9 research outputs found

    On prediction of non-uniform temperature fields in heat analysis of aero engines using machine learning approach

    Get PDF
    Authors acknowledge support from the ESIF, EU Operational Programme Research, Develop ment and Education, and from the Center of Advanced Aerospace Technology (CZ.02.1.01/ 0.0/0.0/16 019/0000826), Faculty of Mechanical Engineering, Czech Technical University in Prague. This work was supported by the Grant Agency of the Czech Technical University in Prague, grant No. SGS22/151/OHK2/3T/12

    Sensitivity analysis of thermodynamical parameters on the thermal bowed rotor using 2D finite element model

    Get PDF
    CZ.02.1.01/0.0/0.0/16_019/0000826, SGS19/157/OHK2/3T/1

    About the appropriate neural network size for the engineering applications

    Get PDF
    This work was supported by the grant agency of the Czech Technical University in Prague, grant No. SGS22/148/OHK2/3T/12. Authors also acknowledge support from the ESIF, EU Operational Programme Research, Devel opment and Education, and from the Center of Advanced Aerospace Technology (CZ.02.1.01/ 0.0/0.0/16 019/0000826), Faculty of Mechanical Engineering, Czech Technical University in Prague

    On prediction of non-uniform temperature fields in heat analysis of aero engines using machine learning approach

    No full text
    Authors acknowledge support from the ESIF, EU Operational Programme Research, Develop ment and Education, and from the Center of Advanced Aerospace Technology (CZ.02.1.01/ 0.0/0.0/16 019/0000826), Faculty of Mechanical Engineering, Czech Technical University in Prague. This work was supported by the Grant Agency of the Czech Technical University in Prague, grant No. SGS22/151/OHK2/3T/12

    Sensitivity analysis of thermodynamical parameters on the thermal bowed rotor using 2D finite element model

    Get PDF
    CZ.02.1.01/0.0/0.0/16_019/0000826, SGS19/157/OHK2/3T/1

    About the appropriate neural network size for the engineering applications

    No full text
    This work was supported by the grant agency of the Czech Technical University in Prague, grant No. SGS22/148/OHK2/3T/12. Authors also acknowledge support from the ESIF, EU Operational Programme Research, Devel opment and Education, and from the Center of Advanced Aerospace Technology (CZ.02.1.01/ 0.0/0.0/16 019/0000826), Faculty of Mechanical Engineering, Czech Technical University in Prague

    A review of the structure and dynamics of nanoconfined water and ionic liquids via molecular dynamics simulation

    No full text
    corecore