Stoflo_10.08

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Objectives Overall Process Flow Sequence of Steps the User Should Follow The objectives of this application are the following: 1. Perform rainflow cycle counting on time series data 2. Provide the range and mean of each rainflow cycle to aid in fatigue life calculation (Shee 3. Place each rainflow cycle into a bin based on its range and mean to aid in block cycle tes creation (RangeMean) Disclaimer: We have done our best to ensure the accuracy of all of our calculations, but we a you to double check our calculations before endangering life and limb. We cannot be held resp 1. Peaks and valleys are detected in data. All other points are eliminated to increase speed future calculations. 2. Data without peaks and valleys is plotted alongside original for user to view 3. Peak and valley data is copied to Sheet4 4. Rainflow cycle counting begins 5. If two data points are found to be a rainflow cycle, their range and mean are pasted on Sh 6. The two points of interest are then deleted from Sheet4 and the process continues 7. When rainflow cycle counting has completed (100%), the program goes and stays on Sheet5 8. If the user chooses, the rainflow cycles are binned into 12 columns and 28 rows (sheet Ran 1. Format the time series data so that is fits in two columns as on "Input" sheet 2. Paste the time series data onto "Input" sheet. The plot updates to show your time series d 3. Click the button titled "Clear Data on All Other Sheets." All data from previous calculati cleared. 4. Click the button titled "PV slice, rearrange data, PV slice again." Points not necessary f rainflow counting are deleted. 5. Click the button titled "Next to Rainflow Cycle Counting." The sheet changes to "Sheet4 ra 6. Click the button titled "Click to Begin Counting Rainflow Cycles." Rainflow cycle counting % progress shown. 7. If it is desired to bin the rainflow cycles in order to better visualize the rainflow cycl Click to Get Started Click to Get Started

Transcript of Stoflo_10.08

Page 1: Stoflo_10.08

Objectives

Overall Process Flow

Sequence of Steps the User Should Follow

The objectives of this application are the following:1. Perform rainflow cycle counting on time series data2. Provide the range and mean of each rainflow cycle to aid in fatigue life calculation (Sheet5)3. Place each rainflow cycle into a bin based on its range and mean to aid in block cycle test creation (RangeMean)Disclaimer: We have done our best to ensure the accuracy of all of our calculations, but we advise you to double check our calculations before endangering life and limb. We cannot be held responsible for any consequences you may encounter.

1. Peaks and valleys are detected in data. All other points are eliminated to increase speed of future calculations.2. Data without peaks and valleys is plotted alongside original for user to view3. Peak and valley data is copied to Sheet44. Rainflow cycle counting begins5. If two data points are found to be a rainflow cycle, their range and mean are pasted on Sheet56. The two points of interest are then deleted from Sheet4 and the process continues7. When rainflow cycle counting has completed (100%), the program goes and stays on Sheet58. If the user chooses, the rainflow cycles are binned into 12 columns and 28 rows (sheet RangeMean)

1. Format the time series data so that is fits in two columns as on "Input" sheet2. Paste the time series data onto "Input" sheet. The plot updates to show your time series data.3. Click the button titled "Clear Data on All Other Sheets." All data from previous calculations is cleared.4. Click the button titled "PV slice, rearrange data, PV slice again." Points not necessary for rainflow counting are deleted.5. Click the button titled "Next to Rainflow Cycle Counting." The sheet changes to "Sheet4 rainflow."6. Click the button titled "Click to Begin Counting Rainflow Cycles." Rainflow cycle counting begins. % progress shown.7. If it is desired to bin the rainflow cycles in order to better visualize the rainflow cycles or to develop a block cycle test, click the button titled "Next, to sort data into bins"8. To go back to the original data or the rainflow cycles sorted into two columns, use the tabs at the bottom of the spreadsheet.

