1 / 39

Dr. R. Nagarajan Professor Dept of Chemical Engineering IIT Madras

Advanced Transport Phenomena Module 3 Lecture 11. Dr. R. Nagarajan Professor Dept of Chemical Engineering IIT Madras. Constitutive Laws: Illustrative Problems. LIMITATIONS OF LINEAR LOCAL FLUX VS LOCAL DRIVING FORCE CONSTITUTIVE LAWS. Nonlinear fluids

lucia
Télécharger la présentation

Dr. R. Nagarajan Professor Dept of Chemical Engineering IIT Madras

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Advanced Transport Phenomena Module 3 Lecture 11 Dr. R. Nagarajan Professor Dept of Chemical Engineering IIT Madras

  2. Constitutive Laws: Illustrative Problems

  3. LIMITATIONS OF LINEAR LOCAL FLUX VS LOCAL DRIVING FORCE CONSTITUTIVE LAWS • Nonlinear fluids • Nonlocal spatial behavior– Action at a distance • Nonlocal temporal behavior– Fluids with memory • Multiphase effects– nonlinear species drag laws

  4. NONLINEAR FLUIDS • Non-Newtonian fluids: dynamic viscosity depends on deformation rate (or extra stress) • e.g., high-mass-loaded slurries, clay-in-water, etc. • Dynamics of such fluids studied under “rheology” • Analogous non-linearities exist in heat & mass transfer • e.g., solute diffusion through human blood

  5. NONLOCAL SPATIAL BEHAVIOR • When mfp not negligible compared to overall length over which transport process occurs • e.g., transport across very low-density gases in ducts, electronic conduction in micro crystallites, radiation transport through nearly transparent media

  6. NONLOCAL TEMPORAL BEHAVIOR • Fluid responding to previous stresses, stress history • e.g., visco-elastic fluids, such as gels, that partially return to their original state when applied stress is interrupted • Analogous behavior possible for energy & mass transfer • e.g., time lags between imposition of spatial gradients & associated fluxes • Effects associated with finite thermal and concentration wave speeds

  7. MULTIPHASE EFFECTS • Single-phase mixture vs multiphase system • e.g., gas with vapors of varying molecular weights vs droplet-laden gas • Not a sharp distinction • Relates to vi – vj, vi – v • Linear laws apply only when these differences are small.

  8. PROBLEM 1 Figure on next slide displays the experimentally observed composition dependence of the viscosity m of a mixture of ammonia and hydrogen at 306 K, 1 atm. N.B.: The units used for m in Figure are mP (micro-poise) where 1 poise 1 g/cm∙s. The MKS unit of viscosity is 1 kg/m∙s or 1 Pascal-second.

  9. PROBLEM 1

  10. PROBLEM 1 • a. Using Chapman-Enskog (CE) Theory and the Lennard-Jones (LJ) potential parameters, examine the agreement for the two endpoints, i.e., the viscosities of pure NH3 and pure H2 at 306 K, 1 atm. • Using the “square-root rule,” what would you have predicted for that composition dependence of the mixture viscosity in this case? What conclusions do you draw from this comparison?

  11. PROBLEM 1 • How would you expect the NH3 + H2 curve to shift if the temperature were increased to 1000 K and the pressure were increased ten-fold? (Discuss the basis for your expectation.) • Estimate the binary diffusion coefficient from Chapman-Enskog theory. • e. Calculate the Schmidt number for an equimolar mixture of H2(g) and NH3(g). (cm2/s)

  12. PROBLEM 1 k(NH3 (g)) and Calculation Given the tabular data:

  13. PROBLEM 1 Calculate k(NH3 (g)) and @ 1 atm. 306 K Thermal conductivity of NH3(g) is calculated to give 1.063 x 10-4 poise.

  14. PROBLEM 1

  15. PROBLEM 1 Therefore

  16. PROBLEM 1 Calculation of DNH3-H2 @ 306 K, 1 atm: and Sc for y1 = 0.5

  17. PROBLEM 1 In the present case:

  18. PROBLEM 1 From tabular values ( Hirshfelder, Curtiss and Bird (1954)); Therefore: For an equimolar mixture of ammonia and hydrogen:

  19. PROBLEM 1 Moreover, Assuming perfect gas behavior: The momentum diffusivity of the mixture is therefore:

  20. PROBLEM 1 Corresponding to a diffusivity ratio of :

  21. PROBLEM 2 Property estimation for the hydrodesulphurization of Naphtha vapors. For the preliminary design of a chemical reactor to carry out the removal of trace sulfur compounds (e.g., C4H4S) from petroleum naphtha vapors (predominantly heptane, C7H16), it is necessary to estimate the Newtonian viscosity and corresponding momentum diffusivity of the vapor mixture at 660 K, 30 atm; these are rather extreme conditions for which direct measurements are not available.

  22. PROBLEM 2 • Using the vapor composition together with selected results from the kinetic theory of ideal vapors and dense vapors, what are your best estimates for mmix and nmix ?

  23. PROBLEM 2 • b. If this vapor mixture is to be passed at the rate of • 2 g/s through each 2.54 cm diameter circular tube • ( in a parallel array), calculate the corresponding Reynolds’ number, Re ≡ Udw/nmix within each tube (whereUis the average vapor-mixture velocity). This dimensionless ratio will be seen to be required to estimate the mechanical energy required to pump the vapor through such tubes.

  24. PROBLEM 2 c. Estimate the effective (pseudo-binary) Fick diffusion coefficient for thiophene (C4H4S) migration through this mixture, and the corresponding diffusivity ratio: Sc ≡nmix /D3-mix .

  25. PROBLEM 2

  26. PROPERTY ESTIMATION FOR THE HYDRODESULPHURIZATION OF NAPHTHA VAPORS a. Suppose we need viscosity of b. Further, if The first step is the estimation of the mixture viscosity based on its composition and the properties of its constituents under the anticipated

  27. PROBLEM 2 operating conditions (660 K, 30 atm). Tentatively we use: where

  28. PROBLEM 2 In what follows, we sequentially consider the viscosities of each of the constituents of the vapor mixture. Viscosity of Hydrogen(g) at 660 K, 30 atm:

  29. PROBLEM 2

  30. PROBLEM 2 Therefore Using table for L-J 12:6 potential ( Hirschfelder, Curtiss, and Bird (1954))

  31. PROBLEM 2 Therefore We now consider a similar calculation for the species C7H16(g) and check whether “dense vapor” correction are important

  32. PROBLEM 2 Viscosity of n-Heptane at 660 K, 30 atm.

  33. PROBLEM 2 Therefore via Hirshfelder et al. (1954) table; cf. 1.22(2.34)-0.16=1.065) and

  34. PROBLEM 2 Dense Vapor Correction? This can be estimated via the principle of “corresponding states” For C7H16: and From Therefore

  35. PROBLEM 2 Viscosity of Binary Mixture @ 660 K, 30 atm.. Table for calc. i Mi yi 104mi 1 2.016 1.4199 0.828 1.502 2 100.128 10.006 0.172 1.017

  36. PROBLEM 2 Then Re-Number Calculation:

  37. PROBLEM 2 For each dw=2.54 cm tube and If the perfect gas EOS is valid for the mixture, where

  38. PROBLEM 2 Now: And Therefore

  39. PROBLEM 2 Conclusion: Since for tube, @ Re=8.26 x 103 the flow should be turbulent (under anticipated hydrodesulphurization conditions).

More Related