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On the solution of population balance equations by discretization—I. A fixed pivot technique
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“Kumar and Ramkrishna [292] presented a new framework for the discretization of PBEs, considering particle populations in discrete size ranges to be concentrated only in representative volumes. One of the main advantages of this approach is that the coarseness of the discretization can be varied freely, without any specific geometric type, thus having a general and flexible pattern.”
From Modeling and Simulation of Photobioreactors with Computational Fluid Dynamics—A Comprehensive Review (2022) · cites this paper as [292]
In the citing paper
“The technique has been applied to binary and multiple breakages with power-law breakage rates, aggregation with constant, sum, and product kernel, and simultaneous breakage and aggregation. Comparison between analytical [293-295] and numerical results show good agreement.”
From Modeling and Simulation of Photobioreactors with Computational Fluid Dynamics—A Comprehensive Review (2022) · cites this paper as [292]
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On the solution of population balance equations by discretization—II. A moving pivot technique
Kumar, S., & Ramkrishna, D. (1996) · Chemical Engineering Science · doi:10.1016/0009-2509(95)00355-x · Cited by 825
Self-citationSectional representations for simulating aerosol dynamics
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The kinetics of cluster fragmentation and depolymerisation
Ziff, R. M., & McGrady, E. D. (1985) · Journal of Physics A: Mathematical and General · doi:10.1088/0305-4470/18/15/026 · Cited by 397
The Status of Population Balances
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Self-citationLandgrebe, J. D., & Pratsinis, S. E. (1990) · Journal of Colloid and Interface Science · doi:10.1016/0021-9797(90)90445-t · Cited by 287
Marchal, P., David, R., Klein, J. P., & Villermaux, J. (1988) · Chemical Engineering Science · doi:10.1016/0009-2509(88)87126-4 · Cited by 257
New solutions to the fragmentation equation
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The general dynamic equation for aerosols. Theory and application to aerosol formation and growth
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A meshless Radial Basis Method (RBM) for solving the detailed population balance equation
Alzyod, S., & Charton, S. (2020) · Chemical Engineering Science · doi:10.1016/j.ces.2020.115973 · Cited by 12
Ayer, M. A., Verde‐Sesto, E., Liu, C. H., Weder, C., Lattuada, M., & Simon, Y. C. (2021) · Polymer Chemistry · doi:10.1039/d1py00420d · Cited by 12
Maindarkar, S. N., Hoogland, H., & Henson, M. A. (2015) · Industrial & Engineering Chemistry Research · doi:10.1021/acs.iecr.5b01195 · Cited by 12
Liang, L., Wang, Y., & Pan, Z. (2015) · Particuology · doi:10.1016/j.partic.2015.02.009 · Cited by 12
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Frederix, E. M. A., Kuczaj, A. K., Nordlund, M., Veldman, A. E. P., & Geurts, B. J. (2016) · Journal of Aerosol Science · doi:10.1016/j.jaerosci.2016.10.008 · Cited by 12
Effect of nucleatipn profile on particle‐size distribution
Sathyagal, A., & McCormick, A. V. (1998) · AIChE Journal · doi:10.1002/aic.690441020 · Cited by 12
Kotoulas, C., & Kiparissides, C. A. (2007) · Polymer Reaction Engineering · doi:10.1002/9780470692134.ch5 · Cited by 12
Kushwah, P., Das, A., Saha, J., & Bück, A. (2023) · Communications in Nonlinear Science and Numerical Simulation · doi:10.1016/j.cnsns.2023.107244 · Cited by 11
Multistage Crystallization of Plate-like Crystals: A Modeling and Experimental Study on Adipic Acid
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Effect of breakup and coalescence kernels on polydispersed bubbly flow in continuous casting mold
Li, Y., Liu, Z., Xu, G., & Li, B. (2024) · International Journal of Multiphase Flow · doi:10.1016/j.ijmultiphaseflow.2024.104872 · Cited by 14
Liu, P., Shang, X., Tan, M. W., Shi, D., Zhang, X., Liu, G., Lim, S. H., Yin, H., Wan, M. P., Lisak, G., et al. (2025) · Powder Technology · doi:10.1016/j.powtec.2025.120821 · Cited by 11
de Velde, P. V., Scheid, B., Proost, J., & Haut, B. (2025) · Chemical Engineering Science · doi:10.1016/j.ces.2025.121598 · Cited by 11
Fávero, J. L., Silva, L. F. L. R., & Lage, P. L. C. (2013) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2013.08.006 · Cited by 11
“…weighted residuals methods (WRM) Hulburt & Akiyama, 1969; Ramkrishna, 1971; Subramanianand Ramkrishna, 1971), methods of classes (MoC) (Hill & Ng, 1996; umar & Ramkrishna, 1996; Lister, Smit, & Hounslow, 1995) and oment based methods (MoM) (Hulburt & Katz, 1964; Marchisio Fox, 2005; McGraw, 1997).”