Click to Get Started

Click to Get Started

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Time (s) Stress (MPa) or Strain Data This sheet filters to keep only peaks and valleys1 900 ← Please input data in white cells to left

11 411.0121 90032 499.5641 75751 393.9961 829.9971 46481 731.9991 330

101 800.01111 452.01121 689.01131 328.99141 712.01151 420.99161 690.02171 378.01181 870.01191 462.01201 782.01211 116231 -222.97241 53.99251 -222.97261 130271 -236.97281 -32.97291 -253.96301 550.99311 274321 549331 251341 657.99351 192.01361 639.99371 322.99381 578.01391 281.01401 530411 294.01421 574.99431 239.99441 478451 234.01461 518.99471 295.99481 644.99

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Clear Data on All Sheets

2. --> Next to Rainflow Cycle Counting1. PV slice, rearrange data, PV slice again

Clear Data on Left Insert Original Data on Left Again

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981 606.99991 406.01

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13721 624.9813731 373.0113741 652.0113751 40913761 634.0113771 322.0113781 624.0113791 368.0113801 658.9913811 392.0113821 74813831 355.0113841 675.0113851 36213861 666.9913871 447.0113881 755.0113891 34913901 68313911 314.9913921 69313931 33013941 606.9913951 225.9913961 74413971 443.0113981 754.0113991 503.0114001 708.9914011 42714021 703.0114031 27414041 51614051 257.9914061 587.9914071 141.0114081 457.0114091 220.9914101 42814111 -163.9814121 77.9914131 -250.9714141 526.0114151 313.0114161 72514171 313.9914181 582.0114191 211.9914201 732.99

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14211 318.0114221 629.0114231 356.9914241 75214251 457.9914261 791.0114271 49214281 717.0114291 402.9914301 727.0114311 369.0114321 602.9914331 276.9914341 63614351 35814361 56214371 229.0114381 769.9914391 53514401 839.9914411 54414421 792.0114431 318.0114441 522.0114451 -317.9814461 109.9914471 -232.9714481 28814491 -99.9514501 26514511 -119.9614521 703.0114531 1414541 592.0114551 16214561 53014571 229.0114581 577.0114591 216.9914601 61314611 164.0114621 592.9914631 318.9914641 63214651 397.9914661 62314671 249.9914681 788.9914691 256

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14701 475.0114711 -386.9814721 23214731 -346.9614741 132.9914751 -140.9814761 14014771 -128.9614781 54414791 303.0114801 643.9914811 35814821 642.0114831 364.9914841 67314851 336.0114861 889.0114871 364.9914881 66914891 447.0114901 81314911 50614921 816.9914931 536.9914941 77614951 523.9914961 749.0114971 541.9914981 867.9914991 545.0115001 871.0115011 415.0115021 690.0215031 471.0115041 788.9915051 486.9915061 70615071 452.0115081 66915091 192.0115101 512.0115111 -226.9715121 9315131 -188.9615141 518.0115151 29315161 593.9915171 8915181 576

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15191 36215201 788.9915211 19115221 448.9915231 151.0215241 47815251 238.0115261 500.9915271 104.0115281 78615291 299.0115301 83215311 610.0115321 829.0115331 53015341 73415351 -317.9815361 727.9915371 8315381 44115391 -6.9515401 51115411 4615421 894.9915431 40515441 876.9915451 60915461 875.9915471 629.9915481 88815491 527.0115501 796.9915511 -238.9815521 16315531 -101.9715541 63215551 11.0115561 810.9915571 39015581 85515591 271.0115601 578.0115611 323.9915621 675.0115631 220.9915641 63215651 36215661 732.9915671 420.01

