Reference : Control of Flame Spray Pyrolysis synthesis of Li4Ti5O12: Experimental and Computation...
Scientific congresses, symposiums and conference proceedings : Poster
Engineering, computing & technology : Materials science & engineering
Computational Sciences
http://hdl.handle.net/10993/21033
Control of Flame Spray Pyrolysis synthesis of Li4Ti5O12: Experimental and Computational study
English
Tsikourkitoudi, Vasiliki [Kingston University London > Faculty of Science - Engineering and Computing > > ; Technological Centre LUREDERRA]
Gavriliadis, Panagiotis [National Technical University of Athens > Department of Naval Architecture and Marine Engineering]
Bourantas, Georgios mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Lolas, Georgios [Technische Universität Dresden > Center for Advancing Electronics Dresden]
Bordas, Stéphane mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit > ; Cardiff University > School of Engineering]
Zhang, Tao [Kingston University London, > Faculty of Science - Engineering and Computing]
14-May-2015
Yes
International
European Materials Research Society (EMRS) Spring Meeting
11-15 May 2015
Lille
France
[en] Flame spray pyrolysis ; Lithium titanate ; Nanoparticles ; Population Balance Modeling
[en] Lithium titanate (Li4Ti5O12, LTO) is a promising anode material for the next generation of lithium ion batteries. Its physical properties and morphology (which consequently affect its electrochemical performance) highly depend on its synthesis method. Flame spray pyrolysis (FSP) is an attractive process for the controlled one-step synthesis of functional multicomponent oxides from low cost precursors. The main aim of this study is to control the growth process of LTO by FSP in order to maintain the desired particle properties. LTO nanoparticles of different sizes are synthesized by variation of the FSP processing conditions and characterized accordingly. Numerical simulations based on Population Balance Models are also implemented in order to investigate the evolution of primary and agglomerate particle growth.
http://hdl.handle.net/10993/21033

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