ME405_Lecture_36 - ME 405 Fall 2006 Professor John M Cimbala Lecture 36 Today we will Continue our discussion of particle statistics in Section 8.2

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ME 405 Fall 2006 Professor John M. Cimbala Lecture 36 12/01/2006 Today, we will : Continue our discussion of particle statistics in Section 8.2 Begin to discuss particle collection efficiency in Section 8.3 Do C a n d y Q u e s t i o n s f o r C a n d y F r i d a y Let’s continue discussing the log-normal distribution, in terms of particle count (number distribution):
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Log-probability paper for particle distributions (created by J. M. Cimbala) cumulative distribution function, expressed as a probability (%) D p,max,j ( μ m) 1 2 3 4 5 8 6 10 20 30 40 50 80 60 100 10 5 2 20 15.9 30 50 40 50 70 60 80 90 95 98 84.1
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Additional analysis of the sample particle data (class handout; also see Excel spreadsheet): j number) D p ,min, j (lower limit) D p ,max, j limit) 114 246 368 489 59 1 0 61 01 4 71 41 6 81 62 0 92 03 5 10 35 50 11 50 100 m j ,in = n j ρ p π D p , j 3 /6 = mass in class j (mg) m j ,in / Δ ( D p , j ) (mass in class j divided by class width) g ( D p , j ) in = m j / m t (mass fraction of original aerosol) 8.50848E-07 2.83616E-07 0.000373985 1.0472E-05 5.23599E-06 0.004602889 2.89147E-05 1.44573E-05 0.012709268
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This note was uploaded on 07/23/2008 for the course ME 521 taught by Professor Cimbala during the Fall '07 term at Pennsylvania State University, University Park.

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ME405_Lecture_36 - ME 405 Fall 2006 Professor John M Cimbala Lecture 36 Today we will Continue our discussion of particle statistics in Section 8.2

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