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15681 802.9915691 -494.9615701 141.0115711 -295.9615721 99.9915731 -139.9715741 509.9915751 25115761 661.0115771 365.9915781 694.9915791 160.9915801 453.0115811 234.9915821 458.9915831 117.0115841 690.9915851 42815861 764.0115871 -246.9715881 216.9915891 -300.9615901 14915911 -206.9615921 156.9915931 -73.9715941 221.9915951 -65.9815961 280.0115971 -203.9715981 560.9915991 197.0116001 560.9916011 15316021 49216031 27016041 606.9916051 239.9916061 644.9916071 202.0116081 57116091 21316101 694.9916111 -447.9816121 103.0116131 -311.9716141 128.9916151 -137.9616161 508.01

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This sheet filters to keep only peaks and valleys← Please input data in white cells to left

0 2 4 6 8 10 12

0

2

4

6

8

10

12

Time Series Data

Time (s)

Va

lue

After: Rows 32001-64000

0 2 4 6 8 10 12

0

2

4

6

8

10

12

Time Series Data

Time (s)Before: Rows 32001-64000

2. --> Next to Rainflow Cycle Counting

Insert Original Data on Left Again

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1 90011 411.0121 90032 499.5641 75751 393.9961 829.9971 46481 731.9991 330

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981 606.99991 406.01

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1471 280.011481 681.991491 2921501 503.011511 2181521 704.991531 197.011541 485.991551 220.991561 457.991571 202.011581 6081591 -324.971601 -19.981611 -241.971621 508.011631 253.991641 4781651 192.011661 630.991671 407.991681 7161691 350.011701 5671711 257.991721 592.011731 3671741 657.991751 407.991761 6231771 263.991781 587.011791 3711801 588.991811 285.011821 6321831 368.011841 5991851 318.011861 588.991871 308.981881 512.011891 2601901 5711911 346.011921 7251931 261.011941 486.991951 192.01

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1961 592.991971 2931981 5391991 188.992001 554.012011 02021 513.012031 2922041 5622051 267.012061 5852071 313.992081 523.992091 299.012101 513.012111 299.012121 569.012131 271.992141 5352151 2982161 522.992171 290.992181 680.012191 443.992201 6832211 396.012221 6782231 374.012241 7012251 276.012261 606.992271 331.012281 541.992291 3392301 5722311 2742321 499.992331 285.012341 564.992351 2742361 490.992371 2372381 495.992391 -75.982401 141.992411 -275.982421 71.012431 -308.952441 19

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2451 -248.962461 137.012471 -92.972481 657.992491 275.012501 5342511 239.992521 611.992531 360.012541 690.022551 314.992561 689.012571 3062581 698.012591 416.992601 666.012611 392.012621 699.012631 374.012641 7012651 368.012661 658.992671 345.012681 6502691 402.992701 610.012711 392.992721 6372731 4002741 6182751 285.012761 629.992771 3852781 615.992791 374.012801 703.012811 -173.982821 136.012831 -330.982841 3342851 982861 509.992871 151.022881 541.992891 842901 642.012911 397.992921 6512931 -196.98

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2941 44.012951 -196.982961 1252971 -120.972981 2282991 -16.963001 630.993011 387.013021 657.013031 407.993041 6233051 2183061 5533071 290.993081 639.993091 407.993101 6933111 453.013121 657.013131 355.993141 642.013151 4003161 698.013171 3303181 5713191 336.993201 689.013211 3953221 647.013231 3773241 593.993251 2273261 630.993271 299.013281 681.993291 411.013301 662.993311 4043321 629.013331 3063341 630.993351 3063361 6143371 4093381 648.013391 4143401 6833411 374.013421 574.99

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3431 323.993441 690.993451 378.993461 5853471 368.013481 620.993491 3713501 610.013511 373.013521 582.013531 -7.963541 239.993551 -226.973561 248.013571 -204.973581 285.013591 -88.973601 4703611 248.013621 4603631 136.013641 518.993651 317.013661 517.013671 277.993681 503.013691 178.993701 615.013711 323.993721 559.013731 2193741 6793751 420.993761 6833771 -253.963781 843791 -221.963801 243.013811 -18.973821 494.993831 2703841 629.013851 290.993861 559.993871 350.993881 657.013891 243.013901 6083911 373.01

