A Primer on Fatigue Damage Spectrum for Accelerated and Reliability Testing

Similar documents
Accelerated Life Testing of a Commercial Refrigerator Door Handle

Reliability of Conformal Coated Surface Mount Parts

Sustaining quality of services through service reliability and availability

Airspace Complexity Measurement: An Air Traffic Control Simulation Analysis

Cross-sectional time-series analysis of airspace capacity in Europe

2017 WATS Conference FAA National Simulator Program

ADVANTAGES OF SIMULATION

Final. Hydroacoustic and Airborne Monitoring at the Naval Station. Mayport Interim Report June 2015

Simulation of disturbances and modelling of expected train passenger delays

Takeoff/Climb Analysis to Support AEDT APM Development Project 45

= Coordination with Direct Communication

HEATHROW COMMUNITY NOISE FORUM. Sunninghill flight path analysis report February 2016

Supplementary Materials Figures

HEATHROW COMMUNITY NOISE FORUM

STUDY OF EFFECTS OF VIBRATION ON GRIP STRENGTH

1. Introduction. 2.2 Surface Movement Radar Data. 2.3 Determining Spot from Radar Data. 2. Data Sources and Processing. 2.1 SMAP and ODAP Data

Pump Fillage Calculation (PFC) Algorithm for Well Control

Airspace Encounter Models for Conventional and Unconventional Aircraft

MIT ICAT. MIT ICAT M I T I n t e r n a t i o n a l C e n t e r f o r A i r T r a n s p o r t a t i o n

HOW TO IMPROVE HIGH-FREQUENCY BUS SERVICE RELIABILITY THROUGH SCHEDULING

Analysis of en-route vertical flight efficiency

AGENDA GUEMES ISLAND FERRY OPERATIONS PUBLIC FORUM

Digital twin for life predictions in civil aerospace

Wake Turbulence Research Modeling

SELECTED ASPECTS RELATED TO PREPARATION OF A FATIGUE TEST PLAN OF A METALLIC AIRFRAME

Cessna Corvalis TT x. INTRINZIC TM Flight Deck powered by Garmin

Quantitative Analysis of the Adapted Physical Education Employment Market in Higher Education

Special Conditions: CFM International, LEAP-1A and -1C Engine Models; Incorporation

Rami El Mawas CE 291

CASM electric cylinders

Best schedule to utilize the Big Long River

Evaluation of Predictability as a Performance Measure

MEASUREMENT OF ACCELERATION Pre-Lab. Name: Roster#

Potential of CO 2 retrieval from IASI

Part 150 and Part 161: Purpose, Elements, and Process

Thanksgiving Holiday Period Traffic Fatality Estimate, 2017

D DAVID PUBLISHING. Development and Achievement of the T-50 Flight Control s Consolidated OFP. 1. Introduction. 2. Consolidated OFP s Needs

CAPAN Methodology Sector Capacity Assessment

The Past, Present, and Future of Nortek and Glider Measurements

Design Exploration of Low-Speed Wind Tunnel for Improved Flow Characteristics with STAR-CCM+ and Optimate+

PRAJWAL KHADGI Department of Industrial and Systems Engineering Northern Illinois University DeKalb, Illinois, USA

Validation of Runway Capacity Models

An Analytical Approach to the BFS vs. DFS Algorithm Selection Problem 1

Study on Hotel Management Graduates Perceptions and Preferences of Jobs in Hotel Industry in Chennai City

2013 Travel Survey. for the States of Guernsey Commerce & Employment Department RESEARCH REPORT ON Q1 2013

PERFORMANCE MEASURE INFORMATION SHEET #16

EXPERIMENTAL ANALYSIS OF THE INTEGRATION OF MIXED SURVEILLANCE FREQUENCY INTO OCEANIC ATC OPERATIONS

Atennea Air. The most comprehensive ERP software for operating & financial management of your airline

