Modelling, Simulation and Optimization of Industrial Fixed Bed Catalytic Reactors

2022 ◽  
Author(s):  
S. S. E. H. Elnashaie ◽  
S. S. Elshishini
Keyword(s):  
Fixed Bed ◽  
Catalytic Reactors ◽  
Simulation And Optimization ◽  
Modelling Simulation

scholarly journals Suiting Dynamic Models of Fixed-Bed Catalytic Reactors for Computer-Based Applications

Engineering ◽  
2011 ◽  
Vol 03 (07) ◽  
pp. 778-785 ◽  
Author(s):  
Eduardo Coselli Vasco de Toledo ◽  
Edvaldo Rodrigo Morais ◽  
Delba Nisi Cosme Melo ◽  
Adriano Pinto Mariano ◽  
João F. C. A. Meyer ◽  
...  
Keyword(s):  
Dynamic Models ◽  
Fixed Bed ◽  
Catalytic Reactors ◽  
Computer Based

Fixed-bed gas-solid catalytic reactors

2016 ◽  
pp. 53-79
Author(s):  
João P. Lopes ◽  
Alírio E. Rodrigues
Keyword(s):  
Fixed Bed ◽  
Catalytic Reactors

Neurosurgery planning based on automated image recognition and optimal path design

2021 ◽  
Vol 69 (8) ◽  
pp. 708-721
Author(s):  
Annika Hackenberg ◽  
Karl Worthmann ◽  
Torben Pätz ◽  
Dörthe Keiner ◽  
Joachim Oertel ◽  
...  
Keyword(s):  
Optimal Path ◽  
Planning Problem ◽  
Simulation And Optimization ◽  
Ellipsoidal Approximations ◽  
Set Up ◽  
The Brain ◽  
Path Planning Problem ◽  
Automated Image Recognition ◽  
Modelling Simulation

Abstract Stereotactic neurosurgery requires a careful planning of cannulae paths to spare eloquent areas of the brain that, if damaged, will result in loss of essential neurological function such as sensory processing, linguistic ability, vision, or motor function. We present an approach based on modelling, simulation, and optimization to set up a computational assistant tool. Thereby, we focus on the modeling of the brain topology, where we construct ellipsoidal approximations of voxel clouds based on processed MRI data. The outcome is integrated in a path-planning problem either via constraints or by penalization terms in the objective function. The surgical planning problem with obstacle avoidance is solved for different types of stereotactic cannulae using numerical simulations. We illustrate our method with a case study using real MRI data.

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