Kiparissides, C. A. (2017) · Advances in polymer science · doi:10.1007/12_2017_16 · Cited by 11
Comparison of numerical solution strategies for population balance model of continuous cone mill
Bhonsale, S. S., Telen, D., Stokbroekx, B., & van Impe, J. F. M. (2019) · Powder Technology · doi:10.1016/j.powtec.2019.01.043 · Cited by 11
Lin, X., Wang, S., Jiang, S., & Zhang, S. (2022) · Chinese Journal of Mechanical Engineering · doi:10.1186/s10033-021-00671-3 · Cited by 11
Hundshagen, M., & Skoda, R. (2023) · International Journal of Turbomachinery Propulsion and Power · doi:10.3390/ijtpp8020015 · Cited by 14
Zhang, H., Yin, Z., Chi, W., & Zhang, W. (2023) · Powder Technology · doi:10.1016/j.powtec.2023.118661 · Cited by 12
Rehman, S. M. U., & Qamar, S. (2014) · Applied Mathematics · doi:10.4236/am.2014.513178 · Cited by 11
“A verity of accurate and efficient numerical techniques were introduced, such as the finite difference methods [3] [4], the method of moments [5] [6], the method of weighted residuals [7], the Monte Carlo method [8], and the flux limiting high resolution finite volume schemes [9]-[11].”
MethodHo, Y. K., Doshi, P., Yeoh, H. K., & Ngoh, G. C. (2015) · Biotechnology and Bioengineering · doi:10.1002/bit.25616 · Cited by 11
“…commercial solvers while the PBM involves the solution of a Partial Differential Equation (PDE) with an integral term, thus requiring the use of special techniques (Kostoglou, 2007; Kostoglou and Karabelas, 2002, 2004, 2009; Kumar et al., 2008; Kumar and Ramkrishna, 1996a, 1996b; Ramkrishna, 2000).”