The Development and Analysis of a Wind Turbine Blade

Discriminate Analysis of Synthetic Vision System Equivalent Safety Metric 4 (SVS-ESM-4)

Budapest, Hungary 2015

Technical Documentation Wind Turbine Generator Systems with LNTE 50 Hz and 60 Hz

Product Specification

ANALYSIS OF THE CONTRIUBTION OF FLIGHTPLAN ROUTE SELECTION ON ENROUTE DELAYS USING RAMS

American Airlines Next Top Model

ASSET MANAGEMENT AND AUTOMATION: ANDRITZ DIGITAL SOLUTIONS AND CASE STUDIES

Development of a Flight Manoeuvre Recognition Program Using the S-70A-9 Black Hawk Helicopter s Flight Data Recorder

1.0 OUTLINE OF NOISE ANALYSIS...3

Special edition paper Development of a Crew Schedule Data Transfer System

An Analysis of Dynamic Actions on the Big Long River

ANA Traffic Growth Incentives Programme Terms and Conditions

GAMA/Build A Plane 2017 Aviation Design Challenge

AMC and GM to Part-SPO Amendment 3

Developing an Aircraft Weight Database for AEDT

GOVERNMENT OF INDIA OFFICE OF THE DIRECTOR GENERAL OF CIVIL AVIATION TECHNICAL CENTRE, OPP SAFDURJUNG AIRPORT, NEW DELHI.

FLIGHT TRANSPORTATION LABORATORY REPORT R87-5 AN AIR TRAFFIC CONTROL SIMULATOR FOR THE EVALUATION OF FLOW MANAGEMENT STRATEGIES JAMES FRANKLIN BUTLER

Advisory Circular. 1.1 Purpose Applicability Description of Changes... 2

Unit 6: Probability Plotting

PHY 133 Lab 6 - Conservation of Momentum

CHAPTER 5 SIMULATION MODEL TO DETERMINE FREQUENCY OF A SINGLE BUS ROUTE WITH SINGLE AND MULTIPLE HEADWAYS

Schedule Compression by Fair Allocation Methods

Applications of a Terminal Area Flight Path Library

Evolution of Airline Revenue Management Dr. Peter Belobaba

Runway Roughness Evaluation- Boeing Bump Methodology

Engineering Design Assurance Test Report ( S )

1. Purpose and scope. a) the necessity to limit flight duty periods with the aim of preventing both kinds of fatigue;

Proposed suas Safety Performance Requirements for Operations over People

Today: using MATLAB to model LTI systems

New Developments in RM Forecasting and Optimization Dr. Peter Belobaba

Noise Abatement Arrival Procedures at Louisville International Airport. Prof. John-Paul Clarke Georgia Institute of Technology

AMC and GM to Part-CAT Issue 2, Amendment 3

U.S. ARMY LEAD THE FLEET USAGE ANALYSIS. David White Westar Corporation. Michael McFalls U.S. Army Aviation & Missile Command

The Impact of Utilization and Ageing on Aircraft Valuation. 10 October 2013 John Nazareth Senior Reliability Specialist Maintenance Engineering

Engineering Design Assurance Test Report ( S ) MODEL: SPS-070P V 12 Amax 60 Wmax

A Statistical Method for Eliminating False Counts Due to Debris, Using Automated Visual Inspection for Probe Marks

Congestion. Vikrant Vaze Prof. Cynthia Barnhart. Department of Civil and Environmental Engineering Massachusetts Institute of Technology

Traffic Forecasts. CHAOUKI MUSTAPHA, Economist, International Civil Aviation Organization

Commissioned by: Economic Impact of Tourism. Stevenage Results. Produced by: Destination Research

The Economic Impact of Tourism Brighton & Hove Prepared by: Tourism South East Research Unit 40 Chamberlayne Road Eastleigh Hampshire SO50 5JH

