5 Development of a Dynamic-Physical Process Model for Sieving
197
94. Chung, Y.C., Liao, H.H., Hsiau, S.S.: Convection behavior of non-spherical particles in a
vibrating bed: discrete element modeling and experimental validation. Powder Technol. 237,
53–66 (2013)
95. Skorych, V., Dosta, M., Hartge, E.-U., Heinrich, S.: Novel system for dynamic flowsheet
simulation of solids processes. Powder Technol. 314, 665–679 (2017)
96. Dimian, A., Bildea, C., Kiss, A.: Integrated design and simulation of chemical processes.
Elsevier 13, 73–156 (2014)
97. Dosta, M., Heinrich, S., Werther, J.: Fluidized bed spray granulation: analysis of the system
behaviour by means of dynamic flowsheet simulation. Powder Technol. 204(1), 71–82 (2010)
98. Marquardt, W. Dynamic process simulation—recent progress and future challenges. In:
Chemical Process Control CPC-IV, CACHE Publications, pp. 131–180 (1991)
99. Schwier, D., Hartge, E.U., Werther, J., Gruhn, G.: Global sensitivity analysis in the flowsheet
simulation of solids processes. Chem. Eng. Process. 49(1), 9–21 (2010)
100. Hartge, E.U., Pogodda, M., Reimers, C., Schwier, D., Gruhn, G., Werther, J.: Flowsheet
simulation of solids processes. KONA 24, 146–158 (2006)
101. Reimers, C., Werther, J., Gruhn, G.: Flowsheet simulation of solids processes. Data reconciliation and adjustment of model parameters. Chem. Eng. Process.: Process Intensification
47(1), 138–158 (2008)
102. Dosta, M., Antonyuk, S., Hartge, E.-U., Heinrich, S.: Parameter estimation for the flowsheet
simulation of solids processes. Chem. Ing. Tec. 86(7), 1073–1079 (2014)
103. Dehghani, A., Monhemius, A.J., Gochin, R.J. Evaluating the Nakajima et al. model for
rectangular-aperture screens. Minerals Eng. 15, 1089–1094 (2002)
104. Hatch, C.C., Mular, A.L. Simulation of the Brenda Mines Ltd. secondary crusher. In: SMEAIME Annual Meeting, pp. 54–79 (1979)
105. Plitt, L.R.: The analysis of solid—solid separations in classifiers. CIM Bull. 64, 42–47 (1971)
106. Rogers, R.S.C.: A classification function for vibrating screens. Powder Technol. 31, 135–137
(1982)
107. Molerus, O., Hoffmann, H. Darstellung von Windsichtertrennkurven durch ein stochastisches
Modell, Chemie Ingenieur Technik 41 (5+6), 340–344 (1969)
108. Trawinski, H.: Die mathematische Formulierung der Tromp-Kurve. Aufbereitungstechnik
17(248–254), 449–459 (1976)
109. Elskamp, F., Kruggel-Emden, H., Hennig, M., Teipel, U.: Benchmarking of process models
for continuous screening based on discrete element simulations. Miner. Eng. 83, 78–96 (2015)
110. Standish, N.: The kinetics of batch sieving. Powder Technol. 41, 57–67 (1985)
111. Standish, N., Meta, I.A.: Some kinetic aspects of continuous screening. Powder Technol. 41,
165–171 (1985)
112. Trumic, M., Magdalinovic, N.: New model of screening kinetics. Miner. Eng. 24, 42–49
(2011)
113. Andreev, S.E., Perov, V.A., Zverevic, V.V.: Droblenie izmelcenie i grohocenie poleznyh
iskopaemyh. Nedra, Moscow (1980)
114. Subasinghe, G.K.N.S., Schaap, W., Kelly, E.G.: Modelling screening as a conjugate rate
process. Int. J. Miner. Process. 28, 289–300 (1990)
115. Subasinghe, G.K.N.S., Schaap, W., Kelly, E.G.: Modelling the screening process: a probabilistic approach. Powder Technol. 59, 37–44 (1989)
116. Nakajima, Y., Whiten, W.J.: Behaviour of non-spherical particles in screening. Trans. Inst.
Min. Metall. 88, C88–C92 (1979)
117. Ferrara, G., Preti, U., Schena, G.D. Computer-aided use of a screening process model. In:
Twentieth International Symposium on the Application of Computers and Mathematics in the
Mineral Industries, pp. 153–166 (1987)
118. Shimosaka, A., Higashihara, S., Hidaka, J.: Estimation of the sieving rate of powders using
computer simulation. Adv. Powder Technol. 11(4), 487–502 (2000)
119. Li, J., Webb, C., Pandiella, S.S., Campbell, G.M.: Discrete particle motion on sieves—a
numerical study using the DEM simulation. Powder Technol. 133, 190–202 (2003)
120. Gaudin, A.M.: Principles of mineral dressing. McGraw-Hill, New York, USA (1939)
197
94. Chung, Y.C., Liao, H.H., Hsiau, S.S.: Convection behavior of non-spherical particles in a
vibrating bed: discrete element modeling and experimental validation. Powder Technol. 237,
53–66 (2013)
95. Skorych, V., Dosta, M., Hartge, E.-U., Heinrich, S.: Novel system for dynamic flowsheet
simulation of solids processes. Powder Technol. 314, 665–679 (2017)
