Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Homework 2 Surface Characterization Answers 1 Find a scholarly recent publication describing the effect of a manufacturing processes on the nature and features of a metal surface and write a 100 word essay summarizing it. Answer.- Article by Z. Rimuza, ”Tribology of Polymers”, Archives of Civil and Mechanical Engineering, Vol. VII, No. 4, 2007, 177-184. Rimuza presents and overview of key issues concerning the tribology of polymers. Many polymers are viscoelastic and exhibit very low values of surface energy, these, together with the long chain nature of their molecular structures result in peculiar tribological behavior not encountered in metals and ceramics. As with most frictional systems, adhesion and deformation mechanisms are directly involved in friction and wear. Rimuza first discusses Polymer on Non-polymer contacts where, with appropriate pairing very low values of friction coefficient can be obtained. Mechanical and adhesive interactions play both important roles on the frictional behavior and material transfer layers are often associated with wear. In the case of Polymer-on-Polymer contacts, the phenomenon of stick-slip (brief periods of seizure followed by rapid motion) is commonly observed and wear is also associated with transfer layers. Lubrication can be used with polymers but care must be used to avoid weakening the material structure by chemical modification. 2 Find a scholarly recent publication describing the effect of a surrounding atmosphere on the nature and features of a freshly exposed metal surface and write a 100 word essay summarizing it. 1 Answer.- Article by Asay et al. ”Macro to Nanoscale Wear Prevention via Molecular Adsorption”, Langmuir, Vol. 24, 2008, 155-159. The authors investigated the adsorption of pentanol molecules on clean single crystal silicon (100) surfaces covered with a thin (20 Å) native oxide layer, focusing on the effect of the adsorbed alcohol on tribological phenomena in MEMS devices. The silicon wafers were first exposed to pentanol under carefully controlled conditions and ≈ 10Å saturated alcohol monolayers formed according to Langmuir-type adsorption. Next the samples were tested by rubbing a 3 mm quartz sphere on the surface and significant reductions in friction coefficient were demsontrated to result from alcohol adsorption. Although various oligomers were identified, it was also noted that denuded, scratched surfaces were quickly sealed with alcohol promoting continued enhanced lubricating action. At the microscale, friction was tested using a MEMS sidewall friction device and the reduction of friction due to friction due to alcohol adsorption was confirmed. Finally, nanoscale friction tests were conducted using AFM further confirming the friction reducing effects of adsorbed alcohol layers. 3 Identify a modern profilometer and write a brief 100 word essay describing its features. Answer.- Nanovea offers a number of non-contact, optical profilometers. For details see website at http://www.nanovea.com/Profilometers.html?gclid=CPvQgLqOuJ0CFado5Qod6gNMiw. 4 A certain surface is found to have an approximately Gaussian roughness distribution with mean µ = 4 µm and standard deviation σ = 1 µm. Asperity heigh data has been determined with a resolution of 1 µm along the direction tangential to the surface. Use the inverse transform method to create 1000 simulated asperity height data points to compute all relevant statistical functions for the simulated surface and comment on your results. Answer.- Simulated asperity heights conforming to a Gaussian distribution with mean µ and standard deviation σ can be readily produced from the formula z =µ+σ R0.135 − (1 − R)0.135 0.1975 where R are values of (pseudo) random numbers uniformly distributed between 0 and 1. Using the Microsoft application Excel, the required values of R are readily produced with the 2 function RAND(). All the statistical function values associated with the resulting sample are then easily computed using intrisic Excel functions. Alternatively, the FORTRAN subroutine RANDOM provided in class can be used to produce the required values of R and the program provided also in class can compute all the necessary statistical functions. 5 The roughness of a certain surface is approximately described by a Weibull distribution with cumulative distribution function given by z F (z) = 1 − exp (−( )4) 4 Obtain and plot the various statistical functions useful in the description of the surface. Answer.- The following table summarizes the results Function or Quantity Expression and/or Value Probability Density Function (f) Mean (µ) Standard Deviation (σ) Skewness (Sk) Kurtosis (K) z3 exp (−( 4z )4 ) R ∞64 0 zfdz = 3.625 2 1 σ3 R∞ (z − µ) fdz = 1.034 R ∞0 (z − µ)3 fdz = −0.082 0R ∞ 1 4 σ4 0 (z − µ) fdz = 2.567 6 The following table summarizes experimental data on the asperity heights of a shot peened aluminum surface in terms of the cumulative distribution function z(µm) 1 F (z)(−) 0.005 2 0.05 3 4 5 0.22 0.5 0.8 6 7 0.95 0.99 8 0.9999 Use the data to obtain the various statistical functions useful in the description of the surface. Answer.- The cummulative probability distribution function associated with a Normal distribution of mean m and standard deviation s is given by 1 m z−m 1 F = erf( √ ) + erf( √ ) 2 2 s 2 s 2 3 where 2 erf(x) = √ π Z x exp(−ξ 2 )dξ 0 is the error function fo the argument x. The data given can be plotted and then compared against a normal distribution of mean µ = 4 and standard deviation σ = 1.2 to show that it is a good fit for such distribution. This is to be expected since the roughness of the shot peened surface is the result of a large number of random events. The calculated values of F from the above formula are z(µm) 1 F (z)(−) 0.0057 2 0.0473 3 0.2018 4 0.4995 4 5 0.7972 6 0.9517 7 0.9933 8 0.9991