Durability Load Data Analysis. Unrestricted Siemens AG 2018

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1 Durability Load Data Analysis

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5 Input source-2: Simulation Input source-1: Test Durability Load Data Analysis Tasks Roads Measure Roads/Office Validate Analysis Office Report & share Test engineer Test engineer Office Simulation Test schedule creation Simulation engineer Test engineer Page 5

6 Input source-2: Simulation Input source-1: Test Durability Load Data Analysis Tasks Roads Measure Roads/Office Validate Analysis Office Report & share Test engineer Test engineer Office Simulation Test schedule creation Simulation engineer Test engineer Page 6

7 Validate Analysis Test schedule creation Report & Share Generate and run processes up to 50% faster than traditional solutions

8 Validate Analysis Test schedule creation Report & Share Validate your acquired data

9 Validate your acquired data Challenges Channel & run comparison Compare large amount of channels in quick and efficient way Automate processes Standardize on procedures to eliminate human errors Traceability of data processing Store relevant information about the process Page 9

10 Maximize productivity with instant data visualization and test procedure check Fast, easy and intuitive validation of raw time signals including a broad set of analysis Productivity Quick channel and run comparison thanks to Pivot table and instant data visualization Advanced validation of test procedure after measurement Page 10

11 Gaining confidence and productivity with the Anomaly Library RAW load data Automatic documentation of consolidation result & steps Signal Failures Artefact Identification Spike Identification Drift & Offset Correction Rename or Calculate Channels CONSOLIDATED load data Productivity Securing best, high-grade consolidated and accurate load data Confidence Page 11

12 Demo Simcenter Testlab Step: Validate your acquired data Feature: Instant data visualization & Automatic documentation of processes Page 12

13 Validate Analysis Test schedule creation Report & Share Analyze durability potential

14 Analyze durability potential Challenges Valuable insights Qualify and quantify the durability potential of vehicle loads Create realistic targets Increase realism by creating correct targets Fatigue life prediction Compare design options by estimating fatigue life from measured stress or strain Page 14

15 How to understand fatigue content of loads? Pseudo-damage Loads (force, disp., ) Geometry Material σ, F Failure t, time Stress-concentration K t t = 1 Rainflow counting Cycles, range & mean I n i N i i=1 Damage accumulation S-N Generic curve S-N for curve CA Define loading slope-k Damage Pseudo-damage Fatigue life (= 1/Damage) Page 15

16 Getting insights with innovative load analysis Qualify and quantify the durability potential of vehicle loads with innovative load analysis technology shown as either Range Pair vs. Damage or as Pseudo Damage values Insights Page 16

17 Increase realism by creating correct targets Take market and customer into account by using rainflow superposition to create realistic targets Confidence Page 17

18 Compare different design options by using in-depth fatigue analysis Insights Compare design options for long-term quality by estimating fatigue life from measured stress or strain histories combined with material data Page 18

19 Demo Simcenter Testlab Step: Analyze durability potential Feature: Durability load analysis & Fatigue life prediction Page 19

20 Validate Analysis Test schedule creation Report & Share Accelerated test schedule creation

21 Accelerated test scenarios creation Challenges Test more at the same time Less testing during early design phases, more problems in final validation Compress time signals Design accelerated damage equivalent test schedules Create constant amplitude tests Create simplified block cycle tests for relevant test benches Block cycle test Page 21

22 How can you accelerate a test? Omit non-damaging events - Multi-axial RP-filtering Uni-axial rainflow channel-per-channel is not OK Phase relation lost! Longitudinal Vertical Lateral Different loads! Vertical Lateral Longitudinal Page 22

23 How can you accelerate a test? Omit non-damaging events Uni-axial All cycles below 4000N only contribute less than 0.5% of the total damage If you remove these from the loading, you end up with 70 cycles instead of 1000 Acceleration of x14! Page 23