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3921 662.993931 2693941 652.993951 155.993961 662.993971 443.013981 690.023991 248.994001 611.994011 229.014021 601.994031 3394041 737.994051 230.994061 498.014071 2374081 6144091 -166.974101 39.014111 -260.974121 4374131 192.014141 503.014151 103.014161 681.994171 201.014181 588.994191 225.994201 480.014211 1354221 560.994231 346.994241 5484251 1494261 494.014271 2604281 661.014291 1584301 466.984311 -183.964321 160.994331 -104.964341 555.014351 248.014361 448.994371 132.014381 712.014391 276.014401 529

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4411 300.994421 523.994431 308.984441 564.014451 1954461 466.984471 34.994481 378.014491 -293.984501 188.014511 -307.984521 244.994531 -210.984541 606.994551 40.994561 526.014571 2054581 5064591 2184601 513.014611 248.994621 602.994631 261.014641 712.014651 5064661 727.014671 193.994681 4004691 -243.954701 173.014711 -275.984721 610.014731 4054741 615.014751 360.014761 642.014771 402.994781 6414791 3534801 555.994811 340.014821 6554831 433.014841 6694851 421.994861 662.014871 457.014881 796.014891 402.99

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4901 671.014911 77.994921 5494931 285.014941 615.994951 3764961 690.024971 184981 731.014991 108.015001 578.015011 281.995021 629.015031 169.995041 7485051 1815061 578.015071 341.995081 6045091 261.015101 5855111 3305121 694.015131 3495141 6145151 313.015161 5215171 290.015181 532.995191 266.015201 564.995211 290.995221 644.995231 -227.975241 1.015251 -285.965261 156.995271 -86.965281 7255291 183.015301 713.995311 392.995321 620.995331 193.995341 425.995351 151.995361 560.995371 234.995381 550.99

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5391 2135401 690.995411 136.015421 486.995431 164.015441 5495451 243.995461 597.995471 1625481 5075491 248.995501 7165511 3395521 732.995531 193.995541 565.995551 -190.975561 119.995571 -178.955581 108.015591 -118.965601 1815611 -73.975621 722.015631 421.995641 638.995651 303.015661 671.015671 369.015681 7155691 350.015701 605.015711 1535721 764.995731 4095741 7625751 355.015761 712.015771 397.995781 717.995791 3625801 6795811 448.015821 717.995831 4465841 698.015851 341.995861 605.015871 188.01

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5881 498.015891 276.015901 536.995911 2835921 522.015931 221.995941 545.985951 345.015961 569.995971 1915981 499.995991 280.016001 657.996011 2696021 685.016031 341.016041 550.996051 3446061 6186071 303.016081 611.996091 285.016101 666.016111 2286121 5346131 303.016141 545.986151 -109.966161 109.996171 -361.976181 886191 -198.966201 173.016211 -129.976221 611.996231 332.996241 680.016251 341.016261 602.996271 2836281 619.016291 30.016301 406.016311 206.016321 4706331 2606341 717.016351 2186361 486.99

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8331 364.998341 694.998351 406.018361 802.998371 4378381 7398391 448.998401 6798411 452.018421 694.998431 453.998441 703.018451 2608461 601.998471 -329.978481 34.018491 -349.988501 188.018511 -179.968521 308.988531 -6.958541 648.018551 416.998561 647.018571 439.018581 6838591 438.018601 699.018611 4518621 712.018631 382.018641 698.018651 295.998661 624.988671 3858681 680.018691 4058701 717.998711 457.018721 6738731 3728741 7448751 4148761 6188771 81.998781 597.018791 1918801 569.998811 211.01

