1 |
Low-temperature evaporation of continuous pharmaceutical process streams in a bubble column Roche P, Glennon B, Jones RC, Donnellan P Chemical Engineering Research & Design, 166, 74, 2021 |
2 |
A very boring 120 h: 15 million tablets under a continuous state of control Holman J, Tantuccio A, Palmer J, van Doninck T, Meyer R Powder Technology, 382, 208, 2021 |
3 |
Model predictive control for continuous pharmaceutical feeding blending units Celikovic S, Kirchengast M, Rehrl J, Kruisz J, Sacher S, Khinast J, Horn M Chemical Engineering Research & Design, 154, 101, 2020 |
4 |
Linking process variables to residence time distribution in a hybrid flowsheet model for continuous direct compression Galbraith SC, Park S, Huang Z, Liu H, Meyer RF, Metzger M, Flamm MH, Hurley S, Yoon S Chemical Engineering Research & Design, 153, 85, 2020 |
5 |
Monitoring lubricant addition in pharmaceutical tablet manufacturing through passive vibration measurements in a V-blender Cameron A, Briens L Powder Technology, 364, 708, 2020 |
6 |
Mapping key process parameters to the performance of a continuous dry powder blender in a continuous direct compression system Palmer J, Reynolds GK, Tahir F, Yadav IK, Meehan E, Holman J, Bajwa G Powder Technology, 362, 659, 2020 |
7 |
Advanced process design and understanding of continuous twin-screw granulation via implementation of in-line process analytical technologies Meng W, Roman-Ospino AD, Panikar SS, O'Callaghan C, Gilliam SJ, Ramachandran R, Muzzio FJ Advanced Powder Technology, 30(4), 879, 2019 |
8 |
Coupling of the population balance equation into a two-phase model for the simulation of combined cooling and antisolvent crystallization using OpenFOAM Farias LFI, de Souza JA, Braatz RD, da Rosa CA Computers & Chemical Engineering, 123, 246, 2019 |
9 |
Design space maintenance by online model adaptation in pharmaceutical manufacturing Bano G, Facco P, Ierapetritou M, Bezzo F, Barolo M Computers & Chemical Engineering, 127, 254, 2019 |
10 |
Developing ANN-Kriging hybrid model based on process parameters for prediction of mean residence time distribution in twin-screw updates wet granulation Ismail HY, Singh M, Darwish S, Kuhs M, Shirazian S, Croker DM, Khraisheh M, Albadarin AB, Walker GM Powder Technology, 343, 568, 2019 |