Weibull Analysis

Weibull Analysis - 4 515000 13.15192 529000 13.17874...

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0 2 4 6 8 10 12 0 200000 400000 600000 800000 1000000 1200000 Column B Column D
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0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0 200000 400000 600000 800000 1000000 1200000 Column B Column D
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-4 -3 -2 -1 0 1 2 11.5 12 12.5 13 13.5 14 f(x) = 0.3845987091x + 13.4856397687 f(x) = 0.2287140982x + 13.4456595457 Column C Linear Regression for Column C Column E Linear Regression for Column E Column N Linear Regression for Column N
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Fatigue Fracture : 2 Spring Designs Spring B Sample Spring A - # to Fracture # of cycles to Fracture 726000 529000 615000 730000 508000 651000 808000 446000 755000 343000 849000 960000 384000 730000 667000 730000 515000 973000 483000 258000 Average 631000 635000 Rank ln(ln1/(1-Rank)) 0.5 Sample# Spring A Ln cycle Spring B Spring A Spring B Spring A Spring B 400 000 Line 1 384000 12.8584 258000 12.46071 0.067308 0.067308 -2.663843 -2.663843 12.89922 -3 2 483000 13.08777 343000 12.74549 0.163462 0.163462 -1.723263 -1.723263 12.89922 -2.5 3 508000 13.13824 446000 13.00807 0.259615 0.259615 -1.202023 -1.202023 12.89922 -2
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Unformatted text preview: 4 515000 13.15192 529000 13.17874 0.355769 0.355769-0.821667-0.821667 12.89922-1.5 5 615000 13.32938 651000 13.38626 0.451923 0.451923-0.508595-0.508595 12.89922-1 6 667000 13.41055 730000 13.5008 0.548077 0.548077-0.230365-0.230365 12.89922-0.5 7 726000 13.49531 730000 13.5008 0.644231 0.644231 0.032925 0.032925 12.89922 8 755000 13.53447 730000 13.5008 0.740385 0.740385 0.299033 0.299033 12.89922 0.5 9 808000 13.60232 960000 13.77469 0.836538 0.836538 0.593977 0.593977 12.89922 1 10 849000 13.65181 973000 13.78814 0.932692 0.932692 0.992689 0.992689 12.89922 1.5 Slope A Spring A Spring B Intercepts A = -2.4 0.228 beta = 4.39 2.604167 Inverse of Slope Slope B alpha= 686938 714973 exp of intercept) Intercept B= -1.5 0.384 Reliabiliy 0.911098 0.802222 exp -(400000/alpha)^beta...
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This note was uploaded on 12/05/2011 for the course MSE 4020 at Cornell.

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Weibull Analysis - 4 515000 13.15192 529000 13.17874...

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