspeaker Suspension, 2012, 8

Consan Load Model loss of siffness Measuremen Condiion: same simulus of consan ampliude during he power es Siffness of loudspeaker suspension versus accumulaed work W Kˆ W K W 0 K W K W N i1 C i 1 e W / w N=2 sufficien for mos cases i Klippel: Mechanical Faigue and Aging of Loudspeaker Suspension, 2012, 9

1 s Characerisic: Relaive Aging Raio Definiion: a W K W 0 K W 100 N C i i1 % describes he progress of he ageing process in percen approaches 100 % for infinie work Derived Characerisics: K W 0 K W N i1 C i final value of siffness Kˆ W Kˆ K0 N C i i1. Toal loss of siffness during life ime V a N i1 C i K W 100% 0 a W 50 % 50% a W 90 % 90% Klippel: Mechanical Faigue and Aging of Loudspeaker Suspension, 2012, 10

2 nd Characerisic: Break-in Raio Definiion: R b C1 C C 1 2 100% N 2 w 1 C 1 1 e W / w 1 C 1 C1 C 2 The simple model for N=2 is a good approximaion of mos suspension pars and separaes he breakin effec generaing he seep decay a he beginning of he aging process from he faigue causing a much slower decay a large values of accumulaed work W. w 1 describes he amoun of work required o complee 63% of he break-in phase. Klippel: Mechanical Faigue and Aging of Loudspeaker Suspension, 2012, 11

3 rd Characerisic: Toal Faigue Loss Definiion: KW=0 V f C2 K W 100% 0 N 2. C 2 describes he percenage of siffness loss due o faigue If he break-in effec is dominan R b 100 % and faigue negligible V f 0 hen we find he relaionship W 90% 3W 50%. Klippel: Mechanical Faigue and Aging of Loudspeaker Suspension, 2012, 12

Imporan Qualiy Crieria for assessing he sabiliy of suspension pars Crieria Opimal value Prioriy Minimal faigue V f =0% 1 Dominan break-in R b = 100 % W 90% 3W 50% 2 Slow faigue process w 2 >W a 3 a he momen no realisic! Toal aging raio V a =0% 4 Fas break-in process w 1 << W a 5 Nominal value for designing ransducers: K K W 0 C N 2 nom 1 Klippel: Mechanical Faigue and Aging of Loudspeaker Suspension, 2012, 13

Influence of he Power Level P on Load-Induced Aging of he Suspension Measuremen Mehodology: 1. Selecing unis of he same ype wih similar properies 2. Applying a consan bu differen mechanical power P o each uni and measuring he variaion of KW 3. Fiing he consan load model o he KW characerisic of each uni K N i1 W / w k k, i W P C 1 e, i P P cons 1,..., J A se of ageing funcions KW measured a consan mechanical power P Klippel: Mechanical Faigue and Aging of Loudspeaker Suspension, 2012, 14

Klippel: Mechanical Faigue and Aging of Loudspeaker Suspension, 2012, 15 Varying Load Model 1 1 2 1 0 ˆ W K W K W K W K W K J J P P i g J d P g W 1,..., oherwise 0 f 1 1,..., 0 0 0 using muliple saes W accumulaing he power P above he power value P using he window funcion g Obecives: To consider he dependency on insananeous power level To predic he siffness variaion for any simuli

Calculaion of Siffness K for an Arbirary Power Profile P Measuremen Resuls dividing in power levels W 0 W 1 W 2 W 3 W 4 accumulaion in he work variables 0 W 0 g P d 0 1,..., J 1 if P P g 1,..., J 0 oherwise Kˆ W K W 0 J K W K 1 W K1W 1 2 Klippel: Mechanical Faigue and Aging of Loudspeaker Suspension, 2012, 16

Measuremen Technology Par 1: Suspension Pars apparen mechanical power P dx K x x d displacemen sensor nonlinear sysem idenificaion Measuremen of spiders, surrounds and passive radiaors using a laser sensor and sysem idenificaion Klippel: Mechanical Faigue and Aging of Loudspeaker Suspension, 2012, 17

Klippel: Mechanical Faigue and Aging of Loudspeaker Suspension, 2012, 18 Measuremen Technology Par 2: Elecro-dynamical Transducer Sysem idenificaion based on volage and curren signals measured a he loudspeaker erminals apparen mechanical power emf k k u i v x Bl x x Bl x K v x x K v x F P Elecro-mechanical equivalen circui of he loudspeaker sysem

Long-Term Monioring of Loudspeaker Suspension M C model fiing m1 2 K W Kˆ W min. m m Long-erm monioring by looping a sequence of measuremens and pos-processing of he colleced daa. Klippel: Mechanical Faigue and Aging of Loudspeaker Suspension, 2012, 19

Example: Poor Spider Suffering from Long-Term Faigue V a 50% half of he iniial siffness will disappear during he life-cycle of he suspension par. R b 50 % only half of he changes occur during he relaive shor break-in process requiring only w 1 = 0.02 kwh. V f 22 % high faigue raio causes a permanen bu slow decay of he siffness W 90% = 0.42 kwh 11W 50% high value of he accumulaed work is required o approach 90 percen of he final value K =0.9 N/mm prediced Klippel: Mechanical Faigue and Aging of Loudspeaker Suspension, 2012, 20

Example: Loudspeaker A Time Work V a 30 % small aging raio R b 85 % mos of he variaions occur during he dominan break-in process W 90% 0.1 kwh small amoun of work is required o approach 90 % of he final siffness value. Levels are very similar low dependency on power level Klippel: Mechanical Faigue and Aging of Loudspeaker Suspension, 2012, 21

Influence of Ambien Condiion Ambien emperaure and humidiy have a srong influence on he siffness K of he suspension The ambien condiion should be consan during he aging es Fiing algorihm provided wih sufficien daa colleced a high sampling rae can compensae for shor variaion Klippel: Mechanical Faigue and Aging of Loudspeaker Suspension, 2012, 22

Conclusions Load-induced aging of he suspension maerial can be described by a dosage model using mechanical apparen work W as sae variable few aging parameers can be idenified from siffness K and apparen power P recorded in long-erm ess The siffness variaion K versus ime can be prediced for any simulus using he power profile P he model has been verified on a variey of suspension pars and assembled ransducers The model predics he final siffness K and he inensiy and dynamics of he aging process Shor break-in effec can be easily separaed from he long-erm faigue effec The siffness K nom found afer break-in is a useful nominal characerisic of he suspension par A low faigue loss of siffness expressed by V f reveals he long-erm sabiliy of he suspension Klippel: Mechanical Faigue and Aging of Loudspeaker Suspension, 2012, 23