Explain how to prepare a powder with an average particle diameter near \(100\mu m\) by using sieves from Table 28-2. How would such a particle mesh size be designated?

Short Answer

Expert verified

The sample retained by\(170\) mesh sieve would have a size between\(0.090\;{\rm{mm}}\) and\(0.125\;{\rm{mm}}\), it would be called\(120/170\) mesh

Step by step solution

01

Definition of Standard deviation.

  • The standard deviation is a measure of how far something deviates from the mean (for example, spread, dispersion, or spread). A "typical" variation from the mean is represented by the standard deviation.
  • Because it returns to the data set's original units of measurement, it's a common measure of variability.
  • The standard deviation, defined as the square root of the variance, is a statistic that represents the dispersion of a dataset relative to its mean.
02

Determine the particle mesh size be designated.

  • In this task we will explain the preparation of a powder with an average particle diameter\(100\mu {\rm{m}}\)using the sieves from Table\(28 - 2\).

  • First we will convert \(100\mu {\rm{m}}\) to\({\rm{mm}}\)in order to find the mesh:

\(100\mu {\rm{m}}= 0.1\;{\rm{mm}}\)

  • Which would be between\(120 - 140 - 170\) sieve number (considering that values of screen opening from Table\(28 - 2\)are\(0.125 - 0.106 - 0.090\), which are all \(0.1\) mm)
  • From Table \(28 - 2\) we can say that we would use a\(120\)mesh sieve, through which we would pass the powder and then proceed to the\(170\)mesh sieve

Therefore, the sample retained by\(170\)mesh sieve would have a size between\(0.090\;{\rm{mm}}\)and\(0.125\;{\rm{mm}}\), it would be called \(120/170\)mesh

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Most popular questions from this chapter

When you flip a coin, the probability of its landing on each side is \(p = q = \frac{1}{2}\)in Equations 28-2 and 28-3. If you flip it \(n\)times, the expected number of heads equals the expected number of tails \( = np = nq = \frac{1}{2}n.\)The expected standard deviation for \(n\)flips is\({\sigma _n} = \sqrt {npq} \). From Table 4-1, we expect that \(68.3\% \)of the results will lie within \( \pm 1{\sigma _n}\) and \(95.5\% \)of the results will lie within\( \pm 2{\sigma _n}\).

(a) Find the expected standard deviation for the number of heads in \({\bf{1000}}\) coin flips.

(b) By interpolation in Table 4-1, find the value of \(z\)that includes \(90\% \)of the area of the Gaussian curve. We expect that \(90\% \)of the results will lie within this number of standard deviations from the mean.

(c) If you repeat the\({\bf{1000}}\)coin flips many times, what is the expected range for the number of heads that includes\(90\% \) of the results? (For example, your answer might be, "The range \({\bf{490}}\) to \({\bf{510}}\) will be observed \(90\% \)of the time.")

To pre-concentrate cocaine and benzoylecgonine from river water described at the opening of this chapter, solid-phase extraction was carried out at \({\rm{pH}}\,\,2\) using the mixed-mode cation-exchange resin in Figure 28-19. After passing \(500\;{\rm{mL}}\)of river water through \(60{\rm{mg}}\)of resin, the retained analytes were eluted first with \(2\;{\rm{mL}}\)of \({\rm{C}}{{\rm{H}}_3}{\rm{OH}}\)and then with \(2\;\,\,{\rm{mL }}of\,\,\,2\% \) ammonia solution in\({\rm{C}}{{\rm{H}}_3}{\rm{OH}}\). Explain the purpose of using \({\rm{pH}}2\) for retention and dilute ammonia for elution.

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1. Particles were collected by drawing a known volume of air through a polyvinyl chloride filter with \(5 - \mu {\rm{M}}\)pore size.

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4. Cr(VI) was then eluted from the column with\(0.5{\rm{M}}{\left( {{\rm{N}}{{\rm{H}}_4}} \right)_2}{\rm{S}}{{\rm{O}}_4}/0.05{\rm{MN}}{{\rm{H}}_3}\) buffer, \({\rm{pH}}8,\)and collected in a vial.

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(a) What are the dominant species of \({\rm{Cr}}\)(VI) and \({\rm{Cr}}\)(III) at\({\rm{pH}}8\)?

(b) What is the purpose of the anion exchanger in step 3 ?

(c) Why is a "strongly basic" anion exchanger used instead of a "weakly basic" exchanger?

(d) Why is Cr(VI) eluted in step 4 but not step 3 ?

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