SYLLABUS INTRODUCTION TO ROTARY WING FLYING QUALITIES AND PERFORMANCE

Hiway Gateway Specification and Technical Data

EA-12 Coupled Harmonic Oscillators

Economic Impact of Tourism. Hertfordshire Results. Commissioned by: Visit Herts. Produced by:

Engineering Design Assurance Test Report ( S ) MODEL: SPS-350P V 14.7 Amax 353 Wmax TEST EQUIPMENT LIST:

Title. Author(s)ISHII, K.; KIKUCHI, M.; SHIRAI, K. Issue Date Doc URL. Type. Note. File Information HIGASHI-HONGANJI HAKODATE BETSUIN

Engineering Design Assurance Test Report ( S ) MODEL: SPS--230P V 9.6 Amax 230 Wmax TEST EQUIPMENT LIST:

Conference JERI Agressivité du trafic pour les chaussées, les atterrisseurs d avions. FABRE CYRIL, Head of Airfield Pavement November 2017

Recommendations for Northbound Aircraft Departure Concerns over South Minneapolis

PROGRESS ON THE DESIGN STUDIES OF THE 300AMeV SUPERCONDUCTING CYCLOTRON

Water Quality Trends for Conscience Bay

Transcription:

A Primer on Fatigue Damage Spectrum for Accelerated and Reliability Testing John VanBaren Vibration Research Corporation vrsales@vibrationresearch.com www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 1

Introduction Use FDS to compare End-Use Environment to Test Environments Apply damage to the same frequency ranges Create a Random PSD that is the Damage Equivalent to imported & weighted time history file(s) Combine Multiple & Complex End-Use Environments Accelerate testing using FDS and Kurtosion www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 2

Alternative Approaches Random Import Create a Test Profile from Time History Data Method 1: Peak Hold PSD Method 2: Average PSD Method 3: Field Data Replication www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 3

Random Import Summary Review Summary information of imported file Acceleration, Velocity, Displacement, Kurtosis www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 4

Random Import Averaging Method FFT of each block of data is averaged together Creates a uniform average power of the test Demand: 5.96 G rms, 26.82 G pk, K=3 www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 5

Random Import Peak Hold Method Peak Hold FFT based on peaks, not average Extracts the peaks from the blocks of data Peaks are used to create the PSD Demand: 33.35G rms, 150.1G pk,k=3 www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 6

Field Data Replication Method Exact replication of Time History Maintains ordering of Stress Cycles Cannot be accelerated www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 7

Three Key Questions Is it possible to design a test (profile and length of time) that accurately simulates the End-Use Environment of a product throughout its lifetime? Is it possible to confidently combine multiple, complex End-Use environments into a single test profile? Is it possible to reliably accelerate a test and maintain an accurate simulation of imported field data? www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 8

New Method: Fatigue Damage Spectrum Same recording duration and lowest frequency Accounts for time history, duration, and damage www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 9

Applications Create a Random Test Profile that: Is statistically representative of the EUE Is the damage equivalent to multiple imported waveforms Reduces test time by accelerating damage Compare Specs and EUE Validate the random testing being conducted Validate warranty/lifetime expectations Re-create failures in the lab www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 10

Background What is Fatigue Damage? How does the UUT experience damage? Instantaneous Stress Limit Long Term Fatigue Damage Is it statistically possible to shorten test times? Equivalent amount of Fatigue Damage Cannot exceed Instantaneous Stress Limit A specific amount of damage leads to failure www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 11

Background Fatigue Damage n i = number of cycles applied with peak stress, S i N i = number of cycles with peak stress, S i needed to cause failure D = total damage www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 12

Background Computing FDS Acceleration Waveform #1 k Q b c Kurtosion Acceleration Waveform #2 Integrator Velocity Multiply Stress Narrow BandPass Filters Rainflow Counting Algorithm Rainflow Cycles Damage Calculation Fatigue Damage Spectrum Power Spectral Density Acceleration Waveform #3 Single (or narrow range) frequency stress waveforms www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 13

