The Experts below are selected from a list of 696282 Experts worldwide ranked by ideXlab platform

Azita Emami - One of the best experts on this subject based on the ideXlab platform.

Saman Saeedi - One of the best experts on this subject based on the ideXlab platform.

Frank E Pfefferkorn - One of the best experts on this subject based on the ideXlab platform.

  • physics based interpretation of tool workpiece interface Temperature signals for detection of defect formation during friction stir welding
    Manufacturing letters, 2015
    Co-Authors: Amber Shrivastava, Clemens Dingler, Michael R Zinn, Frank E Pfefferkorn
    Abstract:

    Abstract The objective of the work is the reduction and eventual avoidance of post welding inspections that are currently needed to ensure defect-free welds. An analytical thermal model of the FSW process along with an analytical disturbance model is developed. This disturbance model relates defect formation to variations in the Measured Temperature and is based on experimental process identification. A dynamic disturbance observer computes an estimate of the disturbance signal, which is further processed in order to provide information about the presence of defects along the weld. Experiments for one kind of disturbance verify that the observer shows good tracking behavior.

  • physics based interpretation of tool workpiece interface Temperature signals for detection of defect formation during friction stir welding
    Manufacturing letters, 2015
    Co-Authors: Amber Shrivastava, Clemens Dingler, Michael R Zinn, Frank E Pfefferkorn
    Abstract:

    Abstract The objective of the work is the reduction and eventual avoidance of post welding inspections that are currently needed to ensure defect-free welds. An analytical thermal model of the FSW process along with an analytical disturbance model is developed. This disturbance model relates defect formation to variations in the Measured Temperature and is based on experimental process identification. A dynamic disturbance observer computes an estimate of the disturbance signal, which is further processed in order to provide information about the presence of defects along the weld. Experiments for one kind of disturbance verify that the observer shows good tracking behavior.

Amber Shrivastava - One of the best experts on this subject based on the ideXlab platform.

  • physics based interpretation of tool workpiece interface Temperature signals for detection of defect formation during friction stir welding
    Manufacturing letters, 2015
    Co-Authors: Amber Shrivastava, Clemens Dingler, Michael R Zinn, Frank E Pfefferkorn
    Abstract:

    Abstract The objective of the work is the reduction and eventual avoidance of post welding inspections that are currently needed to ensure defect-free welds. An analytical thermal model of the FSW process along with an analytical disturbance model is developed. This disturbance model relates defect formation to variations in the Measured Temperature and is based on experimental process identification. A dynamic disturbance observer computes an estimate of the disturbance signal, which is further processed in order to provide information about the presence of defects along the weld. Experiments for one kind of disturbance verify that the observer shows good tracking behavior.

  • physics based interpretation of tool workpiece interface Temperature signals for detection of defect formation during friction stir welding
    Manufacturing letters, 2015
    Co-Authors: Amber Shrivastava, Clemens Dingler, Michael R Zinn, Frank E Pfefferkorn
    Abstract:

    Abstract The objective of the work is the reduction and eventual avoidance of post welding inspections that are currently needed to ensure defect-free welds. An analytical thermal model of the FSW process along with an analytical disturbance model is developed. This disturbance model relates defect formation to variations in the Measured Temperature and is based on experimental process identification. A dynamic disturbance observer computes an estimate of the disturbance signal, which is further processed in order to provide information about the presence of defects along the weld. Experiments for one kind of disturbance verify that the observer shows good tracking behavior.

Yatao Ren - One of the best experts on this subject based on the ideXlab platform.

  • simultaneous estimation of internal Temperature field and boundary time dependent heat flux in absorbing and scattering media using the unscented kalman smoothing technique
    Journal of Quantitative Spectroscopy & Radiative Transfer, 2020
    Co-Authors: Shuang Wen, Yatao Ren, Juqi Zhang
    Abstract:

    Abstract Based on the future Measured Temperature, the Rauch-Tung-Striebel smoothing technique coupled with unscented Kalman filter is introduced to resolve the nonlinear inverse radiation-conduction heat transfer problem, which is nonlinear because of specific heat and thermal conductivity with Temperature and existence of the radiative heat transfer. For the direct process, the finite volume method is applied to calculate the energy equation and radiative transfer equation is computed by the discrete ordinate method. Based on the measurement Temperature signals of the right surface, the left surface time-dependent heat flux and interior Temperature in absorbing and scattering medium are retrieved in near real time by using the proposed method. The different number of the future Measured Temperature, measurement noise, and process noise covariance are applied to examine the feasibility and reliability of the present algorithm. All retrieval results show that the Rauch-Tung-Striebel smoothing technique coupled with unscented Kalman filter is accurate and stable. Compared to the unscented Kalman filter, the accuracy of the retrieval Temperature distribution is improved significantly, the deviation and oscillation of the retrieval time-dependent heat flux are also decreased substantially.