17 A Framework for Dynamic Simulation of Interconnected …
627
22. Helget, A.: Modulare Simulation verfahrenstechnischer Anlagen. VDI Verlag GmbH,
Fortschritt-Berichte (1997)
23. Hennig, M., Teipel, U.: Stationäre Siebklassierung. Chem. Ing. Tec. 88, 911–918 (2016)
24. Hillestad, M., Hertzberg, T.: Dynamic simulation of chemical engineering systems by the
sequential modular approach. Comput. Chem. Eng. 10, 377–388 (1986)
25. Hindmarsh, A.C., Serban, R., Collier, A.: User Documentation for IDA v3.1.0 (SUNDIALS
v3.1.0), Center for Applied Scientic Computing Lawrence Livermore National Laboratory
(2017)
26. Iveson, S.M., Beathe, J.A., Page, N.W.: The dynamic strength of partially saturated powder
compacts: the effect of liquid properties. Powder Technol. 127(2), 149–161 (2002)
27. JKSimMet—JKTech Simulation of Comminution and Classification Circuits. [online]. [cit.
2019-12-10]. https://jktech.com.au/jksimmet
28. King, R. P.: Modeling and Simulation of Mineral Processing Systems. Butterworth &
Heinemann, Oxford (2001)
29. Kovaˇ cevi´ c, T., Wiedmeyer, V., Schock, J., Voigt, A., Pfeiffer, F., Sundmacher, K., Briesen,
H.: Disorientation angle distribution of primary particles in potash alum aggregates. J. Cryst.
Growth 467, 93–106 (2017)
30. Kovaˇ cevi´ c, T., Briesen, H.: Simulations of crystal aggregation and growth: Towards correct
crystal area. AIChE 65(5) (2019)
31. Kumar, J., Peglow, M., Warnecke, G., Heinrich, S.: An efficient numerical technique for solving
population balance equation involving aggregation, breakage, growth and nucleation. Powder
Technol. 182(1), 81–104 (2008)
32. Kumar, S., Ramkrishna, D.: On the solution of population balance equations by discretization
I. A fixed pivot technique. Chem. Eng. Sci. 51(8), 1311–1332 (1996)
33. Lelarasmee, E., Ruehli, A.E., Sangiovanni-Vincintelli, A.L.: The Waveform Relaxation Method
for Time-Domain Analysis of Large Scale Integrated Circuits: Theory and Applications.
University of California (1982)
34. Liu, L.X., Litster, J.D., Iveson, S.M., Ennis, B.J.: Coalescence of deformable granules in wet
granulation processes. AIChE J. 46(3), 529–539 (2000)
35. Londershausen, T.T.: Entwicklung von Prognosefunktionen zur Abschätzung der
Staubungsneigung von trockenen und feuchten Schüttgütern. Shaker Verlag, Aachen (2018)
36. Luyben, W.L.: Aspen dynamics simulation of a middle-vessel batch distillation process. J.
Process Control 33, 49–59 (2015)
37. Mah, R.: Chemical Process Structures and Information Flows, pp. 125–183. Butterworth
Publishers, Oxford
38. Marquardt, W.: Dynamic Process Simulation—Recent Progress and Future Challenges,
pp. 131–180. CACHE Publications, Chemical Process Control CPC-IV, London (1991)
39. Mathews, J.H., Fink, K.D.: Numerical Methods Using MATLAB, 3rd edn. Prentice Hall, Upper
Saddle River (1999)
40. Metta, N., Ghijs, M., Schäfer, E., Kumar, A., Cappuyns, P., Van Assche, I., Singh, R., Ramachandran, R., De Beer, T., Ierapetritou, M., Nopens, I.: Dynamic flowsheet model development and
sensitivity analysis of a continuous pharmaceutical tablet manufacturing process using the wet
granulation route. Processes 7, 234 (2019)
41. Molerus, O., Hoffmann, H.: Darstellung von Windsichtertrennkurven durch ein stochastisches
Modell. Chemie Ingenieur Technik 41(5 + 6), 340–344 (1969)
