Blar i SINTEF Industri på forfatter "Tabib, Mandar"
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A MULTI-DOMAIN 1D PARTICLE-REACTOR MODEL FOR PACKED BED REACTOR REACTOR APPLICATIONS
Tabib, Mandar; Cloete, Schalk Willem Petrus; Morud, John; Lysberg, Magne; Amini, Shahriar (Chapter, 2017)A validated multi-domain 1D particle-reactor model has been developed to simulate packed bed reactor operation. Two main components of the model are: (1) a particle model for simulating the radial distribution of chemical ... -
A multi-scale model for oxygen carrier selection and reactor design applied to packed bed chemical looping combustion
Tabib, Mandar; Morud, John; Johansen, Stein Tore; Amini, Shahriar (SINTEF Proceedings;1, Chapter, 2015)Proper selection of a catalyst shape (or a particle shape) can improve the performance of a gas-solid packed bed reactor. The particle shape affects the packing structure and the transport phenomena within the packed bed. ... -
A multi‐domain 1D particle‐reactor model for packed bed reactor applications
Tabib, Mandar; Cloete, Schalk; Morud, John; Lysberg, Magne; Amini, Shahriar (SINTEF Proceedings;2, Chapter; Conference object; Peer reviewed, 2017)A validated multi-domain 1D particle-reactor model has been developed to simulate packed bed reactor operation. Two main components of the model are: (1) a particle model for simulating the radial distribution of chemical ... -
Discovering Thermoelectric Materials Using Machine Learning: Insights and Challenges
Tabib, Mandar; Løvvik, Ole Martin; Johannessen, Kjetil Andre; Rasheed, Adil; Sagvolden, Espen; Rustad, Anne Marthine (Journal article; Peer reviewed, 2018)This work involves the use of combined forces of data-driven machine learning models and high fidelity density functional theory for the identification of new potential thermoelectric materials. The traditional method of ...