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10291 12610301 559.9910311 164.9910321 726.0110331 407.9910341 671.0110351 39910361 662.0110371 32510381 596.0110391 331.0110401 583.0110411 378.0110421 74410431 308.9810441 634.9910451 416.9910461 676.9910471 373.0110481 65010491 368.0110501 67310511 -188.9610521 24210531 -16.9610541 610.0110551 197.0110561 54810571 18110581 522.9910591 295.9910601 582.0110611 113.0110621 559.9910631 137.0110641 73910651 365.9910661 72510671 36210681 717.0110691 341.0110701 606.9910711 317.0110721 60410731 350.9910741 56710751 141.0110761 652.9910771 452.01

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10781 708.9910791 15810801 40410811 -279.9810821 253.0110831 -182.9810841 198.9910851 -27.9710861 425.0110871 16710881 620.0110891 40010901 66910911 38110921 70610931 401.0110941 652.0110951 382.0110961 72510971 364.9910981 811.9910991 39511001 694.9911011 415.9911021 75811031 46911041 671.0111051 374.0111061 763.0111071 513.9911081 75711091 26511101 518.9911111 26.9911121 63711131 211.9911141 565.9911151 275.0111161 526.0111171 32511181 592.9911191 141.0111201 51111211 13511221 69311231 411.9911241 657.0111251 281.0111261 532.99

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11761 63211771 341.9911781 63711791 276.0111801 55711811 299.0111821 583.0111831 19011841 50611851 234.9911861 569.9911871 299.0111881 55711891 33411901 582.0111911 25511921 54411931 239.9911941 63611951 27011961 619.0111971 22811981 583.0111991 37112001 592.9912011 373.0112021 588.9912031 37712041 625.9912051 425.9912061 648.0112071 249.9912081 647.0112091 29312101 717.0112111 416.9912121 70112131 32012141 708.9912151 38512161 70112171 42712181 681.9912191 285.9912201 601.0112211 174.9912221 559.0112231 285.0112241 532.99

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12251 309.9912261 53512271 318.9912281 555.0112291 32612301 564.0112311 -180.9712321 137.9912331 -218.9712341 25112351 6.9812361 443.0112371 10212381 490.0112391 262.9912401 53412411 44.9912421 69312431 397.9912441 67812451 328.9912461 671.0112471 433.0112481 695.9912491 28312501 554.0112511 188.9912521 489.0112531 -366.9712541 206.9912551 -275.9812561 -33.9812571 -262.9612581 14912591 -85.9512601 47412611 72.9912621 36312631 -418.9712641 -16.9612651 -239.9612661 -17.9712671 -218.9712681 18112691 -469.9712701 -18.9712711 -292.9712721 276.9912731 -258.96

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Input

Page 64

12741 29212751 -144.9812761 276.0112771 -0.9812781 22712791 1.0112801 565.9912811 117.0112821 51612831 14812841 415.0112851 -405.9812861 -18.9712871 -300.9612881 20512891 -329.9712901 63212911 230.9912921 433.0112931 178.0112941 582.0112951 331.0112961 834.9912971 490.0112981 74812991 355.0113001 69313011 475.0113021 722.0113031 44113041 741.9913051 43713061 73013071 419.0113081 722.0113091 415.9913101 769.0213111 44213121 774.9913131 500.9913141 70113151 448.9913161 685.0113171 430.9913181 63213191 425.0113201 64613211 415.0113221 683

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Input

Page 65

13231 341.0113241 769.0213251 485.0113261 737.9913271 420.9913281 76213291 485.0113301 695.9913311 374.0113321 591.0113331 355.9913341 638.9913351 355.9913361 675.0113371 425.9913381 704.9913391 448.9913401 68813411 47913421 769.9913431 25113441 48413451 44.9913461 281.9913471 -250.9713481 25513491 -319.9713501 438.0113511 221.9913521 638.9913531 25113541 647.0113551 430.9913561 70713571 46913581 788.9913591 40013601 66913611 33413621 545.9813631 341.9913641 704.9913651 374.0113661 684.0113671 42713681 698.0113691 368.0113701 644.9913711 358