42. Muschelknautz, E.: Die Berechnung von Zyklonabscheidern für Gase. Chem. Ing. Tech.
44(1/2), 63–71 (1972)
43. Parnas, D.L.: On the criteria to be used in decomposing systems into modules. Commun. ACM
15(12), 1053–1058 (1972)
44. Plitt, L.R.: The analysis of solid-solid separations in classifiers. CIM Bull. 64(708), 42–47
(1971)
45. Pogodda, M.: Development of an Advanced System for the Modeling and Simulation of Solids
Processes. Shaker Verlag, Germany
627
22. Helget, A.: Modulare Simulation verfahrenstechnischer Anlagen. VDI Verlag GmbH,
Fortschritt-Berichte (1997)
23. Hennig, M., Teipel, U.: Stationäre Siebklassierung. Chem. Ing. Tec. 88, 911–918 (2016)
24. Hillestad, M., Hertzberg, T.: Dynamic simulation of chemical engineering systems by the
sequential modular approach. Comput. Chem. Eng. 10, 377–388 (1986)
25. Hindmarsh, A.C., Serban, R., Collier, A.: User Documentation for IDA v3.1.0 (SUNDIALS
v3.1.0), Center for Applied Scientic Computing Lawrence Livermore National Laboratory
(2017)
26. Iveson, S.M., Beathe, J.A., Page, N.W.: The dynamic strength of partially saturated powder
compacts: the effect of liquid properties. Powder Technol. 127(2), 149–161 (2002)
27. JKSimMet—JKTech Simulation of Comminution and Classification Circuits. [online]. [cit.
2019-12-10]. https://jktech.com.au/jksimmet
28. King, R. P.: Modeling and Simulation of Mineral Processing Systems. Butterworth &
Heinemann, Oxford (2001)
29. Kovaˇ cevi´ c, T., Wiedmeyer, V., Schock, J., Voigt, A., Pfeiffer, F., Sundmacher, K., Briesen,
H.: Disorientation angle distribution of primary particles in potash alum aggregates. J. Cryst.
Growth 467, 93–106 (2017)
30. Kovaˇ cevi´ c, T., Briesen, H.: Simulations of crystal aggregation and growth: Towards correct
crystal area. AIChE 65(5) (2019)
31. Kumar, J., Peglow, M., Warnecke, G., Heinrich, S.: An efficient numerical technique for solving
population balance equation involving aggregation, breakage, growth and nucleation. Powder
Technol. 182(1), 81–104 (2008)
32. Kumar, S., Ramkrishna, D.: On the solution of population balance equations by discretization
I. A fixed pivot technique. Chem. Eng. Sci. 51(8), 1311–1332 (1996)
33. Lelarasmee, E., Ruehli, A.E., Sangiovanni-Vincintelli, A.L.: The Waveform Relaxation Method
for Time-Domain Analysis of Large Scale Integrated Circuits: Theory and Applications.
University of California (1982)
34. Liu, L.X., Litster, J.D., Iveson, S.M., Ennis, B.J.: Coalescence of deformable granules in wet
granulation processes. AIChE J. 46(3), 529–539 (2000)
35. Londershausen, T.T.: Entwicklung von Prognosefunktionen zur Abschätzung der
Staubungsneigung von trockenen und feuchten Schüttgütern. Shaker Verlag, Aachen (2018)
36. Luyben, W.L.: Aspen dynamics simulation of a middle-vessel batch distillation process. J.
Process Control 33, 49–59 (2015)
37. Mah, R.: Chemical Process Structures and Information Flows, pp. 125–183. Butterworth
Publishers, Oxford
38. Marquardt, W.: Dynamic Process Simulation—Recent Progress and Future Challenges,
pp. 131–180. CACHE Publications, Chemical Process Control CPC-IV, London (1991)
39. Mathews, J.H., Fink, K.D.: Numerical Methods Using MATLAB, 3rd edn. Prentice Hall, Upper
Saddle River (1999)
40. Metta, N., Ghijs, M., Schäfer, E., Kumar, A., Cappuyns, P., Van Assche, I., Singh, R., Ramachandran, R., De Beer, T., Ierapetritou, M., Nopens, I.: Dynamic flowsheet model development and
sensitivity analysis of a continuous pharmaceutical tablet manufacturing process using the wet
granulation route. Processes 7, 234 (2019)
41. Molerus, O., Hoffmann, H.: Darstellung von Windsichtertrennkurven durch ein stochastisches
Modell. Chemie Ingenieur Technik 41(5 + 6), 340–344 (1969)
42. Muschelknautz, E.: Die Berechnung von Zyklonabscheidern für Gase. Chem. Ing. Tech.
44(1/2), 63–71 (1972)
43. Parnas, D.L.: On the criteria to be used in decomposing systems into modules. Commun. ACM
15(12), 1053–1058 (1972)
44. Plitt, L.R.: The analysis of solid-solid separations in classifiers. CIM Bull. 64(708), 42–47
(1971)
45. Pogodda, M.: Development of an Advanced System for the Modeling and Simulation of Solids
Processes. Shaker Verlag, Germany