MethodVafa, E., Shahrokhi, M., & Dehkordi, A. M. (2014) · Industrial & Engineering Chemistry Research · doi:10.1021/ie501454e · Cited by 11
Characteristics-based sectional modeling of aerosol nucleation and condensation
Frederix, E. M. A., Stanic, M., Kuczaj, A. K., Nordlund, M., & Geurts, B. J. (2016) · Journal of Computational Physics · doi:10.1016/j.jcp.2016.09.005 · Cited by 11
Limousin, E., González, E., Martínez‐Tong, D. E., Ballard, N., & Asúa, J. M. (2020) · Chemical Engineering Journal · doi:10.1016/j.cej.2020.125891 · Cited by 11
A Population Balance Model for Emulsion Behavior of Alkaline Water–Heavy Oil Systems in Bulk Phase
Zhao, Z., Xi, Z., Jia, N., & Yang, D. T. (2021) · Energy & Fuels · doi:10.1021/acs.energyfuels.1c00538 · Cited by 11
The Solution of Population Balance Equations
Ramkrishna, D. (2000) · Elsevier eBooks · doi:10.1016/b978-012576970-9/50005-9 · Cited by 11
Self-citationJia, Z., Wu, H., Xie, & Morbidelli, M. (2007) · Langmuir · doi:10.1021/la7013013 · Cited by 11
Borne, S. L., & Shahmuradyan, L. (2016) · Applied Numerical Mathematics · doi:10.1016/j.apnum.2016.02.009 · Cited by 11
Huang, G., Pan, Z., & Wang, Y. (2019) · Process Safety and Environmental Protection · doi:10.1016/j.cherd.2019.11.037 · Cited by 11
Catalytic Degradation of High-Density Polyethylene in a Reactive Extruder
Wallis, M. D., Sarathy, S., Bhatia, S. K., Massarotto, P., Kosior, E., & Mercier, A. (2008) · Industrial & Engineering Chemistry Research · doi:10.1021/ie0714450 · Cited by 11
Population balance modelling of an electrocoalescer
Sharma, E., & Thaokar, R. (2023) · Chemical Engineering Science · doi:10.1016/j.ces.2023.119276 · Cited by 10
García-Oliver, J. M., Pastor, J. M., Olmeda, I., Kalbhor, A., Mira, D., & van Oijen, J. A. (2023) · Combustion and Flame · doi:10.1016/j.combustflame.2023.113198 · Cited by 10
Farajzadehahary, K., Hamzehlou, S., Ballard, N., & Asúa, J. M. (2024) · Chemical Engineering Journal · doi:10.1016/j.cej.2024.150681 · Cited by 10
Zhang, X., Wang, X., Zeng, Q., Ruan, S., & Luo, Z. (2025) · AIChE Journal · doi:10.1002/aic.70056 · Cited by 10
Mechanistic modelling of Chinese hamster ovary cell clarification using acoustic wave separator
Banerjee, S., Afzal, M. A., Chokshi, P., & Rathore, A. S. (2021) · Chemical Engineering Science · doi:10.1016/j.ces.2021.116894 · Cited by 10
Simulation of micro-behaviors including nucleation, growth, and aggregation in particle system
Gu, Z., Su, J., Jiao, J., & Xu, X. Y. (2009) · Science China Chemistry · doi:10.1007/s11426-009-0014-2 · Cited by 10
Kumar, L., Pougatch, K., Salcudean, M., Grace, J. R., Grecov, D., & McMillan, J. (2017) · Powder Technology · doi:10.1016/j.powtec.2017.08.016 · Cited by 10
Babakhani, P., Bridge, J., Phenrat, T., Doong, R., & Whittle, K. R. (2018) · Environmental Science Nano · doi:10.1039/c8en00443a · Cited by 10
Inside the Phenomenological Aspects of Wet Granulation: Role of Process Parameters
Simone, V. D., Caccavo, D., Dalmoro, A., Lamberti, G., D’Amore, M., & Barba, A. A. (2018) · InTech eBooks · doi:10.5772/intechopen.79840 · Cited by 10
Analysing the effect of screw configuration using a stochastic twin-screw granulation model
McGuire, A. D., Mosbach, S., Reynolds, G., Patterson, R. I. A., Bringley, E. J., Eaves, N. A., Dreyer, J. A. H., & Kraft, M. (2019) · Chemical Engineering Science · doi:10.1016/j.ces.2019.03.078 · Cited by 10
Pal, K., Ramkrishna, D., & Nagy, Z. K. (2020) · Industrial & Engineering Chemistry Research · doi:10.1021/acs.iecr.9b05583 · Cited by 10
Self-citationStudy of industrial titania synthesis using a hybrid particle-number and detailed particle model
Boje, A., Akroyd, J., Sutcliffe, S., & Kraft, M. (2020) · Chemical Engineering Science · doi:10.1016/j.ces.2020.115615 · Cited by 10
“Popular numerical methods for solving population balance equations include momentbased [19, 38, 40], sectional [24, 29, 59] and Monte Carlo [2, 13, 27, 37, 49, 65] treatments [53].”