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Input

Page 66

13721 624.9813731 373.0113741 652.0113751 40913761 634.0113771 322.0113781 624.0113791 368.0113801 658.9913811 392.0113821 74813831 355.0113841 675.0113851 36213861 666.9913871 447.0113881 755.0113891 34913901 68313911 314.9913921 69313931 33013941 606.9913951 225.9913961 74413971 443.0113981 754.0113991 503.0114001 708.9914011 42714021 703.0114031 27414041 51614051 257.9914061 587.9914071 141.0114081 457.0114091 220.9914101 42814111 -163.9814121 77.9914131 -250.9714141 526.0114151 313.0114161 72514171 313.9914181 582.0114191 211.9914201 732.99

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Input

Page 67

14211 318.0114221 629.0114231 356.9914241 75214251 457.9914261 791.0114271 49214281 717.0114291 402.9914301 727.0114311 369.0114321 602.9914331 276.9914341 63614351 35814361 56214371 229.0114381 769.9914391 53514401 839.9914411 54414421 792.0114431 318.0114441 522.0114451 -317.9814461 109.9914471 -232.9714481 28814491 -99.9514501 26514511 -119.9614521 703.0114531 1414541 592.0114551 16214561 53014571 229.0114581 577.0114591 216.9914601 61314611 164.0114621 592.9914631 318.9914641 63214651 397.9914661 62314671 249.9914681 788.9914691 256

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Input

Page 68

14701 475.0114711 -386.9814721 23214731 -346.9614741 132.9914751 -140.9814761 14014771 -128.9614781 54414791 303.0114801 643.9914811 35814821 642.0114831 364.9914841 67314851 336.0114861 889.0114871 364.9914881 66914891 447.0114901 81314911 50614921 816.9914931 536.9914941 77614951 523.9914961 749.0114971 541.9914981 867.9914991 545.0115001 871.0115011 415.0115021 690.0215031 471.0115041 788.9915051 486.9915061 70615071 452.0115081 66915091 192.0115101 512.0115111 -226.9715121 9315131 -188.9615141 518.0115151 29315161 593.9915171 8915181 576

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Input

Page 69

15191 36215201 788.9915211 19115221 448.9915231 151.0215241 47815251 238.0115261 500.9915271 104.0115281 78615291 299.0115301 83215311 610.0115321 829.0115331 53015341 73415351 -317.9815361 727.9915371 8315381 44115391 -6.9515401 51115411 4615421 894.9915431 40515441 876.9915451 60915461 875.9915471 629.9915481 88815491 527.0115501 796.9915511 -238.9815521 16315531 -101.9715541 63215551 11.0115561 810.9915571 39015581 85515591 271.0115601 578.0115611 323.9915621 675.0115631 220.9915641 63215651 36215661 732.9915671 420.01

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Input

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15681 802.9915691 -494.9615701 141.0115711 -295.9615721 99.9915731 -139.9715741 509.9915751 25115761 661.0115771 365.9915781 694.9915791 160.9915801 453.0115811 234.9915821 458.9915831 117.0115841 690.9915851 42815861 764.0115871 -246.9715881 216.9915891 -300.9615901 14915911 -206.9615921 156.9915931 -73.9715941 221.9915951 -65.9815961 280.0115971 -203.9715981 560.9915991 197.0116001 560.9916011 15316021 49216031 27016041 606.9916051 239.9916061 644.9916071 202.0116081 57116091 21316101 694.9916111 -447.9816121 103.0116131 -311.9716141 128.9916151 -137.9616161 508.01

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Input

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16171 304.0116181 602.9916191 67.0116201 625.9916211 341.9916221 601.0116231 285.9916241 57616251 220.9916261 721.0116271 314.9916281 63616291 304.0116301 66916311 336.9916321 605.0116331 36716341 56716351 280.0116361 513.9916371 -285.9616381 94.0116391 -132.9616401 355.0116411 35.9916421 457.9916431 146.0116441 50616451 294.0116461 577.0116471 -10.9816481 221.9916491 -340.9816501 94.0116511 -226.9716521 49.9916531 -155.9616541 328.9916551 1916561 58516571 164.9916581 397.9916591 17616601 82216611 560.9916621 801.0116631 55316641 77616651 -257.95

