Search Results - "DRALLMEIER, James A"

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  1. 1

    Local prediction of Laser Powder Bed Fusion porosity by short-wave infrared imaging thermal feature porosity probability maps by Lough, Cody S., Liu, Tao, Wang, Xin, Brown, Ben, Landers, Robert G., Bristow, Douglas A., Drallmeier, James A., Kinzel, Edward C.

    Published in Journal of materials processing technology (01-04-2022)
    “…Local thermal history can significantly vary in parts during metal Additive Manufacturing (AM), leading to local defects. However, the sequential…”
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    Journal Article
  2. 2

    Reinforcement-Learning-Based Dual-Control Methodology for Complex Nonlinear Discrete-Time Systems With Application to Spark Engine EGR Operation by Shih, P., Kaul, B.C., Jagannathan, S., Drallmeier, J.A.

    Published in IEEE transactions on neural networks (01-08-2008)
    “…A novel reinforcement-learning-based dual-control methodology adaptive neural network (NN) controller is developed to deliver a desired tracking performance…”
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    Journal Article
  3. 3

    Reinforcement-Learning-Based Output-Feedback Control of Nonstrict Nonlinear Discrete-Time Systems With Application to Engine Emission Control by Shih, P., Kaul, B.C., Jagannathan, S., Drallmeier, J.A.

    “…A novel reinforcement-learning-based output adaptive neural network (NN) controller, which is also referred to as the adaptive-critic NN controller, is…”
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    Journal Article
  4. 4

    Neural Network Controller Development and Implementation for Spark Ignition Engines With High EGR Levels by Vance, J.B., Singh, A., Kaul, B.C., Jagannathan, S., Drallmeier, J.A.

    Published in IEEE transactions on neural networks (01-07-2007)
    “…Past research has shown substantial reductions in the oxides of nitrogen (NO x ) concentrations by using 10% -25% exhaust gas recirculation (EGR) in spark…”
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    Journal Article
  5. 5

    Output Feedback Controller for Operation of Spark Ignition Engines at Lean Conditions Using Neural Networks by Vance, J.B., Kaul, B.C., Jagannathan, S., Drallmeier, J.A.

    “…Spark ignition (SI) engines operating at very lean conditions demonstrate significant nonlinear behavior by exhibiting cycle-to-cycle bifurcation of heat…”
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    Journal Article
  6. 6

    Effect of liquid viscosity and surface tension on mass separation of shear-driven liquid film at a sharp corner by Sadeghizadeh, Zahra, Drallmeier, James A.

    Published in International journal of multiphase flow (01-02-2019)
    “…•Two mechanisms impact the separation of shear-driven liquid film: inertia of the uniform film and formation of LAWs. This study shows that how liquid film…”
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    Journal Article
  7. 7

    Local prediction of Laser Powder Bed Fusion porosity by short-wave infrared imaging thermal feature porosity probability maps by Lough, Cody S., Liu, Tao, Wang, Xin, Brown, Ben, Landers, Robert G., Bristow, Douglas A., Drallmeier, James A., Kinzel, Edward C.

    Published in Journal of materials processing technology (21-12-2021)
    “…We report that local thermal history can significantly vary in parts during metal Additive Manufacturing (AM), leading to local defects. However, the…”
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    Journal Article
  8. 8

    Correlation of SWIR imaging with LPBF 304L stainless steel part properties by Lough, Cody S., Wang, Xin, Smith, Christopher C., Landers, Robert G., Bristow, Douglas A., Drallmeier, James A., Brown, Ben, Kinzel, Edward C.

    Published in Additive manufacturing (01-10-2020)
    “…In the Laser Powder Bed Fusion (LPBF) process, the local thermal history can vary significantly over a part as the heat transfer characteristics and the laser…”
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    Journal Article
  9. 9

    Reinforcement Learning based Output-Feedback Control of Nonlinear Nonstrict Feedback Discrete-time Systems with Application to Engines by Shih, P., Vance, J., Kaul, B., Jagannathan, S., Drallmeier, J.A.

    Published in 2007 American Control Conference (01-07-2007)
    “…A novel reinforcement-learning based output-adaptive neural network (NN) controller, also referred as the adaptive-critic NN controller, is developed to track…”
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    Conference Proceeding
  10. 10
  11. 11

    Neural network-based output feedback controller for lean operation of spark ignition engines by Vance, J.B., He, P., Kaul, B., Jagannathan, S., Drallmeier, J.A.

    Published in 2006 American Control Conference (2006)
    “…Spark ignition (SI) engines running at very lean conditions demonstrate significant nonlinear behavior by exhibiting cycle-to-cycle dispersion of heat release…”
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    Conference Proceeding
  12. 12

    Fuel Droplet Entrainment Studies for Minimization of Cold-Start Wall-Wetting by Nemecek, Lisa M., Wagner, Robert M., Drallmeier, James A.

    Published in SAE transactions (01-01-1995)
    “…A method of investigating intake-port wall-wetting via liquid phase entrainment into the gas phase was developed using a single-cylinder port fuel injected CFR…”
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    Journal Article