Import Time History File(s) Text SDoF via Smallwood RIRDF www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 14

Plotting the FDS www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 15

Water Bucket Analogy www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 16

FDS The Solution Evaluate Test Tool Appropriateness RS table is not always the best tool to conduct test Effective at high frequencies Not good tool when damage occurs at low freq www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 17

FDS The Solution Incorporate FDS and Kurtosion Combine and weight multiple time histories to reflect service life Validate existing test methods Improve test protocols Create a random test profile that is the damage equivalent of the imported time history files, then accelerate it! www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 18

Enter m and Q Values Import Time History file(s) weight proportional to Service life Set frequency range same lowest frequency for all files Enter Target Life Accelerate the Test Add Kurtosis Create the Table Accelerated Stress Testing and Reliability Creating a Test with FDS www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 19

For Analysis or general testing m = 8 Q = 10 V-Note #0017 For advanced testing Statistical Analysis m Calculator V-Note #0018 Accelerated Stress Testing and Reliability What do you do for m and Q? www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 20

Import a Time History File Set Analysis Frequency Range Set frequency resolution, e.g. 1/24 th octave Select the Acceleration Time History File Scan the File www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 21

Combining FDS Import multiple time history files-weight by time and/or number of events, e.g. transients, potholes Select Combine FDS Add Scan, Select next waveform, Repeat www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 22

FDS Parameters www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 23

Test Compression Weight each waveform by exposure time, and/or number of discrete events Accelerate the test creating a Gaussian PSD profile that is the damage equivalent to the total target life. www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 24

Combined Fatigue Damage vs. Frequency Service Life, Spec Reqts, Warranty, compare with HALT Step Stress www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 25

Add Kurtosis Kurtosis can be added to the waveform More realistic representation of real world peaks Lowers g rms requirement of the test profile Some tests jack the RMS to achieve peaks assuming 3σ Reduced Shaker duty cycle F=ma, but Less heat generation www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 26

FDS Accommodates Kurtosis www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 27

Creating a PSD Convert the combined FDS to PSD- Create Table Creates a test of equivalent damage to all combined waveforms www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 28

Conclusions Use FDS to compare End-Use Environment to Test Environments Apply damage to the same frequency ranges Create a Random PSD that is the Damage Equivalent to imported & weighted time history file(s) Combine Multiple & Complex End-Use Environments Accelerate testing using FDS and Kurtosion www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 29

[1] A. Steinwolf, Shaker simulation of random vibration with a high kurtosis value, in Journal of the IEST, May/June 1997, pp. 33-43. [2] P. VanBaren, The missing knob on your random vibration controller, in Sound and Vibration, October 2005, pp. 10-17. References [3] G. R. Henderson and A. G. Piersol, Fatigue Damage Related Descriptor for Random Vibration Test Environments, in Sound & Vibration, October 1995, p. 21. [4] J. VanBaren and P. VanBaren, The Fatigue Damage Spectrum and Kurtosis Control, in Sound & Vibration, October 2012, p. 10. [5] MIL-STD-810 G; Method 514.6, Annex A. www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 30

Biography John Van Baren is the president of Vibration Research Corporation, Jenison Michigan, which he founded in 1995. He is a graduate of Calvin College, and the University of Michigan Engineering School. John is a registered professional engineer in the state of Michigan. His experience includes 35 years in R&D of various capacities in the vibration world. He has designed electro-dynamic shaker systems, switching power amplifiers, and PC based shaker controllers. He was a pioneer in the application of time history replication on electrodynamic shakers, introduction of Kurtosion to random vibration control, introduction of the Fatigue Damage Spectrum to random vibration control, and continues to guide the company forward as a leader in the field of vibration control. He also has an interest in General Aviation. www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 31

THANK-YOU John VanBaren Vibration Research vrsales@vibrationresearch.com www.ieee-astr.org ASTR 2016, Sep 28-30, Pensacola Beach, FL 32