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Input

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16661 192.0116671 -124.9716681 46416691 211.0116701 73016711 151.9916721 834.0116731 351.9916741 642.0116751 285.0116761 587.0116771 -221.9616781 23316791 -135.9816801 25116811 1816821 527.9916831 3316841 448.9916851 234.0116861 625.9916871 225.9916881 480.0116891 34.9916901 593.9916911 188.9916921 518.0116931 4716941 588.9916951 62.9916961 448.9916971 20516981 644.9916991 -228.9817001 336.0117011 86.9917021 797.9917031 52917041 75317051 5117061 411.9917071 188.0117081 90017091 490.0117101 262.9917111 53417121 44.9917131 69317141 397.99

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Input

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17151 67817161 328.9917171 671.0117181 433.0117191 695.9917201 28317211 554.0117221 188.9917231 489.0117241 -366.9717251 -198.84066717261 -343.46323817271 -488.0858117281 -632.70838117291 -777.33095217301 -921.95352417311 -90017321 -900

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PV Slice

Page 74

Time (s) Stress (MPa) or Strain Data TRUE=PEAK or VALLEY1

0 #DIV/0! #DIV/0!0 #DIV/0! #DIV/0!

Page 76: Stoflo_10.08

Stress (MPa) or Strain Data

Max filter: 930 Cells above this value will be removed.Min filter: -930 Cells below this value will be removed.

Current Max: 0Current Min: 0

If desired, enter "filter" values for minimum and/or maximum. This would prevent count data below a certain threshold and ignore spikes (if needed).

Click to Begin Counting Rainflow Cycles

If Desired, Click to Filter Data Using Max and Min

Page 77: Stoflo_10.08

take difference of 2 pointsif difference is less than next 2 points, cut and paste the 2 pointsif difference is not less than next 2 points, leave the 2 points and go to the next difference

Cells above this value will be removed. do until cell a4 is empty (only 2 points remaining)Cells below this value will be removed.

If Desired, Click to Filter Data Using Max and Min

Page 78: Stoflo_10.08

if difference is not less than next 2 points, leave the 2 points and go to the next difference

Page 79: Stoflo_10.08

range meanmax 0 0min 0 0 What would you like to do next?diff 0 0

diff/12 0diff/28 0

Sort data into bins to develop block cycle test.

If this is Stress data, click here to go on and estimate the fatigue life of your component.

Page 80: Stoflo_10.08

What would you like to do next?

Sort data into bins to develop block cycle test.

If this is Stress data, click here to go on and estimate the fatigue life of your component.

Page 81: Stoflo_10.08

Range a low 0 0 0 0 0 0

mid 0 0 0 0 0 0

low mid high 0 0 0 0 0 0

0 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0

Mean

ClicktoBegin

GoBack

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0 0 0 0 0 0

0 0 0 0 0 0

0 0 0 0 0 00 0 0 0 0 00 0 0 0 0 00 0 0 0 0 00 0 0 0 0 00 0 0 0 0 00 0 0 0 0 00 0 0 0 0 00 0 0 0 0 00 0 0 0 0 00 0 0 0 0 00 0 0 0 0 00 0 0 0 0 00 0 0 0 0 00 0 0 0 0 00 0 0 0 0 00 0 0 0 0 00 0 0 0 0 00 0 0 0 0 00 0 0 0 0 00 0 0 0 0 00 0 0 0 0 00 0 0 0 0 00 0 0 0 0 00 0 0 0 0 00 0 0 0 0 00 0 0 0 0 00 0 0 0 0 00 0 0 0 0 0