24 How can you accelerate a test? Omit non-damaging events - Multi-axial RP-filtering FORCE_vert N 3 FORCE_lat N 2 FORCE_long N Attribute Name Unit C:\Programme\LMS\TW 3.3 QC\demo\general\nature.dmd,FORCE_long N C:\Programme\LMS\TW 3.3 QC\demo\general\nature_edt.dmd,FORCE_long N C:\Programme\LMS\TW 3.3 QC\demo\general\nature.dmd,FORCE_lat N C:\Programme\LMS\TW 3.3 QC\demo\general\nature_edt.dmd,FORCE_lat N C:\Programme\LMS\TW 3.3 QC\demo\general\nature.dmd,FORCE_vert N C:\Programme\LMS\TW 3.3 QC\demo\general\nature_edt.dmd,FORCE_vert N Small amplitudes/ little damage Large amplitudes/ high damage Zeit [s] 1 FORCE_vert N 3 FORCE_lat N 2 FORCE_long N Attribute Name Unit C:\Programme\LMS\TW 3.3 QC\demo\general\nature.dmd,FORCE_long C:\Programme\LMS\TW 3.3 QC\demo\general\nature_edt_edt.dmd,FORCE_long C:\Programme\LMS\TW 3.3 QC\demo\general\nature.dmd,FORCE_lat C:\Programme\LMS\TW 3.3 QC\demo\general\nature_edt_edt.dmd,FORCE_lat C:\Programme\LMS\TW 3.3 QC\demo\general\nature.dmd,FORCE_vert C:\Programme\LMS\TW 3.3 QC\demo\general\nature_edt_edt.dmd,FORCE_vert Phase relation kept! Zeit [s] 1 N N N N N N Create damage equivalent and accelerated test profiles Insights Page 24

25 How can you accelerate a test? Simplify the test Block cycle test Mix of different Constant-amplitude tests for more representative results Original time series Block cycle test Damage equivalent Rainflow matrix Normal/incidental/accidental (automatic or user-defined) Damage calculation (Standard S-N curve or user-defined) Page 25

26 Demo Simcenter Testlab Step: Accelerate durability test scenarios Feature: Omitting non-damaging events (RP-filter) Page 26

27 Validate Analysis Test schedule creation Report & Share Report and share

28 Report and share Challenges Correlate test & simulation Correlate test & simulation load data using proven data analysis Time-consuming reports Accelerate decisions during team meetings Direct access to various data types Avoid data conversion when using 3 rd party input data for processing Page 28

29 Enable Collaboration within Simulation and Test Create actionable reports to accelerate decisions Collaboration Delivering Continuity Open Software by avoiding conversion when using 3rd party input data for processing. Correlate test and simulation load data using proven data analysis Page 29

30 Actionable reports Demo Simcenter Testlab Step: Report and share Feature: Correlating test and simulation & creating actionable reports Page 30

31 Become a frontrunner in the global innovation race with Simcenter Testlab Load Data Analysis Productivity Generate and run processes up to 50% faster End-to-end durability platform for acquisition and analysis Confidence Consistency and quality with standardized procedures and reports Increase realism by creating correct targets Valuable & precise insights to optimize the durability performance of your next designs Team effectiveness by reducing learning effort for novice and expert users Insights Create damage equivalent and accelerated test profiles Collaboration Correlate test and simulation load data Page 31

32 Fiat Group Automobiles S.P.A. Using Simcenter Simulation & Test to verify and validate durability virtually Conducting complete fatigue analysis Reduced margin of error in real loads between 8 and 15 percent Reduced overdesign by performing simulation prior to building a prototype Diminished costs by developing equivalency between two proving grounds Proving grounds in Turin, Italy Virtual prediction and use experimental data for model validation Long-term partnership between Fiat and The ability of to deliver customized solutions Although we can t measure the improvement because we previously didn t use virtual data, the results that we have received by using both Simcenter products are absolutely excellent. Marco Spinelli, Head of the Chassis CAE Department Page 32

33 Ford Otosan Cut time to reproduce 1.2 million kilometers of customer usage Conducting customer correlated procedures Reproduced 1.2 million kilometers of customer usage in a condensed proving ground test period Developed 4-week accelerated rig test to represent 1.2 million kilometers of customer usage Provided opportunity to optimize cost and weight Cabin rig test to represent 1.2 million Customer correlated proving ground test kilometers Qualify and quantify the durability potential of vehicle loads with innovative analysis Replace time-consuming and costly tests by deriving compressed load time histories with an equivalent damage potential for uniaxial and multi-axial loading conditions We selected for its capabilities and experience in durability field testing, load data analysis and test schedule development for virtual simulation and durability track and rig testing. Vehicle Durability Supervisor Page 33

34 Simcenter for Vehicle Performance Engineering Vehicle Strength & Durability Page 34

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