Home assignments for the Course of Polymer Physical Chemistry Section VI: Polymer Viscoelasticity and Section VII: Relaxation in Polymers 1. Estimate molecular weight between entanglement Me for a polymer if it has rubbery plateau value GN=1 MPa at T=400K. Assume that the density of the polymer is 1g/cm3. Me RT GN ≈ 3320 [g/mol] 2. Estimate the viscosity of the PDMS melt with molecular weight M=106 g/mol and the modulus plateau level GN=0.2 MPa at room T. Assume that relaxation time of a segment at room T is 0=10-10 s, mass of a single segment is MS=250 g/moland the melt density is =0.97 g/cm3. Using all these parameters, estimate: - Me; - viscosity and - how extended in time is the rubbery plateau. Me RT 2 GN ≈ 12,077 [g/mol] 2 M3 ≈ 0.822*0.2*106*1.32*109*10-10 ≈ 21,700 [Pa*s] 2 0 12 12 M eM S The rubbery plateau extends from the Rouse time of the chain with M~Me, a, till the reptation time *. M e2 a 2 0 ≈ 2.3*10-7 [s] MS G N * GN M3 0 ≈ 0.132 [s]. So, the plateau extends for almost 6 orders in time. M e M S2 * 3. Calculate the apparent activation energy V and 0 for the relaxation process shown below. Assume that the relaxation process starts from the level (t)~0.5 and its temperature variation follows Arrhenius temperature dependence =0exp(V/kT). Relaxation function obtained for PPG (Mn=4000) by photon-correlation spectroscopy. Temperatures from left to the right: 221K, 218K, 214K, 211K, 208K, 205K, 200K, 198K, 192K (data from [Bergman, et al. Phys.Rev.B 56, 11619 (1997)]). First, you estimate as the time at which the curves cross (t)~0.18. Using these data you plot log vs 1/T and do a linear fit (see Fig.1 below). The fit gives you a slope and an intercept at 1/T=0. If you used decimal logarithm, then the intercept gives you ~ -65, i.e. 0~10-6510 s. The slope is ~13,000, but you need to multiply it by the ln(10)~2.3. Using this slope multiplied by ln(10) and by the gas constant R, you will get V~270 kJ/mol. If you used natural logarithm, then the slope multiplied by the gas constant should give you the same V, and 0 can be also recalculated from the intercept. 2 10 1 10 Equation y = a + b*x Weight No Weighting Residual Sum of Squares 0.06287 Pearson's r 0.99849 0.99549 Adj. R-Square Value Tau Intercept Tau Slope Standard Error -63.31138 2.40907 13041.96633 506.68322 0 [s] 10 -1 10 -2 10 -3 10 -4 10 0.0045 0.0046 0.0047 0.0048 0.0049 0.0050 1/T [1/K] Fig.1: Arrhenius plot of the relaxation time vs 1/T (symbols). The line shows the fit by a straight line that provides estimates of the activation energy V (slope) and 0 (intercept).