MethodBal, V., & Peters, B. (2020) · Crystal Growth & Design · doi:10.1021/acs.cgd.0c01047 · Cited by 10
Valarini, O., Cardoso, F. A. R., de Souza, G. B. M., Giufrida, W. M., & Cardozo‐Filho, L. (2021) · Asia-Pacific Journal of Chemical Engineering · doi:10.1002/apj.2672 · Cited by 10
Skorych, V., Buchholz, M., Dosta, M., Baust, H. K., Gleiß, M., Haus, J., Weis, D., Hammerich, S., Kiedorf, G., Asprion, N., et al. (2022) · Processes · doi:10.3390/pr10102140 · Cited by 10
“Fixed pivot technique [49] was used to numerically solve Equation (22).”
MethodNumerical analysis of flow in a highly efficient flotation column
Gong, M., Li, C., & Li, Z. (2014) · Asia-Pacific Journal of Chemical Engineering · doi:10.1002/apj.1849 · Cited by 10
Population balance modelling for subcooled boiling flow of liquid nitrogen in a vertical tube
Wang, S., Wen, J., Li, Y., Wang, S., & Li, Y. (2013) · International Journal of Heat and Mass Transfer · doi:10.1016/j.ijheatmasstransfer.2013.01.044 · Cited by 10
Stork, M. M., Tousain, R. L., Wieringa, J., & Bosgra, O. H. (2003) · Computers & Chemical Engineering · doi:10.1016/s0098-1354(03)00135-2 · Cited by 10
“The continuous PBE is discretized according to the method as described in Kumar and Ramkrishna (1996). The discretized states are denoted as Ni ,b (t ) (m (3)) and Ni ,l(t) (m (3)), respectively.”
MethodDetermination of coalescence functions in liquid–liquid dispersions
Ruiz, M. C., & Padilla, R. (2005) · Hydrometallurgy · doi:10.1016/j.hydromet.2005.06.015 · Cited by 10
Maindarkar, S. N., & Henson, M. A. (2013) · IFAC Proceedings Volumes · doi:10.3182/20131218-3-in-2045.00045 · Cited by 10
An innovative numerical approach for simulation of emulsion formation in a Microfluidizer
Galooyak, S. S., Dabir, B., & Zolfaghari, M. (2015) · Colloids and Surfaces A Physicochemical and Engineering Aspects · doi:10.1016/j.colsurfa.2015.09.059 · Cited by 10
Fei, W., Wang, L., Chen, G., & Zhu, D. (2020) · Applied Sciences · doi:10.3390/app10165648 · Cited by 10
“[5] investigated the effect of coalescence and breakup of oil droplet on the size distribution by using the population balance model, and further studied the flow behavior of liquid–liquid system from mechanism.”
MethodChapter 18 The Linear Breakage Equation: From Fundamental Issues to Numerical Solution Techniques
Kostoglou, M. (2007) · Handbook of powder technology · doi:10.1016/s0167-3785(07)12021-2 · Cited by 10
Sun, N., & Immanuel, C. D. (2005) · Transactions of the Institute of Measurement and Control · doi:10.1191/0142331205tm153oa · Cited by 10
Consideration of bottleneck effect of entire energy spectrum in bubble coalescence simulation
Gong, S., & Gao, N. (2021) · Chemical Engineering Science · doi:10.1016/j.ces.2021.116501 · Cited by 9
Simulated Dynamic Optical Response Strategy for Model Identification of Metal Colloid Synthesis
Irizarry, R. (2010) · Industrial & Engineering Chemistry Research · doi:10.1021/ie100644h · Cited by 9
Mojumder, J. C., Mitchell, T. R., Aminossadati, S. M., & Leonardi, C. R. (2023) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2023.121944 · Cited by 9
A population balance model for cosmetic emulsion design: A multiscale approach
Calvo, F., Gómez, J. M., Ricardez‐Sandoval, L., & Álvarez, Ó. (2024) · Chemical Engineering Science · doi:10.1016/j.ces.2024.119737 · Cited by 9
Erabit, N., Ndoye, F.-T., Álvarez, G., & Flick, D. (2014) · Journal of Food Engineering · doi:10.1016/j.jfoodeng.2014.07.006 · Cited by 9
An Efficient Numerical Method for Solving a Model Describing Crystallization of Polymorphs
Qamar, S., Noor, S., & Seidel‐Morgenstern, A. (2010) · Industrial & Engineering Chemistry Research · doi:10.1021/ie9018353 · Cited by 9