96. Dimian, A., Bildea, C., Kiss, A.: Integrated design and simulation of chemical processes.
Elsevier 13, 73–156 (2014)
97. Dosta, M., Heinrich, S., Werther, J.: Fluidized bed spray granulation: analysis of the system
behaviour by means of dynamic flowsheet simulation. Powder Technol. 204(1), 71–82 (2010)
98. Marquardt, W. Dynamic process simulation—recent progress and future challenges. In:
Chemical Process Control CPC-IV, CACHE Publications, pp. 131–180 (1991)
99. Schwier, D., Hartge, E.U., Werther, J., Gruhn, G.: Global sensitivity analysis in the flowsheet
simulation of solids processes. Chem. Eng. Process. 49(1), 9–21 (2010)
100. Hartge, E.U., Pogodda, M., Reimers, C., Schwier, D., Gruhn, G., Werther, J.: Flowsheet
simulation of solids processes. KONA 24, 146–158 (2006)
101. Reimers, C., Werther, J., Gruhn, G.: Flowsheet simulation of solids processes. Data reconciliation and adjustment of model parameters. Chem. Eng. Process.: Process Intensification
47(1), 138–158 (2008)
102. Dosta, M., Antonyuk, S., Hartge, E.-U., Heinrich, S.: Parameter estimation for the flowsheet
simulation of solids processes. Chem. Ing. Tec. 86(7), 1073–1079 (2014)
103. Dehghani, A., Monhemius, A.J., Gochin, R.J. Evaluating the Nakajima et al. model for
rectangular-aperture screens. Minerals Eng. 15, 1089–1094 (2002)
104. Hatch, C.C., Mular, A.L. Simulation of the Brenda Mines Ltd. secondary crusher. In: SMEAIME Annual Meeting, pp. 54–79 (1979)
105. Plitt, L.R.: The analysis of solid—solid separations in classifiers. CIM Bull. 64, 42–47 (1971)
106. Rogers, R.S.C.: A classification function for vibrating screens. Powder Technol. 31, 135–137
(1982)
107. Molerus, O., Hoffmann, H. Darstellung von Windsichtertrennkurven durch ein stochastisches
Modell, Chemie Ingenieur Technik 41 (5+6), 340–344 (1969)
108. Trawinski, H.: Die mathematische Formulierung der Tromp-Kurve. Aufbereitungstechnik
17(248–254), 449–459 (1976)
109. Elskamp, F., Kruggel-Emden, H., Hennig, M., Teipel, U.: Benchmarking of process models
for continuous screening based on discrete element simulations. Miner. Eng. 83, 78–96 (2015)
110. Standish, N.: The kinetics of batch sieving. Powder Technol. 41, 57–67 (1985)
111. Standish, N., Meta, I.A.: Some kinetic aspects of continuous screening. Powder Technol. 41,
165–171 (1985)
112. Trumic, M., Magdalinovic, N.: New model of screening kinetics. Miner. Eng. 24, 42–49
(2011)
113. Andreev, S.E., Perov, V.A., Zverevic, V.V.: Droblenie izmelcenie i grohocenie poleznyh
iskopaemyh. Nedra, Moscow (1980)
114. Subasinghe, G.K.N.S., Schaap, W., Kelly, E.G.: Modelling screening as a conjugate rate
process. Int. J. Miner. Process. 28, 289–300 (1990)
115. Subasinghe, G.K.N.S., Schaap, W., Kelly, E.G.: Modelling the screening process: a probabilistic approach. Powder Technol. 59, 37–44 (1989)
116. Nakajima, Y., Whiten, W.J.: Behaviour of non-spherical particles in screening. Trans. Inst.
Min. Metall. 88, C88–C92 (1979)
117. Ferrara, G., Preti, U., Schena, G.D. Computer-aided use of a screening process model. In:
Twentieth International Symposium on the Application of Computers and Mathematics in the
Mineral Industries, pp. 153–166 (1987)
118. Shimosaka, A., Higashihara, S., Hidaka, J.: Estimation of the sieving rate of powders using
computer simulation. Adv. Powder Technol. 11(4), 487–502 (2000)
119. Li, J., Webb, C., Pandiella, S.S., Campbell, G.M.: Discrete particle motion on sieves—a
numerical study using the DEM simulation. Powder Technol. 133, 190–202 (2003)
120. Gaudin, A.M.: Principles of mineral dressing. McGraw-Hill, New York, USA (1939)