Sökning: "particle filter"

Visar resultat 1 - 5 av 142 avhandlingar innehållade orden particle filter.

  1. 1. Eulerian-Lagrangian modeling of particle motion in exhaust gas aftertreatment systems

    Författare :Henrik Ström; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; urea-SCR; particle trapping; flow-through filter; urea decomposition; diesel particulate matter; particle motion; particle filter; AdBlue-spray; Eulerian-Lagrangian modeling;

    Sammanfattning : In the work to design and optimize new aftertreatment system devices for NOx reduction and particulate matter removal in lean engine exhaust (such as diesel exhaust), it is of great help to be able to perform quick, robust and reliable computer simulations of system performance. A suitable platform for such simulations is Computational Fluid Dynamics (CFD) software. LÄS MER

  2. 2. Particle concentrations : analysis methods for urban runoff

    Författare :Kerstin Nordqvist; Luleå tekniska universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; VA-teknik; Urban Water Engineering;

    Sammanfattning : Urban runoff often contains high concentrations of particles. Pollutants that adsorbs to surfaces of particulate material will be transported to receiving waters or a sewage treatment plant. For the recipient, the particles in the runoff are a significant cause of water quality impairment. LÄS MER

  3. 3. Estimation of Nonlinear Dynamic Systems : Theory and Applications

    Författare :Thomas B. Schön; Fredrik Gustafsson; Simon Godsill; Linköpings universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Nonlinear estimation; system identification; Kalman filter; particle filter; marginalized particle filter; expectation maximization; automotive applications; Automatic control; Reglerteknik;

    Sammanfattning : This thesis deals with estimation of states and parameters in nonlinear and non-Gaussian dynamic systems. Sequential Monte Carlo methods are mainly used to this end. These methods rely on models of the underlying system, motivating some developments of the model concept. LÄS MER

  4. 4. Techniques for Efficient Implementation of FIR and Particle Filtering

    Författare :Syed Asad Alam; Oscar Gustafsson; Kent Palmkvist; Yajun Yu; Linköpings universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; FIR filter; Particle filter; architecture; ASIC; FPGA;

    Sammanfattning : FIR filters occupy a central place many signal processing applications which either alter the shape, frequency or the sampling frequency of the signal. FIR filters are used because of their stability and possibility to have linear-phase but require a high filter order to achieve the same magnitude specifications as compared to IIR filters. LÄS MER

  5. 5. Mathematical and Experimental Study on Filtration of Solid Inclusions from Molten Aluminium and Steel

    Författare :Shahin Akbarnejad; Pär Jönsson; Dong-Yuan Sheng; Björn Glaser; Torbjörn Carlberg; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Filtration; Porous Media; Permeability; Water modeling; Fluid Bypassing; Stacked Filters; Ceramic Foam Filter; Monolithic Ceramic Filter; Alumina CFF; Particle Tracing; Aluminum Filtration; Steel Filtration; CFD; Alumina Inclusion; Filtrering; porösa medier; permeabilitet; vattenmodellering; vätskebypass; staplade filter; keramiskt skumfilter; monolitiskt keramiskt filter; aluminiumoxid CFF; partikelspårning; aluminiumfiltrering; stålfiltrering; CFD; aluminiumoxidinkludering; Materials Science and Engineering; Teknisk materialvetenskap;

    Sammanfattning : Aluminum and steel have been the most produced metal and alloy, respectively, for many years. Their extensive use in various industries, their fundamental role in our everyday life, and their excellent recycling characteristics are the major driving forces for development of their production towards more sustainable processes. LÄS MER