Mostafaei, P., & Rajabi-Hamane, M. (2016) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2016.10.012 · Cited by 9
“The problem with most the PBE solvers including modified cell average technique (Mostafaei et al., 2015) and its predecessors cell average technique (Kumar et al., 2008) and FPT (Kumar and Ramkrishna, 1996) is that they cannot be used in high amount of time, because modeling of this region is hard due to its unique co…”
BackgroundMethodInfluentialCFD for the Design and Optimization of Slurry Bubble Column Reactors
Basha, O. M., & Morsi, B. I. (2018) · InTech eBooks · doi:10.5772/intechopen.71361 · Cited by 9
“Assuming that each bubble class travels at the same mean algebraic velocity, the individual number density of a bubble class i can be expressed as [42]:”
BackgroundApplication of Transformation Matrices to the Solution of Population Balance Equations
Skorych, V., Das, N., Dosta, M., Kumar, J., & Heinrich, S. (2019) · Processes · doi:10.3390/pr7080535 · Cited by 9
Gisselbrecht, M., Kroll-Rabotin, J.-S., & Bellot, J. (2019) · Metallurgical Research & Technology · doi:10.1051/metal/2019006 · Cited by 9
Xing, J., Groth, C. P. T., & Hu, J. T. C. (2019) · Combustion Science and Technology · doi:10.1080/00102202.2019.1678375 · Cited by 9
“Coagulation is treated in this study with the fi xed pivot technique (FPT) of Kumar and Ramkrishna (Kumar and Ramkrishna 1996) that allows the conservation of both total density number and total mass (or volume) with where δ j ; k is the Kronecker delta tensor and β i ; k (or β j ; k ) is the agglomeration frequency.”
Simulation of Colloidal Stability and Aggregation Tendency of Magnetic Nanoflowers in Biofluids
Neofytou, P., Theodosiou, M., Krokidis, M. G., & Efthimiadou, E. Κ. (2021) · Modelling—International Open Access Journal of Modelling in Engineering Science · doi:10.3390/modelling3010002 · Cited by 9
“[10] used the Kumar and Ramkrishna [5] method, also taking into account the DLVO theory, for studying the aggregation behavior of submicron-sized particles of praseodymium-doped zirconium silicate, a ceramic pigment, in an aqueous suspension.”
MethodInfluentialWu, S., Yang, S., Tay, K. L., Yang, W., & Jia, M. (2021) · Chemical Engineering Science · doi:10.1016/j.ces.2021.117333 · Cited by 9
Procedures and Guidelines for Inputting and Output Smoothening of Kinetic Monte Carlo Distributions
Keer, L. D., Edeleva, M., Figueira, F. L., Reyes, P., D’hooge, D., & Steenberge, P. H. M. V. (2022) · Advanced Theory and Simulations · doi:10.1002/adts.202100580 · Cited by 9
On the design of compact hydraulic pipe flocculators using CFD-PBE
Bilde, K. G., Hærvig, J., & Sørensen, K. (2023) · Process Safety and Environmental Protection · doi:10.1016/j.cherd.2023.04.045 · Cited by 9
Solution of the population balance equation using parallel adaptive cubature on GPUs
dos Santos, F. P., Senocak, I., Fávero, J. L., & Lage, P. L. C. (2013) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2013.04.012 · Cited by 9
“…of robust and accurate methods for solving the PBE Attarakih, Drumm, & Bart, 2009; Bove, Solberg, & Hjertager, 2005; ox, Laurent, & Massot, 2008; Kumar & Ramkrishna, 1996; Lage, 011; Massot, Laurent, Kah, & Chaisemartin, 2010; Strumendo & rastoopour, 2008; Yuan, Laurent, & Fox, 2012) has been…”
Population Balance Models for Pharmaceutical Processes
Chaudhury, A., Sen, M., Barrasso, D., & Ramachnadran, R. (2015) · Methods in pharmacology and toxicology · doi:10.1007/978-1-4939-2996-2_2 · Cited by 9
“Direct discretization is a straightforward approach to obtain an accurate estimate of the particle size distribution, but a disadvantage associated with this methods is the inaccuracy with tracking the moments [41].”
