Mehakpreet Singh
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Developing ANN-Kriging hybrid model based on process parameters for prediction of mean residence time distribution in twin-screw wet granulation
HY Ismail, M Singh, S Darwish, M Kuhs, S Shirazian, DM Croker, ...
Powder Technology 343, 568-577, 2019
Multi-dimensional population balance modelling of pharmaceutical formulations for continuous twin-screw wet granulation: Determination of liquid distribution
S Shirazian, HY Ismail, M Singh, R Shaikh, DM Croker, GM Walker
International Journal of Pharmaceutics 566, 352-360, 2019
Haar Wavelet Quasilinearization Method for Numerical Solution of Emden-Fowler Type Equations
R Singh, V Guleria, M Singh
Mathematics and Computers in Simulation 174, 123-133, 2020
Analytical Approach For Solving Population Balances: A Homotopy Perturbation Method
G Kaur, R Singh, M Singh, J Kumar, T Matsoukas
Journal of Physics A: Mathematical and Theoretical 52 (38), 385201, 2019
Compartmental approach for modelling twin-screw granulation using population balances
HY Ismail, S Shirazian, M Singh, D Whitaker, AB Albadarin, G Walker
International Journal of Pharmaceutics 576, 118737, 2019
A volume‐consistent discrete formulation of aggregation population balance equations
M Singh, J Kumar, A Bück, E Tsotsas
Mathematical Methods in the Applied Sciences 39 (9), 2275-2286, 2015
Challenges and Opportunities in Modelling Wet Granulation in Pharmaceutical Industry – a Critical Review
M Singh, S Shirazian, VV Ranade, G Walker, A Kumar
Powder Technology 403, 117380, 2022
Complete Two Dimensional Population Balance Modelling of Wet Granulation in Twin Screw
HY Ismail, M Singh, AB Albadarin, G Walker
International Journal of Pharmaceutics 591, 120018, 2020
Development of High-Performance Hybrid ANN-Finite Volume Scheme (ANN-FVS) for Simulation of Pharmaceutical Continuous Granulation
HY Ismail, M Singh, AB Albadarin, G Walker, S Shirazian
Chemical Engineering Research and Design 163, 320-326, 2020
Inverse problems in population balances. Determination of aggregation kernel by weighted residuals
J Chakraborty, J Kumar, M Singh, A Mahoney, D Ramkrishna
Industrial & Engineering Chemistry Research 54 (42), 10530-10538, 2015
Two-compartment modeling and dynamics of top-sprayed fluidized bed granulator
G Kaur, M Singh, T Matsoukas, J Kumar, T De Beer, I Nopens
Applied Mathematical Modelling 68, 267-280, 2019
Mathematical modelling and simulation of a spray fluidized bed granulator
G Kaur, M Singh, J Kumar, T De Beer, I Nopens
Processes 6 (10), 195, 2018
An improved and efficient finite volume scheme for bivariate aggregation population balance equation
M Singh, J Kumar, A Bück, E Tsotsas
Journal of Computational and Applied Mathematics 308, 83-97, 2016
Mass-based Finite Volume Scheme for Aggregation, Growth and Nucleation Population Balance Equation
M Singh, HY Ismail, T Matsoukas, AB Albadarin, G Walker
Proceedings of the Royal Society A. Mathematical, Physical and Engineering …, 2019
Numerical algorithm for solution of the system of Emden–Fowler type equations
R Singh, G Singh, M Singh
International Journal of Applied and Computational Mathematics 7 (4), 136, 2021
Accurate and Efficient Approximations for Generalized Population Balances Incorporating Coagulation and Fragmentation
M Singh
Journal of Computational Physics 435, 110215, 2021
On the Use of Sectional Techniques for the Solution of Depolymerization Population Balances: Results on a Discrete-Continuous Mesh
F Ahamed, M Singh, HS Song, P Doshi, CW Ooi, YK Ho
Advanced Powder Technology 31 (7), 2669-2679, 2020
Finite Volume Approximation of Nonlinear Agglomeration Population Balance Equation on Triangular Grid
M Singh, HY Ismail, R Singh, AB Albadarin, G Walker
Journal of Aerosol Science 137, 105430, 2019
Effect of different discretizations on the numerical solution of 2D aggregation population balance equation
M Singh, K Vuik, G Kaur, HJ Bart
Powder Technology 342, 972-984, 2019
A comparative study of different discretizations for solving bivariate aggregation population balance equation
M Singh, D Ghosh, J Kumar
Applied Mathematics and Computation 234, 434-451, 2014
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