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0000000000000000000000000000

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Material: RQC-100 Steel Palmgren-Miner's Rule used with all six life estimation techniques

931 Mpa 1181 Strain-life

b or B = -0.07 1330 Morrow ε-N SWT

E = 200000 Mpa 1181

K' = 1434 Mpa -0.07 repeats repeats repeats

n' = 0.14 Max nominal stress: 0

1240 Mpa Min nominal stress: 0

c = -0.69

0.66 Blue = mat'l properties required only for strain-life eqns.

1 Green = mat'l props. req'd only for stress-life eqns.

From sheet "RF Cycles" LAST LAST

ΔS (Mpa) Δ Max Δε Δσ

aEnter known values a

Su = A = (σf')(2b) =

σf = No Sm Correct

AKt or AKf =

BKt or BKf =

σf' =Yellow = material properties required for both strain-life & stress-life equations

εf' =

Kt or Kf =(Notch factor)

LH side of Neuber/Ramberg-Osgood eqn (for local stress)

Formulas for Goal Seek

Smean Smax (Kt*ΔS)2/E (Kt*Smax)2/E εa σa

Click to Begin Click to View Graphs

Page 85: Stoflo_10.08

Palmgren-Miner's Rule used with all six life estimation techniques Neuber eqn.: Morrow strain-life eqn.:

Mod. Goodman Morrow S-N:

Ramberg-Osgood eqn.: Smith-Watson-Topper (SWT) eqn.:

repeats repeats repeats

SWT 0 LH side Formula Morrow 0

formula Dmg. Mean formula Damage Formula

NEI = Not Enough Infor- mation

Stress-life, SNf=A(Nf)B (KtΔS)2/E=ΔεΔσ εa=((σf'-σmean)/E)(2Nf)b+εf'(2Nf)c

Solve for NfNo Sm Correct

ε=σ/E+(σ/K')(1/n') σmaxεaE=(σf')2(2N)2b+σf'εf'E(2N)(b+c)

Solve for Nf

Strain Life

σmax Nf (Kt*Smean)2/E σmean Nf

CLEAR DATAClick to View Graphs

Page 86: Stoflo_10.08

Morrow strain-life eqn.: Modified Goodman eqn.:

Smith-Watson-Topper (SWT) eqn.: Morrow stress-life eqn.:

Stress Life

0 0 0 0

Damage Dmg. Dmg.

'-σmean)/E)(2Nf)b+εf'(2Nf)c

Solve for Nf

(Sa/SNf)+(Sm/Su)=1Solve for SNf

E=(σf')2(2N)2b+σf'εf'E(2N)(b+c)

Solve for Nf

(Sa/SNf)+(Sm/σf)=1Solve for SNf

Goodman:

Morrow:

No Sm correction

Nf Nf Nf (1/Nf) Smin Nf σmax

Page 87: Stoflo_10.08

110

0

1000

0

1000

000

1000

0000

0

1000

0000

000

1000

0000

0000

0

1000

0000

0000

000

1E+0

16

1E+0

18

1E+0

20

0.01

0.1

Strain Life

Morrow

No Mean Stress Correction

SWT

Cycles

Str

ain

1E-01 1E+06 1E+13 1E+201

10

Stress Life

Goodman

No Mean Stress Correction

Morrow

Cycles

Str

es

s

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110

0

1000

0

1000

000

1000

0000

0

1000

0000

000

1000

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0000

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0000

000

1E+0

16

1E+0

18

1E+0

20

0.01

0.1

Strain Life

Morrow

No Mean Stress Correction

SWT

Cycles

Str

ain

1E-01 1E+06 1E+13 1E+201

10

Stress Life

Goodman

No Mean Stress Correction

Morrow

Cycles

Str

es

s

GoBack

Page 89: Stoflo_10.08

About

Page 88

Release 10.08Updated version available at: http://www.stotera.com/stoflo