MethodOn the approximate solutions of fragmentation equations
Saha, J., Kumar, J., & Heinrich, S. (2018) · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rspa.2017.0541 · Cited by 9
Error analysis in stochastic solutions of population balance equations
Zhou, K., Jiang, X. G., & Chan, T. L. (2019) · Applied Mathematical Modelling · doi:10.1016/j.apm.2019.11.045 · Cited by 9
Aggregate Structure Evolution for Size-Dependent Aggregation by Means of Monte Carlo Simulations
Briesen, H. (2007) · KONA Powder and Particle Journal · doi:10.14356/kona.2007016 · Cited by 9
Integral approximation—an approach to reduced models for particulate processes
Motz, S., Mannal, S., & Gilles, E. D. (2004) · Chemical Engineering Science · doi:10.1016/j.ces.2003.08.027 · Cited by 9
Kim, J., & Kramer, T. A. (2006) · Colloids and Surfaces A Physicochemical and Engineering Aspects · doi:10.1016/j.colsurfa.2006.06.020 · Cited by 9
Computational Fluid Dynamics for Bioreactor Design
Rathore, A. S., Shekhawat, L. K., & Loomba, V. (2016) · doi:10.1002/9783527683369.ch10 · Cited by 9
CFD investigation of bubble breakup and coalescence in a rectangular pool-scrubbing column
Li, S., & Liao, Y. (2024) · Nuclear Engineering and Design · doi:10.1016/j.nucengdes.2024.113342 · Cited by 10
Kushwah, P., & Saha, J. (2024) · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rspa.2024.0293 · Cited by 8
Colombo, M., & Fairweather, M. (2024) · International Journal of Multiphase Flow · doi:10.1016/j.ijmultiphaseflow.2024.105112 · Cited by 9
Eulerian Multiphase Population Balance Model of Atomizing, Swirling Flows
Rayapati, N. P., Panchagnula, M. V., Peddieson, J., Short, J., & Smith, S. P. (2011) · International Journal of Spray and Combustion Dynamics · doi:10.1260/1756-8277.3.2.111 · Cited by 8
Ho, Y. K., Doshi, P., Yeoh, H. K., & Ngoh, G. C. (2015) · Industrial & Engineering Chemistry Research · doi:10.1021/acs.iecr.5b01667 · Cited by 8
Population Balance Models for Particulate Flows in Porous Media: Breakage and Shear-Induced Events
Icardi, M., Pasquale, N. D., Crevacore, E., Marchisio, D. L., & Bäbler, M. U. (2022) · Transport in Porous Media · doi:10.1007/s11242-022-01793-5 · Cited by 8
“24 which represents the full population balance model is commonly solved using two approaches, the quadrature-based method of moments (QMOM) (McGraw 1997) and the method of classes (Kumar and Ramkrishna 1996).”
MethodFlow fields control for bubble refinement induced by electromagnetic fields
Wang, L., Liu, Z., He, M. Y., Liu, X., Sano, M., Zhao, L., & Wang, Q. (2021) · Journal of Iron and Steel Research International · doi:10.1007/s42243-021-00627-w · Cited by 9
Experimental and Numerical Study on the Gravitational Deposition and Coagulation of Aerosols
Yu, H., Gu, H., Sun, Z., Zhou, Y., Chen, J., & Li, Y. (2022) · Frontiers in Energy Research · doi:10.3389/fenrg.2022.840503 · Cited by 8
Terghini, I., Hasseine, A., Caccavo, D., & Bart, H. J. (2022) · Process Safety and Environmental Protection · doi:10.1016/j.cherd.2022.11.028 · Cited by 8
Xie, M. (2023) · Communications in Nonlinear Science and Numerical Simulation · doi:10.1016/j.cnsns.2023.107271 · Cited by 8
Comparison of population balance models for polydisperse bubbly flow
Habiyaremye, V., Kuerten, J. G. M., & Frederix, E. M. A. (2023) · Chemical Engineering Science · doi:10.1016/j.ces.2023.118932 · Cited by 8
Maharana, A., Sehrawat, P., Das, A., Kumar, J., & Sarkar, D. (2023) · Process Safety and Environmental Protection · doi:10.1016/j.cherd.2023.10.049 · Cited by 8
Gong, S., Gao, N., & Han, L. (2023) · Chemical Engineering Journal · doi:10.1016/j.cej.2023.147798 · Cited by 8
Basavarajappa, M., Alopaeus, V., Yoon, R., & Mišković, S. (2017) · Minerals Engineering · doi:10.1016/j.mineng.2017.01.015 · Cited by 8
Garcı́a, A. A., & Fernando Betancourt, C. (2019) · Chemical Engineering Science · doi:10.1016/j.ces.2019.07.034 · Cited by 8
“i i i i i i N F z F N t F t H z z i M t z N v N v (21)”
Modeling of ex-situ dissolution for geologic sequestration of carbon dioxide in aquifers
Cao, F., Eskin, D., & Leonenko, Y. (2019) · Journal of Petroleum Science and Engineering · doi:10.1016/j.petrol.2019.106835 · Cited by 8
Ghorbani, M., & Maddahian, R. (2020) · Journal of Petroleum Science and Engineering · doi:10.1016/j.petrol.2020.107665 · Cited by 8
Cronin, K., Ortiz, F. J. G., Ring, D., & Zhang, F. (2020) · Powder Technology · doi:10.1016/j.powtec.2020.10.083 · Cited by 8
Reconstruction-based Monte Carlo method for accurate and efficient breakage simulation
Chen, Y., Ding, J., Xia, X., & Weng, P. (2022) · Powder Technology · doi:10.1016/j.powtec.2022.117318 · Cited by 8
Saha, J., & Kumar, J. (2015) · International Journal of Advances in Engineering Sciences and Applied Mathematics · doi:10.1007/s12572-015-0128-z · Cited by 8
A bivariate population balance model for the microbial production of poly(3-hydroxybutyrate)
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Metadata
- Authors
- Kumar, S., & Ramkrishna, D.
- Affiliations
- Purdue University West Lafayette (US)
- Corresponding author
- Ramkrishna, D.
- Venue
- Chemical Engineering Science
- Publisher
- Elsevier BV
- Published
- 1996-04
- Volume
- 51
- Issue
- 8
- Pages
- 1311-1332
- ISSN
- 0009-2509 (ISSN-L)
- OpenAlex
- W4249613604
- Cited by
- 1,109
- References
- 21
- Citations by year
- 2026: 55 · 2025: 50 · 2024: 36 · 2023: 48 · 2022: 47 · 2021: 61 · 2020: 52 · 2019: 67 · 2018: 51 · 2017: 48 · 2016: 44 · 2015: 43 · 2014: 55 · 2013: 57 · 2012: 29
- FWCI
- 7.75
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Chemical Engineering Science (publishedVersion)
- Topics
- Physical Sciences › Engineering › Computational Mechanics › Granular flow and fluidized beds
- Physical Sciences › Chemical Engineering › Fluid Flow and Transfer Processes › Fluid Dynamics and Mixing
- Physical Sciences › Engineering › Mechanical Engineering › Mineral Processing and Grinding
- Keywords
- population balance equation, discretization, aggregation, breakage, mesh refinement, representative volume element, aerosol dynamics
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